kvuvuv/ecg-research-skill

README 摘要

ECG Research Skill A research-grade operating standard for electrocardiogram (ECG) signal processing , designed for graduate-level research in biomedical signal analysis, machine learning, scientific visualization, and academic writing. The purpose of this project is not merely to provide ECG-related knowledge. It defines a structured research workflow and a set of methodological constraints that enable ECG research to be conducted in a rigorous, reproducible, and scientifically responsible manner — whether executed by a researcher directly or delegated to an AI-assisted research workflow. Overview ecg-research is intended for biomedical engineering and physiological signal processing research involving topics such as: ECG preprocessing Baseline wander removal Power-line interference suppression Signal quality assessment R-peak detection QRS detection P-QRS-T delineation Heartbeat segmentation Heart rate variability (HRV) Arrhythmia classification Atrial fibrillation detection PVC / PAC detection Morphological ECG analysis Time-domain analysis Frequency-domain analysis Time-frequency analysis Classical machine learning Deep learning 1D CNN RNN / LSTM / GRU Transformer-based ECG mod…

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