We have developed a low-cost heart rate monitoring system that provides real-time feedback on the user's heart rate. The system uses a MAX30102 sensor to detect the user's pulse and calculate their ...
This project demonstrates how to use the MAX30102 pulse oximeter and an Arduino board to measure a user's heart rate. The system measures heart rate using photoplethysmography (PPG) and transmits the ...
This project implements AI based cardiovascular disease prediction from the ECG waveform along with vital parameters like SpO2 and pulse rate. Arduino UNO R4 WIFI is the central microcontroller which ...
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