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Biomedical / Machine learning

Physiological Arousal Detection

Combining pulse and skin-conductance signals in a multimodal sensing pipeline.

Role & context
Biomedical engineering project
Status
Prototype completed
When
Apr 2026
Links
Illustrative PPG and skin-conductance sensing setup
Generated sensing concept · Not a project photograph
The project

Context.

A proof-of-concept system synchronizing PPG/IR and galvanic skin response. Data moves from embedded collection to logging, preprocessing, feature extraction, and a supervised classifier.

ESP32MAX30102Grove GSRPythonpandasscikit-learn
Scope & implementation

Inside the work.

  • Recorded labeled calm, stress-like activation, and recovery sessions.
  • Explored smoothing, BPM estimation, variability, slopes, and signal statistics.
  • Connected raw serial data to Python visualizations and model predictions.

Proof of concept for physiological arousal; not a medically validated stress assessment.