hrv-analysis

A complete pipeline for comparing cardiac variability measures derived from ECG signals and PPG signals during sleep.

Aviation safety ML pipeline fusing physiological ECG/HRV signals and human factors to predict pilot fatigue risk (81.56% benchmark accuracy).

Local-first Apple Health dashboard for runners. HRV, stress, weather correlation, body composition. No server, no upload.

Stress detection from wearable HRV signals using a Soft-Voting Ensemble (RF, XGBoost, SVM) on the WESAD dataset. Achieved 82.97% LOSO accuracy.

Analiza sygnałów EKG i parametrów HRV u zawodników szermierki z wykorzystaniem metod statystycznych i uczenia maszynowego.

Female-focused stress detection from wearable physiology (HR/HRV, EDA, temperature, accelerometry) with a reproducible Python pipeline for harmonization, feature extraction, windowing, baseline ML, and evaluation.

Model Context Protocol server for Oura Ring health data with intelligent analysis and recovery insights

A robust algorithmic pipeline for clinical ECG signal processing and Autonomic Nervous System evaluation, utilizing the MIT-BIH Arrhythmia Database.