سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Comparison of Different Electrocardiogram Signal Power Line Denoising Methods based on SNR Improvement

Publish Year: 1391
Type: Conference paper
Language: English
View: 1,066

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دانلود نمایند.

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:

Document National Code:

ICBME19_056

Index date: 29 January 2014

Comparison of Different Electrocardiogram Signal Power Line Denoising Methods based on SNR Improvement abstract

In order to access to an accurate detection of electrocardiogram signal in medical approaches especially mobile health and wearable medical devices, development of noise cancellation algorithms seems essential. In this study, the power line noise in ECG signal is filtered using several methods including DFT based, IIR, FIR, adaptive, Kalman, Wavelet and higher order statistics filters. Signal-to-noise ratio (SNR) improvements of the filters are then compared. It is found that FIR and IIR filtering show higher SNR improvement.

Comparison of Different Electrocardiogram Signal Power Line Denoising Methods based on SNR Improvement Keywords:

Comparison of Different Electrocardiogram Signal Power Line Denoising Methods based on SNR Improvement authors

Mina Amiri

Department of Electrical Engineering, Sharif University of Technology

Maryam Afzali

Department of Electrical Engineering, Sharif University of Technology

Bijan Vosoughi Vahdat

Department of Electrical Engineering, Sharif University of Technology