Reliability and applicability of a low-cost, camera-based gait evaluation method for clinical use.


Journal

Expert review of medical devices
ISSN: 1745-2422
Titre abrégé: Expert Rev Med Devices
Pays: England
ID NLM: 101230445

Informations de publication

Date de publication:
Jan 2023
Historique:
pubmed: 21 1 2023
medline: 7 2 2023
entrez: 20 1 2023
Statut: ppublish

Résumé

There is the need for the development of reliable and easy to use in clinical setting gait assessment tools. An open-access video analysis software that administers the calculation of kinematical and spatio-temporal characteristics of human movement is Kinovea® however, its repeatability as a gait analysis tool has not been well addressed. The purpose of the study was to examine the applicability and reliability of an objective, quantitative, low-cost and easy to use in the clinical setting, gait evaluation method, using Kinovea® software. Data collected from 44 healthy subjects recording gait in sagittal and frontal plane using two smartphones. Time consumption of the procedure was captured. Kinovea® software was used to calculate kinematical and spatial parameters. Intra- and inter-rater reliability of the video processing as well as intra-rater reliability of the measurement procedure represented good to excellent and there were less random measurement errors. There was no measurement error due to random variation for the most of the calculated parameters, except of the pelvis position. The results suggest that excepting low accuracy in calculation of pelvis position, gait evaluation using Kinovea® software is objective, quantitative, low-cost, reliable and easy to use in the clinical setting.

Sections du résumé

BACKGROUND UNASSIGNED
There is the need for the development of reliable and easy to use in clinical setting gait assessment tools. An open-access video analysis software that administers the calculation of kinematical and spatio-temporal characteristics of human movement is Kinovea® however, its repeatability as a gait analysis tool has not been well addressed. The purpose of the study was to examine the applicability and reliability of an objective, quantitative, low-cost and easy to use in the clinical setting, gait evaluation method, using Kinovea® software.
METHODS UNASSIGNED
Data collected from 44 healthy subjects recording gait in sagittal and frontal plane using two smartphones. Time consumption of the procedure was captured. Kinovea® software was used to calculate kinematical and spatial parameters.
RESULTS UNASSIGNED
Intra- and inter-rater reliability of the video processing as well as intra-rater reliability of the measurement procedure represented good to excellent and there were less random measurement errors. There was no measurement error due to random variation for the most of the calculated parameters, except of the pelvis position.
CONCLUSIONS UNASSIGNED
The results suggest that excepting low accuracy in calculation of pelvis position, gait evaluation using Kinovea® software is objective, quantitative, low-cost, reliable and easy to use in the clinical setting.

Identifiants

pubmed: 36662510
doi: 10.1080/17434440.2023.2171289
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

63-70

Auteurs

Savvas Spanos (S)

Human Performance and Rehabilitation Laboratory, Department of Physiotherapy, University of Thessaly, Lamia, Greece.
Department of Physiotherapy, School of Health Sciences, University of Thessaly, Lamia, Greece.

Asimakis Kanellopoulos (A)

Department of Physiotherapy, School of Health Sciences, University of Thessaly, Lamia, Greece.
Health Assessment and Quality of Life Laboratory, Department of Physiotherapy, University of Thessaly, Lamia, Greece.

Kyriakos Petropoulakos (K)

Human Performance and Rehabilitation Laboratory, Department of Physiotherapy, University of Thessaly, Lamia, Greece.

Zacharias Dimitriadis (Z)

Department of Physiotherapy, School of Health Sciences, University of Thessaly, Lamia, Greece.
Health Assessment and Quality of Life Laboratory, Department of Physiotherapy, University of Thessaly, Lamia, Greece.

Ioannis Siasios (I)

Department of Neurosurgery, Papageorgiou Hospital, Thessaloniki, Greece.

Ioannis Poulis (I)

Human Performance and Rehabilitation Laboratory, Department of Physiotherapy, University of Thessaly, Lamia, Greece.
Department of Physiotherapy, School of Health Sciences, University of Thessaly, Lamia, Greece.

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Classifications MeSH