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

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4598

Lastpage

4601

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626507

Filename

5626507