T-Wave Detection Based on an Adjusted Wavelet Transform Modulus Maxima
Autor: | Krimi, Samar, Kaïs Ouni, Noureddine Ellouze |
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Jazyk: | angličtina |
Rok vydání: | 2007 |
Předmět: | |
DOI: | 10.5281/zenodo.1082147 |
Popis: | The method described in this paper deals with the problems of T-wave detection in an ECG. Determining the position of a T-wave is complicated due to the low amplitude, the ambiguous and changing form of the complex. A wavelet transform approach handles these complications therefore a method based on this concept was developed. In this way we developed a detection method that is able to detect T-waves with a sensitivity of 93% and a correct-detection ratio of 93% even with a serious amount of baseline drift and noise. {"references":["Pastore, J.M., S.D. Girouard, K.R. Laurita, F.G. Akar and D.S.\nRosenbaum (1999). Mechanisms linking T wave alternans to the genesis\nof cardiac fibrillation. Circulation, 99(10), 1385-","S. Mallat. Multiresolution approximations and wavelet orthonormal\nbases of L2. 1989","C. Li, C. Zheng, and C. Tai. Detection of ECG characteristic points\nusing wavelet transform. IEEE Transactions on Biomedical\nEngineering, vol.52, no.1, 1995.","R. Almeida, J.P. Martinez, S. Olmos, A.P. Rocha and P. Laguna. A\nwavelet-based ECG delineator: Evaluation on standard databases. IEEE\nTransactions on Biomedical Engineering, vol.51, no.4, 2004.","S. Mallat. Zero-crossings of a wavelet transform. IEEE Transactions\non Information Theory, vol.37, 1991.","S. Mallat and W.L. Hwang. Singularity detection and processing with\nWavelets. IEEE Transactions on Information Theory, vol.38, no.2, 1992.","I. Provaznik. Wavelet analysis for signal detection - application to\nexperimental cardiology research. 2001","G.B. Moody and R.G. Mark. The impact of the MIT-BIH arrhythmia\ndatabase. IEEE Engineering in Medicine and Biology Magazine, vol.\n20, no. 3, 2001.","B.U. Kohler, C. Hennig, and R. Orglmeister. The principles of software\nQRS detection. IEEE Eng Med Biol Mag., vol.21, no.1, 2002.\n[10] Vila, J., Gang, Y., Presedo, J., Fern_andez-Delgado, M., Barro, S., and\nMalik, M. (2000). A new approach for TU complex characterization.\nIEEE Trans. on Biomedical Engineering, 47(6):764{772.\n[11] Schuartz, P. J. and Wolf, S. (1978). T interval prolongation as predictor\nof sudden death in patients with myocardial infarction. Circulation,\n57:1074-1079."]} |
Databáze: | OpenAIRE |
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