Title :
Reducing electrocardiographic artifacts from electromyogram signals with independent component analysis
Author :
Junior, J. D Costa ; Ferreira, D.D. ; Nadal, J. ; De Sá, A. M F L Miranda
Author_Institution :
Biomed. Eng. Program, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
The aim of this work was to reduce ECG artifacts from surface electromyogram (EMG) signals collected from lumbar muscles with the blind source separation technique based on independent component analysis (ICA). Using four EMG signals collected above erector spinal lumbar muscles from 27 subjects, the proposed method fail in separating the sources. However, when considering a single channel of EMG and the same one time-shifted by one sample, the FastICA allowed reducing the signal to ECG noise ratio.
Keywords :
blind source separation; electrocardiography; electromyography; independent component analysis; medical signal processing; ECG artifact reduction; FastICA; blind source separation; electrocardiography; erector spinal lumbar muscles; independent component analysis; signal to ECG noise ratio; surface electromyogram signals; Contamination; Electrocardiography; Electromyography; Independent component analysis; Muscles; Signal processing algorithms; Signal to noise ratio; Adult; Algorithms; Artifacts; Back; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electrocardiography; Electromyography; Female; Humans; Male; Muscle, Skeletal; Principal Component Analysis; Reproducibility of Results; Sensitivity and Specificity; Young Adult;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626507
