Literature DB >> 31421274

Wearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: A systematic review and meta-analysis.

Aliénor Vienne-Jumeau1, Flavien Quijoux2, Pierre-Paul Vidal3, Damien Ricard4.   

Abstract

BACKGROUND: Gait impairment is a hallmark of multiple sclerosis (MS). InertiaLocoGraphy, the quantification of gait with inertial measurement units (IMUs), has been found useful to detect early changes in gait in MS. Still, the potential use of IMUs as a reliable biomarker of disease severity in MS remains unknown.
OBJECTIVE: This systematic review and meta-analysis of observational studies aimed to describe IMU protocols used to assess gait in MS patients and calculate the effect sizes of IMU features associated with disease severity scale measures.
METHODS: We searched MEDLINE, Cochrane Central, EMBASE and grey literature to identify articles published before May 2, 2018 that measured gait in MS patients by using IMUs and correlated IMU parameters with disease severity scale measures. We excluded from the meta-analysis articles that did not provide enough data to evaluate the association between IMU parameters and disease severity scale measures. The study was registered with the International Prospective Register of Systematic Reviews on May 2, 2018 (Registration: CRD42018092651) and the protocol was published in Systematic Reviews on January 8, 2019.
RESULTS: We included 36 articles in the systematic review and pooled 12 for the meta-analysis. The risk of bias was moderate, with only 2 articles (none included in the meta-analysis) showing a bias score<50%. Among protocols tested, 2 were predominant (the Timed Up and Go test and 6-min walk test). Speed, step length and step time with IMUs were significantly correlated with the Expanded Disability Status Scale (EDSS) score, and speed and step length were significantly correlated with the Multiple Sclerosis Walking Scale-12 score.
CONCLUSION: IMU measurement has the potential to increase the sensitivity of clinical and performance tests to identify evolution in gait alteration in MS. Kinematic parameters easily accessible with IMUs, such as speed, step length and step duration, can help follow up disease severity in MS individuals with low to medium EDSS score (1.0-4.5).
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Accelerometer; Gait analysis; Gait disorders; Gait quantification; Inertial measurement unit; Multiple sclerosis; Wearable inertial sensors

Year:  2019        PMID: 31421274     DOI: 10.1016/j.rehab.2019.07.004

Source DB:  PubMed          Journal:  Ann Phys Rehabil Med        ISSN: 1877-0657


  13 in total

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Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

Review 2.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

3.  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.

Authors:  Lorenza Angelini; Ilaria Carpinella; Davide Cattaneo; Maurizio Ferrarin; Elisa Gervasoni; Basil Sharrack; David Paling; Krishnan Padmakumari Sivaraman Nair; Claudia Mazzà
Journal:  Sensors (Basel)       Date:  2019-12-21       Impact factor: 3.576

4.  What gait features influence the amount and intensity of physical activity in people with multiple sclerosis?

Authors:  Massimiliano Pau; Micaela Porta; Giancarlo Coghe; Eleonora Cocco
Journal:  Medicine (Baltimore)       Date:  2021-03-05       Impact factor: 1.817

5.  Reliability of televisits for patients with mild relapsing-remitting multiple sclerosis in the COVID-19 era.

Authors:  Simona Toscano; Francesco Patti; Clara Grazia Chisari; Sebastiano Arena; Chiara Finocchiaro; Carmela Elita Schillaci; Mario Zappia
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6.  Walking With Horizontal Head Turns Is Impaired in Persons With Early-Stage Multiple Sclerosis Showing Normal Locomotion.

Authors:  Ilaria Carpinella; Elisa Gervasoni; Denise Anastasi; Rachele Di Giovanni; Andrea Tacchino; Giampaolo Brichetto; Paolo Confalonieri; Claudio Solaro; Marco Rovaris; Maurizio Ferrarin; Davide Cattaneo
Journal:  Front Neurol       Date:  2022-01-28       Impact factor: 4.003

Review 7.  Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.

Authors:  Christina Salchow-Hömmen; Matej Skrobot; Magdalena C E Jochner; Thomas Schauer; Andrea A Kühn; Nikolaus Wenger
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

8.  Longitudinal relationships between disability and gait characteristics in people with MS.

Authors:  Sapir Dreyer-Alster; Shay Menascu; Mark Dolev; Uri Givon; David Magalashvili; Anat Achiron; Alon Kalron
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

9.  Towards Human Motion Tracking Enhanced by Semi-Continuous Ultrasonic Time-of-Flight Measurements.

Authors:  Silje Ekroll Jahren; Niels Aakvaag; Frode Strisland; Andreas Vogl; Alessandro Liberale; Anders E Liverud
Journal:  Sensors (Basel)       Date:  2021-03-24       Impact factor: 3.576

10.  Data Dentistry: How Data Are Changing Clinical Care and Research.

Authors:  F Schwendicke; J Krois
Journal:  J Dent Res       Date:  2021-07-08       Impact factor: 6.116

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