Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance.
Center of pressure (COP)
Central nervous system (CNS)
Human quiet stance
Intermittent feedback control
Posturography
Journal
Biological cybernetics
ISSN: 1432-0770
Titre abrégé: Biol Cybern
Pays: Germany
ID NLM: 7502533
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
20
10
2021
accepted:
17
02
2022
pubmed:
3
4
2022
medline:
20
7
2022
entrez:
2
4
2022
Statut:
ppublish
Résumé
Event-driven intermittent feedback control is a form of feedback control in which the corrective control action is only initiated intermittently when the variables of interest exceed certain threshold criteria. It has been reported in the literature that the CNS uses an event-driven intermittent control strategy to stabilize the human upright posture. However, whether the threshold criteria may change under different postural task conditions is not yet well understood. We employ a numerical study with inverted pendulum models and an experimental study with 51 young healthy individuals (13 females and 38 males; age: 27.8 ± 6.5 years) with stabilogram-diffusion, temporal and spectral analysis applied to COP (Center of Pressure) trajectories measured from these experiments to examine this aspect. The present study provides compelling evidence that inducing a natural arm swing during quiet stance appears to lead to higher sensory dead zone in neuronal control reflecting higher intermittency thresholds in active feedback control and a corresponding lower sensory dependence. Beyond the obvious scientific interest in understanding this aspect of how CNS controls the standing posture, an investigation of the said control strategy may subsequently help uncover insights about how control of quiet stance degrades with age and in diseased conditions. Additionally, such an understanding will also be of interest to the humanoid robotics community as it may lead to insights leading to improving control strategies for posture control in robots.
Identifiants
pubmed: 35366107
doi: 10.1007/s00422-022-00927-8
pii: 10.1007/s00422-022-00927-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
447-459Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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