Title :
Time Frequency noise canceller for an optimized separation of the ECG from low back sEMG signals
Author :
El Fares Djellatou, Mohamed ; Boukadoum, Mounir ; Massicotte, Daniel
Author_Institution :
Dept. Electr. & Comput. Eng., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
Abstract :
This work describes a hybrid adaptive filtering technique, designed to optimize the removal of the electrocardiogram (ECG) from surface electromyography (sEMG) recordings. Using the adaptive noise cancellation technique (ANC), we minimize the error gradient based on combined Time-Frequency filtering enhancements. The validation on artificially prepared signals with a real data basis shows better frequency and time filtering performances in comparison to simulations with standard implementations.
Keywords :
adaptive filters; electrocardiography; electromyography; medical signal processing; signal denoising; source separation; ANC; ECG; adaptive noise cancellation technique; electrocardiogram removal; error gradient; frequency performances; hybrid adaptive filtering technique; low back sEMG signals; optimized separation; real data basis; surface electromyography recordings; time filtering performances; time frequency noise canceller; time-Frequency filtering enhancement; Adaptive filters; Coherence; Electrocardiography; Electromyography; Filtering; Time-frequency analysis; Vectors;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864460
