[HTML][HTML] Machine learning for detecting atrial fibrillation from ecgs: Systematic review and meta-analysis
C Xie, Z Wang, C Yang, J Liu, H Liang - Reviews in Cardiovascular …, 2024 - imrpress.com
Background: Atrial fibrillation (AF) is a common arrhythmia that can result in adverse
cardiovascular outcomes but is often difficult to detect. The use of machine learning (ML) …
cardiovascular outcomes but is often difficult to detect. The use of machine learning (ML) …
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review
Cardiovascular diseases (CVD) are a leading cause of death globally, and result in
significant morbidity and reduced quality of life. The electrocardiogram (ECG) plays a crucial …
significant morbidity and reduced quality of life. The electrocardiogram (ECG) plays a crucial …
Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach
Abstract Aims Brugada syndrome (BrS) is an inherited disease associated with an increased
risk of ventricular arrhythmias. Recent studies have reported the presence of an altered atrial …
risk of ventricular arrhythmias. Recent studies have reported the presence of an altered atrial …
Artificial intelligence-driven intelligent learning models for identification and prediction of cardioneurological disorders: A comprehensive study
Abstract The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs)
in healthcare has transformed the field, offering precise diagnostics, remote monitoring …
in healthcare has transformed the field, offering precise diagnostics, remote monitoring …
自12 導程心電圖擷取P 波特徵辨識竇性心律下之心房顫動高風險病患
CY Hsiao - 2024 - ir.lib.ncu.edu.tw
摘要(中) 心房顫動(Atrial fibrillation, 簡稱AF) 是最常見的心律不整(arrhythmia),
許多患者因缺乏明顯症狀而未及時就診接受檢查與治療. 先前的研究顯示利用大型資料集建構的 …
許多患者因缺乏明顯症狀而未及時就診接受檢查與治療. 先前的研究顯示利用大型資料集建構的 …