removing ecg artifact from the surface emg signal using adaptive subtraction technique
نویسندگان
چکیده
background: the electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. objective: removing electrocardiogram contamination from electromyogram signals. methods: in this paper, the clean electromyogram signal, electrocardiogram artifact and electrocardiogram signal were recorded from leg muscles, the pectoralis major muscle of the left side and v4, respectively. after the pre-processing, contaminated electromyogram signal is simulated with a combination of clean electromyogram and electrocardiogram artifact. then, contaminated electromyogram is cleaned using adaptive subtraction method. this method contains some steps; (1) qrs detection, (2) formation of electrocardiogram template by averaging the electrocardiogram complexes, (3) using low pass filter to remove undesirable artifacts, (4) subtraction. results: performance of our method is evaluated using qualitative criteria, power spectrum density and coherence and quantitative criteria signal to noise ratio, relative error and cross correlation. the result of signal to noise ratio, relative error and cross correlation is equal to 10.493, 0.04 and %97 respectively. finally, there is a comparison between proposed method and some existing methods. conclusion: the result indicates that adaptive subtraction method is somewhat effective to remove electrocardiogram artifact from contaminated electromyogram signal and has an acceptable result.
منابع مشابه
Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique
Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...
متن کاملRemoving ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique
BACKGROUND The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. Objective : Removing electrocardiogram contamination from electromyogram signals. METHODS In this paper, the clean electromyogram signal, electrocardiogram artifact an...
متن کاملcorrigendum to: “removing ecg artifact from the surface emg signal using adaptive subtraction technique” published in j biomed phys eng 2014; 4(1):31-38
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متن کاملCorrigendum to: “Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique†published in J Biomed Phys Eng 2014; 4(1):31-38
متن کامل
Corrigendum to: “Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique” published in J Biomed Phys Eng 2014; 4(1):31-38
متن کامل
ECG Artifact Removal from Surface EMG Using Adaptive filter Algorithm
The electrocardiography (ECG) artifact corrupts the surface electromyography (sEMG) signals recorded from the trunk area We assessed the effectiveness of three methods used to remove the ECG. We compared the performance of bandpass filtering methods, the commonly used mathematical morphology operator (MMO) method and the Adaptive filter on both simulationed and real sEMG data. False positive an...
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عنوان ژورنال:
journal of biomedical physics and engineeringجلد ۴، شماره ۱ Mar، صفحات ۰-۰
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