Classification of arrhythmia using machine learning techniques
R Saboori, AW Salehi, P Vaidya, G Gupta - Innovations in Information and …, 2021 - Springer
Arrhythmia and heart problems are one of the most important health problems in the whole
world which leads to various other severe complications, for example, heart attack. As …
world which leads to various other severe complications, for example, heart attack. As …
[HTML][HTML] Artificial intelligence versus doctors' intelligence: a glance on machine learning benefaction in electrocardiography
V Ponomariov, L Chirila, FM Apipie, R Abate, M Rusu… - Discoveries, 2017 - ncbi.nlm.nih.gov
Computational machine learning, especially self-enhancing algorithms, prove remarkable
effectiveness in applications, including cardiovascular medicine. This review summarizes …
effectiveness in applications, including cardiovascular medicine. This review summarizes …
[PDF][PDF] 养心定悸胶囊联合美托洛尔治疗冠心病心律失常疗效观察
高立威 - 中医学报, 2018 - sjzzyy.com
目的: 观察养心定悸胶囊联合美托洛尔治疗冠心病心律失常的临床疗效. 方法: 将112
例冠心病心律失常的患者按照随机数表法分为研究组和对照组, 每组56 例. 研究组给予养心定悸 …
例冠心病心律失常的患者按照随机数表法分为研究组和对照组, 每组56 例. 研究组给予养心定悸 …
Cell-to-cell mathematical modeling of arrhythmia phenomena in the heart
GL Garza, AN Mata, GR Alonso, JRG Fernandez… - … and Computers in …, 2022 - Elsevier
In this work, we investigate deterministic mechanisms that generate and perpetuate flutter
and fibrillation in the right atrium of the human heart using mathematical models and high …
and fibrillation in the right atrium of the human heart using mathematical models and high …
Cell-to-cell Mathematical modeling of arrhythmia phenomena in excitable media
GL Garza - bioRxiv, 2019 - biorxiv.org
In this document are modeled arrhythmias with cellular automaton and ordinary differential
equations systems. With an aperiodic, self-similar distribution of two-dimensional …
equations systems. With an aperiodic, self-similar distribution of two-dimensional …