Patient Health Monitoring System
Introduction
Nowadays, the health care sensors are playing an essential role in hospitals. The patient health monitoring system is one of the major developments because of its innovative technology.
An automatic health monitoring system is used to measure patient's
body temperature Humidity, Position and the Heartrate using IOT.
The proposed system uses many sensors like Heart rate sensor or pulse sensor for pulse rate , Humidity sensor for measuring humidity, body temperature sensor for measuring body temperature and Accelerometer for measuring Position.
Patient Health Monitoring System using ESP8266 & Arduino:
With new healthcare technology start-ups, IoT is rapidly revolutionizing the healthcare industry. In this project, we have designed IoT based patient health monitoring system using ESP8266 and Arduino.
The IoT platform used in this project is Radar IOT. Radar IOT is an open-source Internet of Things (IoT) application and API to store and retrieve data from things using the HTTP protocol over the Internet or through a local area network.
This IoT device can read the pulse rate and measure the temperature of the surroundings. It continuously monitors the pulse rate and surrounding temperature and updates them on the IoT platform.
The Arduino Sketch running on the device implements the project's various functionalities such as reading sensor data, converting them into strings, sending them to the IoT platform, and displaying the measured pulse rate and temperature on a character LCD
BLOCK DIAGRAM
REQUIRED COMPONENTS
S.N COMPONENTS NAME DISCRIPTION
1. ESP8266-01 ESP8266 Wifi Module
2. OLCD Display OLED Display
3. Potentiometer 10K
4. Pulse Sensor Pulse Sensor
5. Temperature Sensor Analog LM35
6. Resistor 2K
7. Resistor 1K
8. LED 5mm LED Any colour
9. Connection Wire Jumper Wires
10. Breadboard ----------
11. Arduino Board Arduino UNO/ Nano
CIRCUIT DIAGRAM
IOT Based Health Monitoring System using ESP266 & Arduino assemble the circuit as shown in the figure below.
3. Connect the LED
to Digital Pin 7 of Arduino via a 220-ohm
resistor.
4. Connect Pin 1,3,5,16
of LCD to GND.
5. Connect Pin 2,15 of LCD
to VCC.
6. Connect Pin 4,6,11,12,13,14 of LCD to Digital Pin12,11,5,4,3,2 of Arduino.
7. The RX pin of ESP8266 works on 3.3V and it will not communicate with the Arduino when we will connect it directly to the Arduino. So, we will have to make a voltage divider for it which will convert the 5V into 3.3V. This can be done by connecting the 2.2K & 1K resistor. Thus the RX pin of the ESP8266 is connected to pin 10 of Arduino through the resistors.
CONCLUSION
The purpose of this system reading of various important indications
of the patient and after that evaluate at cloud then caution the doctor
or concerned individuals about the health condition.
It conveys important message when our senses are not normal and alerts
medical staff when it is abnormal and it reduce the mannual monitoring
The system uses MQTT communication to send the data to cloud platform.
BACKGROUND
Health care infrastructure is extremely poor in a large part of the developing
world today, There are very few clinics in the country today and with a large
population.
Doctor facilities are few, where specialists are available in very few numbers.
Basic diagnostic tools for diagnosing life-threatening diseases are absent.
This paper could make a handy compact health-detection gadget,
incorporating a few sensors equipped to measure vital properties of the
human body, and talking to a doctor's facility database
WRITTEN BY :
"IOT BASED PATIENT HEALTH MONITORING SYSTEM"
DATE - 28/05/2022
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