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IOT based Healthcare Monitoring
System for ICU patient
1. Literature Survey
 [1] Narasimha Rao Jasti Madhu (2010): The author researched the “IoT based Remote
Patient Health Monitoring System” and the conclusion is that The developed system
modules can be refined and manufactured as a single circuit. The fact that all of the
circuit components utilized in the remote health detection system are readily available
was also discovered during project design. Micro Electro Mechanical Systems (MEMs) and
microcontrollers have grown more inexpensive, smaller, and power-efficient thanks to
advancements in the integrated circuit industry. As a result, more embedded
technologies are being developed and adopted by healthcare professionals. Smartphone
technology has also incorporated these integrated systems. With rising internet
penetration through mobile phones in most emerging nations, the Internet of Things (IoT)
will be embraced at a quicker rate. The Remote Health Care system incorporates these
ideas to create a system that improves people's quality of life.
 [2] Usha Rani et al (2017): These authors' research regarding the“IoT Patient Health
Monitoring System” and conclusion are given that, The reading of the patient's different
essential indicators, followed by an evaluation at cloud, and then a warning to the doctor
or concerned persons about the patient's health status. It keeps track of vital indicators
and detects any irregularities. These irregularities inform medical personnel, reducing
the need for manual monitoring. The data is sent to the cloud platform using the MQTT
connection. This communication protocol sends the readings of crucial patients' vital
senses to a web interface, which then visually displays the data.
 [3] LIM SHENG KEONG (2017): The author studied “IoTHealthcare Monitoring System
With Capability To Detect Ecg, Blood Pressure And Temperature” and the conclusion
are given that, The average accuracy for each sensor in measuring the health
parameter is 99.21% for temperature measurement, 99.26% for pulse rate
measurement, 99.17% for Systolic pressure and 98.72% for diastolic pressure. The
measured data are transmitted to the IBM Bluemix Cloud platform with 1.53
milliseconds per sample of data. The DE1-SoC platform uses the onboard RJ45 port to
connect to the Internet. A local web page is developed to allow the user to view the
results from the measurement and finally perform the disease prediction. The IoT
function of the proposed system can function once it is connected to Ethernet with an
Internet connection. The IoT framework on the Internet is developed using the IBM
Bluemix Cloud platform with API and Cloud supported by IBM. The results are stored in
cloud storage according to the type of health parameter. These previous parameters
will be remained inside the cloud and as a reference for doctors and users to know the
current health trend. The stored health parameters are available to doctors and users
through the web page developed on IBM Bluemix. The comment feature from the
doctor has been successfully stored in the cloud and displayed on the web page once
patients choose to view it.
 [4] Banka et al (2018): These authors research his work regarding the “Smart Healthcare
Monitoring using IoT” and conclusion are given that, exhibited a prototype for an
autonomous system that enables continuous monitoring of multiple health indicators as
well as the prediction of any disease or issue, sparing the patient the agony of repeated
hospital visits The proposed method might be utilized in hospitals to collect and store
massive volumes of data in an online database. An application can also be used to get the
findings from a mobile device. The technology might be enhanced further by including
artificial intelligence components to assist clinicians and patients. Data mining may be
used to seek regular patterns and systematic relationships in disease, including the
medical history of many patients' parameters and their associated outcomes. For
example, if a patient's health parameters change in the same way as those of a previous
patient in the database, the consequences might be predicted. If similar patterns are
detected again, it will be simpler for doctors and medical researchers to devise a remedy.

 [5] Sathya et al (2018): These authors research theirwork regarding the “Internet of
things (IoT) based health monitoring system and challenges” and conclusion are given
that, The importance and advantages of incorporating IoT into remote health monitoring
systems. The Internet of Things-enabled little sensors will have a big impact on every
patient's life, allowing them to reduce their fear of danger even while they are away from
home and their doctor. Sensory data might be gathered at home or work. The challenges
of sickness sensing, analytics, and prediction are also explored, as well as how they might
be solved to allow a seamless integration into the medical business.
2. Block Diagram
3. Final Specifications of project
 1. Load cell A load cell is a force sensing module - a carefully designed metal
structure, with small elements called strain gauges mounted in precise locations on
the structure. Load cells are designed to measure a specific force, and ignore other
forces being applied. The electrical signal output by the load cell is very small and
requires specialized amplification.
 2. HX711 Based on Avia Semiconductor’s patented technology, HX711 is a precision
24-bit analog to-digital converter (ADC) designed for weigh scales and industrial
control applications to interface directly with a bridge sensor.
•Operation Voltage: 2.7V--5V
•Operation Current: < 1.5mA
•Selectable 10SPS or 80SPS output data rate
•Simultaneous 50 and 60Hz supply rejection
 3. The LM35 series are precision integrated-circuit temperature devices with an
output voltage linearly proportional to the Centigrade temperature. The LM35
device has an advantage over linear temperature sensors calibrated in Kelvin, as
the user is not required to subtract a large constant voltage from the output to
obtain convenient Centigrade scaling.
 4. The Pulse Sensor is a well-designed low-power plug-and-play heart-rate sensor
for the Arduino. It can be used by students, artists, athletes, manufacturers, and
game & mobile developers who want to incorporate live heart-rate data into their
projects.
• Power supply 4V to 30V
• Current draw 60µA
• Temperature range −55°C to +155°C
• Accuracy ±0.5°C
• Output scale factor 10mV/°C
• Output at 25°C 250mV
• This is a hear beat detecting and biometric pulse rate sensor
• Its diameter is 0.625
• Its thickness is 0.125
• The operating voltage is ranges +5V otherwise +3.3V
• This is a plug and play type sensor
• The current utilization is 4mA
• Includes the circuits like Amplification & Noise cancellation
 Arduino UNO is a microcontroller board based on the ATmega328P. It has 14 digital
input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz
ceramic resonator, a USB connection, a power jack, an ICSP header and a reset
button. It contains everything needed to support the microcontroller; simply connect
it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to
get started. The Arduino UNO is the best board to get started with electronics and
coding. If this is your first experience tinkering with the platform, the UNO is the most
robust board you can start playing with. The UNO is the most used and documented
board of the whole Arduino family.
• Microcontroller: ATmega328
• Operating Voltage: 5V
• Input Voltage (recommended): 7-12V
• Input Voltage (limits): 6-20V
• Digital I/O Pins: 14 (of which 6 provide PWM output)
• Analog Input Pins: 6
• DC Current per I/O Pin: 40 mA
• DC Current for 3.3V Pin: 50 mA
• Flash Memory: 32 KB of which 0.5 KB used by bootloader
• SRAM: 2 KB (ATmega328)
• EEPROM: 1 KB (ATmega328)
• Clock Speed: 16 MHz
 Accelerometer ADXL335 is an electromechanical device that measures the force
of acceleration due to gravity in g unit. It can be used in applications requiring
tilt sensing. The ADXL335 measures acceleration along X, Y and Z axes and gives
analog voltage output proportional to the acceleration along these 3 axes.
Microcontrollers can process these voltages by converting them to digital signals
using ADC
 LCD 16x2
LCDs (Liquid Crystal Displays) are used in embedded system applications for displaying
various parameters and status of the system.
LCD 16x2 is a 16-pin device that has 2 rows that can accommodate 16 characters each.
LCD 16x2 can be used in 4-bit mode or 8-bit mode.
It is also possible to create custom characters.
It has 8 data lines and 3 control lines that can be used for control purposes.
3-axis sensing.
Small, low profile package.
4 mm × 4 mm × 1.45 mm LFCSP.
Low power : 350 μA (typical).
Single-supply operation: 1.8 V to 3.6 V.
10,000 g shock survival.
Excellent temperature stability.
BW adjustment with a single capacitor per axis.
RoHS/WEEE lead-free compliant.
 NodeMCU :NodeMCU is an open source IoT platform. It includes firmware which
runs on the ESP8266 Wi-Fi SoC from Espressif Systems, and hardware which is
based on the ESP-12 module. The term "NodeMCU" by default refers to the
firmware rather than the development kits. The firmware uses the Lua scripting
language.
 The features of this LCD mainly include the following.
•The operating voltage of this LCD is 4.7V-5.3V
•It includes two rows where each row can produce 16-characters.
•The utilization of current is 1mA with no backlight
•Every character can be built with a 5×8 pixel box
•The alphanumeric LCDs alphabets & numbers
•Is display can work on two modes like 4-bit & 8-bit
•These are obtainable in Blue & Green Backlight
•It displays a few custom generated characters
•Microcontroller: Tensilica 32-bit RISC CPU Xtensa LX106.
•Operating Voltage: 3.3V.
•Input Voltage: 7-12V.
•Digital I/O Pins (DIO): 16.
•Analog Input Pins (ADC): 1.
•UARTs: 1.
•SPIs: 1.
•I2Cs: 1.
 Piezoelectric Buzzer: Piezoelectric Sounders / Buzzers are sound components
prepared by incorporating a piezoelectric vibration plate in a plastic case
(resonator). ... Piezoelectric buzzers are sound components which generate a
monotone using a built-in oscillation circuit.
 ThingSpeak is an IoT analytics platform service that allows you to aggregate,
visualize, and analyze live data streams in the cloud. You can send data to
ThingSpeak™ from your devices, create instant visualizations of live data, and
send alerts using web services like Twitter® and Twilio®. With MATLAB® analytics
inside ThingSpeak, you can write and execute MATLAB code to perform
preprocessing, visualizations, and analyses. ThingSpeak enables engineers and
scientists to prototype and build IoT systems without setting up servers or
developing web software.
1.Product Name:3.3 to 5V Active Buzzer Alarm Module Sensor
2.Transistor drive module uses 8550
3. With fixed bolt hole- easy installation- 2.6mm aperture.
4. Operating voltage 3.3V-5V
5. PCB Dimensions: 34.28 mm (L) * 13.29 mm (W) * 11.5 mm
(H)
4. Hardware and software simulation tools to
be used for implementation
 Arduino IDE: The open-source Arduino Software (IDE) makes it easy to write code
and upload it to the board. This software can be used with any Arduino board.
 MC Programming Language: C - MC language is a low-level code interpreted and
converted from high-level source code and understood only by the machine.
Machine code is transported to the system processor when a specific task,
application or program executes even the smallest process. Machine code is also
known as machine language (ML)
 ThingSpeak Web platform: ThingSpeak is an open-source software written in Ruby
which allows users to communicate with internet enabled devices. It facilitates
data access, retrieval and logging of data by providing an API to both the devices
and social network websites
 Proteus Simulation Software: The Proteus Design Suite is a proprietary software
tool suite used primarily for electronic design automation. The software is used
mainly by electronic design engineers and technicians to create schematics and
electronic prints for manufacturing printed circuit boards.
5.Component selection and final component
selected for project work.
Hardware Specifications
 Heartbeat Sensor
 Temperature Sensor
 Pule heart beat sensor
 Load cell
 HX711 ADC Converter
 Wi-Fi Module- Node MCU-ESP8266
 LCD Display
 Buzzer
 LED’s
 PCB and connecting wires
ADVANTAGES OF THIS PROJECT
 IOT Monitoring proves really helpful when we need to monitor & record and keep
track of changes in the health parameters of the patient over the period of
time. So with the IOT health monitoring, we can have the database of these
changes in the health parameters. Doctors can take the reference of these
changes or the history of the patient while suggesting the treatment or the
medicines to the patient.
 Hospital stays are minimized due to Remote Patient Monitoring. Hospital visits
for normal routine checkups are minimized.
 Patient health parameter data is stored over the cloud. So it is more beneficial
than maintaining the records on printed papers kept in the files. Or even the
digital records which are kept in a particular computer or laptop or memory
device like pen- drive. Because there are chances that these devices can get
corrupt and data might be lost. Whereas, in case of IOT, the cloud storage is
more reliable and does have minimal chances of data loss.
6. Action plan for completing the project by
March 2023
Sr.
no.
Month Task
1 September 2022 Topic selection, reference papers, review 1
2 October 2022 Synopsis, PPT1, Review 2
3 November 2022 Hardware collect, simulation in parts
4 December 2022 Modular Coding start, review, PPT2
5 January 2023 Integrations of hardware and code, testing
6 February 2023 Checking Final results and output
7 March 2023 Hardware demo with Submission Report
7. Contribution of each student in the project
Sr. No. Student Name Contribution
1
2
3
4
THANK YOU

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Vivek_Presentation1.pptx

  • 1. IOT based Healthcare Monitoring System for ICU patient
  • 2. 1. Literature Survey  [1] Narasimha Rao Jasti Madhu (2010): The author researched the “IoT based Remote Patient Health Monitoring System” and the conclusion is that The developed system modules can be refined and manufactured as a single circuit. The fact that all of the circuit components utilized in the remote health detection system are readily available was also discovered during project design. Micro Electro Mechanical Systems (MEMs) and microcontrollers have grown more inexpensive, smaller, and power-efficient thanks to advancements in the integrated circuit industry. As a result, more embedded technologies are being developed and adopted by healthcare professionals. Smartphone technology has also incorporated these integrated systems. With rising internet penetration through mobile phones in most emerging nations, the Internet of Things (IoT) will be embraced at a quicker rate. The Remote Health Care system incorporates these ideas to create a system that improves people's quality of life.  [2] Usha Rani et al (2017): These authors' research regarding the“IoT Patient Health Monitoring System” and conclusion are given that, The reading of the patient's different essential indicators, followed by an evaluation at cloud, and then a warning to the doctor or concerned persons about the patient's health status. It keeps track of vital indicators and detects any irregularities. These irregularities inform medical personnel, reducing the need for manual monitoring. The data is sent to the cloud platform using the MQTT connection. This communication protocol sends the readings of crucial patients' vital senses to a web interface, which then visually displays the data.
  • 3.  [3] LIM SHENG KEONG (2017): The author studied “IoTHealthcare Monitoring System With Capability To Detect Ecg, Blood Pressure And Temperature” and the conclusion are given that, The average accuracy for each sensor in measuring the health parameter is 99.21% for temperature measurement, 99.26% for pulse rate measurement, 99.17% for Systolic pressure and 98.72% for diastolic pressure. The measured data are transmitted to the IBM Bluemix Cloud platform with 1.53 milliseconds per sample of data. The DE1-SoC platform uses the onboard RJ45 port to connect to the Internet. A local web page is developed to allow the user to view the results from the measurement and finally perform the disease prediction. The IoT function of the proposed system can function once it is connected to Ethernet with an Internet connection. The IoT framework on the Internet is developed using the IBM Bluemix Cloud platform with API and Cloud supported by IBM. The results are stored in cloud storage according to the type of health parameter. These previous parameters will be remained inside the cloud and as a reference for doctors and users to know the current health trend. The stored health parameters are available to doctors and users through the web page developed on IBM Bluemix. The comment feature from the doctor has been successfully stored in the cloud and displayed on the web page once patients choose to view it.
  • 4.  [4] Banka et al (2018): These authors research his work regarding the “Smart Healthcare Monitoring using IoT” and conclusion are given that, exhibited a prototype for an autonomous system that enables continuous monitoring of multiple health indicators as well as the prediction of any disease or issue, sparing the patient the agony of repeated hospital visits The proposed method might be utilized in hospitals to collect and store massive volumes of data in an online database. An application can also be used to get the findings from a mobile device. The technology might be enhanced further by including artificial intelligence components to assist clinicians and patients. Data mining may be used to seek regular patterns and systematic relationships in disease, including the medical history of many patients' parameters and their associated outcomes. For example, if a patient's health parameters change in the same way as those of a previous patient in the database, the consequences might be predicted. If similar patterns are detected again, it will be simpler for doctors and medical researchers to devise a remedy.   [5] Sathya et al (2018): These authors research theirwork regarding the “Internet of things (IoT) based health monitoring system and challenges” and conclusion are given that, The importance and advantages of incorporating IoT into remote health monitoring systems. The Internet of Things-enabled little sensors will have a big impact on every patient's life, allowing them to reduce their fear of danger even while they are away from home and their doctor. Sensory data might be gathered at home or work. The challenges of sickness sensing, analytics, and prediction are also explored, as well as how they might be solved to allow a seamless integration into the medical business.
  • 6. 3. Final Specifications of project  1. Load cell A load cell is a force sensing module - a carefully designed metal structure, with small elements called strain gauges mounted in precise locations on the structure. Load cells are designed to measure a specific force, and ignore other forces being applied. The electrical signal output by the load cell is very small and requires specialized amplification.  2. HX711 Based on Avia Semiconductor’s patented technology, HX711 is a precision 24-bit analog to-digital converter (ADC) designed for weigh scales and industrial control applications to interface directly with a bridge sensor. •Operation Voltage: 2.7V--5V •Operation Current: < 1.5mA •Selectable 10SPS or 80SPS output data rate •Simultaneous 50 and 60Hz supply rejection
  • 7.  3. The LM35 series are precision integrated-circuit temperature devices with an output voltage linearly proportional to the Centigrade temperature. The LM35 device has an advantage over linear temperature sensors calibrated in Kelvin, as the user is not required to subtract a large constant voltage from the output to obtain convenient Centigrade scaling.  4. The Pulse Sensor is a well-designed low-power plug-and-play heart-rate sensor for the Arduino. It can be used by students, artists, athletes, manufacturers, and game & mobile developers who want to incorporate live heart-rate data into their projects. • Power supply 4V to 30V • Current draw 60µA • Temperature range −55°C to +155°C • Accuracy ±0.5°C • Output scale factor 10mV/°C • Output at 25°C 250mV • This is a hear beat detecting and biometric pulse rate sensor • Its diameter is 0.625 • Its thickness is 0.125 • The operating voltage is ranges +5V otherwise +3.3V • This is a plug and play type sensor • The current utilization is 4mA • Includes the circuits like Amplification & Noise cancellation
  • 8.  Arduino UNO is a microcontroller board based on the ATmega328P. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. The Arduino UNO is the best board to get started with electronics and coding. If this is your first experience tinkering with the platform, the UNO is the most robust board you can start playing with. The UNO is the most used and documented board of the whole Arduino family. • Microcontroller: ATmega328 • Operating Voltage: 5V • Input Voltage (recommended): 7-12V • Input Voltage (limits): 6-20V • Digital I/O Pins: 14 (of which 6 provide PWM output) • Analog Input Pins: 6 • DC Current per I/O Pin: 40 mA • DC Current for 3.3V Pin: 50 mA • Flash Memory: 32 KB of which 0.5 KB used by bootloader • SRAM: 2 KB (ATmega328) • EEPROM: 1 KB (ATmega328) • Clock Speed: 16 MHz
  • 9.  Accelerometer ADXL335 is an electromechanical device that measures the force of acceleration due to gravity in g unit. It can be used in applications requiring tilt sensing. The ADXL335 measures acceleration along X, Y and Z axes and gives analog voltage output proportional to the acceleration along these 3 axes. Microcontrollers can process these voltages by converting them to digital signals using ADC  LCD 16x2 LCDs (Liquid Crystal Displays) are used in embedded system applications for displaying various parameters and status of the system. LCD 16x2 is a 16-pin device that has 2 rows that can accommodate 16 characters each. LCD 16x2 can be used in 4-bit mode or 8-bit mode. It is also possible to create custom characters. It has 8 data lines and 3 control lines that can be used for control purposes. 3-axis sensing. Small, low profile package. 4 mm × 4 mm × 1.45 mm LFCSP. Low power : 350 μA (typical). Single-supply operation: 1.8 V to 3.6 V. 10,000 g shock survival. Excellent temperature stability. BW adjustment with a single capacitor per axis. RoHS/WEEE lead-free compliant.
  • 10.  NodeMCU :NodeMCU is an open source IoT platform. It includes firmware which runs on the ESP8266 Wi-Fi SoC from Espressif Systems, and hardware which is based on the ESP-12 module. The term "NodeMCU" by default refers to the firmware rather than the development kits. The firmware uses the Lua scripting language.  The features of this LCD mainly include the following. •The operating voltage of this LCD is 4.7V-5.3V •It includes two rows where each row can produce 16-characters. •The utilization of current is 1mA with no backlight •Every character can be built with a 5×8 pixel box •The alphanumeric LCDs alphabets & numbers •Is display can work on two modes like 4-bit & 8-bit •These are obtainable in Blue & Green Backlight •It displays a few custom generated characters •Microcontroller: Tensilica 32-bit RISC CPU Xtensa LX106. •Operating Voltage: 3.3V. •Input Voltage: 7-12V. •Digital I/O Pins (DIO): 16. •Analog Input Pins (ADC): 1. •UARTs: 1. •SPIs: 1. •I2Cs: 1.
  • 11.  Piezoelectric Buzzer: Piezoelectric Sounders / Buzzers are sound components prepared by incorporating a piezoelectric vibration plate in a plastic case (resonator). ... Piezoelectric buzzers are sound components which generate a monotone using a built-in oscillation circuit.  ThingSpeak is an IoT analytics platform service that allows you to aggregate, visualize, and analyze live data streams in the cloud. You can send data to ThingSpeak™ from your devices, create instant visualizations of live data, and send alerts using web services like Twitter® and Twilio®. With MATLAB® analytics inside ThingSpeak, you can write and execute MATLAB code to perform preprocessing, visualizations, and analyses. ThingSpeak enables engineers and scientists to prototype and build IoT systems without setting up servers or developing web software. 1.Product Name:3.3 to 5V Active Buzzer Alarm Module Sensor 2.Transistor drive module uses 8550 3. With fixed bolt hole- easy installation- 2.6mm aperture. 4. Operating voltage 3.3V-5V 5. PCB Dimensions: 34.28 mm (L) * 13.29 mm (W) * 11.5 mm (H)
  • 12. 4. Hardware and software simulation tools to be used for implementation  Arduino IDE: The open-source Arduino Software (IDE) makes it easy to write code and upload it to the board. This software can be used with any Arduino board.  MC Programming Language: C - MC language is a low-level code interpreted and converted from high-level source code and understood only by the machine. Machine code is transported to the system processor when a specific task, application or program executes even the smallest process. Machine code is also known as machine language (ML)  ThingSpeak Web platform: ThingSpeak is an open-source software written in Ruby which allows users to communicate with internet enabled devices. It facilitates data access, retrieval and logging of data by providing an API to both the devices and social network websites  Proteus Simulation Software: The Proteus Design Suite is a proprietary software tool suite used primarily for electronic design automation. The software is used mainly by electronic design engineers and technicians to create schematics and electronic prints for manufacturing printed circuit boards.
  • 13. 5.Component selection and final component selected for project work. Hardware Specifications  Heartbeat Sensor  Temperature Sensor  Pule heart beat sensor  Load cell  HX711 ADC Converter  Wi-Fi Module- Node MCU-ESP8266  LCD Display  Buzzer  LED’s  PCB and connecting wires
  • 14. ADVANTAGES OF THIS PROJECT  IOT Monitoring proves really helpful when we need to monitor & record and keep track of changes in the health parameters of the patient over the period of time. So with the IOT health monitoring, we can have the database of these changes in the health parameters. Doctors can take the reference of these changes or the history of the patient while suggesting the treatment or the medicines to the patient.  Hospital stays are minimized due to Remote Patient Monitoring. Hospital visits for normal routine checkups are minimized.  Patient health parameter data is stored over the cloud. So it is more beneficial than maintaining the records on printed papers kept in the files. Or even the digital records which are kept in a particular computer or laptop or memory device like pen- drive. Because there are chances that these devices can get corrupt and data might be lost. Whereas, in case of IOT, the cloud storage is more reliable and does have minimal chances of data loss.
  • 15. 6. Action plan for completing the project by March 2023 Sr. no. Month Task 1 September 2022 Topic selection, reference papers, review 1 2 October 2022 Synopsis, PPT1, Review 2 3 November 2022 Hardware collect, simulation in parts 4 December 2022 Modular Coding start, review, PPT2 5 January 2023 Integrations of hardware and code, testing 6 February 2023 Checking Final results and output 7 March 2023 Hardware demo with Submission Report
  • 16. 7. Contribution of each student in the project Sr. No. Student Name Contribution 1 2 3 4