peak-detection

Introduces Peak-Detector, a framework that uses instruction-tuned large language models for robust, cross-modal, and explainable peak detection in physiological signals like ECG, PPG, BCG, and BSG. The method transforms time-series data into a condensed 'peak-representation' format and is optimized via supervised fine-tuning followed by reinforcement learning with a multi-objective reward.