Plastic Optical Fiber Sensor-based Smart Mattress For Sleeping Posture Remote Monitoring

This paper presents a sleep posture monitoring system for guiding the rehabilitation of patients with heart failure (HF). Eight plastic optical fiber sensors are designed and integrated into the mattress in a herringbone scheme to collect sleeping position signals. Combined with the self-made hardware module, the function of photoelectric conversion and wireless signal transmission are realized. A whale algorithm optimized support vector machine (WOA-SVM) is proposed in the system to classify data, and the accuracy of the algorithm is verified by the sleeping position recognition experiment. The monitoring results can be updated in real-time on family members' mobile phones or the monitoring center. A remote sleeping position monitoring experiment has been implemented to further prove the potential application of the system in guiding the rehabilitation of HF patients.