A mathematical Model to Predict Transition-to-Fatigue During Isometric Exercise on Muscles of the Lower Extremities

Autor:	Noe Vargas Hernandez, Olatunde Adeoye, T. Sarkodie Gyan, Jorge Garza-Ulloa, Pablo Rangel, Huiying Yu
Rok vydání:	2012
Předmět:	Engineering medicine.medical_specialty Rehabilitation Muscle fatigue medicine.diagnostic_test business.industry medicine.medical_treatment Healthy subjects Isometric exercise Electromyography Physical medicine and rehabilitation Median frequency medicine business Simulation
Zdroj:	Engineering. :16-19
ISSN:	1947-394X 1947-3931
Popis:	Surface Electromyography (sEMG) activities of the four muscles were studied from twelve healthy subjects to analyze muscle fatigue. Data were recorded while subjects performed isometric exercises for a period of time until fatigue. The signal was segmented with 5000 samples to enable the evolutionary process. Based on the mean power spectrum and Median Frequency (MDF) of each segment, we developed a methodology that is able to detect the signal into a meaningful sequence of Non-Fatigue to Transition-to-Fatigue. By identifying this transitional fatigue stage, it is possible to predict when fatigue will occur, which provides the foundation of the automated system that has the potential to aid in many applications of our lives, including sports, rehabilitation and ergonomics.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf78836605b2c19a7df36288a7b81f1f https://doi.org/10.4236/eng.2012.410b005 Zobrazit plný text záznamu