Literature DB >> 31965896

Biosensors to monitor MS activity.

Jennifer S Graves1, Xavier Montalban2.   

Abstract

Advances in wearable and wireless biosensing technology pave the way for a brave new world of novel multiple sclerosis (MS) outcome measures. Our current tools for examining patients date back to the 19th century and while invaluable to the neurologist invite accompaniment from these new technologies and artificial intelligence (AI) analytical methods. While the most common biosensor tool used in MS publications to date is the accelerometer, the landscape is changing quickly with multi-sensor applications, electrodermal sensors, and wireless radiofrequency waves. Some caution is warranted to ensure novel outcomes have clear clinical relevance and stand-up to the rigors of reliability, reproducibility, and precision, but the ultimate implementation of biosensing in the MS clinical setting is inevitable.

Entities:  

Keywords:  Multiple sclerosis; biosensors; digital health; wearable devices

Mesh:

Year:  2020        PMID: 31965896     DOI: 10.1177/1352458519888178

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  4 in total

1.  Remote visits for people with multiple sclerosis during the COVID-19 pandemic in Austria: The TELE MS randomized controlled trial.

Authors:  Patrick Altmann; Fritz Leutmezer; Markus Ponleitner; Dominik Ivkic; Nik Krajnc; Paulus Stefan Rommer; Thomas Berger; Gabriel Bsteh
Journal:  Digit Health       Date:  2022-07-11

Review 2.  Charting a global research strategy for progressive MS-An international progressive MS Alliance proposal.

Authors:  Alan J Thompson; William Carroll; Olga Ciccarelli; Giancarlo Comi; Anne Cross; Alexis Donnelly; Anthony Feinstein; Robert J Fox; Anne Helme; Reinhard Hohlfeld; Robert Hyde; Pamela Kanellis; Douglas Landsman; Catherine Lubetzki; Ruth Ann Marrie; Julia Morahan; Xavier Montalban; Bruno Musch; Sarah Rawlings; Marco Salvetti; Finn Sellebjerg; Caroline Sincock; Kathryn E Smith; Jon Strum; Paola Zaratin; Timothy Coetzee
Journal:  Mult Scler       Date:  2021-12-01       Impact factor: 6.312

Review 3.  Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review.

Authors:  Marcello De Angelis; Luigi Lavorgna; Antonio Carotenuto; Martina Petruzzo; Roberta Lanzillo; Vincenzo Brescia Morra; Marcello Moccia
Journal:  J Clin Med       Date:  2021-05-26       Impact factor: 4.241

4.  A smartphone sensor-based digital outcome assessment of multiple sclerosis.

Authors:  Xavier Montalban; Jennifer Graves; Luciana Midaglia; Patricia Mulero; Laura Julian; Michael Baker; Jan Schadrack; Christian Gossens; Marco Ganzetti; Alf Scotland; Florian Lipsmeier; Johan van Beek; Corrado Bernasconi; Shibeshih Belachew; Michael Lindemann; Stephen L Hauser
Journal:  Mult Scler       Date:  2021-07-14       Impact factor: 6.312

  4 in total

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