Spectral analysis of continuous cardio biomarkers for dysautonomia detection.
dysauto-detector is the detection surface for the dysautonomia work. Its core method is spectral analysis of continuous cardio biomarkers — RR intervals, beat-to-beat heart rate, respiratory-band signals — turned into frequency-domain features (LF / HF power, total power, baroreflex sensitivity proxies) that map cleanly onto autonomic-nervous-system state.
Pairs with SteadySleep: SteadySleep is the integration + ML prediction pipeline; dysauto-detector is the analysis surface that exposes the spectral signals the predictions ride on.