A Novel Single Lead to 12-Lead ECG Reconstruction Methodology Using Convolutional Neural Networks and LSTM-Reference-Cited by-同舟云学术

A Novel Single Lead to 12-Lead ECG Reconstruction Methodology Using Convolutional Neural Networks and LSTM

Published:2022-03-01 Issue: Volume: Page:
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Container-title:2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)
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Author:

Gundlapalle Vishnuvardhan¹,Acharyya Amit¹

Affiliation:

1. IIT,Department of Electrical Engineering,Hyderabad,Telangana,India,502285

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9789038/9789039/09789045.pdf?arnumber=9789045

Reference22 articles.

1. On designing and testing transformations for derivation of standard 12-lead/18-lead electrocardiograms and vector cardiograms from reduced sets of predictor leads;horacekbmen wangjj;J Electrocardiol,2008

2. Reduced lead system selection methodology for reliable standard 12-lead reconstruction targeting personalised remote health monitoring applications

3. Robust and accurate personalised reconstruction of standard 12-lead system from Frank vectorcardiographic system

4. Personalized Reduced 3-Lead System formation methodology for Remote Health Monitoring Applications and Reconstruction of Standard 12-Lead system;maheswari;Translational Cardiology International Archives of Medicine,2015

5. Frank vectorcardiographic system from standard 12 lead ECG: An effort to enhance cardiovascular diagnosis

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