Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.

The use of auditory stimuli in rehabilitation to target walking has been evidenced in persons with neurological conditions. The methodologies focus on the synchronisation of persons' steps to auditory stimuli showing that the type of stimuli and tempi significantly affect the synchronisation. H...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Bergas Nur Fayyad, Joeri R Verbiest, Anna Ivanova, Mario Manto, Lousin Moumdjian
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0315607
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841555447537991680
author Muhammad Bergas Nur Fayyad
Joeri R Verbiest
Anna Ivanova
Mario Manto
Lousin Moumdjian
author_facet Muhammad Bergas Nur Fayyad
Joeri R Verbiest
Anna Ivanova
Mario Manto
Lousin Moumdjian
author_sort Muhammad Bergas Nur Fayyad
collection DOAJ
description The use of auditory stimuli in rehabilitation to target walking has been evidenced in persons with neurological conditions. The methodologies focus on the synchronisation of persons' steps to auditory stimuli showing that the type of stimuli and tempi significantly affect the synchronisation. However, the dynamic of the interaction over time between the motor system and the auditory stimuli, i.e., when steps are aligned (termed as locking) and not aligned (termed as unlocking) to the beat of the stimuli, remains unclear. Quantifying these dynamics would assist in the development of personalised rehabilitation. Nevertheless, it is currently challenging given the variability of responses per individual over time. We propose a methodological solution to quantify the dynamics of the step-to-beat coupling over time within an experimental paradigm where healthy (n = 7) and neurological impaired (n = 6) participants walk three minutes to music and metronomes at various tempi. We applied window partitioning within the time series to account for the changing pattern. To classify data into locked and unlocked events, features of fluctuation and trend were derived on which two statistical tests (circular statistical test and slope test) were done, respectively. Based on the ground truth, the performance of our proposed method yielded high accuracy (91%), precision (90%) and recall (97%). The standard deviation of the inter-step intervals was then modelled across the label and experimental factors. The proposed method is suitable for quantifying fine-grained observation of the dynamics of auditory-motor coupling in adult healthy and neurological impaired participants, with the potential of designing personalised rehabilitation.
format Article
id doaj-art-3add5865775c46bd939512ceb573be56
institution Kabale University
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-3add5865775c46bd939512ceb573be562025-01-08T05:33:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031560710.1371/journal.pone.0315607Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.Muhammad Bergas Nur FayyadJoeri R VerbiestAnna IvanovaMario MantoLousin MoumdjianThe use of auditory stimuli in rehabilitation to target walking has been evidenced in persons with neurological conditions. The methodologies focus on the synchronisation of persons' steps to auditory stimuli showing that the type of stimuli and tempi significantly affect the synchronisation. However, the dynamic of the interaction over time between the motor system and the auditory stimuli, i.e., when steps are aligned (termed as locking) and not aligned (termed as unlocking) to the beat of the stimuli, remains unclear. Quantifying these dynamics would assist in the development of personalised rehabilitation. Nevertheless, it is currently challenging given the variability of responses per individual over time. We propose a methodological solution to quantify the dynamics of the step-to-beat coupling over time within an experimental paradigm where healthy (n = 7) and neurological impaired (n = 6) participants walk three minutes to music and metronomes at various tempi. We applied window partitioning within the time series to account for the changing pattern. To classify data into locked and unlocked events, features of fluctuation and trend were derived on which two statistical tests (circular statistical test and slope test) were done, respectively. Based on the ground truth, the performance of our proposed method yielded high accuracy (91%), precision (90%) and recall (97%). The standard deviation of the inter-step intervals was then modelled across the label and experimental factors. The proposed method is suitable for quantifying fine-grained observation of the dynamics of auditory-motor coupling in adult healthy and neurological impaired participants, with the potential of designing personalised rehabilitation.https://doi.org/10.1371/journal.pone.0315607
spellingShingle Muhammad Bergas Nur Fayyad
Joeri R Verbiest
Anna Ivanova
Mario Manto
Lousin Moumdjian
Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
PLoS ONE
title Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
title_full Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
title_fullStr Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
title_full_unstemmed Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
title_short Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults.
title_sort feature derivation and classification of auditory motor coupling dynamics in healthy and neurologically impaired adults
url https://doi.org/10.1371/journal.pone.0315607
work_keys_str_mv AT muhammadbergasnurfayyad featurederivationandclassificationofauditorymotorcouplingdynamicsinhealthyandneurologicallyimpairedadults
AT joerirverbiest featurederivationandclassificationofauditorymotorcouplingdynamicsinhealthyandneurologicallyimpairedadults
AT annaivanova featurederivationandclassificationofauditorymotorcouplingdynamicsinhealthyandneurologicallyimpairedadults
AT mariomanto featurederivationandclassificationofauditorymotorcouplingdynamicsinhealthyandneurologicallyimpairedadults
AT lousinmoumdjian featurederivationandclassificationofauditorymotorcouplingdynamicsinhealthyandneurologicallyimpairedadults