Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101469
Title: Phase Mapping for Cardiac Unipolar Electrograms with Neural Network Instead of Phase Transformation
Authors: Ushenin, K.
Nesterova, T.
Smarko, D.
Sholokhov, V.
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Phase Mapping for Cardiac Unipolar Electrograms with Neural Network Instead of Phase Transformation / K. Ushenin, T. Nesterova, D. Smarko, et al. — DOI 10.1109/USBEREIT48449.2020.9117627 // Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. — 2020. — P. 117-120. — 9117627.
Abstract: A phase mapping is an approach to processing signals of electrograms that are recorded from the surface of cardiac tissue. The main concept of the phase mapping is an application of the phase transformation with the aim to obtain signals with useful properties. In our study, we propose to use a simple sawtooth signal instead of a phase of a signal for processing of electrogram data and building of the phase maps. We denote transformation that can provide this signal as a phase-like transformation (PLT). PLT defined via a convolutional neural network that is trained on a dataset from computer models of cardiac tissue electrophysiology. The proposed approaches were validated on data from the detailed personalized model of the human torso electrophysiology. This paper includes visualization of the phase map based on PLT and shows the applicability of the proposed approaches in the analysis of the complex non-stationary periodic activity of the excitable cardiac tissue. © 2020 IEEE.
Keywords: CARDIAC MAPPING
CARDIOLOGY
CONVOLUTIONAL NEURAL NETWORK
DIGITAL SIGNAL PROCESSING
ELECTROPHYSIOLOGICAL STUDY
NEURAL NETWORK
PHASE MAPPING
UNIPOLAR ELECTROGRAM
BIOMEDICAL ENGINEERING
CONVOLUTIONAL NEURAL NETWORKS
DATA HANDLING
ELECTROPHYSIOLOGY
MAPPING
NEUROLOGY
PHASE TRANSITIONS
TISSUE
CARDIAC TISSUES
COMPUTER MODELS
PERIODIC ACTIVITY
PERSONALIZED MODEL
PHASE MAPPINGS
PROCESSING SIGNAL
SAW-TOOTH SIGNALS
USEFUL PROPERTIES
HEART
URI: http://hdl.handle.net/10995/101469
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85089683361
PURE ID: 13665027
806a9a7b-1b15-4fc7-b348-f49b6706a770
ISBN: 9781728131658
DOI: 10.1109/USBEREIT48449.2020.9117627
metadata.dc.description.sponsorship: The reported study was funded by RFBR, according to the research project No. 18-31-00401. Development of the mathematical models is supported by IIF UrB RAS theme №AAAA-A19-119070190064-4, RF Government Act №211 of March 16, 2013, the Program of the Presidium RAS.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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