DocumentCode :
168582
Title :
BCI and motion capture technologies for rehabilitation based on videogames
Author :
Munoz, John E. ; Chavarriaga, Ricardo ; Villada, Julian F. ; SebastianLopez, David
Author_Institution :
Colombia Maestria en Ing. Electr., Univ. Tecnol. de Pereira, Pereira, Colombia
fYear :
2014
fDate :
10-13 Oct. 2014
Firstpage :
396
Lastpage :
401
Abstract :
This paper presents a cost-effective rehabilitation system based on videogames and multimodal recordings of physiological signals. The system targets patients with sensory-motor impairments resulting from lesions of the central nervous system (e.g., due to stroke or traumatic injuries). It relies on a wireless low-cost hybrid interface combining a consumer-level electroencephalographic (EEG) device and the Kinect sensor to record the motion capture information. Thus providing quantitative physiological measures to support medical evaluations and improve the personalization of health service. Furthermore, through the design of specialized videogames for rehabilitation, this approach aim at increasing the patient´s motivation, potentially improving the service quality and the recovery process. The system is currently being used in a rehabilitation center in Colombia by patients with upper limb paralysis and balance disorders after stroke or traumaticuries. Initial results show significant improvements in the mobility of affected joints, improved adherence to treatments by patients, and high acceptability by therapists and end-users.
Keywords :
brain-computer interfaces; computer games; electroencephalography; medical signal processing; patient rehabilitation; BCI; Kinect sensor; central nervous system; consumer-level electroencephalographic device; cost-effective rehabilitation system; health service; medical evaluations; motion capture technologies; multimodal recordings; physiological signals; sensory-motor impairments; upper limb paralysis; videogames; wireless low-cost hybrid interface; Biomechanics; Biomedical imaging; Medical treatment; Physiology; Brain Computer Interface; Kinect; Motion Capture; Multimodal Interface; Rehabilitation; Stroke; Videogames;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Humanitarian Technology Conference (GHTC), 2014 IEEE
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/GHTC.2014.6970312
Filename :
6970312
Link To Document :
بازگشت