Processing the Cardio Signals of Wavelet Function
Zainidinov Khakimzhon Nasiridinovich1, Sharibaev Nosir Yusupjanovich2, Juraev Sherzod Sobirjonovich3
1Zaynidinov H.N.*, Doctor of Technical Science, Head of the Department of Tashkent University of Information Technologies, Namangan, Uzbekistan.
2Sharibaev N. Yu. (DSc) Head of the Department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan.
3Juraev Sh. S. Assistant of the Department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 01, 2020. | Manuscript published on April 10, 2020. | PP: 2151-2153 | Volume-9 Issue-6, April 2020. | Retrieval Number: E1974039520/2020©BEIESP | DOI: 10.35940/ijitee.E1974.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A method for processing and analyzing ECG signals based on wavelet transform in an electrocardiography system is proposed. The ECG spectrum is arranged in a series of Gaussian delta functions. A method of vector representation of data in binary codes is proposed. This method allows you to detect minor changes in subsequent studies.
Keywords: ECG Signal, Wavelet Transform, Delta function, Series Expansion.
Scope of the Article: Digital Signal Processing Theory