Literature DB >> 23151461

A wireless body measurement system to study fatigue in multiple sclerosis.

Fei Yu1, Arne Bilberg, Egon Stenager, Chiara Rabotti, Bin Zhang, Massimo Mischi.   

Abstract

Fatigue is reported as the most common symptom by patients with multiple sclerosis (MS). The physiological and functional parameters related to fatigue in MS patients are currently not well established. A new wearable wireless body measurement system, named Fatigue Monitoring System (FAMOS), was developed to study fatigue in MS. It can continuously measure electrocardiogram, body-skin temperature, electromyogram and motions of feet. The goal of this study is to test the ability of distinguishing fatigued MS patients from healthy subjects by the use of FAMOS. This paper presents the realization of the measurement system including the design of both hardware and dedicated signal processing algorithms. Twenty-six participants including 17 MS patients with fatigue and 9 sex- and age-matched healthy controls were included in the study for continuous 24 h monitoring. The preliminary results show significant differences between fatigued MS patients and healthy controls. In conclusion, the FAMOS enables continuous data acquisition and estimation of multiple physiological and functional parameters. It provides a new, flexible and objective approach to study fatigue in MS, which can distinguish between fatigued MS patients and healthy controls. The usability and reliability of the FAMOS should however be further improved and validated through larger clinical trials.

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Year:  2012        PMID: 23151461     DOI: 10.1088/0967-3334/33/12/2033

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Noninvasive Continuous Monitoring of Vital Signs With Wearables: Fit for Medical Use?

Authors:  Malte Jacobsen; Till A Dembek; Guido Kobbe; Peter W Gaidzik; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2020-02-17

2.  Subjective Cognitive Fatigue and Autonomic Abnormalities in Multiple Sclerosis Patients.

Authors:  Carina Sander; Helmut Hildebrandt; Hans-Peter Schlake; Paul Eling; Katrin Hanken
Journal:  Front Neurol       Date:  2017-09-13       Impact factor: 4.003

3.  Application of a Web-Enabled Leg Training System for the Objective Monitoring and Quantitative Analysis of Exercise-Induced Fatigue.

Authors:  Vadim N Dedov; Irina V Dedova
Journal:  JMIR Res Protoc       Date:  2016-08-22
  3 in total

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