A comparative study for real time and remote heart-rate measurement using max30100 and pulse sensor based devices

Heart-rate monitoring is essential for diagnosing cardiovascular diseases. This research covers a comparative study for real time and remote heart-rate monitoring using ESP32 Development Board. Two sensor-based heart rate monitoring devices were designed for biomedical applications and their measurements were compared to a commercial pulse oximeter device. Devices developed in this research have both software and hardware components. The hardware part includes the electronic and non-electronic solid materials used in the design and construction: MAX30100, Pulse Sensor, ESP32, 16x2 LCD, Buzzer, 3.7 V Lithium Battery, Veroboard, Switch, Powerbank Module, SD card module, 2G SD card. The ESP32 microcontroller reads and interprets signals from the sensors and communicates with every electronic component in the system. The MAX30100 and the Pulse Sensor are the two sensors that measure heartbeat per minute. The 16x2 LCD is used as a screen to display the pulse measurements. The SD card module with a 2G memory card stores the heart-rate in Excel sheet format (.csv). Two 3.7 V lithium-ion batteries were used to supply power to each device. The Buzzer was used as an alarm in case of an abnormal rate. All the electronic components were soldered on the vero using soldering lead and female pin headers. The software part includes Blynk Application and Arduino Integrated Development Environment (IDE). The Blynk app, an online IoT platform, was used to remotely monitor the heart-rate from the MAX30100 and Pulse Sensor-based devices via Wi-Fi built-in ESP32 for potential biotelemetry applications. The Arduino IDE is an open-source platform used to compile the sketches for the ESP32 microcontroller board. The standard deviation is calculated to analyze the data in the SD card. The results showed that the biomedical device with MAX30100 sensor had better reliability than the Pulse Sensor, while the Pulse Sensor consumed less power than the MAX30100. The results also showed that the MAX30100 sensor is more effective than the Pulse Sensor since standard deviation of MAX30100 based device is lower and measurements of MAX30100 are closer to a commercial pulse oximeter device. KEYWORDS: MAX30100, Pulse Sensor, ESP32, Biotelemetry, IoT, Blynk, Biomedical