ABSTRACT
ABSTRACT: Rehabilitation training systems have been widely used to help patients recover muscle function in recent years. However, most of the systems are not so suitable for stroke patients. Combined with the neuromuscular function characteristics of stroke patients, this study introduces a rehabilitation training system with surface electromyography (sEMG) feedback based on the ARM embedded system and LabVIEW. This system could not only perform real-time multi-channel surface electromyography (sEMG) signal acquisition, processing and multi-monitor, but also compute muscle fatigue level of patients’ trained parts and other related parameters during the training process. The verification results showed that the whole system was stable and had good interactivity. More importantly, the open system provided a convenient method to update design according to clinical feedback.
