ON THE USE OF THE COMPLEX WAVELET TRANSFORM FOR SUBJECTS CLASSIFICATION AND CYCLE IDENTIFICATION FROM SEMG ANALYSIS DURING WALKING

DOI10.1142/S0219691306001130zbMath1100.92038OpenAlexW2060874858MaRDI QIDQ5291385

Antonio de Stefano

Publication date: 10 May 2006

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691306001130

zbMATH Keywords

EMGgait analysissubject classificationSEMGelectromyographic signaltibialis anterior

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50) Numerical methods for wavelets (65T60) Biomechanics (92C10)

Related Items (1)

A PEAK ENERGY CRITERION (P. E.) FOR THE SELECTION OF RESONANCE BANDS IN COMPLEX SHIFTED MORLET WAVELET (CSMW) BASED DEMODULATION OF DEFECTIVE ROLLING ELEMENT BEARINGS VIBRATION RESPONSE

Cites Work

• Ten Lectures on Wavelets
• APPLICATION OF COMPLEX WAVELETS FOR EMG ANALYSIS DURING GAIT OF ASYMPTOMATIC AND PATHOLOGICAL SUBJECTS
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