Electrocardiogram Signals Denoising Using Improved Variational Mode Decomposition
عنوان مقاله: Electrocardiogram Signals Denoising Using Improved Variational Mode Decomposition
شناسه ملی مقاله: JR_JMSI-11-2_004
منتشر شده در در سال 1400
شناسه ملی مقاله: JR_JMSI-11-2_004
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:
Vikas Malhotra - Department of Electronic and Communication Engineering, University School of Engineering and Technology, Rayat Bahra University, Mohali, Punjab
Mandeep Kaur Sandhu - Department of Electronic and Communication Engineering, University School of Engineering and Technology, Rayat Bahra University, Mohali, Punjab
خلاصه مقاله:
Vikas Malhotra - Department of Electronic and Communication Engineering, University School of Engineering and Technology, Rayat Bahra University, Mohali, Punjab
Mandeep Kaur Sandhu - Department of Electronic and Communication Engineering, University School of Engineering and Technology, Rayat Bahra University, Mohali, Punjab
Background: Electrocardiogram (ECG) plays a vital role in the analysis of heart activity. It can
be used to analyze the different heart diseases and mental stress assessment also. Various noises,
such as baseline wandering, muscle artifacts and power line interface disturbs the information
within the ECG signal. To acquire correct information from ECG signal, these noises should be
removed. Methods: In the proposed work, the improved variational mode decomposition (IVMD)
method for the removal of noise in ECG signals is used. In the proposed method, the weighted
signal amplitude integrated over the timeframe of the ECG signal varies the window size during
decomposition. Raw ECG data are extracted from ۱۰ subjects and ECG data are also taken from the
MIT BIH database for the proposed method. Results: The performance comparison of traditional
variational mode decomposition (VMD) and the proposed technique is also calculated using mean
square error, percentage root mean square difference, signal to noise ratio and correlation coefficient.
The extracted highest signal to noise ratio (SNR) value of acquired ECG signals using traditional
VMD is ۴۲db whereas highest value of signal to noise ratio (SNR) using improved VMD (IVMD)
is ۸۳db. Conclusion: The proposed IVMD technique represented better performance than traditional
VMD for denoising of ECG signals.
کلمات کلیدی: Denoising, electrocardiogram, variational mode decomposition
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1700126/