ML-Powered Health & Fall Monitoring System

Channel ID: 3257633
Author: mwa0000040418754
Access: Public

IoT-based real-time health monitoring system that measures heart rate, SpO2, estimated blood glucose, body temperature, and ECG using ESP32 and MAX30105. Final readings are uploaded to ThingSpeak for visualization and analysis.
iot, health monitoring, ml, esp32, max30105, spo2, heart rate, glucose, ecg



ML-Powered Health & Fall Monitoring System Channel Feed:	JSON XML CSV
Field 1 Data: Heart Rate (BPM)	JSON XML CSV
Field 2 Data: SpO2 (%)	JSON XML CSV
Field 3 Data: Blood Glucose (mg/dL)	JSON XML CSV
Field 4 Data: Body Temperature (°F)	JSON XML CSV
Field 5 Data: ECG Value	JSON XML CSV

MATLAB Analysis MATLAB Visualization

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ML-Powered Health & Fall Monitoring System

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