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	Real-time Performance of Hand Motion Recognition Using Kinematic Signals for Impaired Hand Function Training
	Zhang, Dongrui; Geng, Yanjuan; Zhang, Xiufeng; Zhang, Yuanting; Li, Guanglin
	2013
会议名称	2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
会议地点	San Diego, CA, United states
英文摘要	Re-gaining the fine motor skills of hand is the ultimate goal of the rehabilitation for the stroke survivors and traumatic brain injured patients with chronic hemiparesis. The clinical outcomes with the traditional passive rehabilitation approaches are often limited and slow for impaired hand-function recovery. It is well known that actively involving the conscious efforts of patients into hand-function training would be critical for improving cerebral functional reorganization according to the brain plasticity theory. In this study, a training system for the rehabilitation of fine hand functions was developed based on a flexible data glove system and validated in able-bodied subjects. The real-time performance of the training system was assessed with a measure, motion completion rate, in seven healthy subjects. The results of this study showed that using the kinematic signals a high average offline classification accuracy (98.67%±1.51%) and sound real-time completion rate (89.17%±5.49%) could be achieved in able-bodied subjects, which suggested a promise of applying kinematic signals in hand-function rehabilitation training. The future works will be conducted in stroke patients to further validate the performance of the proposed system.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4950]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Zhang, Dongrui,Geng, Yanjuan,Zhang, Xiufeng,et al. Real-time Performance of Hand Motion Recognition Using Kinematic Signals for Impaired Hand Function Training[C]. 见:2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013. San Diego, CA, United states.

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