Real-Time Surface Electromyogram Monitoring System Using Smartphone And Its Application

Recently, advance technologies of sensors, low-power microelectronics, smartphones, and wireless networking have been developed for biomedical monitoring system in a large number of individuals. re are few monitoring systems for biomedical signal like surface electromyogram (sEMG). Moreover, muscle fatigue detection is one of important applications of sEMG monitoring during exercise and fitness in maintaining muscle. In this sis, development of real-time sEMG monitoring system for monitoring and guiding people during exercise in maintaining biceps muscle based on muscle fatigue is proposed. proposed system is developed to be running on android smartphone and Personal Computer (PC). smartphone application for android platform is designed and developed by using Eclipse IDE. system also has been successfully implemented by using Hypertext Transfer Protocol (HTTP) and Hypertext Preprocessor (PHP) that able to invoke MatLab as PC`s application to monitor sEMG signal. Fur rmore, sEMG signal is computed by MatLab to calculate and analyze muscle fatigue. testing and implementation results show that android smartphone application can show, record, and send sEMG signal. Fur rmore, it can receive computation results of sEMG signal from PC. It is an important reference value to real-time sEMG monitoring system. system also can help to maintain biceps muscle until exercise complete. Detailed information about design and implementation result is reported in this sis. testing and implementation results have proved that system is correct and feasible