Application of Surface Electromyography (sEMG) in Smart Health Devices

As a non-invasive physiological signal detection technology, surface electromyography (sEMG) can reflect the state of muscle activity in real time. It has the characteristics of rich information, convenient collection, and high comfort. It is widely used in medical rehabilitation, sports health monitoring, ergonomics, and smart wearable devices. This paper focuses on the basic principles and characteristics of sEMG technology, and from multiple dimensions such as intelligent rehabilitation medicine, sports monitoring and training, ergonomic equipment, and smart wearable devices, it sorts out and analyzes its research status, application results, and technical bottlenecks in smart health equipment in detail. Through literature analysis, it is found that the current sEMG technology has challenges in equipment comfort, signal stability, individual difference adaptability, algorithm generalization performance, and data security, and further breakthroughs are urgently needed. At the same time, this paper also discusses the future development trend and research prospects of sEMG technology in multimodal physiological signal fusion, intelligent human-computer interaction, and personalized precision health management equipment development, in order to provide valuable reference for the future technology development and application in the field of smart health equipment.