Literature DB >> 30301382

Novel technology for mobility and balance tracking in patients with multiple sclerosis: a systematic review.

Ruopeng Sun1, Ryan McGinnis2, Jacob J Sosnoff1.   

Abstract

INTRODUCTION: Mobility and balance impairments in patients with multiple sclerosis (MS) are major factors for decreased quality of life. Novel sensing technologies have great potential to efficiently capture subtle changes in mobility and balance performance, and thus improve current practices by providing an easy-to-implement, objective, and continuous functional tracking in MS population. Areas covered: This review details the collective findings of novel technology utilization in mobility and balance tracking in patients with MS. Thirty-three were systematically identified and included in this review. Pertinent methodological features (participant demographics, sensing technology, study aims, functional assessment protocols, and outcome measures) were extracted from each article. The construct validity, reliability, clinical relevance, and discriminative ability of sensor-based assessment in the MS population were summarized. Expert commentary: Sensor-based balance and mobility assessment are valid in comparison with reference standard techniques and are reliable to measure performance in the MS population. Sensor-based measures are also associated with validated clinical outcomes and are sensitive to functional deficits in individuals with MS. Such technologies may greatly improve the likelihood of detecting mobility and balance dysfunctions in real-world environments, thus allowing healthcare professionals to monitor interventions and manage disease progression precisely and efficiently Abbreviations: PwMS: Patients with Multiple Sclerosis; BBS: Berg Balance Scale; DGI: Dynamic Gait Index; ABC: Activity-specific Balance Confidence; T25FW: Timed 25 Foot Walk; 6MWT: 6 minute walk test; TUG: Timed Up and Go test; EO: Eyes Open; EC: Eyes Closed; ICC: Intraclass Correlation Coefficient; EDSS: Expanded Disability Status Scale; MFIS: Modified Fatigue Impact Scale; MSWS: Multiple Sclerosis Walking Scale; MSIS: Mutliple Sclerosis Impact Scale; PPA: Physiological Profile Assessment; HC: Healthy Control; AP: Anterior-posterior direction; ML: Mediolateral direction.

Entities:  

Keywords:  Multiple sclerosis; balance; functional assessmen; mobility; sensing technology

Year:  2018        PMID: 30301382     DOI: 10.1080/14737175.2018.1533816

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  8 in total

1.  Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis.

Authors:  Lindsey J Tulipani; Brett Meyer; Dale Larie; Andrew J Solomon; Ryan S McGinnis
Journal:  Gait Posture       Date:  2020-06-20       Impact factor: 2.840

2.  Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis.

Authors:  Lindsey J Tulipani; Brett Meyer; Dakota Allen; Andrew J Solomon; Ryan S McGinnis
Journal:  Gait Posture       Date:  2022-02-23       Impact factor: 2.746

3.  Using Body-Worn Sensors to Detect Changes in Balance and Mobility After Acute Aerobic Exercise in Adults with Multiple Sclerosis.

Authors:  Susan L Kasser; Jesse V Jacobs; Jeremy Sibold; Avery Marcus; Laurel Cole
Journal:  Int J MS Care       Date:  2020 Jan-Feb

Review 4.  Effectiveness of Motor Imagery on Motor Recovery in Patients with Multiple Sclerosis: Systematic Review.

Authors:  Ana Gil-Bermejo-Bernardez-Zerpa; Jose A Moral-Munoz; David Lucena-Anton; Carlos Luque-Moreno
Journal:  Int J Environ Res Public Health       Date:  2021-01-09       Impact factor: 3.390

5.  Toward Digital Self-monitoring of Multiple Sclerosis: Investigating First Experiences, Needs, and Wishes of People with MS.

Authors:  Karine Wendrich; Pim van Oirschot; Marijn Bart Martens; Marco Heerings; Peter Joseph Jongen; Lotte Krabbenborg
Journal:  Int J MS Care       Date:  2019 Nov-Dec

Review 6.  Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review.

Authors:  Ashley Marie Polhemus; Ronny Bergquist; Magda Bosch de Basea; Gavin Brittain; Sara Catherine Buttery; Nikolaos Chynkiamis; Gloria Dalla Costa; Laura Delgado Ortiz; Heleen Demeyer; Kirsten Emmert; Judith Garcia Aymerich; Heiko Gassner; Clint Hansen; Nicholas Hopkinson; Jochen Klucken; Felix Kluge; Sarah Koch; Letizia Leocani; Walter Maetzler; M Encarna Micó-Amigo; A Stefanie Mikolaizak; Paolo Piraino; Francesca Salis; Christian Schlenstedt; Lars Schwickert; Kirsty Scott; Basil Sharrack; Kristin Taraldsen; Thierry Troosters; Beatrix Vereijken; Ioannis Vogiatzis; Alison Yarnall; Claudia Mazza; Clemens Becker; Lynn Rochester; Milo Alan Puhan; Anja Frei
Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

Review 7.  Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.

Authors:  Marco Ghislieri; Laura Gastaldi; Stefano Pastorelli; Shigeru Tadano; Valentina Agostini
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

8.  The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.

Authors:  Katrin Trentzsch; Marie Luise Weidemann; Charlotte Torp; Hernan Inojosa; Maria Scholz; Rocco Haase; Dirk Schriefer; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurosci       Date:  2020-10-26       Impact factor: 4.677

  8 in total

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