Wearable apparatus for real-time muscle fatigue detection

Prototyping 
Professor Name：Tan-Hsu Tan / Shing-Hong Liu

We have developed a wearable apparatus for real-time muscle fatigue detection, which follows the IEC 60601-2-40 standard in designing the analogic circuit. The Micro controller ST M32L151RD was employed to obtain the surface electromyography (sEMG) signal via the Ensemble Empirical Mode Decomposition (EEMD), and then compute the fast Fourier transform (FFT) of the first Intrinsic Mode Function (IMF1). Finally, the median frequency (MF) is calculated based on the FFT of IMF1. The test result indicates that the change of the obtained median frequency is more sensitive than the raw sEMG. Moreover, a Bluetooth module (CSR SBC2112 BLE4.0), a vibrator, and an accelerometer are embedded in the wearable apparatus for bilateral data communications, alarm function, and detecting the stepping speed of the bike, respectively.