A FastDTW Based Lightweight Limb Motion Function Assessment Method

Stroke is a severe cerebrovascular disease caused by the disruption of blood supply to the brain. To provide Inhome rehabilitation, it is essential to solve the problem of high rehabilitation cost and improve the rehabilitation efficacy. The training quality assessment is the core part of an in-home based training system as it provides important feedback which can be used by both the doctors and the patients. Furthermore, patients can conduct training in a comfortable, familiar environment. In this paper, a fast-training motion quality evaluation algorithm is proposed for the motion data captured by an accelerometer-based sensor network. The experiment results show that the evaluation result from the proposed system is within a satisfactory error range compared with that obtained by using the commercial X-sens system. The presented fast and efficient quantitative assessment method could be used for implementing a networked regional in-home rehabilitation system covering multiple users. Clinical Relevance– A fast and efficient upper limb assessment framework is proposed to support the development of a massive telerehabilitation system. Clinical Relevance – A fast and efficient upper limb assessment framework is proposed to support the development of a massive telerehabilitation system.