메뉴 건너뛰기




Volumn 13, Issue 4, 2014, Pages

Segmentation of ECG from surface EMG using DWT and EMD: A comparison study

Author keywords

ECG; EMD; MSE; SEMG; SNR; Wavelet

Indexed keywords


EID: 84908647261     PISSN: 02194775     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219477514500308     Document Type: Article
Times cited : (3)

References (22)
  • 1
    • 0036166846 scopus 로고    scopus 로고
    • Sampling, noise-reduction and amplitude estimation issues in surface electromyography
    • E. A. Clancy, E. L. Morin and R. Merletti, Sampling, noise-reduction and amplitude estimation issues in surface electromyography, J. Electromyogr. Kinsiol. 12 (2002) 1-16.
    • (2002) J. Electromyogr. Kinsiol , vol.12 , pp. 1-16
    • Clancy, E.A.1    Morin, E.L.2    Merletti, R.3
  • 2
    • 0027459844 scopus 로고
    • High-pass filtering to remove electrocardiographic interference from torso emg recordings
    • M. S. Redfern, R. E. Hughes and D. B. Chaffin, High-pass filtering to remove electrocardiographic interference from torso EMG recordings, Clin. Biomech. 8 (1993) 44-48.
    • (1993) Clin. Biomech , vol.8 , pp. 44-48
    • Redfern, M.S.1    Hughes, R.E.2    Chaffin, D.B.3
  • 3
    • 31544456329 scopus 로고    scopus 로고
    • Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques
    • J. D. M. Drake and J. P. Callaghan, Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques, J. Electromyogr. Kinsiol. 16 (2006) 175-187.
    • (2006) J. Electromyogr. Kinsiol , vol.16 , pp. 175-187
    • Drake, J.D.M.1    Callaghan, J.P.2
  • 4
    • 0020546083 scopus 로고
    • Subtraction of electrocardiographic signal from respiratory electromyogram
    • R. Bloch, Subtraction of electrocardiographic signal from respiratory electromyogram, J. Appl. Physiol. 55 (1983) 619-623.
    • (1983) J. Appl. Physiol , vol.55 , pp. 619-623
    • Bloch, R.1
  • 5
    • 0034283148 scopus 로고    scopus 로고
    • New aspects to event-synchronous cancellation of ecg interference: An application of the method in diaphragmatic emg signals
    • Y. Deng, W. Wolf and R. Schnell, New aspects to event-synchronous cancellation of ECG interference: An application of the method in diaphragmatic EMG signals, IEEE Trans. Biomed. Eng. 47 (2000) 1177-1184.
    • (2000) IEEE Trans. Biomed. Eng , vol.47 , pp. 1177-1184
    • Deng, Y.1    Wolf, W.2    Schnell, R.3
  • 6
    • 0030025237 scopus 로고    scopus 로고
    • Description and validation of a technique for the removal of ecg contamination from diaphragmatic emg signal
    • A. Bartolo, R. R. Dzwonczyk, C. Roberts and E. Goldman, Description and validation of a technique for the removal of ECG contamination from diaphragmatic EMG signal, Med. Biol. Eng. Comput. 34 (1996) 76-81.
    • (1996) Med. Biol. Eng. Comput , vol.34 , pp. 76-81
    • Bartolo, A.1    Dzwonczyk, R.R.2    Roberts, C.3    Goldman, E.4
  • 7
    • 33846097305 scopus 로고    scopus 로고
    • Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation
    • P. Zhou and T. A. Kuiken, Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation, Physiol. Meas. 27 (2006) 1311-1327.
    • (2006) Physiol. Meas , vol.27 , pp. 1311-1327
    • Zhou, P.1    Kuiken, T.A.2
  • 9
    • 84875108035 scopus 로고    scopus 로고
    • Scrutinizing different techniques for artifact removal from eeg signals
    • G. Getha and S. N. Gethalakshi, Scrutinizing different techniques for artifact removal from EEG signals, Int. J. Eng. Sci. Tech. 3 (2011) 1167-1172.
    • (2011) Int. J. Eng. Sci. Tech , vol.3 , pp. 1167-1172
    • Getha, G.1    Gethalakshi, S.N.2
  • 10
    • 13844322279 scopus 로고    scopus 로고
    • ECG baseline wander and powerline interference reduction using nonlinear filter bank
    • J. M. Leski and N. Henzel, ECG baseline wander and powerline interference reduction using nonlinear filter bank, Signal Process. 85 (2005) 781-793.
    • (2005) Signal Process , vol.85 , pp. 781-793
    • Leski, J.M.1    Henzel, N.2
  • 11
    • 2942720395 scopus 로고    scopus 로고
    • Removal of ocular artifacts from electroencephalogram by adaptive filtering
    • P. He, G. Wilson and C. Russell, Removal of ocular artifacts from electroencephalogram by adaptive filtering, Med. Biol. Eng. Comput. 42 (2004) 407-412.
    • (2004) Med. Biol. Eng. Comput , vol.42 , pp. 407-412
    • He, P.1    Wilson, G.2    Russell, C.3
  • 12
    • 75749108283 scopus 로고    scopus 로고
    • Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: A comparison
    • J. Gao, H. Sultan, J. Hu and W. Tung, Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: A comparison, IEEE Signal Process. Lett. 17 (2010) 237-240.
    • (2010) IEEE Signal Process. Lett , vol.17 , pp. 237-240
    • Gao, J.1    Sultan, H.2    Hu, J.3    Tung, W.4
  • 13
    • 84894092192 scopus 로고    scopus 로고
    • Automated detection of driver fatigue based on entropy and complexity measures
    • C. Zhang, H. Wang and F. U. Rongrong Fu, Automated detection of driver fatigue based on entropy and complexity measures, IEEE Trans. Intell. Transport. Syst. 15 (2014) 168-177.
    • (2014) IEEE Trans. Intell. Transport. Syst , vol.15 , pp. 168-177
    • Zhang, C.1    Wang, H.2    Rongrong Fu, F.U.3
  • 14
    • 34547573516 scopus 로고    scopus 로고
    • Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection
    • S. Ghosh-Dastidar, Adeli, Hojjat and N. Dadmehr, Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection, IEEE Trans. Biomed. Eng. 54 (2007) 1545-1551.
    • (2007) IEEE Trans. Biomed. Eng , vol.54 , pp. 1545-1551
    • Ghosh-Dastidar, S.1    Hojjat, A.2    Dadmehr, N.3
  • 17
    • 70349782789 scopus 로고    scopus 로고
    • The application of empirical mode decomposition for the enhancement of cardiotocograph signals
    • B. N. Krupa, M. A. Mohd Ali and E. Zahedi, The application of empirical mode decomposition for the enhancement of cardiotocograph signals, Physiol. Measurment 30 (2009) 729-743.
    • (2009) Physiol. Measurment , vol.30 , pp. 729-743
    • Krupa, B.N.1    Mohd Ali, M.A.2    Zahedi, E.3
  • 18
    • 79959973300 scopus 로고    scopus 로고
    • Prediction model for the number of intrinsic mode functions in biomedical signals: The case of electrocardiogram
    • A. Karagiannis and P. A. Constantinou, Prediction model for the number of intrinsic mode functions in biomedical signals: The case of electrocardiogram, Biomedical Signal Processing and Control 6 (2011) 231-243.
    • (2011) Biomedical Signal Processing and Control , vol.6 , pp. 231-243
    • Karagiannis, A.1    Constantinou, P.A.2
  • 19
    • 70349568700 scopus 로고    scopus 로고
    • Enhanced rhythm extraction using blind source separation and wavelet transform
    • S.-C. Ng and P. Raveendran, Enhanced rhythm extraction using blind source separation and wavelet transform, IEEE Trans. Biomed. Eng. 56 (2009) 2024-2034.
    • (2009) IEEE Trans. Biomed. Eng , vol.56 , pp. 2024-2034
    • Ng, S.-C.1    Raveendran, P.2
  • 20
    • 84876128026 scopus 로고    scopus 로고
    • Filtering of surface emg using ensemble empirical mode decomposition
    • X. Zhang and P. Zhou, Filtering of surface EMG using ensemble empirical mode decomposition, Medi. Eng. Phys. 35 (2013) 537-542.
    • (2013) Medi. Eng. Phys , vol.35 , pp. 537-542
    • Zhang, X.1    Zhou, P.2
  • 22
    • 65349124240 scopus 로고    scopus 로고
    • Denoising by averaging reconstructed images: Application to magnetic resonance images
    • J. Luo, Y. Zhu and I. E. Magnin, Denoising by averaging reconstructed images: Application to magnetic resonance images, IEEE Trans. Biomed. Eng. 56 (2009) 1177-1184.
    • (2009) IEEE Trans. Biomed. Eng , vol.56 , pp. 1177-1184
    • Luo, J.1    Zhu, Y.2    Magnin, I.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.