Core Sheath Fiber Based Photoplethysmography (PPG) Integration and Artificial Intelligence (AI) Outlook: A Non-Invasive Scheme for Infant Heart Rate Monitoring

Photoplethysmography (PPG) is a non-invasive physiological monitoring technology used in health monitoring, but traditional devices have limitations in infant health monitoring. This paper aims to improve the comfort and reliability of infant health monitoring by combining PPG with core-sheath textile technology. Core-sheath structural fibers are used as carriers for PPG sensors, resulting in non-invasive and comfortable heart rate monitoring. Signal processing algorithms like wavelet transform, ICA, and CNN are used to denoise PPG signals and extract heart rate. The proposed theory outperforms traditional methods in signal quality and heart rate detection accuracy, while improving wearing comfort. The PPG signal processing algorithm and AI interaction enable real-time heart rate monitoring, providing an innovative solution for infant health monitoring.