This document discusses wearable biosensors and two examples: a ring sensor and smart shirt. It defines a biosensor as a device combining a biological and physiochemical component to detect analytes. The ring sensor monitors physiological signals like pulse oximetry through LEDs and photodiodes on a finger. The smart shirt embeds similar sensors into clothing to continuously monitor vital signs remotely for patients or athletes. Wearable biosensors allow non-obtrusive monitoring but have limitations like initial cost and number of detectable parameters.
A Low Power Wearable Physiological Parameter Monitoring Systemijsrd.com
The design and development of a low power wearable physiological parameter monitoring system have been developing and reporting in this paper. The system can be used to monitor physiological parameters, such as ECG signals, temperature and heartbeat. The system consists of an electronic device which is worn on the wrist and finger, by an at-risk person. Using several sensors to measure different vital signs, the person is wirelessly monitored within his own home. An epic sensor has been used to detect ECG signals. The device is battery powered for use outdoors. The device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness. A prototype of the device has been fabricated and extensively tested with very good results.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Smartphone based wearable sensors for cyborgs using neural network enginedayanabenny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
Smartphone based wearable sensors for cyborgs using neural network engineDayana Benny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
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.
These are the devices that can be wear by human beings so that they provide information about their health, pulse rating, blood circulation and so many. They are widely used in medical field, defence and other fields.
This presentation outlines some of the most exciting medical MEMS and sensors devices that were introduced to the marketplace in the past few years. Some of the devices are already in volume production, and some are still being commercialized.
IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
To deal with various technologies which provide smart sensing in healthcare and compare them for their energy usage and battery life and discuss the format of communication to the database of these devices. To put forward devices which use smart sensors in advanced medical check-ups. To discuss the prospects of upcoming technology called Smart Dust in e-health and its advantages and effects for better deployment of trustworthy services in healthcare keeping in mind all the capabilities of the Smart Sensor.
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A Low Power Wearable Physiological Parameter Monitoring Systemijsrd.com
The design and development of a low power wearable physiological parameter monitoring system have been developing and reporting in this paper. The system can be used to monitor physiological parameters, such as ECG signals, temperature and heartbeat. The system consists of an electronic device which is worn on the wrist and finger, by an at-risk person. Using several sensors to measure different vital signs, the person is wirelessly monitored within his own home. An epic sensor has been used to detect ECG signals. The device is battery powered for use outdoors. The device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness. A prototype of the device has been fabricated and extensively tested with very good results.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Smartphone based wearable sensors for cyborgs using neural network enginedayanabenny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
Smartphone based wearable sensors for cyborgs using neural network engineDayana Benny
Now we can imagine a situation where human beings wear electronic skin as touch sensors for health monitoring system. There is a recent advancement in developing a system that uses wireless sensors placed on body and collected sensor information are dealt with smart phone applications. This application uses cloud computing, location data and a neural network engine to determine the current state of a patient is dangerous or not. Electronic skin modules mount spatially on human beings. The neural network engine fuses the information from multiple sensors.
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.
These are the devices that can be wear by human beings so that they provide information about their health, pulse rating, blood circulation and so many. They are widely used in medical field, defence and other fields.
This presentation outlines some of the most exciting medical MEMS and sensors devices that were introduced to the marketplace in the past few years. Some of the devices are already in volume production, and some are still being commercialized.
IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
To deal with various technologies which provide smart sensing in healthcare and compare them for their energy usage and battery life and discuss the format of communication to the database of these devices. To put forward devices which use smart sensors in advanced medical check-ups. To discuss the prospects of upcoming technology called Smart Dust in e-health and its advantages and effects for better deployment of trustworthy services in healthcare keeping in mind all the capabilities of the Smart Sensor.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
2. Need of wearable biosensors
Introduction
What is a biosensor ?
Properties of biosensor
Wearable biosensors: -
1. Ring sensor
2. Smart shirt
Conclusion
References
3. remote monitoring of patients.
training support for athelete.
monitoring of individuals who work with
hazardous elements.
tracking of professional truck driver’s vital
signs to alert them of fatigue.
4. Use of wearable monitoring devices allow
continuous monitoring of physiological signals.
Wearable systems are totally non-obtrusive
devices that allow physicians to overcome the
limitations of ambulatory technology.
detects events predictive of possible worsening of
the patient’s clinical situations.
5. A biosensor is a device for the
detection of an analyte that
combines a biological component
with a physio-chemical detector
component.
8. Fig 1. photograph of ring
sensor,size of the top
board is 0.8 x 0.8 inch.
Fig 2. ring sensor weared
on a finger.
works on the principle of plethysmogram and pulse
oximetry.
9. LED’s and Photodiodes.
First stage amplifier.
Sample and Hold circuit.
Signal Conditioner.
CPU.
RF Transmitter.
Software for the microprocessor on the ring.
Software for the host computer.
LED’S and
photodiodes.
Micro
processor(inside)
Battery
Transmitter
10.
11.
12. Continous monitoring.
Easy to use.
Reducing hospitalization fee.
Initial cost is high.
Limited number of physiological parameters can
be monitored.
16. Easy to wear and take off.
Continous monitoring.
Initial cost is high.
Battery life is less.
17. Smart shirt technology opens up existing opportunities to
develop adaptive & responsive systems that can think &
act based on the user conditions stimuli & environment.
Certain individuals are susceptible to anaphylaxis reaction
(an allergic reaction) when stung by a bee or spider and need
a shot of adrenaline immediately to prevent further fatalities.
by applying advancements in MEMS(Micro-Electrochemical
systems) technology we can achieve that.
The Smarts shirt’s delta acquisition capabilities can be used to
detect the condition when an individual is lapsing into a diabetic
shock and this integrated feedback mechanism can provide the
appropriate response to prevent a fatality.
18. Just as special-purpose chips and processors can be
plugged into a computer motherboard to obtain the
the required information processing capability, the smart
shirt is an information infrastructure in which the wearer
can “plug in” the desired sensors and devices, thereby
creating a system for monitoring vital signs in an efficient
and cost effective manner with a “universal” interface of
clothing.
Just as the spreadsheet pioneered the field of information
processing that brought “computing to the masses”.It is
anticipated that the smart shirt will bring personalized &
affordable healthcare monitoring to the population at
large.
19. Park and Jayaraman,”Enhancing the quality of life
through wearable technology”,vol. 22, June-03
R.Neumann,”Biomedical Sensors” ,handbook of
biomedical instrumentation,page. 725-755
http://www.sensatex.com/smartshirt.html
http://en.wikipedia.org/wiki/Biosensor