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A novel approach to ECG signal analysis using higher-order spectrum

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Thinkquest~2010
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Abstract

In practice, many medical signals show significant nonlinear and non-Gaussian characteristics, such as presence of non-Linear effects of phase coupling among the signal frequency components. The methods based on spectral analysis fail to properly deal with the nonlinearity and non-Gaussianility of the process but HOS allows us to effectively process this kind of signals to obtain their higher-order statistics. Bispectral estimation has been shown to be a very useful tool for extracting the degree of quadratic phase coupling ( QPC) between individual frequency components of the process.

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Gore, S.N., Ingole, D.T. (2011). A novel approach to ECG signal analysis using higher-order spectrum. In: Pise, S.J. (eds) Thinkquest~2010. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-989-4_28

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  • DOI: https://doi.org/10.1007/978-81-8489-989-4_28

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-8489-988-7

  • Online ISBN: 978-81-8489-989-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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