Validity of an inertial measurement unit for the assessment of range and quality of movement during head and thoracic spine movements.

Kinematics Motion capture Neck Neck pain Range of motion Thoracic pain Torso

Journal

Musculoskeletal science & practice
ISSN: 2468-7812
Titre abrégé: Musculoskelet Sci Pract
Pays: Netherlands
ID NLM: 101692753

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 18 04 2023
revised: 12 06 2023
accepted: 06 07 2023
medline: 28 8 2023
pubmed: 12 7 2023
entrez: 11 7 2023
Statut: ppublish

Résumé

Patients with spinal pain often exhibit movement limitations and altered motor control, which can be challenging to measure accurately in clinical practice. Inertial measurement sensors present a promising new opportunity to develop valid, low-cost, and easy-to-use methods for assessing and monitoring spinal motion in a clinical setting. This study aimed to investigate the agreement of an inertial sensor and a 3D camera system for assessing the range of motion (ROM) and quality of movement (QOM) in head and trunk single-plane movements. Thirty-three healthy, pain-free volunteers were included. Each participant performed movements of the head (cervical flexion, extension, and lateral flexion) and trunk (trunk flexion, extension, rotation, and lateral flexion), which were simultaneously recorded by a 3D camera system and an inertial measurement unit (MOTI, Aalborg, Denmark). Agreement and consistency were analyzed for ROM and QOM by determining intraclass correlation coefficients (ICC), mean bias, and with Bland-Altman plots. The agreement between systems was excellent for all movements (ICC between 0.91 and 1.00) for ROM and good to excellent for the QOM (ICC between 0.84 and 0.95). The mean bias for all movements (0.1-0.8°) was below the minimum acceptable difference between devices. The Bland-Altman plot indicated that MOTI systematically measured a slightly greater ROM and QOM than the 3D camera system for all neck and trunk movements. This study showed that MOTI is a feasible and potentially applicable option to assess ROM and QOM for head and trunk movements in experimental and clinical settings.

Sections du résumé

BACKGROUND BACKGROUND
Patients with spinal pain often exhibit movement limitations and altered motor control, which can be challenging to measure accurately in clinical practice. Inertial measurement sensors present a promising new opportunity to develop valid, low-cost, and easy-to-use methods for assessing and monitoring spinal motion in a clinical setting.
AIM OBJECTIVE
This study aimed to investigate the agreement of an inertial sensor and a 3D camera system for assessing the range of motion (ROM) and quality of movement (QOM) in head and trunk single-plane movements.
METHODS METHODS
Thirty-three healthy, pain-free volunteers were included. Each participant performed movements of the head (cervical flexion, extension, and lateral flexion) and trunk (trunk flexion, extension, rotation, and lateral flexion), which were simultaneously recorded by a 3D camera system and an inertial measurement unit (MOTI, Aalborg, Denmark). Agreement and consistency were analyzed for ROM and QOM by determining intraclass correlation coefficients (ICC), mean bias, and with Bland-Altman plots.
RESULTS RESULTS
The agreement between systems was excellent for all movements (ICC between 0.91 and 1.00) for ROM and good to excellent for the QOM (ICC between 0.84 and 0.95). The mean bias for all movements (0.1-0.8°) was below the minimum acceptable difference between devices. The Bland-Altman plot indicated that MOTI systematically measured a slightly greater ROM and QOM than the 3D camera system for all neck and trunk movements.
CONCLUSION CONCLUSIONS
This study showed that MOTI is a feasible and potentially applicable option to assess ROM and QOM for head and trunk movements in experimental and clinical settings.

Identifiants

pubmed: 37433251
pii: S2468-7812(23)00111-X
doi: 10.1016/j.msksp.2023.102826
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102826

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Pablo Bellosta-López (P)

Universidad San Jorge. Campus Universitario, Autov. A23 km 299, 50830, Villanueva de Gállego, Zaragoza, Spain. Electronic address: pbellosta@usj.es.

Morten Bilde Simonsen (MB)

Department of Materials and Production, Faculty of Engineering and Science, Aalborg University, Aalborg, Denmark.

Thorvaldur Skuli Palsson (TS)

Department of Physiotherapy and Occupational Therapy, Aalborg University Hospital, Aalborg, Denmark.

Chris Djurtoft (C)

Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark; Center for General Practice at Aalborg University, Aalborg, Denmark.

Rogerio Pessoto Hirata (RP)

ExerciseTech Research Group, Department of Health Science and Technology Aalborg University, Denmark.

Steffan Wittrup McPhee Christensen (SWM)

Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark; Department of Physiotherapy, University College of Northern Denmark, Aalborg, Denmark.

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Classifications MeSH