Approach for Cardiac Action Potential Detection from Noised Recordings
| Autor: | M. Ivanushkina, Yuriy Prokopenko, Alberto Redaelli, Kateryna Ivanko, V. Timofeyev, Nataliia Ivanushkina |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Signal processing Basis (linear algebra) Noise (signal processing) Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Wavelet transform Pattern recognition Cardiac action potential 030204 cardiovascular system & hematology Pink noise 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Wavelet Artificial intelligence business Eigenvalues and eigenvectors |
| Zdroj: | 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO). |
| Popis: | The morphology of action potential (AP) is a key element in the determination of normal or pathological processes in the cardiac cells and the diagnosis of heart diseases. Therefore obtaining useful information about the shape of AP pulses minimizing the noise contribution is an important task of signal processing to improve the diagnosis process. In this paper a method to detect the APs of cardiomyocytes is proposed, based on wavelet transform, decomposition and reconstruction in eigenvectors basis of cardiac cycles. The parallel conductance model is used to simulate the cardiac AP and ion currents taking into account white or pink noise. Numerical experiments demonstrate the performance of the AP detection for various signal-to-noise ratio (SNR). The proposed method can be used to obtain undistorted AP morphologies in order to interpret experimental studying of APs functional properties in cardiomyocytes by means of lab-on-chip technologies. |
| Databáze: | OpenAIRE |
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