Injury Detection System

SpO2 & heart rate telemetry to injury classifier

Abstract HUD render of an embedded ML inference pipeline with an ECG waveform and sensor readouts

Research/project prototype: reads heart rate, SpO2, and temperature from Arduino sensors and classifies injury risk in real time, with reported ~95% accuracy in early identification during project evaluation, plus automated alert workflows. Not a certified medical product.

PythonC++ / ArduinoEmbedded MLPrototype

Case write-up →GitHub →

Metrics

Reported Acc.

95%

Latency

<2s

Sensors

SpO2 + HR + Temp