메뉴 건너뛰기




Volumn 19, Issue 4, 2009, Pages 731-739

Preprocessing effects in time-frequency distributions and spectral analysis of heart rate variability

Author keywords

Burg's periodogram; CWT; Detrending; Ectopic; HRV; IPFM; Periodogram; Spectrogram; Welch's periodogram

Indexed keywords

FREQUENCY ESTIMATION; HEART; SPECTROGRAPHS; SPECTRUM ANALYSIS;

EID: 67349224026     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2008.09.004     Document Type: Article
Times cited : (27)

References (27)
  • 1
    • 0029928495 scopus 로고    scopus 로고
    • Heart rate variability-Standards of measurement, physiological interpretation, and clinical use
    • Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability-Standards of measurement, physiological interpretation, and clinical use. Circulation 93 5 (1996) 1043-1065
    • (1996) Circulation , vol.93 , Issue.5 , pp. 1043-1065
  • 3
    • 0037342571 scopus 로고    scopus 로고
    • Analysis of heart rate variability in the presence of ectopic beats using the heart time signal
    • Mateo J., and Laguna P. Analysis of heart rate variability in the presence of ectopic beats using the heart time signal. IEEE Trans. Biomed. Eng. 50 3 (2003) 334-343
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , Issue.3 , pp. 334-343
    • Mateo, J.1    Laguna, P.2
  • 4
    • 30444449030 scopus 로고    scopus 로고
    • An efficient method for handling ectopic beats using the heart timing signal
    • Solem K., Laguna P., and Sörnmo L. An efficient method for handling ectopic beats using the heart timing signal. IEEE Trans. Biomed. Eng. 53 1 (2006) 13-20
    • (2006) IEEE Trans. Biomed. Eng. , vol.53 , Issue.1 , pp. 13-20
    • Solem, K.1    Laguna, P.2    Sörnmo, L.3
  • 5
    • 20444408008 scopus 로고    scopus 로고
    • Analysis of cardiac health using fractal dimension and wavelet transformation
    • Acharya R., Subbana Bhat P., Kannathal N., Rao A., and Min Lim C. Analysis of cardiac health using fractal dimension and wavelet transformation. ITBM-RBM 26 2 (2005) 133-139
    • (2005) ITBM-RBM , vol.26 , Issue.2 , pp. 133-139
    • Acharya, R.1    Subbana Bhat, P.2    Kannathal, N.3    Rao, A.4    Min Lim, C.5
  • 6
    • 34247210831 scopus 로고    scopus 로고
    • Time-frequency analysis of heart rate variability for neonatal seizure detection
    • Article ID:50396, 10 pages
    • Malarvili M.B., Mesbah M., and Boashash B. Time-frequency analysis of heart rate variability for neonatal seizure detection. EURASIP J. Adv. Signal Process. 2007 (2007) Article ID:50396, 10 pages
    • (2007) EURASIP J. Adv. Signal Process. , vol.2007
    • Malarvili, M.B.1    Mesbah, M.2    Boashash, B.3
  • 7
    • 67349107803 scopus 로고    scopus 로고
    • Signal Processing Toolbox for use with MATLAB, version 6, MathWorks, Inc
    • Signal Processing Toolbox for use with MATLAB, version 6, MathWorks, Inc
  • 8
    • 41549102581 scopus 로고    scopus 로고
    • Analysis of EEG signals during epileptic and alcoholic states using AR modeling techniques
    • Faust O., Acharya R.U., Allen A.R., and Lin C.M. Analysis of EEG signals during epileptic and alcoholic states using AR modeling techniques. ITBM-RBM 29 1 (2008) 44-52
    • (2008) ITBM-RBM , vol.29 , Issue.1 , pp. 44-52
    • Faust, O.1    Acharya, R.U.2    Allen, A.R.3    Lin, C.M.4
  • 9
    • 64049091923 scopus 로고    scopus 로고
    • Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 2006
    • Mietus J.E. Time-domain measures: From variance to pNNx. Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 2006. http://www.physionet.org/events./hrv-2006
    • Time-domain measures: From variance to pNNx
    • Mietus, J.E.1
  • 10
    • 11044222895 scopus 로고    scopus 로고
    • Impulse rejection filter for artifact removal in spectral analysis of biomedical signals
    • San Francisco, CA, USA
    • J. McNames, T. Thong, M. Aboy, Impulse rejection filter for artifact removal in spectral analysis of biomedical signals, in: Proc. 26th Annual Int. Conf. of the IEEE EMBS, San Francisco, CA, USA, 2004
    • (2004) Proc. 26th Annual Int. Conf. of the IEEE EMBS
    • McNames, J.1    Thong, T.2    Aboy, M.3
  • 11
    • 0026720677 scopus 로고
    • A nonstationary test for the spectral analysis of physiological of time series with an application to respiratory sinus arrhythmia
    • Weber E., Molenaar C., and van der Molen M. A nonstationary test for the spectral analysis of physiological of time series with an application to respiratory sinus arrhythmia. Psychophysiology 29 (1992) 55-65
    • (1992) Psychophysiology , vol.29 , pp. 55-65
    • Weber, E.1    Molenaar, C.2    van der Molen, M.3
  • 12
    • 0029090186 scopus 로고    scopus 로고
    • Time and frequency domain methods for heart rate variability analysis
    • Litvack D., Oberlander T., Carney L., and Saul J. Time and frequency domain methods for heart rate variability analysis. Psychophysiology 32 (2007) 492-504
    • (2007) Psychophysiology , vol.32 , pp. 492-504
    • Litvack, D.1    Oberlander, T.2    Carney, L.3    Saul, J.4
  • 13
    • 0032216160 scopus 로고    scopus 로고
    • A method for assessment and processing of biomedical signals containing trend a periodic components
    • Mitov I. A method for assessment and processing of biomedical signals containing trend a periodic components. Med. Eng. Phys. 20 9 (1998) 660-668
    • (1998) Med. Eng. Phys. , vol.20 , Issue.9 , pp. 660-668
    • Mitov, I.1
  • 16
    • 0035544011 scopus 로고    scopus 로고
    • Time-frequency analysis of heart rate variability during transient segments
    • Chang H.L., Huang H.H., and L Lin J. Time-frequency analysis of heart rate variability during transient segments. Ann. Biomed. Eng. 29 (2001) 983-996
    • (2001) Ann. Biomed. Eng. , vol.29 , pp. 983-996
    • Chang, H.L.1    Huang, H.H.2    L Lin, J.3
  • 17
    • 1542375476 scopus 로고    scopus 로고
    • Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability
    • Tsipouras M.G., and Fotiadis D.I. Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability. Comput. Methods Programs Biomed. 74 2 (2004) 95-108
    • (2004) Comput. Methods Programs Biomed. , vol.74 , Issue.2 , pp. 95-108
    • Tsipouras, M.G.1    Fotiadis, D.I.2
  • 20
    • 84908144695 scopus 로고
    • The use of fast Fourier transform for estimation of power spectra: A method based on time averaging over short, modified periodograms
    • Welch P.D. The use of fast Fourier transform for estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 15 2 (1967) 70-73
    • (1967) IEEE Trans. Audio Electroacoust. , vol.15 , Issue.2 , pp. 70-73
    • Welch, P.D.1
  • 21
    • 1542712603 scopus 로고    scopus 로고
    • Application of classical and model-based spectral methods to aphthalmic arterial Doppler signals with Uveitis disease
    • Guler I., and Ubeyli E.D. Application of classical and model-based spectral methods to aphthalmic arterial Doppler signals with Uveitis disease. Comput. Biol. Med. 33 (2003) 455-471
    • (2003) Comput. Biol. Med. , vol.33 , pp. 455-471
    • Guler, I.1    Ubeyli, E.D.2
  • 22
    • 67349098629 scopus 로고    scopus 로고
    • J.P. Burg, A New Analysis Technique for Time-Series Data, NATO Advanced Study Institute on Signal Processing with Emphasis on Underwater Acoustics, August 12-23, 1968. Reprinted in Modern Spectrum Analysis, D.G. Childers, ed., IEEE Press, New York, 1968
    • J.P. Burg, A New Analysis Technique for Time-Series Data, NATO Advanced Study Institute on Signal Processing with Emphasis on Underwater Acoustics, August 12-23, 1968. Reprinted in Modern Spectrum Analysis, D.G. Childers, ed., IEEE Press, New York, 1968
  • 25
    • 84942737910 scopus 로고
    • Fitting autoregressive models for prediction
    • Akaike H. Fitting autoregressive models for prediction. Ann. Inst. Statist. Math. 21 (1969) 243-247
    • (1969) Ann. Inst. Statist. Math. , vol.21 , pp. 243-247
    • Akaike, H.1
  • 26
    • 0016355478 scopus 로고
    • A new look at statistical model identification
    • Akaike H. A new look at statistical model identification. IEEE Trans. Automat. Control 19 (1974) 716-723
    • (1974) IEEE Trans. Automat. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 27
    • 67349266783 scopus 로고    scopus 로고
    • http://www.physionet.org/physiobank/database/mvtdb/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.