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TitoloA personal monitoring architecture to detect muscular fatigue in elderly

Autori Tartarisco G., Billeci L., Ricci G., Volpi L., Pioggia G., Siciliano G.

In Neuromuscular Disorders, vol. 22 (S3) pp. S192 - S197. Pergamon Oxford - Elsevier, 2012.

URL http://www.ncbi.nlm.nih.gov/pubmed/23182638

DOI 10.1016/j.nmd.2012.10.009

Abstract
(English)
Muscle fatigue and exercise intolerance are common and frequent symptoms complained by patients with neuromuscular disease. Muscle fatigue would occur when the intended physical activity can no longer be continued or is perceived as involving excessive effort and discomfort. Except for several rare myopathies with specific metabolic derangements leading to exercise-induced muscle fatigue, most studies fail to identify precise pathogenic mechanism of fatigue in this population of patients. On the other hand, apart from canonical examples of neuromuscular diseases, a number of conditions in which muscle apparatus can be involved is known to occur with high prevalence among certain people categories, such as elderly or people undergoing immobilization. In these cases exercise intolerance and muscle fatigue can be severely incapacitating in common daily activities. An objective and smart, unobtrusive techniques, able to objectively measure fatigue phenomenon, would be useful in monitoring muscle function in both NMD patients and patients with secondary skeletal muscle involvement. In this study, we report a novel, non-invasive assistive architecture for the elderly to assess muscle fatigue by biomedical sensors (surface electromyography) using wireless platform during exercise in an ergonomic platform.

Soggetti Neuromuscular Diseases


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