The use of accelerometers has proven to be effective in patient monitoring. The purpose of this work is to evaluate the presence of fatigue in a subject, using a wearable sensor incorporating an accelerometer. The acceleration pattern is recorded during daily activity (walking) both in presence and in absence of physical fatigue. The recorded signals are analyzed to extract a set of features, which are then classified using an artificial neural network. Results indicate the network is able to successfully discriminate the presence of fatigue related to physical activity in the subject.

Discrimination of fatigue in walking patterns / S. Orlandi ; L. Bocchi. - ELETTRONICO. - 25/IV:(2009), pp. 1275-1278. ((Intervento presentato al convegno World Congress on Medical Physics and Biomedical Engineering tenutosi a Munich nel September 7-12, 2009.

Discrimination of fatigue in walking patterns

BOCCHI, LEONARDO
2009

Abstract

The use of accelerometers has proven to be effective in patient monitoring. The purpose of this work is to evaluate the presence of fatigue in a subject, using a wearable sensor incorporating an accelerometer. The acceleration pattern is recorded during daily activity (walking) both in presence and in absence of physical fatigue. The recorded signals are analyzed to extract a set of features, which are then classified using an artificial neural network. Results indicate the network is able to successfully discriminate the presence of fatigue related to physical activity in the subject.
IFMBE Proceedings
World Congress on Medical Physics and Biomedical Engineering
Munich
September 7-12, 2009
S. Orlandi ; L. Bocchi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/363413
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