Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates
Interference surface electromyogram (EMG) recorded from linear electrode arrays aligned to muscle fibres can be separated into propagating and non-propagating contributions. The first reflects the propagation of action potentials along muscle fibres. The non-propagating components are here shown to...
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doaj-9727f2359b1346679d54f79ab24754552021-04-05T17:04:44ZengIEEEIEEE Access2169-35362019-01-01710615510616110.1109/ACCESS.2019.29316098778632Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing RatesLuca Mesin0https://orcid.org/0000-0002-8239-2348Dipartimento di Elettronica e Telecomunicazioni, Mathematical Biology and Physiology, Politecnico di Torino, Turin, ItalyInterference surface electromyogram (EMG) recorded from linear electrode arrays aligned to muscle fibres can be separated into propagating and non-propagating contributions. The first reflects the propagation of action potentials along muscle fibres. The non-propagating components are here shown to be related to the overall firing pattern of active motor units (MU). Indeed, in simulations, the power spectral density (PSD) of non-propagating components shows a low frequency peak corresponding to the mean firing rate, even when such a contribution is not visible in the PSD of the EMG (either monopolar or single differential configuration, either rectified or not). Moreover, it has a high correlation with the PSD of the cumulative firings of the MUs in the detection volume of the recording system. Applications to experimental data confirm that the low frequency peak is more evident for the non-propagating components than for the raw signals and is related to the MU firing frequency. Potential future applications are expected in the study of the MU control in different conditions (e.g., training, fatigue or pathology, inducing changes, or modulation of firing rate) and in the investigation of common synaptic inputs to motor neurons.https://ieeexplore.ieee.org/document/8778632/End-of-fibre effectmotor unit firing ratenon-propagating componentssurface EMG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luca Mesin |
spellingShingle |
Luca Mesin Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates IEEE Access End-of-fibre effect motor unit firing rate non-propagating components surface EMG |
author_facet |
Luca Mesin |
author_sort |
Luca Mesin |
title |
Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates |
title_short |
Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates |
title_full |
Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates |
title_fullStr |
Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates |
title_full_unstemmed |
Non-Propagating Components of Surface Electromyogram Reflect Motor Unit Firing Rates |
title_sort |
non-propagating components of surface electromyogram reflect motor unit firing rates |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Interference surface electromyogram (EMG) recorded from linear electrode arrays aligned to muscle fibres can be separated into propagating and non-propagating contributions. The first reflects the propagation of action potentials along muscle fibres. The non-propagating components are here shown to be related to the overall firing pattern of active motor units (MU). Indeed, in simulations, the power spectral density (PSD) of non-propagating components shows a low frequency peak corresponding to the mean firing rate, even when such a contribution is not visible in the PSD of the EMG (either monopolar or single differential configuration, either rectified or not). Moreover, it has a high correlation with the PSD of the cumulative firings of the MUs in the detection volume of the recording system. Applications to experimental data confirm that the low frequency peak is more evident for the non-propagating components than for the raw signals and is related to the MU firing frequency. Potential future applications are expected in the study of the MU control in different conditions (e.g., training, fatigue or pathology, inducing changes, or modulation of firing rate) and in the investigation of common synaptic inputs to motor neurons. |
topic |
End-of-fibre effect motor unit firing rate non-propagating components surface EMG |
url |
https://ieeexplore.ieee.org/document/8778632/ |
work_keys_str_mv |
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