title: Reducing electrocardiographic artifacts from electromyogram signals with independent component analysis.
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.
authors.affiliation: Biomedical Engineering Program, Federal University of Rio de Janeiro, P. O. Box 68510, ZIP 21941-972, Brazil. dilermando@peb.ufrj.br
authors.forename: J D
authors.initials: JD
authors.lastname: Costa Junior
authors.forename: D D
authors.initials: DD
authors.lastname: Ferreira
authors.forename: J
authors.initials: J
authors.lastname: Nadal
authors.forename: A L
authors.initials: AL
authors.lastname: Miranda de Sa
mesh_terms: D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001415:Back / Q000502:physiology; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D018482:Muscle, Skeletal / Q000502:physiology*; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult