Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign

In three linesPeak-Detector leverages instruction-tuned LLMs for peak detection across physiological signals (ECG, PPG, BCG, BSG) with explainability. A "peak-representation" technique compresses time-series while preserving critical events. The model is optimized via supervised fine-tuning then multi-objective reinforcement learning, evaluated on 7 datasets (6 public benchmarks + 1 real-world cohort).

Summary generated by Claude — human-verified