Gait Monitoring and Walk Distance Estimation With an Accelerometer During 6-Minute Walk Test.
accelerometry
exercise testing
gait analysis
obesity
six-minute walk test
Journal
Respiratory care
ISSN: 1943-3654
Titre abrégé: Respir Care
Pays: United States
ID NLM: 7510357
Informations de publication
Date de publication:
Aug 2019
Aug 2019
Historique:
pubmed:
20
6
2019
medline:
1
7
2020
entrez:
20
6
2019
Statut:
ppublish
Résumé
The 6-min walk test (6MWT) encompasses potential and untapped information related to exercise capacity. However, this test does not yield any information about gait pattern. Recently, we used a ventilatory polygraph to reveal respiratory adaptation during the 6MWT with subjects having high or low body mass index (BMI). In this study, we aimed to determine gait parameters with the same device, which integrates an accelerometer. Using a 30-m corridor, steps and U-turns were detected with a custom-made algorithm, compared to video recordings as a reference method, and analyzed offline. From the vertical acceleration signal, we were able to determine cadence and step length, and we could calculate the total distance covered in 6 min (6MWD). We then compared these variables between subjects with low BMI ( Steps and U-turn detection correlated with video results ( Our results demonstrated that a ventilatory polygraph with an embedded accelerometer can be used to detect steps and U-turns, and to calculate 6MWD. This method is sufficiently sensitive to characterize significant BMI-dependent differences in gait pattern during a 6MWT and appears to be a promising tool for routine clinical use.
Sections du résumé
BACKGROUND
BACKGROUND
The 6-min walk test (6MWT) encompasses potential and untapped information related to exercise capacity. However, this test does not yield any information about gait pattern. Recently, we used a ventilatory polygraph to reveal respiratory adaptation during the 6MWT with subjects having high or low body mass index (BMI). In this study, we aimed to determine gait parameters with the same device, which integrates an accelerometer.
METHODS
METHODS
Using a 30-m corridor, steps and U-turns were detected with a custom-made algorithm, compared to video recordings as a reference method, and analyzed offline. From the vertical acceleration signal, we were able to determine cadence and step length, and we could calculate the total distance covered in 6 min (6MWD). We then compared these variables between subjects with low BMI (
RESULTS
RESULTS
Steps and U-turn detection correlated with video results (
CONCLUSION
CONCLUSIONS
Our results demonstrated that a ventilatory polygraph with an embedded accelerometer can be used to detect steps and U-turns, and to calculate 6MWD. This method is sufficiently sensitive to characterize significant BMI-dependent differences in gait pattern during a 6MWT and appears to be a promising tool for routine clinical use.
Identifiants
pubmed: 31213569
pii: respcare.06144
doi: 10.4187/respcare.06144
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
923-930Informations de copyright
Copyright © 2019 by Daedalus Enterprises.
Déclaration de conflit d'intérêts
The authors have disclosed no conflicts of interest.