A Method to Compute Electrical Activity of the Heart: Prediction and Analysis of Heart Diseases Using Novel Comma-Z Classifier and Gpu Framework-Reference-Cited by-同舟云学术

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A Method to Compute Electrical Activity of the Heart: Prediction and Analysis of Heart Diseases Using Novel Comma-Z Classifier and Gpu Framework

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Sinnapolu GiriBabu,Alawneh Shadi,Dixon Simon R.

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference37 articles.

1. Photoplethysmography based atrial fibrillation detection: a review;N T K G M M P D H D R J L R C K M & X H Pereira;Digital Medicine,2020

2. Incidence of sudden cardiac death after ventricular fibrillation complicating acute myocardial infarction: a 5-year cause-of-death analysis of the FAST-MI 2005 registry;E M E P P D D S C J;European Heart Journal,2014

3. Ventricular Septal Aneurysm: A Complication of Myocardial Infarction;M E L M E L Simon;Research Gate,2000

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Resnet and Bidirectional LSTM-Based Deep Learning Model for Cardiovascular Disease Detection Using PPG Signals;Journal of Machine and Computing;2023-07-05

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