Literature DB >> 27479220

Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects.

Matthew M Engelhard1, Sriram Raju Dandu2, Stephen D Patek3, John C Lach4, Myla D Goldman5.   

Abstract

BACKGROUND: The six-minute walk (6MW) is a common walking outcome in multiple sclerosis (MS) thought to measure fatigability in addition to overall walking disability. However, direct evidence of 6MW induced gait deterioration is limited by the difficulty of measuring qualitative changes in walking.
OBJECTIVES: This study aims to (1) define and validate a measure of fatigue-related gait deterioration based on data from body-worn sensors; and (2) use this measure to detect gait deterioration induced by the 6MW.
METHODS: Gait deterioration was assessed using the Warp Score, a measure of similarity between gait cycles based on dynamic time warping (DTW). Cycles from later minutes were compared to baseline cycles in 89 subjects with MS and 29 controls. Correlation, corrected (partial) correlation, and linear regression were used to quantify relationships to walking and fatigue outcomes.
RESULTS: Warp Scores rose between minute 3 and minute 6 in subjects with mild and moderate disability (p<0.001). Statistically significant correlations (p<0.001) to the MS walking scale (MSWS-12), modified fatigue impact scale (MFIS) physical subscale, and cerebellar and pyramidal functional system scores (FSS) were observed even after controlling for walking speed. Regression of MSWS-12 scores on Warp Scores and walking speed explained 73.9% of response variance. Correlations to individual MSWS-12 and MFIS items strongly suggest a relationship to fatigability.
CONCLUSION: The Warp Score has been validated in MS subjects as an objective measure of fatigue-related gait deterioration. Progressive changes to gait cycles induced by the 6MW often appeared in later minutes, supporting the importance of sustained walking in clinical assessment.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body-worn sensors; Dynamic time warping; Multiple sclerosis; Six-minute walk; Walking impairment

Mesh:

Year:  2016        PMID: 27479220      PMCID: PMC5035201          DOI: 10.1016/j.gaitpost.2016.07.184

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  13 in total

Review 1.  Assessing walking disability in multiple sclerosis.

Authors:  Bernd C Kieseier; Carlo Pozzilli
Journal:  Mult Scler       Date:  2012-04-24       Impact factor: 6.312

2.  Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed.

Authors:  R I Spain; R J St George; A Salarian; M Mancini; J M Wagner; F B Horak; D Bourdette
Journal:  Gait Posture       Date:  2012-01-25       Impact factor: 2.840

3.  Comparison of the 2- and 6-minute walk test in multiple sclerosis.

Authors:  D Gijbels; B O Eijnde; P Feys
Journal:  Mult Scler       Date:  2011-06-03       Impact factor: 6.312

4.  Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months.

Authors:  Rebecca I Spain; Martina Mancini; Fay B Horak; Dennis Bourdette
Journal:  Gait Posture       Date:  2013-12-21       Impact factor: 2.840

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6.  Urinary symptoms and the neurological features of bladder dysfunction in multiple sclerosis.

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Authors:  J F Kurtzke
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8.  Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12).

Authors:  J C Hobart; A Riazi; D L Lamping; R Fitzpatrick; A J Thompson
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9.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

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1.  Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

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4.  Wearable Inertial Sensors to Assess Gait during the 6-Minute Walk Test: A Systematic Review.

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5.  Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis.

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6.  Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds.

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Review 7.  The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review.

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Journal:  Front Neurol       Date:  2022-06-27       Impact factor: 4.086

8.  Short Bouts of Gait Data and Body-Worn Inertial Sensors Can Provide Reliable Measures of Spatiotemporal Gait Parameters from Bilateral Gait Data for Persons with Multiple Sclerosis.

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9.  Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones.

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