Mechanism and Applications of Electrical Stimulation Disturbance on Motoneuron Excitability Studied Using Flexible Intramuscular Electrode.


Journal

Advanced biosystems
ISSN: 2366-7478
Titre abrégé: Adv Biosyst
Pays: Germany
ID NLM: 101711718

Informations de publication

Date de publication:
07 2019
Historique:
received: 30 09 2018
revised: 17 04 2019
entrez: 11 7 2020
pubmed: 11 7 2020
medline: 25 9 2020
Statut: ppublish

Résumé

Wearable and implantable devices are irreplaceable components in the modern healthcare system. Electrical stimulation on the nervous and neuromuscular system, as a way of therapeutic interventions, has been widely applied to people with neurological disorders and neuromuscular disabilities. The conventional way to study electrical stimulation on the skeletal muscle employs single-channel wire electrodes, which have limited capability to explore the complicated motoneuron distribution in muscle tissue. Here, a microfabricated flexible multiple-channel intramuscular electrode is presented, which enables the study of electrical stimulation using electrode sites of different spatial arrangements with respect to the motoneuron distribution. Observations are reported on slow disturbance on motoneuron excitability induced by large-distance electrodes targeting at the end motor nerves, as well as fast disturbance induced by small-distance electrodes targeting at the main motor nerve trunk. The phenomena of slow and fast disturbance have different potential applications in the field of neuromodulation. In the case of slow disturbance, force output is predictable and shows gradual change, which is suitable for accurately controlled functional electrical stimulation (FES). For fast disturbance, the disappearance of force output opens the possibility for muscle conduction block applications, which can be used for treatment of muscle sparsity by blocking the involuntary motor intentions.

Identifiants

pubmed: 32648673
doi: 10.1002/adbi.201800281
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1800281

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Jiahui Wang (J)

Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.
Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.

Hao Wang (H)

Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.

Chengkuo Lee (C)

Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Singapore Institute for Neurotechnology (SINAPSE), National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.
Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.

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