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SCI-E Article

Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared sp
성명 임창환()
소속 공과대학 생체공학전공
캠퍼스
우수선정주 2018년 04월 4째주
Author Han, Chang-Hee (Dept Biomed Engn); Lim, Jeong-Hwan (Dept Biomed Engn); 임창환 (Dept Biomed Engn);
Corresponding Author Info Im, CH (reprint author), Hanyang Univ, Dept Biomed Engn, Seoul 04763, South Korea.
E-mail 이메일 아이콘ich@hanyang.ac.kr
Document Type Article
Source JOURNAL OF NEUROENGINEERING AND REHABILITATION Volume:15 Issue: Pages:- Published:2018
Times Cited 0
External Information http://dx.doi.org/10.1186/s12984-018-0365-z
Abstract Background: Functional near infrared spectroscopy (fNIRS) finds extended applications in a variety of neuroscience fields. We investigated the potential of fNIRS to monitor voluntary engagement of users during neurorehabilitation, especially during combinatory exercise (CE) that simultaneously uses both, passive and active exercises. Although the CE approach can enhance neurorehabilitation outcome, compared to the conventional passive or active exercise strategies, the active engagement of patients in active motor movements during CE is not known. Methods: We determined hemodynamic responses induced by passive exercise and CE to evaluate the active involvement of users during CEs using fNIRS. In this preliminary study, hemodynamic responses of eight healthy subjects during three different tasks (passive exercise alone, passive exercise with motor imagery, and passive exercise with active motor execution) were recorded. On obtaining statistically significant differences, we classified the hemodynamic responses induced by passive exercise and CEs to determine the identification accuracy of the voluntary engagement of users using fNIRS. Results: Stronger and broader activation around the sensorimotor cortex was observed during CEs, compared to that during passive exercise. Moreover, pattern classification results revealed more than 80% accuracy. Conclusions: Our preliminary study demonstrated that fNIRS can be potentially used to assess the engagement of users of the combinatory neurorehabilitation strategy.
Web of Science Categories Engineering, Biomedical; Neurosciences; Rehabilitation
Funding Institute for Information & communications Technology Promotion (IITP) grant - Korea government (MSIT) [2017-0-00432]; Brain Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2015M3C7A1031969]
Language English
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