Longitudinal monitoring of hypertonia through a multimodal sensing glove.

Hypertonia Neuromuscular disorders Sensor glove

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
02 Oct 2024
Historique:
received: 21 05 2024
revised: 12 09 2024
accepted: 30 09 2024
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 6 10 2024
Statut: aheadofprint

Résumé

As clinical evaluations of neuromuscular disorders such as hypertonia mostly rely on perception-based scales, the imprecise subjective ratings make it difficult to accurately monitor treatment progress. To promote objective evaluation, this work used a multi-modal sensing glove in a double-blind study to enable sensitive monitoring of medication effects across 19 participants. The biomechanical measurements from the sensing glove effectively distinguished patient cohorts receiving a baclofen treatment or a placebo with 95% confidence. Consistent monitoring over a two-month period was demonstrated, closely tracking variations in individual responses to treatment. The biomechanical changes were correlated to neural activities as recorded by electromyography, verifying the medication effects. The sensing glove is shown to be a reliable tool for point-of-care settings to facilitate precise evaluation of hypertonia, essential for tailoring individual treatment choices and timely management of chronic symptoms.

Identifiants

pubmed: 39369518
pii: S0956-5663(24)00836-4
doi: 10.1016/j.bios.2024.116829
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116829

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Tse Nga Ng, Andrew Skalsky, Harinath Garudadri have patent #US-11123013-B2 issued to Nadi. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jiaxi Liu (J)

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.

Mya Verrett (M)

Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Alyssa Wieand (A)

Rady Children's Hospital, San Diego, CA, USA.

Anna Burch (A)

Rady Children's Hospital, San Diego, CA, USA.

Ariel Jeon (A)

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.

John Collins (J)

Rady Children's Hospital, San Diego, CA, USA.

Cagri Yalcin (C)

Electrical Engineering and Information Technology, Otto-von-Guericke University Magdeburg, Germany.

Harinath Garudadri (H)

Qualcomm Institute, University of California San Diego, La Jolla, CA, USA.

Andrew J Skalsky (AJ)

Rady Children's Hospital, San Diego, CA, USA; Department of Orthopedic Surgery, University of California San Diego, La Jolla, CA, USA.

Tse Nga Ng (TN)

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA. Electronic address: tnn046@ucsd.edu.

Classifications MeSH