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Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients
Joint Authors
Carrillo-Mora, Paul
Elias-Viñas, David
Cantillo-Negrete, Jessica
Carino-Escobar, Ruben I.
Gutierrez-Martinez, Josefina
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Motor imagery-based brain-computer interfaces (BCI) have shown potential for the rehabilitation of stroke patients; however, low performance has restricted their application in clinical environments.
Therefore, this work presents the implementation of a BCI system, coupled to a robotic hand orthosis and driven by hand motor imagery of healthy subjects and the paralysed hand of stroke patients.
A novel processing stage was designed using a bank of temporal filters, the common spatial pattern algorithm for feature extraction and particle swarm optimisation for feature selection.
Offline tests were performed for testing the proposed processing stage, and results were compared with those computed with common spatial patterns.
Afterwards, online tests with healthy subjects were performed in which the orthosis was activated by the system.
Stroke patients’ average performance was 74.1 ± 11%.
For 4 out of 6 patients, the proposed method showed a statistically significant higher performance than the common spatial pattern method.
Healthy subjects’ average offline and online performances were of 76.2 ± 7.6% and 70 ± 6.7, respectively.
For 3 out of 8 healthy subjects, the proposed method showed a statistically significant higher performance than the common spatial pattern method.
System’s performance showed that it has a potential to be used for hand rehabilitation of stroke patients.
American Psychological Association (APA)
Cantillo-Negrete, Jessica& Carino-Escobar, Ruben I.& Carrillo-Mora, Paul& Elias-Viñas, David& Gutierrez-Martinez, Josefina. 2018. Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1186948
Modern Language Association (MLA)
Cantillo-Negrete, Jessica…[et al.]. Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients. Journal of Healthcare Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1186948
American Medical Association (AMA)
Cantillo-Negrete, Jessica& Carino-Escobar, Ruben I.& Carrillo-Mora, Paul& Elias-Viñas, David& Gutierrez-Martinez, Josefina. Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1186948
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186948