Mobile EMG Analysis with Applications in Sport and Medicine

Surface Electromyography (EMG) is an important tool for medical diagnosis, rehabilitation and sports biomechanics. While it is usually used to perform recording of data under laboratory conditions, wearable sensors have enabled also mobile recording of dynamic movements. This has led to feedback applications which require real-time processing of the EMG data on mobile devices. This paper presents our mobile EMG analysis framework, which consists of a wearable recording device, a wireless mobile sensor framework and a real-time biosignal analysis library. Additionally we present two example applications from sport and medicine. This includes real-time classification of fatigue during running and an application for classification between patients with Parkinson’s disease and healthy controls.