Literature DB >> 28975814

Biosensing in multiple sclerosis.

Andrew Yousef1, Soren Jonzzon1, Leena Suleiman1, Jennifer Arjona1, Jennifer S Graves1.   

Abstract

INTRODUCTION: The goal of using wearable biosensors in multiple sclerosis (MS) is to provide outcome metrics with higher sensitivity to deficits and better inter-test and inter-rater reliability than standard neurological exam bedside maneuvers. A wearable biosensor not only has the potential to enhance physical exams, but also offers the promise of remote evaluations of the patient either at home or with local non-specialist providers. Areas covered: We performed a structured literature review on the use of wearable biosensors in studies of multiple sclerosis. This included accelerometers, gyroscopes, eye-trackers, grip sensors, and multi-sensors. Expert commentary: Wearable sensors that are sensitive to change in function over time have great potential to serve as outcome metrics in clinical trials. Key features of generalizability are simplicity in the application of the device and delivery of data to the provider. Another important feature to establish is best sampling rate. Having too high of a sampling rate can lead to over-interpretation of noisy data On the other hand, a low sampling rate can result in an insensitive test thus missing subtle changes of clinical interest. Of most importance is to establish metrics derived from wearable devices that provide meaningful data in longitudinal studies.

Entities:  

Keywords:  Accelerometer; biosensor; eye-tracking; gyroscope; multiple sclerosis; physical activity; review

Mesh:

Year:  2017        PMID: 28975814     DOI: 10.1080/17434440.2017.1388162

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  7 in total

1.  What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.

Authors:  Caitlin Carswell; Paul M Rea
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Smartphone-derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis.

Authors:  Ka-Hoo Lam; James Twose; Hannah McConchie; Giovanni Licitra; Kim Meijer; Lodewijk de Ruiter; Zoë van Lierop; Bastiaan Moraal; Frederik Barkhof; Bernard Uitdehaag; Vincent de Groot; Joep Killestein
Journal:  Eur J Neurol       Date:  2021-11-14       Impact factor: 6.288

Review 3.  The Role of Wearable Devices in Multiple Sclerosis.

Authors:  Maddalena Sparaco; Luigi Lavorgna; Renata Conforti; Gioacchino Tedeschi; Simona Bonavita
Journal:  Mult Scler Int       Date:  2018-10-10

4.  Novel MS vital sign: multi-sensor captures upper and lower limb dysfunction.

Authors:  Alireza Akhbardeh; Jennifer K Arjona; Kristen M Krysko; Bardia Nourbakhsh; Pierre Antoine Gourraud; Jennifer S Graves
Journal:  Ann Clin Transl Neurol       Date:  2020-02-26       Impact factor: 4.511

Review 5.  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

6.  Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device.

Authors:  Pronabesh DasMahapatra; Emil Chiauzzi; Rishi Bhalerao; Jane Rhodes
Journal:  Digit Biomark       Date:  2018-04-13

7.  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

  7 in total

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