Literature DB >> 29185551

Wearable biosensors to monitor disability in multiple sclerosis.

Michael J Bradshaw1, Samantha Farrow1, Robert W Motl1, Tanuja Chitnis1.   

Abstract

PURPOSE OF REVIEW: Biosensors capable of measuring physiologic and kinetic parameters associated with disability are being applied to the study of people with multiple sclerosis (MS). We review the use of biosensors in people with MS with an emphasis on measuring/monitoring disability and understanding knowledge gaps between biosensor data and clinical care. RECENT
FINDINGS: Accelerometers are available to the public and may be able to help the clinician understand a patient's degree of disability. Further studies with wearable biosensors capable of measuring other physiologic features, such as vital signs, are needed and are likely to contribute to our understanding of MS.
SUMMARY: Wearable biosensors can improve our understanding of disability, response to treatment, and natural history of MS.

Entities:  

Year:  2017        PMID: 29185551      PMCID: PMC5648206          DOI: 10.1212/CPJ.0000000000000382

Source DB:  PubMed          Journal:  Neurol Clin Pract        ISSN: 2163-0402


  59 in total

1.  Physical activity and multiple sclerosis: a meta-analysis.

Authors:  Robert W Motl; Edward McAuley; Erin M Snook
Journal:  Mult Scler       Date:  2005-08       Impact factor: 6.312

2.  Effect of exercise training on quality of life in multiple sclerosis: a meta-analysis.

Authors:  R W Motl; J L Gosney
Journal:  Mult Scler       Date:  2007-09-19       Impact factor: 6.312

3.  Effects of exercise training on fatigue in multiple sclerosis: a meta-analysis.

Authors:  Lara A Pilutti; Tina A Greenlee; Robert W Motl; Megan S Nickrent; Steven J Petruzzello
Journal:  Psychosom Med       Date:  2013-06-20       Impact factor: 4.312

4.  Predicting habitual walking performance in multiple sclerosis: relevance of capacity and self-report measures.

Authors:  Domien Gijbels; Geert Alders; Elke Van Hoof; Caroline Charlier; Machteld Roelants; Tom Broekmans; Bert Op 't Eijnde; Peter Feys
Journal:  Mult Scler       Date:  2010-03-05       Impact factor: 6.312

5.  Falls in multiple sclerosis.

Authors:  Patricia N Matsuda; Anne Shumway-Cook; Alyssa M Bamer; Shana L Johnson; Dagmar Amtmann; George H Kraft
Journal:  PM R       Date:  2011-07       Impact factor: 2.298

6.  Seasonal prevalence of MS disease activity.

Authors:  D S Meier; K E Balashov; B Healy; H L Weiner; C R G Guttmann
Journal:  Neurology       Date:  2010-08-31       Impact factor: 9.910

Review 7.  Influence of temperature changes on multiple sclerosis: critical review of mechanisms and research potential.

Authors:  T C Guthrie; D A Nelson
Journal:  J Neurol Sci       Date:  1995-03       Impact factor: 3.181

8.  Autonomic dysfunction in multiple sclerosis is better detected by heart rate variability and is not correlated with central autonomic network damage.

Authors:  Gonçalo Videira; Pedro Castro; Bítia Vieira; João Pedro Filipe; Rosa Santos; Elsa Azevedo; Maria José Sá; Pedro Abreu
Journal:  J Neurol Sci       Date:  2016-05-25       Impact factor: 3.181

9.  Accuracy and precision of smartphone applications and commercially available motion sensors in multiple sclerosis.

Authors:  Julia M Balto; Dominique L Kinnett-Hopkins; Robert W Motl
Journal:  Mult Scler J Exp Transl Clin       Date:  2016-03-04

10.  Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis.

Authors:  Robert W Motl; Jeffrey A Cohen; Ralph Benedict; Glenn Phillips; Nicholas LaRocca; Lynn D Hudson; Richard Rudick
Journal:  Mult Scler       Date:  2017-02-16       Impact factor: 6.312

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  12 in total

Review 1.  Motion sensors in multiple sclerosis: Narrative review and update of applications.

Authors:  Jeffer Eidi Sasaki; Brian Sandroff; Marcas Bamman; Robert W Motl
Journal:  Expert Rev Med Devices       Date:  2017-10-18       Impact factor: 3.166

Review 2.  [Enhancing monitoring of disease progression-remote sensoring in multiple sclerosis].

Authors:  M L Weidemann; K Trentzsch; C Torp; T Ziemssen
Journal:  Nervenarzt       Date:  2019-12       Impact factor: 1.214

Review 3.  Performance and Capacity Measurement of the Lower Extremities in Multiple Sclerosis -How to Approach?

Authors:  Sıla Usar İncirli; Özlem Taşkapilioğlu
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

4.  Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?

Authors:  Vrutangkumar V Shah; James McNames; Graham Harker; Carolin Curtze; Patricia Carlson-Kuhta; Rebecca I Spain; Mahmoud El-Gohary; Martina Mancini; Fay B Horak
Journal:  Gait Posture       Date:  2020-11-25       Impact factor: 2.840

Review 5.  Leveraging real-world data to investigate multiple sclerosis disease behavior, prognosis, and treatment.

Authors:  Jeffrey A Cohen; Maria Trojano; Ellen M Mowry; Bernard Mj Uitdehaag; Stephen C Reingold; Ruth Ann Marrie
Journal:  Mult Scler       Date:  2019-11-28       Impact factor: 6.312

Review 6.  Telehealth in Multiple Sclerosis Clinical Care and Research.

Authors:  Xinran Maria Xiang; Jacqueline Bernard
Journal:  Curr Neurol Neurosci Rep       Date:  2021-02-28       Impact factor: 5.081

7.  Sensor-based gait analyses of the six-minute walk test identify qualitative improvement in gait parameters of people with multiple sclerosis after rehabilitation.

Authors:  Pål Berg-Hansen; Stine Marit Moen; Andreas Austeng; Victor Gonzales; Thomas Dahl Klyve; Henrik Negård; Trine Margrethe Seeberg; Elisabeth Gulowsen Celius; Frédéric Meyer
Journal:  J Neurol       Date:  2022-02-15       Impact factor: 4.849

8.  Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study.

Authors:  Tim Woelfle; Silvan Pless; Andrea Wiencierz; Ludwig Kappos; Yvonne Naegelin; Johannes Lorscheider
Journal:  J Med Internet Res       Date:  2021-11-18       Impact factor: 5.428

9.  Rates, patterns, and correlates of fitness tracker use among older adults with multiple sclerosis.

Authors:  Stephanie L Silveira; Jessica F Baird; Robert W Motl
Journal:  Disabil Health J       Date:  2020-07-31       Impact factor: 2.554

10.  Biosensor vital sign detects multiple sclerosis progression.

Authors:  Kristen M Krysko; Alireza Akhbardeh; Jennifer Arjona; Bardia Nourbakhsh; Emmanuelle Waubant; Pierre Antoine Gourraud; Jennifer S Graves
Journal:  Ann Clin Transl Neurol       Date:  2020-11-19       Impact factor: 4.511

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