Multichannel sEMG signal analysis using Hilbert-Huang transform to Identify time-frequency features
Résumé
Surface EMG signals have important characteristics that could be useful to anticipate user's movements for orthotic & prosthetic devices. To perform a real-time analysis over these signals is important to simplify the processing method and reduce time-computing; applying Empirical Mode Decomposition (EMD) method we obtain the Intrinsic Mode Functions (IMFs) for a multichannel signal to filter, discard and identify frequencies. Results are considered to simplify the sEMG signal processing for real-time analysis.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)