Research And Application of Wearable Sensor Systems Based on Daily Physical Indicator Collection and Analysis in Elderly Health Assurance

In recent years, the popularity of smartphones and smartwatches, along with advancements in IoT and artificial intelligence (AI) technologies, has driven the widespread adoption of wearable sensors. Societally, the aging population has intensified the complexities of chronic diseases, home safety, and mental health issues. Wearable sensors enable home-based health monitoring and alleviate pressure on medical resources. This paper focuses on three sensing technologies: multimodal flexible sensor patches, graphene patches, and spectroscopic sensors. Multimodal flexible sensor patches monitor vital signs such as electrocardiograms (ECG), respiration, and skin temperature; graphene patches detect pulse waves via high-sensitivity pressure sensors to assess cardiovascular health; and spectroscopic sensors utilize optical signals for health monitoring and disease diagnosis. The paper also discusses data processing techniques, highlighting challenges such as sensor accuracy, stability, response time, autonomy, and follow-up response capabilities. Additionally, it explores the future feasibility of hybrid sensor systems combining wearable health sensors with robotics, AI, and smart home technologies.