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Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study

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...

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Autores principales: Han, Chang-Hee, Hwang, Han-Jeong, Lim, Jeong-Hwan, Im, Chang-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865332/
https://www.ncbi.nlm.nih.gov/pubmed/29566710
http://dx.doi.org/10.1186/s12984-018-0365-z
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author Han, Chang-Hee
Hwang, Han-Jeong
Lim, Jeong-Hwan
Im, Chang-Hwan
author_facet Han, Chang-Hee
Hwang, Han-Jeong
Lim, Jeong-Hwan
Im, Chang-Hwan
author_sort Han, Chang-Hee
collection PubMed
description 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.
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spelling pubmed-58653322018-03-27 Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study Han, Chang-Hee Hwang, Han-Jeong Lim, Jeong-Hwan Im, Chang-Hwan J Neuroeng Rehabil Research 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. BioMed Central 2018-03-23 /pmc/articles/PMC5865332/ /pubmed/29566710 http://dx.doi.org/10.1186/s12984-018-0365-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Han, Chang-Hee
Hwang, Han-Jeong
Lim, Jeong-Hwan
Im, Chang-Hwan
Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title_full Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title_fullStr Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title_full_unstemmed Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title_short Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
title_sort assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865332/
https://www.ncbi.nlm.nih.gov/pubmed/29566710
http://dx.doi.org/10.1186/s12984-018-0365-z
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