Abstract:
The work investigates the continuous and discrete wavelet transform to determine the corresponding features of ECG signals with variable temporal and spatial components. ...Show MoreMetadata
Abstract:
The work investigates the continuous and discrete wavelet transform to determine the corresponding features of ECG signals with variable temporal and spatial components. Discrete wavelet transform is implement as a filter bank. The approximation and refinement of wavelet coefficients from different frequency sub-bands are used to eliminate high-frequency noise, compress the signals, and there classification. Continuous wavelet transform, presented in the form of a scale diagram, is using to analyse ECG signals and develop a predictive model.
Date of Conference: 25-29 February 2020
Date Added to IEEE Xplore: 07 May 2020
ISBN Information:
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Glushkov Institute of Cybernetics of NAS of Ukraine, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Glushkov Institute of Cybernetics of NAS of Ukraine, Kyiv, Ukraine