An ECG Signal Enhancement Based on Improved EMD
Electrocardiogram(ECG)is an important biological signal to diagnose cardiac arrhythmia.The P wave is the combined result of the action potentials of the atrial muscle units,while the QRS and T waves are formed by the spatio-temporal summation of the action potentials of the ventricular muscle units.However,ECG signals are often corrupted by various noise,such as muscle noise,baselines wander and power-line interference.Therefore,ECG noise reduction is an important issue and has been studied for many years.A common encountered in ECG de-nosing systems is the removal of unwanted disturbances,i.e.,a low-pass filter was designed to remove the high-frequency noise,and a high-pass filter was designed to remove the low-frequency noise.These filter banks based denoising process smooth the P and R amplitude of ECG signal and it is less robust to different levels of noise.Comparatively,the empirical mode decomposition(EMD)based on the decomposition of data into a collection of intrinsic mode function(IMF)was investigated to improve the ECG signals.In this study,we proposed an adaptive method to select the IMF index for separating the noise components from the ECG signal.The performance of the proposed method is evaluated in terms of standard metrics by performing extensive simulations using the MIT-BIH arrhythmia database.The results show improvements of ECG signals at different levels of SNR.Moreover,the low frequency noise components are separated by a partial reconstruction from the IMFs and still preserve the QRS
Mei-Lin Su Keh-Shih Chuang
Department of Communication Engineering Oriental Institute of Technology,Taiwan Department of Biomedical Engineering & Environmental Sciences National Tsing-Hua University,Taiwan
国际会议
Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)
台北
英文
940-943
2013-03-01（万方平台首次上网日期，不代表论文的发表时间）