DocumentCode
3562324
Title
Dynamic filtration of high-frequency noise in ECG signal
Author
Bortolan, Giovanni ; Christov, Ivaylo
Author_Institution
Inst. of Biomed. Eng. ISIB, Padua, Italy
fYear
2014
Firstpage
1089
Lastpage
1092
Abstract
Electromyographic (EMG) noise is constantly present in stress test electrocardiographic recordings, due to physical exercise. The aim of the study is to investigate a filter that suppress sufficiently the EMG noise, with minimal distortion of high frequency content of the QRS complex. We studied 106 patients: age 63±10 years, 45 males. Digital 12-lead electrocardiograms (EC) were acquired during stress ECG test using veloergometer. Median recording duration of 7. 08 minutes and a mean number of 669 RR intervals. The considered EMG filter was tested. and the noise suppression out of QRS is at least 2.5 times higher than in QRS. A comparison with previous results in the same database for the analysis of QRS and T wave alternans. produced significant decrease of standard deviation of PCA index in QRS interval.
Keywords
biomechanics; electrocardiography; electromyography; filtering theory; medical signal processing; principal component analysis; signal denoising; ECG signal; EMG filter; EMG noise suppression; PCA index; QRS complex; RR intervals; T wave alternans; digital 12-lead electrocardiograms; dynamic filtration; electromyographic noise; high-frequency noise; physical exercise; principal component analysis; stress test electrocardiographic recordings; veloergometer; Abstracts; Databases; Electrocardiography; Lead; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7043236
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