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Title: Using gaming with audio-visual cues and SEMG/EEG data as biofeedback for rehabilitation and accelerated learning
Authors: Deepali Bhatt
Keywords: DRNTU::Engineering::Mechanical engineering::Assistive technology
Issue Date: 2009
Abstract: Currently there are various approaches for stroke rehabilitation. Although various parameters can be measured using robotics technologies and other tools, there are few which provide biofeedback for eliminating compensatory muscle use. while at the same time providing a platform of therapy where supervision is minimised. Both these aspects are crucial in the emerging scenario of high levels of residual disability in chronic phase of stroke and a rapidly decreasing therapist-patient ratio in clinics around the world, and particularly in Singapore.
Description: 212 p.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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