NDLI: A sensor-based virtual piano biofeedback system for stroke rehabilitation

Content Provider	IEEE Xplore Digital Library
Author	Ting Zhang Jiang Lu Fei Hu Lv Wu Mengcheng Guo
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alabama, Tuscaloosa, AL, USA (Ting Zhang; Jiang Lu; Fei Hu; Lv Wu; Mengcheng Guo)
Abstract	Approximately 15 million people suffer a stroke every year globally. People with stroke usually have less mobility and this may further reduce the fitness level and emotional wellbeing. Traditional stroke rehabilitation therapy is usually performed in a clinic or hospital, which evolves the care from the therapist. Robot-assisted stroke therapy can be done at the patient's home, but the cost of the systems might be too high for some patients. In this study, we propose a novel sensor-based system for stroke rehabilitation. The system consists of a sensor-based digital glove and software running on a computer with a user interface to a piano. During the rehabilitation treatment, the patient plays the keys of a piano guided by the user interface on the screen. The system may enhance the mobility and flexibility of the affected upper limb and the fingers of stroke patients in an entertaining way. Our experimental results show that the system has a high accuracy of biofeedback.
Starting Page	528
Ending Page	533
File Size	654449
Page Count	6
File Format	PDF
ISBN	9781479971930
DOI	10.1109/GHTC.2014.6970334
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Computers Data handling Thumb Stroke Rehabilitation Robot sensing systems Data processing Software Wearable sensors
Content Type	Text
Resource Type	Article

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