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A wireless body measurement system to study fatigue in multiple sclerosis
- Source :
- University of Southern Denmark, Physiological Measurement, 33(12), 2033-2048. Institute of Physics, Yu, F, Rabotti, C, Bilberg, A, Stenager, E, Zhang, B & Mischi, M 2012, ' A wireless body measurement system to study fatigue in multiple sclerosis ', Physiological Measurement, vol. 33, no. 12, pp. 2033–2048 . < http://iopscience.iop.org/0967-3334/33/12/2033/ >
- Publication Year :
- 2012
- Publisher :
- IOP Publishing, 2012.
-
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.
- Subjects :
- Adult
medicine.medical_specialty
Time Factors
Multiple Sclerosis
Physiology
Biomedical Engineering
Biophysics
Young Adult
Physical medicine and rehabilitation
Physiology (medical)
physiological and functional parameters
medicine
Humans
Wireless
Fatigue
Reliability (statistics)
Aged
Monitoring, Physiologic
business.industry
wireless monitoring system
System of measurement
Multiple sclerosis
Healthy subjects
Signal Processing, Computer-Assisted
Monitoring system
Equipment Design
Middle Aged
medicine.disease
Continuous data
Signal processing algorithms
business
Wireless Technology
Algorithms
Subjects
Details
- ISSN :
- 13616579 and 09673334
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Physiological Measurement
- Accession number :
- edsair.doi.dedup.....88a20f96185bf10db7a4447027431b39