A wireless body measurement system to study fatigue in multiple sclerosis

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Medicine

Background:

• Fatigue is the most prevalent symptom experienced by individuals with multiple sclerosis (MS).
• The physiological and functional underpinnings of fatigue in MS patients remain incompletely understood.
• Objective measurement tools are needed to assess fatigue in MS.

Purpose of the Study:

• To evaluate the efficacy of a novel wearable wireless system, the Fatigue Monitoring System (FAMOS), in differentiating fatigued MS patients from healthy controls.
• To present the hardware design and signal processing algorithms developed for the FAMOS.
• To assess the system's capability in capturing physiological and functional parameters related to fatigue.

Main Methods:

• Development of the Fatigue Monitoring System (FAMOS) for continuous wireless body measurements.
• FAMOS hardware measures electrocardiogram, body-skin temperature, electromyogram, and foot motion.
• Inclusion of 17 MS patients with fatigue and 9 healthy controls for 24-hour continuous monitoring.

Main Results:

• Preliminary findings indicate significant differences in measured parameters between fatigued MS patients and healthy controls.
• The FAMOS system successfully acquired continuous physiological and functional data.
• The system demonstrated potential in distinguishing between the two study groups.

Conclusions:

• The FAMOS provides a novel, flexible, and objective method for the continuous assessment of fatigue in MS.
• The system enables the estimation of multiple physiological and functional parameters relevant to MS fatigue.
• Further validation and usability improvements through larger clinical trials are recommended for the FAMOS.