Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation.
biofeedback
electromyography
facial nerve palsy
physical computing platform
vestibular schwannoma
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2022
2022
Historique:
received:
09
02
2021
accepted:
12
01
2022
entrez:
21
3
2022
pubmed:
22
3
2022
medline:
22
3
2022
Statut:
epublish
Résumé
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. 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 In healthy subjects, a good correlation was measured between the mean EMG amplitudes of the custom-made and commercial EMG device for both 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.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
Results
UNASSIGNED
In healthy subjects, a good correlation was measured between the mean EMG amplitudes of the custom-made and commercial EMG device for both
Conclusion
UNASSIGNED
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.
Identifiants
pubmed: 35310106
doi: 10.3389/fnins.2022.666173
pmc: PMC8931662
doi:
Types de publication
Journal Article
Langues
eng
Pagination
666173Informations de copyright
Copyright © 2022 Machetanz, Grimm, Schäfer, Trakolis, Hurth, Haas, Gharabaghi, Tatagiba and Naros.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Front Hum Neurosci. 2015 Jul 03;9:391
pubmed: 26190995
J Pharmacopuncture. 2018 Dec;21(4):258-267
pubmed: 30652052
Neurosurg Focus. 2013 Mar;34(3):E7
pubmed: 23451854
J Med Eng Technol. 2019 May;43(4):235-247
pubmed: 31414614
Arch Phys Med Rehabil. 1969 Nov;50(11):621-5
pubmed: 4311768
J Neuroeng Rehabil. 2019 Jul 23;16(1):95
pubmed: 31337400
Clin Neurol Neurosurg. 2011 Dec;113(10):872-9
pubmed: 21798660
World Neurosurg. 2019 Sep;129:e114-e127
pubmed: 31100515
Otol Neurotol. 2014 Apr;35(4):739-42
pubmed: 24317208
J Clin Monit Comput. 2020 Dec;34(6):1331-1341
pubmed: 31784853
Otolaryngol Head Neck Surg. 2003 Apr;128(4):539-43
pubmed: 12707658
Sensors (Basel). 2019 Nov 28;19(23):
pubmed: 31795083
Psychophysiology. 2001 Jan;38(1):22-34
pubmed: 11321618
Med Sci Sports Exerc. 2002 Sep;34(9):1509-17
pubmed: 12218747
Disabil Rehabil. 2005 Jul 22;27(14):809-15
pubmed: 16096233
Otolaryngol Head Neck Surg. 1985 Apr;93(2):146-7
pubmed: 3921901
Otol Neurotol. 2012 Sep;33(7):1118-26
pubmed: 22872180
Eur Arch Otorhinolaryngol. 2007 Dec;264(12):1491-5
pubmed: 17611766
Curr Opin Ophthalmol. 2018 Sep;29(5):469-475
pubmed: 29994853
Laryngorhinootologie. 2015 Mar;94(3):163-8
pubmed: 25089633
J Biomech. 2010 May 28;43(8):1573-9
pubmed: 20206934
Otol Neurotol. 2005 May;26(3):516-21; discussion 521
pubmed: 15891659
Laryngorhinootologie. 2014 Jan;93(1):15-24
pubmed: 23832554
J Neurosurg. 2000 Oct;93(4):586-93
pubmed: 11014536
Otolaryngol Head Neck Surg. 2003 Apr;128(4):534-8
pubmed: 12707657
Ann Biomed Eng. 2009 Sep;37(9):1849-57
pubmed: 19526342
Clin Neurophysiol. 2014 Feb;125(2):415-21
pubmed: 23993682
Clin Neurophysiol. 2016 Sep;127(9):3033-3041
pubmed: 27472538
World Neurosurg. 2013 Dec;80(6):e271-300
pubmed: 22120256
Eura Medicophys. 2006 Mar;42(1):41-7
pubmed: 16565685
Int Rehabil Med. 1982;4(2):67-74
pubmed: 7174215
Neuroimage. 2016 Jul 1;134:142-152
pubmed: 27046109
J Electromyogr Kinesiol. 2018 Oct;42:74-80
pubmed: 29980103
Otol Neurotol. 2015 Mar;36(3):503-9
pubmed: 24797569
Laryngoscope. 1991 Jul;101(7 Pt 1):744-50
pubmed: 2062155
Sensors (Basel). 2014 May 07;14(5):8235-58
pubmed: 24811078
Clin Rehabil. 2011 Jul;25(7):649-58
pubmed: 21382865
Cochrane Database Syst Rev. 2011 Dec 07;(12):CD006283
pubmed: 22161401
Neurosurgery. 1997 Jan;40(1):1-9; discussion 9-10
pubmed: 8971818
Okajimas Folia Anat Jpn. 2006 May;83(1):7-14
pubmed: 16862746
Otol Neurotol. 2001 Jan;22(1):100-4
pubmed: 11314702
Sensors (Basel). 2019 Jul 20;19(14):
pubmed: 31330807
Clin Neurophysiol. 2005 Mar;116(3):588-96
pubmed: 15721072
Iran J Otorhinolaryngol. 2015 Nov;27(83):409-15
pubmed: 26788484
J Neural Eng. 2018 Feb;15(1):016008
pubmed: 28925372
Am J Phys Med. 1978 Aug;57(4):183-90
pubmed: 696812
J Neurosurg. 2011 Oct;115(4):820-6
pubmed: 21682562
Br J Neurosurg. 2010 Dec;24(6):666-71
pubmed: 21070151