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IOT BASED HEALTH MONITORING SYSTEM Amani Nasser Al-sheriqi, Kawther Sulieman Al-Ismaili, Zuliakha Rashid Al-Hinai, Pandimadevi Ganesan University of Technology and Applied Sciences ,Nizwa Abstract: Healthcare is given the extreme importance now a- days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. We are going to monitor constantly the patient’s heartbeat, body temperature, fall down and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information’s in Thingspeak server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance. Keywords: IoT, Arduino, Sensor, mobile phone. Aims & Objectives: Aim Design a Patient Health Monitoring System which has heartbeat detection system, a fall detection system, temperature detection system, a humidity detection system. ❖ Objectives • To test the sensors in real-time. • To Learn about Thingspeak Cloud Server. • To create channels in Thingspeak • To connect the schematics for each sensors and test the working. • To combine all components and to test for final result. Methodology: Our project uses an Arduino Board, Temperature sensor, Humidity sensor, Vibration sensor, Heart beat Sensor. The sensor modules will work one after the other in a specific time interval. The DHT 11 sensor will measure the surrounding temperature and humidity level. These measured data are communicated to the Arduino board. The Arduino board is connected with a wifi module to transmit the data to the thingpeak server. The second sensor LM35 sensor measures the body temperature and then it will have sent to the Arduino board. Next heartbeat sensor will measure the BPM and the measured value is given to the Arduino board. Similarly, the vibration sensor will detect the vibration or acceleration and it will be communicated to the Arduino. All the measured values are transmitted to the Thingspeak cloud server and the graphical representation of the measurement can be seen in the Thingpseak channel. Also if any abnormalities happened, Thinsgpeak will send sms to the concern doctor. Data Analysis: The IOT based health monitoring system had developed with help of Arduino and Thingspeak. First ,testing of individual components were done. Combined components outputs were verified followed by the individual testing. Finally, the implementation of health monitoring system with IOT is presented with the output. The sensors DHT 11 ,LM35,Heartbeat sensor and ADXL335 sensor were tested .Then we combined all component in one circuit to complete the design of health monitoring system and do test to chick the work of each sensor by connected each other.. Then we have created the Thingspeak channel by following the procedure given to display the values. Also we created the IFTTT applets to send sms when the parameter values exceeded After creating the applets, we have copied and saved the url of each applets to use in ThingSpeak HTTP.Then we created the ThingSpeak HTTP app for each parameters in the Thingspeak Channel. We have included the copied url in the respective Thingspeak HTTP app. To trigger the sms we have to create react app for each monitored parameters. The react page .After that we opened the Arduino software and typed the program for the complete circuit. The written program is compiled and uploaded in Arduino board. The results are observed in the serial monitor and also in the Thingspeak channel.Whenvever the parameter values exceeded the specific values ,ThingSpeak HTTP will trigger the react app to send sms with help of IFTTT. Results: Final Observation Table Thingspeak channel Output IFTTT messages: Conclusions: Our main objective in this project was to successfully monitor the basic four criteria’s namely body temperature, pulse rate, Humidity &Temperature of surroundings and fall detection and react during emergency situation without any human interaction The IOT based health monitoring system was implemented and tested successfully with help of Arduino IDE and Thingspeak. We first checked the working of components by using Arduino Uno. Then we assembled all the components together and tested. The project is working fine and displays the values in the Thingspeak channel and also it is sending sms to the responsible persons in case of any abnormalities. The project is very helpful for the people living in remote areas and doesn’t have access to all the medical facilities. References: [1]. Tamilselvi V, Sribalaji S, Vigneshwaran P, Vinu P, GeethaRamani J.,IoT based health monitoring system. In: 2020 6 th International conference on advanced computing and communication systems (ICACCS). IEEE; 2020. p. 386–9. [2]. Acharya AD, Patil SN. IoT based health care monitoring kit. In: 2020 Fourth international conference on computing methodologies and communication (ICCMC). IEEE; 2020. p. 363–8. [3]. Banerjee S, Roy S. Design of a photo plethysmography based pulse rate detector. Int J Rec Trends Eng Res. 2016;2:302–6. [4]. Gregoski MJ, Mueller M, Vertegel A, Shaporev A, Jackson BB, Frenzel RM, Sprehn SM, Treiber FA. Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. Int J Telemed Appl. 2012;2012:1–7. [5]. Oresko JJ, Jin Zhanpeng, Cheng Jun, Huang Shimeng, Sun Yuwen, Duschl H, Cheng AC. A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing. IEEE Trans Inf Technol Biomed . 2010;14:734–40. [6]. Kumar SP, Samson VRR, Sai UB, Rao PLSDM, Eswar KK. Smart health monitoring system of patient through IoT. In: 2017 [7]. Desai MR, Toravi S. A smart sensor interface for smart homes and heart beat monitoring using WSN in IoT environment. In: 2017 International conference on current trends in computer, electrical, electronics and Communication (CTCEEC). DHT11 Body Temperature State 36.0 –37.5 °C Normal >37.5 °C High <36.0 °C Low LM35 Temperature in F State 97 0 F - 99 0 F Normal >99 0 F High <97 0 F Low HeartBeat Pulse rate State 60 BPM - 100 BPM Normal >100 BPM High <60 BPM Low ADXL335 ADXL 335 State V=3.3V X =2.7g ,Y =2.5g, Z=2 g No Fall detection V=5 V X=1.65g,Y=1.60g, Z=1.23g V=3.3V X >2.7g ,Y >2.5g, Z>2 g Fall Detection Occured V=5 V X>1.65g,Y>1.60g, Z>1.23g
