Title : 
Dynamic filtration of high-frequency noise in ECG signal
         
        
            Author : 
Bortolan, Giovanni ; Christov, Ivaylo
         
        
            Author_Institution : 
Inst. of Biomed. Eng. ISIB, Padua, Italy
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computing in Cardiology Conference (CinC), 2014
         
        
        
            Print_ISBN : 
978-1-4799-4346-3