hrv-analysis

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

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

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

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

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

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.

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