A cyber-physical system based framework for motor rehabilitation after stroke

Cyber-physical system (CPS) is conveyed as a networked systems which can interact with people in a higher level through more modalities with integration of computation, communication and control. This paper presents a novel framework, based on CPS concept, for a networked interactive home based intelligent motor rehabilitation system to facilitate functional recovery post-stroke. A hierarchical architecture is proposed in this framework. Patients use proper rehabilitation appliances to conduct continuous, repetitive rehabilitation trainings while wireless sensor networks (WSN) collect data related to the patients' functional activities. Higher level devices do data processing and exchange information with networked therapists and other patients on latest available therapies, valuable experts' experiences, and experience generated in the therapy process. Within this framework, it is expected that important information and resources can be utilized in the rehabilitation stages more efficiently for an individual subject. The design, implementation and future work about this CPS-based framework are discussed in this paper.