Kurtosis-based noise estimation and multiscale energy to denoise ECG signal

被引：10
|
作者：
Sharma, L. N. [1 ]
Dandapat, S. [1 ]
Mahanta, A. [2 ]
机构：
[1] Indian Inst Technol Guwahati, Dept Elect & Commun Engn, Electromed & Speech Technol Lab, Gauhati 781039, India
[2] Indian Inst Technol Guwahati, Dept Elect & Commun Engn, Gauhati 781039, India
来源：
SIGNAL IMAGE AND VIDEO PROCESSING | 2013年 / 7卷 / 02期
关键词：
ECG; Denoising; MAD; Kurtosis; PRD; WEDD; WAVELET; COMPRESSION;
D O I：
10.1007/s11760-011-0227-7
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this work, a novel wavelet-based denoising method for electrocardiogram signal is proposed. A threshold is derived by considering energy contribution of a wavelet subband, noise variance which is based on a novel Gaussian measure, Kurtosis, and number of samples. The robust noise estimator, median absolute deviation, is scaled by a normalized wavelet subband Kurtosis instead of conventional statistical quantile function for Gaussian distribution. Signal distortion is evaluated using percentage root mean square difference (PRD), wavelet weighted percentage root mean square difference (WWPRD), and wavelet energy-based diagnostic distortion (WEDD) measures. The results are compared with existing standard thresholding methods. The lowest PRD, WWPRD, and WEDD values are achieved as 9.523, 17.743, and 4.000% for lead-V2, lead-V3, and lead-II signal, respectively. For validation, spatially nonhomogeneous functions like Blocks, Bumps, HeaviSine, and Doppler with noise are evaluated.
引用
收藏
页码：235 / 245
页数：11
相关论文
共 50 条
  • [21] Automatic detection of bioacoustics impulses based on kurtosis under weak signal to noise ratio
    Gervaise, C.
    Barazzutti, A.
    Busson, S.
    Simard, Y.
    Roy, N.
    APPLIED ACOUSTICS, 2010, 71 (11) : 1020 - 1026
  • [22] Research of removing noise in ECG signal based on morphology and lifting wavelet
    Zhang, Lei-Lei
    Sun, Peng
    Lin, Jin-Chao
    Luo, Zhi-Yong
    Li, Guo-Quan
    Pang, Yu
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2015, 35 : 92 - 95
  • [23] MULTISCALE BSBL COMPRESSED SENSING-BASED ECG SIGNAL COMPRESSION WITH ENCODING FOR TELEMEDICINE
    Surekha, K. S.
    Patil, B. P.
    Kumar, Ranjeet
    Sharma, Davinder Pal
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2021, 33 (05):
  • [24] Shannon's Energy Based Algorithm in ECG Signal Processing
    Beyramienanlou, Hamed
    Lotfivand, Nasser
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2017, 2017
  • [25] Cumulant Based Teager Energy Operator for ECG Signal Modeling
    Sharmila, V.
    Krishna, E. Hari
    Reddy, K. Ashoka
    2013 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2013, : 1959 - 1963
  • [26] Speech enhancement based on a priori signal to noise estimation
    Scalart, P
    Vieira, J
    1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 629 - 632
  • [27] Weighted kurtosis-based VMD and improved frequency-weighted energy operator low-speed bearing-fault diagnosis
    Song, Xuewei
    Wang, Hongfeng
    Chen, Peng
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (03)
  • [28] Multiscale energy based suitable wavelet selection for detection of myocardial infarction in ECG
    Swain, Sushree Satvatee
    Patra, Dipti
    HEALTHCARE TECHNOLOGY LETTERS, 2019, 6 (01) : 1 - 7
  • [29] Unsupervised Ship Detection for Single-Channel SAR Images Based on Multiscale Saliency and Complex Signal Kurtosis
    Wang, Zhaocheng
    Wang, Ruonan
    Fu, Xiaoya
    Xia, Kewen
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [30] Denoising of ECG Signal Based on Empirical Mode Decomposition and Adaptive Noise Cancellation
    Yang, Rendi
    Zhang, Yanli
    ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 140 - +
12345