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Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study

Sustained involuntary muscle activity (IMA) is a highly disabling and not completely understood phenomenon that occurs after a central nervous system lesion. We tested the feasibility of in-field IMA measuring at an acute rehabilitation ward. We used wearable probes for single differential surface E...

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Autores principales: Merlo, Andrea, Montecchi, Maria Giulia, Lombardi, Francesco, Vata, Xhejsi, Musi, Aurora, Lusuardi, Mirco, Merletti, Roberto, Campanini, Isabella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125592/
https://www.ncbi.nlm.nih.gov/pubmed/33946234
http://dx.doi.org/10.3390/s21093120
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author Merlo, Andrea
Montecchi, Maria Giulia
Lombardi, Francesco
Vata, Xhejsi
Musi, Aurora
Lusuardi, Mirco
Merletti, Roberto
Campanini, Isabella
author_facet Merlo, Andrea
Montecchi, Maria Giulia
Lombardi, Francesco
Vata, Xhejsi
Musi, Aurora
Lusuardi, Mirco
Merletti, Roberto
Campanini, Isabella
author_sort Merlo, Andrea
collection PubMed
description Sustained involuntary muscle activity (IMA) is a highly disabling and not completely understood phenomenon that occurs after a central nervous system lesion. We tested the feasibility of in-field IMA measuring at an acute rehabilitation ward. We used wearable probes for single differential surface EMG (sEMG), inclusive of a 3D accelerometer, onboard memory and remote control. We collected 429 h of data from the biceps brachii of 10 patients with arm plegia. Data quality was first verified in the time and frequency domains. Next, IMA was automatically identified based on the steady presence of motor unit action potential (MUAP) trains at rest. Feasibility was excellent in terms of prep time and burden to the clinical staff. A total of 350.5 h of data (81.7%) were reliable. IMA was found in 85.9 h (25%). This was often present in the form of exceedingly long-lasting trains of one or a few MUAPs, with differences among patients and variability, both within and between days in terms of IMA duration, root mean square (RMS) and peak-to-peak amplitude. Our results proved the feasibility of using wearable probes for single differential sEMG to identify and quantify IMA in plegic muscles of bedridden acute neurological patients. Our results also suggest the need for long-lasting acquisitions to properly characterize IMA. The possibility of easily assessing IMA in acute inpatients can have a huge impact on the management of their postures, physiotherapy and treatments.
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spelling pubmed-81255922021-05-17 Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study Merlo, Andrea Montecchi, Maria Giulia Lombardi, Francesco Vata, Xhejsi Musi, Aurora Lusuardi, Mirco Merletti, Roberto Campanini, Isabella Sensors (Basel) Article Sustained involuntary muscle activity (IMA) is a highly disabling and not completely understood phenomenon that occurs after a central nervous system lesion. We tested the feasibility of in-field IMA measuring at an acute rehabilitation ward. We used wearable probes for single differential surface EMG (sEMG), inclusive of a 3D accelerometer, onboard memory and remote control. We collected 429 h of data from the biceps brachii of 10 patients with arm plegia. Data quality was first verified in the time and frequency domains. Next, IMA was automatically identified based on the steady presence of motor unit action potential (MUAP) trains at rest. Feasibility was excellent in terms of prep time and burden to the clinical staff. A total of 350.5 h of data (81.7%) were reliable. IMA was found in 85.9 h (25%). This was often present in the form of exceedingly long-lasting trains of one or a few MUAPs, with differences among patients and variability, both within and between days in terms of IMA duration, root mean square (RMS) and peak-to-peak amplitude. Our results proved the feasibility of using wearable probes for single differential sEMG to identify and quantify IMA in plegic muscles of bedridden acute neurological patients. Our results also suggest the need for long-lasting acquisitions to properly characterize IMA. The possibility of easily assessing IMA in acute inpatients can have a huge impact on the management of their postures, physiotherapy and treatments. MDPI 2021-04-30 /pmc/articles/PMC8125592/ /pubmed/33946234 http://dx.doi.org/10.3390/s21093120 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Merlo, Andrea
Montecchi, Maria Giulia
Lombardi, Francesco
Vata, Xhejsi
Musi, Aurora
Lusuardi, Mirco
Merletti, Roberto
Campanini, Isabella
Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title_full Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title_fullStr Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title_full_unstemmed Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title_short Monitoring Involuntary Muscle Activity in Acute Patients with Upper Motor Neuron Lesion by Wearable Sensors: A Feasibility Study
title_sort monitoring involuntary muscle activity in acute patients with upper motor neuron lesion by wearable sensors: a feasibility study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125592/
https://www.ncbi.nlm.nih.gov/pubmed/33946234
http://dx.doi.org/10.3390/s21093120
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