Wavelet approach for studying motor strategy patterns of diabetic neuropathic individuals in gait cycle

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conferenceObject
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2014
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CRC PRESS-TAYLOR & FRANCIS GROUP
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COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING IV, p.51-54, 2014
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The aim of this study was to investigate lower limb muscle's energy patterns and spectral properties of diabetic neuropathic individuals during gait cycle using wavelet approach. The signal's energy and frequency were compared between groups in the whole gait cycle and in specific frequency band (7-542 Hz) using t tests. Principal component analysis was used to assess differences between diabetic and non-diabetic EMG patterns. The diabetic individuals displayed lesser energies in lower frequency bands for all muscles and higher energies in higher-frequency bands in the extensors' muscles. Future studies are important if we consider that by identifying these biomechanical changes in early stages of establishment of neuropathy, it could be possible to develop therapeutic and prophylactic prevention of ulcers and subsequent amputations.
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