Health Monitoring System using Arduino

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Health Monitoring System using Arduino


Internet of Things (IoT) is a new technological paradigm that can connect things from various fields through the Internet. For the IoT-connected healthcare applications, all the sensors are connected to Arduino UNO. Through this system, we can measure ECG, heartbeat, BP, and pulse. Through sensors, it is possible to measure all these values. All these analog sensors can be connected to Arduino through any of the six analog pins. These values are then used for detecting any critical situation. In the case of a critical situation, an alert can be given as a message. Also, it is possible to monitor a person’s health from any location in the world through the Thing speak cloud. Data from sensors is uploaded to the Thing and speaks periodically without any interruption if the internet is available. Here ESP8266 Wi-Fi module is used for connecting Arduino to the internet.

Health Monitoring System using Arduino


Most humans live a busy life in which going to a doctor for weekly or even monthly checkups is an impossible task. Without monitoring your health it is not possible to know whether you are a healthy or sick person. This problem leads to the design of a product that monitors your health every day without going to a doctor. ECG is the most broadly used cardiovascular disease monitoring technique that measures the electrical activities of the heart. An ECG system is a non-invasive monitor for evaluating the heart’s electrical activity, measuring the regularity/rate of heartbeats, and identifying any damage to the heart. ?In this paper, a system is designed as a prototype for monitoring alerting based on the health of a person. This system is fully automated and little or no human help is needed. Any doctor can monitor this person from anywhere through the internet.


  • Diagnosing with the help of a doctor
  • Conventional devices that can only measure a particular parameter
  • Devices that have to be connected invasive to get measurements
  • No automated system exists
  • Smartwatches are expensive and not specifically for healthcare


  • This system also needs a doctor in case of an emergency
  • The accuracy of output is less


  • In this system 24×7 human health, monitoring is designed and implemented
  • In this system, the Arduino Uno board is used for collecting and processing all data
  • Wireless devices have invaded the medical area with a wide range of capabilities.
  • Monitor the patient details in a periodic interval is overhead using existing technologies.
  • To overcome this we have changed recent wireless sensor technologies.
  • Added advanced sensors like pulse oximeter for measuring blood pressure
  • Different sensors are used for measuring different parameters
  • All this data is uploaded to thing speak for remote analysis


  • A wide range of communication is available (IoT)
  • Easy connectivity between modules
  • Easy to implement in real-time


Health Monitoring System using Arduino


  • The sensors that are mentioned above in the block diagram acts an input device
  • They give live readings to the micro controller
  • Micro controller receives the readings and sends data to the wifi module
  • WiFi module sends it to cloud through MQTT protocol


  • Arduino UNO
  • ECG sensor
  • Blood pressure sensor
  • Pulse Sensor
  • DHT-11
  • ESP8266 WI-FI module


  • Programming platform: Arduino IDE
  • Programming language: Embedded C


  • Hong, Z. Yajun and H. Xiaoping, ?Portable ECG measurement device based on MSP430 MCU,? in Proc. BMEI, 2008, pp. 667?671.
  • Ebrahim, M. J. Deen and T. Mondal, ?A wireless wearable ECG sensor for long-term applications,? IEEE Commun. Mag., vol. 50, no. 1, pp. 36?43, Jan. 2012.
  • M. Cano-Garcia, E. Gonzalez-Parada, V. Alarcon-Collantes and E. Casilari-Perez, ?A PDA-based portable wireless ECG monitor for medical personal area networks,? in Proc. MELECON, 2006, pp. 713?716.
  • K. L. Hui, R. S. Sherratt and D. Diaz Sanchez, ?Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies,? Future Generation Computer Systems, vol. 76, pp. 358? 369, Nov. 2017.


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