Presentazione finale
•Download as PPTX, PDF•
0 likes•130 views
The document describes SmartECG, a system that uses a heartbeat sensor on an STM32 Nucleo board to detect atrial fibrillation in athletes in real time. The system preprocesses heartbeat data and runs it through a KNN machine learning algorithm to identify fibrillation. If detected, a notification is sent to a mobile app via Bluetooth. The app displays the user's heart rate and any fibrillation notifications to the user. The system is accurate at detecting fibrillation 94-97% of the time.
Report
Share
Report
Share
Recommended
Heart beat monitoring system using arduino with iot
To Monitor the heartbeat. We can monitor the heart beat anywhere.It is latest project to monitor the heartbeat
Heart beat detector using arduino
This system measures your heartbeat(BPM). We developed this system at the Technical University Of Sofia, Bulgaria.
Instant elelectrocardiogram monitoring in android smart phones
ECG (electrocardiogram) is very essential component for the doctors to diagnose the state of patient’s cardiovascular system. In critical situations doctors may need to examine ECG of patient instantly to take a firm and better decision in their absence near patient. In this paper a better way of instant ECG datatransfer, processing and display is demonstrated. Here ECG is acquired using simple 3 electrode single lead configuration then it is digitized and transmitted to Android smart phone in SMS message format. This SMS data is a bundle of values representing digital ECG. Acquired SMS data is fetched from inbox of the phone and processed for calculation of heart rate and detection of arrhythmia by Android application software. Then ECG is displayed on phone screen along with conclusion of heart rate and arrhythmia (if any).
Heart rate monitoring system using arduino
The heart acts as a pump that circulates oxygen and
nutrient carrying blood around the body in order to keep
it functioning. When the body is exerted the rate at which
the heart beats will vary proportional to the amount of
effort being exerted. By detecting the voltage created by
the beating of the heart, its rate can be easily observed
and used for a number of health purposes. Heart pounds
to pump oxygen-rich blood to your muscles and to carry
cell waste products away from your muscles. The heart rate gives a good indication during exercise routines of
how effective that routine is improving your health.
Mvp smart ecg
A system called SmartECG uses a heart rate monitor and machine learning to detect atrial fibrillation in athletes. It works by having a sensor detect heartbeats, sending the data to an STM32 board via Bluetooth, and then using an Android app and machine learning algorithm trained on ECG data to analyze the heartbeats and notify the user if fibrillation is detected. The goal is to more precisely detect fibrillation compared to typical heart rate monitors that only check fixed thresholds.
Eg24842846
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Arduino Based Abnormal Heart Rate Detection and Wireless Communication
This document describes the development of a system to monitor a patient's heart rate using a photoplethysmograph (PPG) sensor and send alerts via SMS if any abnormalities are detected. The system interfaces an Arduino board with a 3G shield to send SMS messages. It analyzes the PPG signal to determine heart rate and sends an SMS to a doctor if the rate is abnormal. The system was tested and able to successfully make calls, send SMS messages, and monitor heart rate using the PPG sensor and Arduino.
Implementation Of Real Time IoT Based Health monitoring system
This is a project implemented by me and my friends during our final year. It is designed for doctors who are not able to be with the patients all the time. This improves the gap between the patients and the doctors.
Recommended
Heart beat monitoring system using arduino with iot
To Monitor the heartbeat. We can monitor the heart beat anywhere.It is latest project to monitor the heartbeat
Heart beat detector using arduino
This system measures your heartbeat(BPM). We developed this system at the Technical University Of Sofia, Bulgaria.
Instant elelectrocardiogram monitoring in android smart phones
ECG (electrocardiogram) is very essential component for the doctors to diagnose the state of patient’s cardiovascular system. In critical situations doctors may need to examine ECG of patient instantly to take a firm and better decision in their absence near patient. In this paper a better way of instant ECG datatransfer, processing and display is demonstrated. Here ECG is acquired using simple 3 electrode single lead configuration then it is digitized and transmitted to Android smart phone in SMS message format. This SMS data is a bundle of values representing digital ECG. Acquired SMS data is fetched from inbox of the phone and processed for calculation of heart rate and detection of arrhythmia by Android application software. Then ECG is displayed on phone screen along with conclusion of heart rate and arrhythmia (if any).
Heart rate monitoring system using arduino
The heart acts as a pump that circulates oxygen and
nutrient carrying blood around the body in order to keep
it functioning. When the body is exerted the rate at which
the heart beats will vary proportional to the amount of
effort being exerted. By detecting the voltage created by
the beating of the heart, its rate can be easily observed
and used for a number of health purposes. Heart pounds
to pump oxygen-rich blood to your muscles and to carry
cell waste products away from your muscles. The heart rate gives a good indication during exercise routines of
how effective that routine is improving your health.
Mvp smart ecg
A system called SmartECG uses a heart rate monitor and machine learning to detect atrial fibrillation in athletes. It works by having a sensor detect heartbeats, sending the data to an STM32 board via Bluetooth, and then using an Android app and machine learning algorithm trained on ECG data to analyze the heartbeats and notify the user if fibrillation is detected. The goal is to more precisely detect fibrillation compared to typical heart rate monitors that only check fixed thresholds.
Eg24842846
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Arduino Based Abnormal Heart Rate Detection and Wireless Communication
This document describes the development of a system to monitor a patient's heart rate using a photoplethysmograph (PPG) sensor and send alerts via SMS if any abnormalities are detected. The system interfaces an Arduino board with a 3G shield to send SMS messages. It analyzes the PPG signal to determine heart rate and sends an SMS to a doctor if the rate is abnormal. The system was tested and able to successfully make calls, send SMS messages, and monitor heart rate using the PPG sensor and Arduino.
Implementation Of Real Time IoT Based Health monitoring system
This is a project implemented by me and my friends during our final year. It is designed for doctors who are not able to be with the patients all the time. This improves the gap between the patients and the doctors.
Implementation Of Real Time IoT Based Health monitoring system
The main aim of this project is to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to elderly people. Health monitoring for active and assisted living is one of the paradigms that can use the IOT advantages to improve the elderly lifestyle in this project we present an IOT architecture customized for healthcare applications. The proposed architecture collects the data and relays it to the cloud where it is processed and analyzed. Feedback actions based on the analyzed data can be sent back to the user.
Heart Beat Monitoring System
This document describes a heart rate monitoring system using an Arduino. It discusses using a pulse sensor to detect heartbeats which are then sent to an Arduino Uno microcontroller. The Arduino calculates beats per minute over 10 seconds and displays it on an LCD screen. Potential benefits are monitoring heart health for those at risk of heart attacks. It outlines the hardware, components, schematics and programming involved. Future applications discussed include integrating ECG measurements into a wearable smart t-shirt.
REAL TIME HEART BEAT MONITORING SYSTEM USING PIC16F876 MICROCONTROLLER
The work is aimed at measurement of heartbeat and displays the information on an alphanumeric (or Graphical) LCD display. The heartbeat monitor uses LED and an LDR based sensor to determine the heartbeat.
Real time heart monitoring system
Real Time Heart Monitoring System- Ingenuously built arduino based Project for the fulfillment of the B.Tech. Degree
IOT based Patient Health Monitoring System using Raspberry pi 3
This document describes an IOT-based patient health monitoring system using a Raspberry Pi 3. The system monitors a patient's temperature and heartbeat in real-time using sensors. The sensor data is sent to the Raspberry Pi 3 and displayed locally. It is also sent over the internet to a web server where doctors and caregivers can access it from anywhere. If vital signs go outside normal ranges, an alert is sent and a buzzer sounds to notify caregivers. This allows for continuous remote patient monitoring to improve health outcomes.
A portable electrocardiogram for real‑time monitoring of cardiac
This document presents a portable electrocardiogram (ECG) system for real-time cardiac monitoring. The system consists of three main units: 1) a data acquisition circuit that detects ECG signals using electrodes and amplifies/filters the signals, 2) a data processing unit with a microcontroller that converts the analog signals to digital and transmits them wirelessly using ZigBee, and 3) a graphical user interface (GUI) unit that displays the ECG signals on a computer in real-time using LabVIEW or MATLAB. Testing showed the hardware and software operated correctly to produce distortion-free ECG signals in real-time on the GUI. However, the system could be improved by adding the ability to differentiate
Continuous heart rate and body temperature monitoring system using arduino un...
Continuous heart rate and body temperature monitoring system using arduino un...Engr. Md. Siddiqur Rahman Tanveer
An integrated portable device for continuous heart rate and body temperature monitoring system development is presented in this paper (Proc. of 2nd EICT, 2015). Heart related diseases are increasing day by day; therefore, an accurate, affordable and portable heart rate and body temperature measuring device is essential for taking action in proper time. Such a device is more essential in a situation where there is no doctor or clinic nearby (e.g., rural area) and patients are unable not recognize their actual condition. The developed system of this study consists of Arduino UNO microcontroller system, transmission system and Android based application. The system gives information of heart rate and body temperature simultaneously acquired on the portable device in real time and shows it through the connected Android application instantly. The developed system is more affordable with low price compared to other developed devices due to use of easy available Arduino UNO and smart phone as Android device. The developed device is shown acceptable outcomes when compared with other measuring devices.Walking stick with heart attack detection
The document describes a walking stick that detects heart attacks to help alert emergency services. It contains an ECG circuit on the wrist that detects heart activity and sends the digital data via Bluetooth to an algorithm in the stick. If a heart attack is detected, the stick uses Bluetooth to automatically call emergency services via the user's phone. The goal is to help seniors and heart patients get rapid medical help to reduce deaths from heart attacks.
Arduino based heartbeat monitoring system.
Technological innovations in the field of disease prevention and maintenance of patient health have enabled the evolution of fields such as monitoring systems. Heart rate is a very vital health parameter that is directly related to the soundness of the human cardiovascular system. Heart rate is the number of times the heart beats per minute, reflects different physiological conditions such as biological workload, stress at work and concentration on tasks, drowsiness and the active state of the autonomic nervous system. It can be measured either by the ECG waveform or by sensing the pulse - the rhythmic expansion and contraction of an artery as blood is forced through it by the regular contractions of the heart. The pulse can be felt from those areas where the artery is close to the skin. This paper describes a technique of measuring the heart rate through a fingertip and Arduino. It is based on the principal of photophelthysmography (PPG) which is non-invasive method of measuring the variation in blood volume in tissue using a light source and detector. While the heart is beating, it is actually pumping blood throughout the body, and that makes the blood volume inside the finger artery to change too. This fluctuation of blood can be detected through an optical sensing mechanism placed around the fingertip. The signal can be amplified and is sent to Arduino with the help of serial port communication. With the help of processing software heart rate monitoring and counting is performed. The sensor unit consists of an infrared light-emitting-diode (IR LED) and a photo diode. The IR LED transmits an infrared light into the fingertip, a part of which is reflected back from the blood inside the finger arteries. The photo diode senses the portion of the light that is reflected back. The intensity of reflected light depends upon the blood volume inside the fingertip. So, every time the heart beats the amount of reflected infrared light changes, which can be detected by the photo diode. With a high gain amplifier, this little alteration in the amplitude of the reflected light can be converted into a pulse.
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorAssociate Professor in VSB Coimbatore
The epidemic growth of wireless technology and mobile services in this epoch is creating a great impact on our life style. Some early efforts have been taken to utilize these technologies in medical industry. In this field, ECG sensor based advanced wireless patient monitoring system concept is a new innovative idea. This system aims to provide health care to the patient. We have sensed the patient’s ECG through 3 lead electrode system via AD8232 which amplifies minor and small bio-signals to the arduino which processes them, along with saline level. Saline level is detected through IR sensors. The output of the electrical pulse is shown with the serial monitor. The saline level is indicated by LCD. The major output ECG analog signal is displayed on serial plotter. The outputs are displayed through mobile application.IOT BASED BLACK BOX DEVICE FOR VEHICLE DETECTION
The data required in vehicle motor cash investigation is lost and also inputs taken from eye witness , victims and police reports may not be accurate to state the cause of an accident. The death rate due to an accident on roads can be reduced by minimizing the delay in rescuing operation. In order to claim insurance detailed information is a prerequisite that how accident took place.
A Wireless Methodology of Heart Attack Detection
The wrist watch with Heart Attack Detection is equipment that is used daily to indicate heart condition, to detect heart attack and to call for emergency help. It was designed specially to help patients with heart disease.This includes three common sub units. They are Circuit, Analysis Algorithm, and Bluetooth Communication. The first one is to wear on the wrist of the patient to captures the abnormal heart beat waves from the victim and the alternate methods are installed under the stick. This project is based on the previous project “Wireless Heart Attack Detector with GPS†of Fall 2004 [1]. we consider a big improvement in reducing the complexity of the project greatly, in saving power consumption of the project to run much fewer codes and in making the project to run at a faster time. No wire is attached to the wrists. In our project, the ECG waveform is transmitted wirelessly from the wrists to the watch. This gives the user great flexibility while the program is switched on and running. User can drive safely, can use restroom easily and can function normally like without the project. Previous project had the wire connection. All the hardware on the walking watch would have been strapped to the wrists. This will not make the project functional and marketable. Our project is completely portable. Heart condition is displayed in our project. The previous project did not inform the user about his heart condition. We display the heart condition through two LEDs as low-risk (alert level between 4 and 6) and high risk (alert level between 7 and 9). The user can know their heart condition and take proper action to avoid the fatal moment. Proper action could be slowing down and taking a rest.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
Heart rate monitor system
The document outlines the design of a heart rate reader device using an Atmel ATmega164a microcontroller development board. It includes sections on the scope of delivery, project timeline, hardware and software design, and testing. The hardware design involves collecting heart rate signals from dry electrodes or a finger clip sensor, amplifying and filtering the signals, and sending the digital output to the microcontroller. The firmware will use the analog comparator and ADC to detect heartbeats, count pulses, calculate beats per minute, and display the output on an LCD or send it over UART to a GUI. Risks like component damage and delays are also addressed.
IRJET- IoT based Patient Health Monitoring System using Raspberry Pi-3
This document describes an IoT-based patient health monitoring system using a Raspberry Pi 3. The system monitors a patient's temperature, humidity, and pulse rate using sensors and sends the real-time information over the internet. It can alert doctors and caregivers if any of the vital signs are outside normal ranges to help address critical health situations quickly. The system uses a Raspberry Pi 3 microcontroller connected to a temperature and humidity sensor, pulse rate sensor, piezo buzzer, and HDMI display. It sends the sensor data to an Adafruit webpage via WiFi so the patient's health status can be monitored remotely from any internet-connected device.
Heartbeat monitor USING IC PIC16F72
This document describes a microcontroller-based heart rate monitoring project. The project uses a light-based sensor to detect changes in blood volume in the finger with each heartbeat. The microcontroller counts the heartbeats over a 15 second period and displays the heart rate measurement on a 7-segment LED display. Key features include a digital optical heart rate sensor, 15 second sampling time, 3 digit display, on-board pulse LED indicator, start-stop and reset buttons, and a microcontroller design for flexibility. The document discusses the system block diagram and functions of the microcontroller, heart rate sensor, display, and oscillator. It also provides the typical adult heart rate range and explains how the heart rate is detected and measured.
HEALTH MONITORING SYSTEM using mbed NXP LPC11U24
This project describes the design of a heart rate monitoring system using an mbed NXP LPC11U24 microcontroller and a heart beat sensor. The system measures the user's heart rate continuously and checks if it is abnormal. If an abnormal reading is detected, an alarm is raised. The system consists of a heart beat sensor, microcontroller, LCD display and other components like a temperature sensor. The heart beat sensor provides analog output of the heart beat which is read by the microcontroller through an ADC. The readings are displayed on the LCD and the system can send alerts in case of abnormalities.
Survey of a Symptoms Monitoring System for Covid-19
The Internet of Things (IOT) depicts the organization of actual items that are implanted with sensors, programming, and different advances for the point of interfacing and trading information with different gadgets and frameworks over the web . In this day and age, there are numerous IOT based, these IOT based gadgets and machines range from wearable like brilliant watches to RFID stock following chips. IOT associated gadgets convey by means of organizations or cloud-based stages associated with the snare of Things. Among the applications that Internet of Things (IOT) encouraged to the planet , Healthcare applications are generally imperative . There are numerous wellbeing checking gadgets accessible. These framework comprises two sensors that is Heartbeat and blood heat sensor and furthermore contains Arduino UNO. This versatile gadget will screen heartbeat and blood heat utilizing sensors. The framework utilizes Arduino board which is associated with heart beat sensor and temperature sensor. The framework will take contribution from the guts beat and blood heat sensors and can send the data to Arduino. The Arduino will send the information of two sensors to LCD alphanumeric presentation . This presentation will show the perusing of the heartbeat sensor and blood heat sensor in BPM (Beats Per Minute) and in Celsius or Fahrenheit.
7c457e8657c654c22747faeda03f8e180c5d
Real-time Electrocardiogram Monitoring - Bradley University.
A wearable device that monitors ecg. it performs ecg signal processing and alerts the current health readings in real time.
IoT Based Patient Health Monitoring System
This document describes an IoT-based patient health monitoring system developed by four students. The system uses sensors to monitor a patient's heartbeat and temperature wirelessly and send alerts in critical conditions over the internet. It was created for home use by non-critical patients to allow doctors and family to remotely monitor them. If any abnormal readings are detected, an SMS is sent to notify the doctor or family members so they can provide quick assistance, which could help save lives. The system collects data from biomedical sensors using a microcontroller and transmits it via a Wi-Fi module.
Smart ecg
The document proposes a Smart ECG system to detect atrial fibrillation in athletes using a heartbeat sensor like a heart rate monitor. The system includes a sensor, STM32 microcontroller board, and mobile app. The sensor detects heartbeats and sends data via Bluetooth to the board. A machine learning algorithm processes the data to identify fibrillation patterns and sends results to the mobile app for user notification. A survey found users liked the idea and notification by mobile app, and suggested ensuring precise measurements and the ability to notify doctors. The system aims to provide more precise fibrillation detection than generic heart rate monitors.
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
New wireless system for biomedical purposes gives new possibilities for monitoring of essential function in human being. Wearable biomedical sensors will give the patient the freedom to be capable of moving readily and still be under continuously monitoring regularity of heartbeats identify any damage to the heart and devices used to regulate the heart and thereby to better quality of patient care. This paper describes a new concept for wireless and portable electrocardiogram (ECG) sensor transmitting signals to a monitoring station at the remote location within specific range, and this concept is intended for monitoring people with impairments in their cardiac activity. The proposed work helps to overcome this problem. With the advancement in Arduino and mobile technology, it is possible to design a portable ECG device which capture ECG of patient and monitor it on mobile platform. This report goes over low power Arduino, mobile platform Panda board and Zigbee technology to couple ECG over mobile board.
More Related Content
What's hot
Implementation Of Real Time IoT Based Health monitoring system
The main aim of this project is to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to elderly people. Health monitoring for active and assisted living is one of the paradigms that can use the IOT advantages to improve the elderly lifestyle in this project we present an IOT architecture customized for healthcare applications. The proposed architecture collects the data and relays it to the cloud where it is processed and analyzed. Feedback actions based on the analyzed data can be sent back to the user.
Heart Beat Monitoring System
This document describes a heart rate monitoring system using an Arduino. It discusses using a pulse sensor to detect heartbeats which are then sent to an Arduino Uno microcontroller. The Arduino calculates beats per minute over 10 seconds and displays it on an LCD screen. Potential benefits are monitoring heart health for those at risk of heart attacks. It outlines the hardware, components, schematics and programming involved. Future applications discussed include integrating ECG measurements into a wearable smart t-shirt.
REAL TIME HEART BEAT MONITORING SYSTEM USING PIC16F876 MICROCONTROLLER
The work is aimed at measurement of heartbeat and displays the information on an alphanumeric (or Graphical) LCD display. The heartbeat monitor uses LED and an LDR based sensor to determine the heartbeat.
Real time heart monitoring system
Real Time Heart Monitoring System- Ingenuously built arduino based Project for the fulfillment of the B.Tech. Degree
IOT based Patient Health Monitoring System using Raspberry pi 3
This document describes an IOT-based patient health monitoring system using a Raspberry Pi 3. The system monitors a patient's temperature and heartbeat in real-time using sensors. The sensor data is sent to the Raspberry Pi 3 and displayed locally. It is also sent over the internet to a web server where doctors and caregivers can access it from anywhere. If vital signs go outside normal ranges, an alert is sent and a buzzer sounds to notify caregivers. This allows for continuous remote patient monitoring to improve health outcomes.
A portable electrocardiogram for real‑time monitoring of cardiac
This document presents a portable electrocardiogram (ECG) system for real-time cardiac monitoring. The system consists of three main units: 1) a data acquisition circuit that detects ECG signals using electrodes and amplifies/filters the signals, 2) a data processing unit with a microcontroller that converts the analog signals to digital and transmits them wirelessly using ZigBee, and 3) a graphical user interface (GUI) unit that displays the ECG signals on a computer in real-time using LabVIEW or MATLAB. Testing showed the hardware and software operated correctly to produce distortion-free ECG signals in real-time on the GUI. However, the system could be improved by adding the ability to differentiate
Continuous heart rate and body temperature monitoring system using arduino un...
Continuous heart rate and body temperature monitoring system using arduino un...Engr. Md. Siddiqur Rahman Tanveer
An integrated portable device for continuous heart rate and body temperature monitoring system development is presented in this paper (Proc. of 2nd EICT, 2015). Heart related diseases are increasing day by day; therefore, an accurate, affordable and portable heart rate and body temperature measuring device is essential for taking action in proper time. Such a device is more essential in a situation where there is no doctor or clinic nearby (e.g., rural area) and patients are unable not recognize their actual condition. The developed system of this study consists of Arduino UNO microcontroller system, transmission system and Android based application. The system gives information of heart rate and body temperature simultaneously acquired on the portable device in real time and shows it through the connected Android application instantly. The developed system is more affordable with low price compared to other developed devices due to use of easy available Arduino UNO and smart phone as Android device. The developed device is shown acceptable outcomes when compared with other measuring devices.Walking stick with heart attack detection
The document describes a walking stick that detects heart attacks to help alert emergency services. It contains an ECG circuit on the wrist that detects heart activity and sends the digital data via Bluetooth to an algorithm in the stick. If a heart attack is detected, the stick uses Bluetooth to automatically call emergency services via the user's phone. The goal is to help seniors and heart patients get rapid medical help to reduce deaths from heart attacks.
Arduino based heartbeat monitoring system.
Technological innovations in the field of disease prevention and maintenance of patient health have enabled the evolution of fields such as monitoring systems. Heart rate is a very vital health parameter that is directly related to the soundness of the human cardiovascular system. Heart rate is the number of times the heart beats per minute, reflects different physiological conditions such as biological workload, stress at work and concentration on tasks, drowsiness and the active state of the autonomic nervous system. It can be measured either by the ECG waveform or by sensing the pulse - the rhythmic expansion and contraction of an artery as blood is forced through it by the regular contractions of the heart. The pulse can be felt from those areas where the artery is close to the skin. This paper describes a technique of measuring the heart rate through a fingertip and Arduino. It is based on the principal of photophelthysmography (PPG) which is non-invasive method of measuring the variation in blood volume in tissue using a light source and detector. While the heart is beating, it is actually pumping blood throughout the body, and that makes the blood volume inside the finger artery to change too. This fluctuation of blood can be detected through an optical sensing mechanism placed around the fingertip. The signal can be amplified and is sent to Arduino with the help of serial port communication. With the help of processing software heart rate monitoring and counting is performed. The sensor unit consists of an infrared light-emitting-diode (IR LED) and a photo diode. The IR LED transmits an infrared light into the fingertip, a part of which is reflected back from the blood inside the finger arteries. The photo diode senses the portion of the light that is reflected back. The intensity of reflected light depends upon the blood volume inside the fingertip. So, every time the heart beats the amount of reflected infrared light changes, which can be detected by the photo diode. With a high gain amplifier, this little alteration in the amplitude of the reflected light can be converted into a pulse.
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorAssociate Professor in VSB Coimbatore
The epidemic growth of wireless technology and mobile services in this epoch is creating a great impact on our life style. Some early efforts have been taken to utilize these technologies in medical industry. In this field, ECG sensor based advanced wireless patient monitoring system concept is a new innovative idea. This system aims to provide health care to the patient. We have sensed the patient’s ECG through 3 lead electrode system via AD8232 which amplifies minor and small bio-signals to the arduino which processes them, along with saline level. Saline level is detected through IR sensors. The output of the electrical pulse is shown with the serial monitor. The saline level is indicated by LCD. The major output ECG analog signal is displayed on serial plotter. The outputs are displayed through mobile application.IOT BASED BLACK BOX DEVICE FOR VEHICLE DETECTION
The data required in vehicle motor cash investigation is lost and also inputs taken from eye witness , victims and police reports may not be accurate to state the cause of an accident. The death rate due to an accident on roads can be reduced by minimizing the delay in rescuing operation. In order to claim insurance detailed information is a prerequisite that how accident took place.
A Wireless Methodology of Heart Attack Detection
The wrist watch with Heart Attack Detection is equipment that is used daily to indicate heart condition, to detect heart attack and to call for emergency help. It was designed specially to help patients with heart disease.This includes three common sub units. They are Circuit, Analysis Algorithm, and Bluetooth Communication. The first one is to wear on the wrist of the patient to captures the abnormal heart beat waves from the victim and the alternate methods are installed under the stick. This project is based on the previous project “Wireless Heart Attack Detector with GPS†of Fall 2004 [1]. we consider a big improvement in reducing the complexity of the project greatly, in saving power consumption of the project to run much fewer codes and in making the project to run at a faster time. No wire is attached to the wrists. In our project, the ECG waveform is transmitted wirelessly from the wrists to the watch. This gives the user great flexibility while the program is switched on and running. User can drive safely, can use restroom easily and can function normally like without the project. Previous project had the wire connection. All the hardware on the walking watch would have been strapped to the wrists. This will not make the project functional and marketable. Our project is completely portable. Heart condition is displayed in our project. The previous project did not inform the user about his heart condition. We display the heart condition through two LEDs as low-risk (alert level between 4 and 6) and high risk (alert level between 7 and 9). The user can know their heart condition and take proper action to avoid the fatal moment. Proper action could be slowing down and taking a rest.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
Heart rate monitor system
The document outlines the design of a heart rate reader device using an Atmel ATmega164a microcontroller development board. It includes sections on the scope of delivery, project timeline, hardware and software design, and testing. The hardware design involves collecting heart rate signals from dry electrodes or a finger clip sensor, amplifying and filtering the signals, and sending the digital output to the microcontroller. The firmware will use the analog comparator and ADC to detect heartbeats, count pulses, calculate beats per minute, and display the output on an LCD or send it over UART to a GUI. Risks like component damage and delays are also addressed.
IRJET- IoT based Patient Health Monitoring System using Raspberry Pi-3
This document describes an IoT-based patient health monitoring system using a Raspberry Pi 3. The system monitors a patient's temperature, humidity, and pulse rate using sensors and sends the real-time information over the internet. It can alert doctors and caregivers if any of the vital signs are outside normal ranges to help address critical health situations quickly. The system uses a Raspberry Pi 3 microcontroller connected to a temperature and humidity sensor, pulse rate sensor, piezo buzzer, and HDMI display. It sends the sensor data to an Adafruit webpage via WiFi so the patient's health status can be monitored remotely from any internet-connected device.
Heartbeat monitor USING IC PIC16F72
This document describes a microcontroller-based heart rate monitoring project. The project uses a light-based sensor to detect changes in blood volume in the finger with each heartbeat. The microcontroller counts the heartbeats over a 15 second period and displays the heart rate measurement on a 7-segment LED display. Key features include a digital optical heart rate sensor, 15 second sampling time, 3 digit display, on-board pulse LED indicator, start-stop and reset buttons, and a microcontroller design for flexibility. The document discusses the system block diagram and functions of the microcontroller, heart rate sensor, display, and oscillator. It also provides the typical adult heart rate range and explains how the heart rate is detected and measured.
HEALTH MONITORING SYSTEM using mbed NXP LPC11U24
This project describes the design of a heart rate monitoring system using an mbed NXP LPC11U24 microcontroller and a heart beat sensor. The system measures the user's heart rate continuously and checks if it is abnormal. If an abnormal reading is detected, an alarm is raised. The system consists of a heart beat sensor, microcontroller, LCD display and other components like a temperature sensor. The heart beat sensor provides analog output of the heart beat which is read by the microcontroller through an ADC. The readings are displayed on the LCD and the system can send alerts in case of abnormalities.
Survey of a Symptoms Monitoring System for Covid-19
The Internet of Things (IOT) depicts the organization of actual items that are implanted with sensors, programming, and different advances for the point of interfacing and trading information with different gadgets and frameworks over the web . In this day and age, there are numerous IOT based, these IOT based gadgets and machines range from wearable like brilliant watches to RFID stock following chips. IOT associated gadgets convey by means of organizations or cloud-based stages associated with the snare of Things. Among the applications that Internet of Things (IOT) encouraged to the planet , Healthcare applications are generally imperative . There are numerous wellbeing checking gadgets accessible. These framework comprises two sensors that is Heartbeat and blood heat sensor and furthermore contains Arduino UNO. This versatile gadget will screen heartbeat and blood heat utilizing sensors. The framework utilizes Arduino board which is associated with heart beat sensor and temperature sensor. The framework will take contribution from the guts beat and blood heat sensors and can send the data to Arduino. The Arduino will send the information of two sensors to LCD alphanumeric presentation . This presentation will show the perusing of the heartbeat sensor and blood heat sensor in BPM (Beats Per Minute) and in Celsius or Fahrenheit.
7c457e8657c654c22747faeda03f8e180c5d
Real-time Electrocardiogram Monitoring - Bradley University.
A wearable device that monitors ecg. it performs ecg signal processing and alerts the current health readings in real time.
IoT Based Patient Health Monitoring System
This document describes an IoT-based patient health monitoring system developed by four students. The system uses sensors to monitor a patient's heartbeat and temperature wirelessly and send alerts in critical conditions over the internet. It was created for home use by non-critical patients to allow doctors and family to remotely monitor them. If any abnormal readings are detected, an SMS is sent to notify the doctor or family members so they can provide quick assistance, which could help save lives. The system collects data from biomedical sensors using a microcontroller and transmits it via a Wi-Fi module.
What's hot (20)
Implementation Of Real Time IoT Based Health monitoring system
Implementation Of Real Time IoT Based Health monitoring system
REAL TIME HEART BEAT MONITORING SYSTEM USING PIC16F876 MICROCONTROLLER
REAL TIME HEART BEAT MONITORING SYSTEM USING PIC16F876 MICROCONTROLLER
IOT based Patient Health Monitoring System using Raspberry pi 3
IOT based Patient Health Monitoring System using Raspberry pi 3
A portable electrocardiogram for real‑time monitoring of cardiac
A portable electrocardiogram for real‑time monitoring of cardiac
Continuous heart rate and body temperature monitoring system using arduino un...
Continuous heart rate and body temperature monitoring system using arduino un...
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...
IRJET- IoT based Patient Health Monitoring System using Raspberry Pi-3
IRJET- IoT based Patient Health Monitoring System using Raspberry Pi-3
Survey of a Symptoms Monitoring System for Covid-19
Survey of a Symptoms Monitoring System for Covid-19
Similar to Presentazione finale
Smart ecg
The document proposes a Smart ECG system to detect atrial fibrillation in athletes using a heartbeat sensor like a heart rate monitor. The system includes a sensor, STM32 microcontroller board, and mobile app. The sensor detects heartbeats and sends data via Bluetooth to the board. A machine learning algorithm processes the data to identify fibrillation patterns and sends results to the mobile app for user notification. A survey found users liked the idea and notification by mobile app, and suggested ensuring precise measurements and the ability to notify doctors. The system aims to provide more precise fibrillation detection than generic heart rate monitors.
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
New wireless system for biomedical purposes gives new possibilities for monitoring of essential function in human being. Wearable biomedical sensors will give the patient the freedom to be capable of moving readily and still be under continuously monitoring regularity of heartbeats identify any damage to the heart and devices used to regulate the heart and thereby to better quality of patient care. This paper describes a new concept for wireless and portable electrocardiogram (ECG) sensor transmitting signals to a monitoring station at the remote location within specific range, and this concept is intended for monitoring people with impairments in their cardiac activity. The proposed work helps to overcome this problem. With the advancement in Arduino and mobile technology, it is possible to design a portable ECG device which capture ECG of patient and monitor it on mobile platform. This report goes over low power Arduino, mobile platform Panda board and Zigbee technology to couple ECG over mobile board.
Pulse Plus: Engineered Heart Monitoring Device
These is hardware based project. Here we try to make an portable ECG device using Arduino and ECG sensor.
IRJET- Heart Attack Detection by Heartbeat Sensing using Internet of thin...
This document describes a system for detecting heart attacks using sensors to monitor heartbeat and other vital signs connected over the Internet of Things (IoT). The system uses sensors attached to a patient to monitor their heartbeat, temperature, and blood pressure. If any readings go above or below thresholds set by a doctor, an alert is sent over WiFi to a central monitoring station. This allows one person to monitor multiple patients from a single location. The system aims to help detect heart problems early and reduce deaths from heart attacks. It uses microcontrollers to collect sensor data and transmit over WiFi while displaying current readings on an LCD screen. This portable system could allow people to monitor their health from home and help improve medical access.
Design and implementation of portable electrocardiogram recorder with field ...
The electrical activities of the heart are used to monitor cardiovascular diseases. It can be measured using electrocardiogram (ECG), a simple, painless test that can be recorded graphically. The physician, to predict the patient’s heart conditions and recommend suitable treatments, uses electrodes placed on the patient’s skin surface, to record these signals. The P, Q, R, S, T waves in the ECG signal can be used to determine the normality and abnormality of the heart's condition. The time interval differs for each cardiovascular condition of the heart. In this work, the ECG signal is acquired real-time using an intelligent sensor module, and the recorded value is processed to find the peak values. The data is sent to the web server using internet of things technology at a minimal time, where the physician can view it and proper decision can be taken. The real-time ECG data acquisition is also made using the field programmable gate array kit as it is a low cost, high-speed device and the output is viewed in the computer. The developed model is validated through MATLAB software and implemented for real-time applications.
IRJET- Design and Implementation of Low Cost Ecg Monitoring System using Smar...
This document describes the design and implementation of a low-cost ECG monitoring system using smart devices like mobile phones and laptops. The system uses Bluetooth to transmit ECG data from sensor electrodes to a mobile phone in real-time. It can also transmit to a laptop using Zigbee for longer distances. The data is displayed on the smart devices through custom software applications, allowing patients to monitor their heart remotely. This low-cost portable design could help detect cardiovascular issues earlier and improve healthcare access for remote patients.
HEART RATE MONITORING SYSTEM USING IOT
This document describes a heart rate monitoring system using IoT. The system uses a Node MCU microcontroller connected to a heart rate sensor to monitor a patient's heartbeats. The heart rate data is transmitted wirelessly via an ESP8266 WiFi module and displayed on an LCD screen. The data is also sent to a cloud server using Blynk IoT software. Doctors can access the patient's heart rate data in real-time on their smartphone to continuously monitor the patient's health status. The system aims to enable remote patient health monitoring in a low-cost and convenient manner compared to traditional hospital visits.
ECG monitoring on android smartphone
This document outlines a project to monitor ECG signals on an Android smartphone. It includes an introduction, sections on what an ECG is and why Android was chosen, a block diagram of the system components, and a conclusion. The system will use an ECG sensor, amplifier, ADC, heart rate sensor, microcontroller, serial interface, and Bluetooth module to monitor and analyze a patient's heart condition through ECG electrodes and display a graph on an Android phone. The goals are to implement ECG monitoring outside of a hospital setting using wearable, robust hardware that can be used in remote areas.
heart rate monitoring using mobile technology
Periodically monitoring of heart beat rate through the sensors and using mobile technology to calculate the risk level. If beat rate crosses certain risk values, then peers related to the user should be intimated about the user health.
Brain controlled-car-for-disabled
This document describes a proposed brain-controlled car for disabled individuals. The car would use an EEG helmet and brain-computer interface to allow disabled drivers to control the car using only their thoughts. The car would integrate various sensors and have automatic navigation capabilities. It would use artificial intelligence to analyze the driver's brain signals and compare them to a database in order to control the car. The goal is to create a car that would allow disabled people greater independence and mobility.
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
The heart is an organ of human body which has a vital function, small abnormalities can have a big impact
on the performance of the body. Heart disease is the number one cause of death in the world. Examination
of the heart can be detected from blood flow in the fingertips, in order to obtain information about the
number and rhythm of the heartbeat. This research aims to design and implement the FPGA board to
monitor the heart rate with optical sensors.The results of this study are expected to facilitate the patient's
medical team or independently in detecting heart health. The series is composed of blocks of sensors,
signal conditioning block, the block pulse counter, block timer 10 seconds and blocks the viewer. Based on
the test results of the 10 respondents with a variety of age and gender, has built a tool that the percentage
error of 3.94%.
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
The heart is an organ of human body which has a vital function, small abnormalities can have a big impact
on the performance of the body. Heart disease is the number one cause of death in the world. Examination
of the heart can be detected from blood flow in the fingertips, in order to obtain information about the
number and rhythm of the heartbeat. This research aims to design and implement the FPGA board to
monitor the heart rate with optical sensors.The results of this study are expected to facilitate the patient's
medical team or independently in detecting heart health. The series is composed of blocks of sensors,
signal conditioning block, the block pulse counter, block timer 10 seconds and blocks the viewer. Based on
the test results of the 10 respondents with a variety of age and gender, has built a tool that the percentage
error of 3.94%.
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Day by day the scope and use of the electronics concepts in bio-medical field is increasing gradually. A novel approach to the design of real time ECG signal acquisition system for patient monitoring in medical application, FPGA Field Programmable Gate Array is the core heart of proposed system which is configured and programmed to acquire using ECG Electrocardiogram sensor. In this paper a new concept of ECG telemetry system is discussed along with signal quality aware IoT framework for energy efficient ECG monitoring system. Tele monitoring is a medical practice that involves monitoring patients who are not at the same location as the healthcare provider. The purpose of the present study is use to identify heart condition and give the information to the doctor. The objective of the study is to improve the doctor-patient ratio and evaluation of cardiac diseases in the rural population. The proposed system for the electrocardiogram ECG monitoring controlled by FPGA and implemented in the form of android application. Dhanashri P. Yamagekar | Dr. P. C. Bhaskar "Real Time Signal Quality Aware Internet of Things (IOT) Framework for FPGA Based ECG Telemetry System and Development of Android Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18938.pdf
http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18938/real-time-signal-quality-aware-internet-of-things-iot-framework-for-fpga-based-ecg-telemetry-system-and-development-of-android-application/dhanashri-p-yamagekar
Angina Pectoris Predicting System using Embedded Systems and Big Data
This document describes a system that uses embedded sensors and machine learning to predict angina pectoris (chest pain). The system collects patient data like heart rate, ECG, temperature and oxygen levels using sensors connected to an Arduino board. This data is sent to a cloud platform and analyzed using five machine learning algorithms. The K-NN and Random Forest algorithms achieved the highest accuracy and are used for prediction. The trained models are stored on a website to allow users to input patient data and receive predictions of whether they have the disease.
Fpga based heartbeats monitor with
This document describes the design and implementation of an FPGA-based heart rate monitoring device using an optical fingertip sensor. The device consists of several blocks: an optical sensor unit to detect blood flow, a signal conditioning unit to filter and amplify the sensor signal, a pulse counter unit implemented on the FPGA to count heartbeats, a 10-second timer unit, and a display unit. Testing on 10 respondents found the device had an average error rate of 3.94% compared to a commercial oxymeter. The results demonstrate the feasibility of using an FPGA-based design with an optical sensor for basic heart rate monitoring.
-1348064572-13. electronics - ijeceierd - design and - sapna katiyar - unpaid
This document describes the design and development of a low-cost microcontroller-based ECG system for real-time analysis. The system acquires analog ECG signals in digitized form using a microcontroller and MATLAB. The ECG signal is captured using electrodes, amplified, filtered, and digitized. It is then transmitted to a PC via a microcontroller and serial communication for storage, display, and analysis in MATLAB. Hardware and software implementations are discussed. Results show the filtered ECG signal, heart rate display, and ECG plotted in MATLAB.
Vivek_Presentation1.pptx
This project involves developing an IoT-based healthcare monitoring system for ICU patients. Key components include sensors to measure vital signs like temperature, heart rate, blood pressure, and load; an HX711 ADC converter; a NodeMCU microcontroller; an LCD display; and a buzzer. The sensors will transmit data to a cloud platform like ThingSpeak via the NodeMCU. Literature on similar projects was reviewed, highlighting accuracy and transmission speeds. A block diagram and specifications for each component are provided. The team will use Arduino IDE and Proteus simulation software. An action plan outlines tasks from topic selection to hardware demonstration by March 2023. Individual contributions will be assigned. This system aims to remotely monitor patients'
A Review of Physiological Parameters Monitoring Systems
This document reviews various existing physiological parameter monitoring systems. It discusses systems that monitor parameters such as temperature, heart rate, blood pressure, blood oxygen saturation, ECG, and respiratory rate using wearable, contact-free, and contact-less devices. The technologies used include sensors, microcontrollers, wireless transmission protocols like Bluetooth and Zigbee, and machine learning techniques like neural networks. The review covers systems that transmit data to remote monitoring stations and notify doctors if parameters exceed thresholds. Overall, the document examines different approaches to physiological monitoring and sensing vital signs.
healthcare supervising system to monitor heart rate to diagonize and alert he...
healthcare supervising system to monitor heart rate to diagonize and alert he...IJET - International Journal of Engineering and Techniques
These days we have an increased number of heart diseases including increased risk of heart attacks. Our proposed system users sensors that allow to detect heart rate of a person using heartbeat sensing even if the person is at home. The sensor is then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet. The user may set the high as well as low levels of heart beat limit. After setting these limits, the system starts monitoring and as soon as patient heart beat goes above a certain limit, the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeats. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus concerned ones may monitor heart rate as well get an alert of heart attack to the patient immediately from anywhere and the person can be saved on time.This value will continue to grow if no proper solution is found. Internet of Things (IoT) technology developments allows humans to control a variety of high-tech equipment in our daily lives. One of these is the ease of checking health using gadgets, either a phone, tablet or laptop. we mainly focused on the safety measures for both driver and vehicle by using three types of sensors: Heartbeat sensor, Traffic light sensor and Level sensor. Heartbeat sensor is used to monitor heartbeat rate of the driver constantly and prevents from the accidents by controlling through IOT.Similar to Presentazione finale (20)
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
IRJET- Heart Attack Detection by Heartbeat Sensing using Internet of thin...
IRJET- Heart Attack Detection by Heartbeat Sensing using Internet of thin...
Design and implementation of portable electrocardiogram recorder with field ...
Design and implementation of portable electrocardiogram recorder with field ...
IRJET- Design and Implementation of Low Cost Ecg Monitoring System using Smar...
IRJET- Design and Implementation of Low Cost Ecg Monitoring System using Smar...
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Angina Pectoris Predicting System using Embedded Systems and Big Data
Angina Pectoris Predicting System using Embedded Systems and Big Data
-1348064572-13. electronics - ijeceierd - design and - sapna katiyar - unpaid
-1348064572-13. electronics - ijeceierd - design and - sapna katiyar - unpaid
A Review of Physiological Parameters Monitoring Systems
A Review of Physiological Parameters Monitoring Systems
healthcare supervising system to monitor heart rate to diagonize and alert he...
healthcare supervising system to monitor heart rate to diagonize and alert he...
Recently uploaded
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Recently uploaded (20)
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
gray level transformation unit 3(image processing))
gray level transformation unit 3(image processing))
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
Presentazione finale
- 1. Smart ECG Andrea Lisanti Dario Litardi David Buscema
- 2. Smart ECG The idea A system to detect fibrillations in athletes using a heartbeat sensor, like a heart rate monitor. The athletes is notified if he is affected by atrial fibrillation. 2
- 3. Smart ECG 3 What is a heart rate monitor? A heart rate monitor is an electronic device capable of measuring the heartbeat and, from this, determining the heart rate in real time during a training. It measures alarm threshold for the aerobic zones on the basis of data on the physiology of the user.
- 4. Smart ECG The components 4 5 1. STM32 Nucleo F401RE board 2. Pulse sensor 3. Bluetooth module X-NUCLEO-IDB05A1 4. Arduino IDE to programming the board 5. Android application 321 4
- 6. Smart ECG 1. The STM32 Nucleo board detects the heartbeats through the pulse sensor. The data are pre-processed and then submitted to the machine learning algorithm 2. In case of atrial fibrillation, a notification is sent to the mobile app via the Bluetooth board. Otherwise the device only sends to the smartphone the heart beats. 6 How does SmartECG work?
- 7. Smart ECG How to identify a heartbeat? Based on: ● Threshold ● Time Every heartbeat is defined as the time between the current heartbeat and the previous one 7
- 8. Smart ECG Heartbeat pre-processing The heartbeats are pre-processed by obtaining five values that will be submitted to the machine learning algorithm: 1. The average of the last three beats 2. The last beat 3. The second to last beat 4. The third to last beat 5. The average of the last ten beats 8 Mar, T., Zaunseder, S., Martínez, J. P., Llamedo, M., & Poll, R. (August 01, 2011). Optimization of ECG Classification by Means of Feature Selection. Ieee Transactions on Biomedical Engineering, 58, 8, 2168-2177.
- 9. Smart ECG Bluetooth communication ● Service, with universally unique identifier (UUID), exposes heartbeats data to nearby devices ○ Every service defines or more characteristic ● Characteristic, with another UUID, implemented as a notification system. Sends pre-processed heartbeats to the Android application 9
- 10. Smart ECG Machine learning Algorithm The Machine Learning algorithm used is K-nearest neighbor (KNN). The algorithm was implemented in Java by Amazon Software Engineer Li Gong. The algorithm was later slightly modified by us to be adapted to this project. 10 www.linkedin.com/in/gonglited github.com/wihoho/KNN
- 11. Smart ECG K-nearest neighbor (KNN) Algorithm The KNN algorithm itself is fairly straightforward following these steps: 1. Choose the number of k and a distance metric. 2. Find the k nearest neighbors of the sample that we want to classify. 3. Assign the class label by majority vote The class label of the new data point is then determined by a majority vote among its k nearest neighbors. 11 Raschka, S. (2015). Python machine learning. Birmingham: Packt.
- 12. Smart ECG Example of pre-processing Dataset 12 Dataset obtained from real values. Over 3000 instances, already pre-processed
- 13. Smart ECG Result of KNN 13 The accuracy of prediction is always about 94%-97% In this example it is 97.463768%
- 14. Smart ECG SmartECG App 14 Initial Screen Bluetooth Connection
- 15. Smart ECG SmartECG Home Screen 15 Shows Beats Per Minute (BPM) and in case of fibrillation shows a notification
- 16. Smart ECG SmartECG App 16 Navigation Drawer User Profile
- 17. Smart ECG Links ● Github repository at https://github.com/dariolitardi/smartecgrepo ● http://www.st.com/en/evaluation-tools/nucleo-f401re.html ● http://www.st.com/en/ecosystems/x-nucleo-idb04a1.html ● https://pulsesensor.com/ 17 Contacts Andrea Lisanti at linkedin.com/in/andrea-lisanti Dario Litardi at linkedin.com/in/dario-litardi-84851915b/ David Buscema at linkedin.com/in/david-buscema
- 18. Thank you for your attention