1 SDU Technology Entrepreneurship and Innovation., The Mads Clausen Institute, Faculty of Engineering, SDU2 Department of Neurology, Institute of Regional Health Research, Det Sundhedsvidenskabelige Fakultet, SDU3 Center Sønderjylland, Institute of Regional Health Research, Det Sundhedsvidenskabelige Fakultet, SDU4 The Mads Clausen Institute, Faculty of Engineering, SDU5 Department of Electrical Engineering, Eindhoven University of Technology6 Danfoss7 The Mads Clausen Institute, Faculty of Engineering, SDU8 Department of Neurology, Institute of Regional Health Research, Det Sundhedsvidenskabelige Fakultet, SDU
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.
Physiological Measurement, 2012, Vol 33, Issue 12
Fatigue; Multiple Sclerosis; physiological and functional parameters; wireless monitoring system