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Vitor Bruno de Oliveira Barth
Signal Processing Laboratory, São Carlos School of Engineering, University of São Paulo, São Carlos, SP
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Jordão Natal de Oliveira Junior
Signal Processing Laboratory, São Carlos School of Engineering, University of São Paulo, São Carlos, SP
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Victor Hugo Batista Tsukahara
Signal Processing Laboratory, São Carlos School of Engineering, University of São Paulo, São Carlos, SP
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Fábio Viadanna Serrão
Department of Physiotherapy, São Carlos Federal University, São Carlos, SP
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Ana Flávia dos Santos
Department of Physiotherapy, UNA University, Pouso Alegre, MG
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Carlos Dias Maciel
Signal Processing Laboratory, São Carlos School of Engineering, University of São Paulo, São Carlos, SP
Keywords:
Electromyography, Kinematic analysis, Information theory, Mutual information, Patellofemoral pain
Abstract
More than a third of the US population engaged in running in 2018, and the rate of lesions in inexperienced runners is higher than 80%. Often, the diagnosis of lesions in the lower limb require extensive evaluations, including gait analysis. Such analysis look for differences in pathological and normal gait, and are often conduced by health professionals which monitor myoelectric impulses and the kinematic. Yet both EMG and Kinematic are related, many challenges surround the full comprehension of this coupling. Information theoretic measures are known for discovering the dependency between variables, and have already been used for the analysis of muscle synergy and on EEG signals. This work contains a case study of the usage of Delayed and Conditional Mutual Information on healthy individuals and patellofemoral pain patients, and presents some differences found in the muscle activation patterns between both groups.
