A Combination Method for Electrocardiogram Rejection from Surface Electromyogram
نویسندگان
چکیده
The electrocardiogram signal which represents the electrical activity of the heart provides interference in the recording of the electromyogram signal, when the electromyogram signal is recorded from muscles close to the heart. Therefore, due to impurities, electromyogram signals recorded from this area cannot be used. In this paper, a new method was developed using a combination of artificial neural network and wavelet transform approaches, to eliminate the electrocardiogram artifact from electromyogram signals and improve results. For this purpose, contaminated signal is initially cleaned using the neural network. With this process, a large amount of noise can be removed. However, low-frequency noise components remain in the signal that can be removed using wavelet. Finally, the result of the proposed method is compared with other methods that were used in different papers to remove electrocardiogram from electromyogram. In this paper in order to compare methods, qualitative and quantitative criteria such as signal to noise ratio, relative error, power spectrum density and coherence have been investigated for evaluation and comparison. The results of signal to noise ratio and relative error are equal to 15.6015 and 0.0139, respectively.
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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عنوان ژورنال:
دوره 8 شماره
صفحات -
تاریخ انتشار 2014