Gait Monitoring and Walk Distance Estimation With an Accelerometer During 6-Minute Walk Test.
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 hi...
| Publicado en: | Respiratory Care Vol. 64; no. 8; pp. 923 - 931 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137876010&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137876010 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00201324 4GG jtl: Respiratory Care issn: 00201324 maglogo: N pubinfo: dt: Aug2019 vid: 64 iid: 8 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 137876010 137876010 137876010 10.4187/respcare.06144 137876010 ppf: 923 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Gait Monitoring and Walk Distance Estimation With an Accelerometer During 6-Minute Walk Test. aug: au: Retory, Yann David, Pascal Niedzialkowski, Pauline de Picciotto, Carole Bonay, Marcel Petitjean, Michel affil: Centre EXPLOR!, Air Liquide European Homecare Operations Services, Gentilly, France sug: subj: Gait Analysis Walking Speed Evaluation Accelerometers Clinical Assessment Tools Exercise Test Videorecording Body Mass Index Monitoring, Physiologic Equipment and Supplies Male Female Signal Processing, Computer Assisted Univariate Statistics Multivariate Analysis of Variance Pearson's Correlation Coefficient Linear Regression Data Analysis Software Sensitivity and Specificity Post Hoc Analysis Motor Skills Adult Middle Age Human Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: 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: 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 (n = 13 subjects) or high BMI (n = 29 subjects). RESULTS: Steps and U-turn detection correlated with video results (r = 0.99, P < .001 for both). The 6MWD calculation was also in line with classical measurements (r = 0.99, P < .001). High BMI subjects had a significantly lower 6MWD, cadence, and step length than controls (P < .001 for each). Walking speed was more closely correlated with step length (r = 0.92) than with cadence (r = 0.64) for both groups. CONCLUSION: 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. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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