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Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation
BACKGROUND: In the rehabilitation of postoperative facial palsy, physical therapy is of paramount importance. However, in the early rehabilitation phase, voluntary movements are often limited, and thus, the motivation of patients is impacted. In these situations, biofeedback of facial electromyograp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931662/ https://www.ncbi.nlm.nih.gov/pubmed/35310106 http://dx.doi.org/10.3389/fnins.2022.666173 |
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author | Machetanz, Kathrin Grimm, Florian Schäfer, Ruth Trakolis, Leonidas Hurth, Helene Haas, Patrick Gharabaghi, Alireza Tatagiba, Marcos Naros, Georgios |
author_facet | Machetanz, Kathrin Grimm, Florian Schäfer, Ruth Trakolis, Leonidas Hurth, Helene Haas, Patrick Gharabaghi, Alireza Tatagiba, Marcos Naros, Georgios |
author_sort | Machetanz, Kathrin |
collection | PubMed |
description | BACKGROUND: In the rehabilitation of postoperative facial palsy, physical therapy is of paramount importance. However, in the early rehabilitation phase, voluntary movements are often limited, and thus, the motivation of patients is impacted. In these situations, biofeedback of facial electromyographic (EMG) signals enables the visual representation of the rehabilitation progress, even without apparent facial movements. In the present study, we designed and evaluated a custom-made EMG biofeedback system enabling cost-effective facial rehabilitation. METHODS: This prospective study describes a custom-made EMG system, consisting of a microcontroller board and muscle sensors, which was used to record the EMG of frontal and zygomatic facial muscles during frowning and smiling. First, the mean EMG amplitudes and movement onset detection rates (ACC) achieved with the custom-made EMG system were compared with a commercial EMG device in 12 healthy subjects. Subsequently, the custom-made device was applied to 12 patients with and without postoperative facial paresis after neurosurgical intervention. Here, the ratio [laterality index (LI)] between the mean EMG amplitude of the healthy and affected side was calculated and related to the facial function as measured by the House and Brackmann scale (H&B) ranging from 1 (normal) to 6 (total paralysis). RESULTS: In healthy subjects, a good correlation was measured between the mean EMG amplitudes of the custom-made and commercial EMG device for both frontal (r = 0.84, p = 0.001) and zygomatic muscles (r = 0.8, p = 0.002). In patients, the LI of the frontal and zygomatic muscles correlated significantly with the H&B (r = −0.83, p = 0.001 and r = −0.65, p = 0.023). The ACC of the custom-made EMG system varied between 65 and 79% depending on the recorded muscle and cohort. CONCLUSION: The present study demonstrates a good application potential of our custom-made EMG biofeedback device to detect facial EMG activity in healthy subjects as well as patients with facial palsies. There is a correlation between the electrophysiological measurements and the clinical outcome. Such a device might enable cost-efficient home-based facial EMG biofeedback. However, movement detection accuracy should be improved in future studies to reach ranges of commercial devices. |
format | Online Article Text |
id | pubmed-8931662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89316622022-03-19 Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation Machetanz, Kathrin Grimm, Florian Schäfer, Ruth Trakolis, Leonidas Hurth, Helene Haas, Patrick Gharabaghi, Alireza Tatagiba, Marcos Naros, Georgios Front Neurosci Neuroscience BACKGROUND: In the rehabilitation of postoperative facial palsy, physical therapy is of paramount importance. However, in the early rehabilitation phase, voluntary movements are often limited, and thus, the motivation of patients is impacted. In these situations, biofeedback of facial electromyographic (EMG) signals enables the visual representation of the rehabilitation progress, even without apparent facial movements. In the present study, we designed and evaluated a custom-made EMG biofeedback system enabling cost-effective facial rehabilitation. METHODS: This prospective study describes a custom-made EMG system, consisting of a microcontroller board and muscle sensors, which was used to record the EMG of frontal and zygomatic facial muscles during frowning and smiling. First, the mean EMG amplitudes and movement onset detection rates (ACC) achieved with the custom-made EMG system were compared with a commercial EMG device in 12 healthy subjects. Subsequently, the custom-made device was applied to 12 patients with and without postoperative facial paresis after neurosurgical intervention. Here, the ratio [laterality index (LI)] between the mean EMG amplitude of the healthy and affected side was calculated and related to the facial function as measured by the House and Brackmann scale (H&B) ranging from 1 (normal) to 6 (total paralysis). RESULTS: In healthy subjects, a good correlation was measured between the mean EMG amplitudes of the custom-made and commercial EMG device for both frontal (r = 0.84, p = 0.001) and zygomatic muscles (r = 0.8, p = 0.002). In patients, the LI of the frontal and zygomatic muscles correlated significantly with the H&B (r = −0.83, p = 0.001 and r = −0.65, p = 0.023). The ACC of the custom-made EMG system varied between 65 and 79% depending on the recorded muscle and cohort. CONCLUSION: The present study demonstrates a good application potential of our custom-made EMG biofeedback device to detect facial EMG activity in healthy subjects as well as patients with facial palsies. There is a correlation between the electrophysiological measurements and the clinical outcome. Such a device might enable cost-efficient home-based facial EMG biofeedback. However, movement detection accuracy should be improved in future studies to reach ranges of commercial devices. Frontiers Media S.A. 2022-03-04 /pmc/articles/PMC8931662/ /pubmed/35310106 http://dx.doi.org/10.3389/fnins.2022.666173 Text en Copyright © 2022 Machetanz, Grimm, Schäfer, Trakolis, Hurth, Haas, Gharabaghi, Tatagiba and Naros. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Machetanz, Kathrin Grimm, Florian Schäfer, Ruth Trakolis, Leonidas Hurth, Helene Haas, Patrick Gharabaghi, Alireza Tatagiba, Marcos Naros, Georgios Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title | Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title_full | Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title_fullStr | Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title_full_unstemmed | Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title_short | Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation |
title_sort | design and evaluation of a custom-made electromyographic biofeedback system for facial rehabilitation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931662/ https://www.ncbi.nlm.nih.gov/pubmed/35310106 http://dx.doi.org/10.3389/fnins.2022.666173 |
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