Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins

心脏病学 内科学 收缩(语法) 心电图 医学 房性早搏 心房颤动
作者
Jorge Sánchez,Inés Llorente-Lipe,Cristian Barrios Espinosa,Axel Loewe,Ismael Hernández‐Romero,Jorge Vicente-Puig,Santiago Ros,Felipe Atienza,Alejandro Carta‐Bergaz,Andreu M. Climent,María S. Guillem
出处
期刊:Computers in Biology and Medicine [Elsevier BV]
卷期号:190: 109994-109994 被引量:9
标识
DOI:10.1016/j.compbiomed.2025.109994
摘要

Premature ventricular contractions (PVCs) represent a common and clinically significant cardiac arrhythmia, contributing to a spectrum of cardiovascular disorders. Accurate localization of the origin of PVCs is essential for devising targeted therapeutic strategies and refining our comprehension of ventricular arrhythmogenesis. Traditionally, the 12-lead ECG has been the go-to diagnostic tool for PVCs. However, individual anatomical differences and inter-patient electrophysiology variability limit its effectiveness. This study presents a new method that combines electrocardiographic imaging (ECGI) with the concept of cardiac digital twins (ECGI-DT) to improve the accuracy of pinpointing the source of PVCs. By simulating a database of PVCs, we developed an ECGI-DT capable of estimating the origins of PVCs with much greater precision than possible previously. This study shows a notable improvement in identifying the initial site of PVC origin using ECGI-DT compared to ECGI alone: the average localization error dropped from 30.69 ± 23.71 mm with standard ECGI to 7.81 ± 3.82 mm using the ECGI-DT method. This marked reduction in error highlights the potential of ECGI-DT in revolutionizing PVC diagnosis and treatment. With its ability to provide more accurate and reliable data, ECGI-DT could improve the planning of catheter ablation treatments, a preferred intervention for managing PVCs that face challenges such as high costs and in some cases long procedure times.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
豆包完成签到,获得积分10
1秒前
2秒前
Jasper应助丫丫采纳,获得10
3秒前
科研通AI2S应助研友_惊鸿采纳,获得10
4秒前
6秒前
负责的调料汁完成签到,获得积分10
6秒前
7秒前
XPDHW发布了新的文献求助10
7秒前
ww发布了新的文献求助10
7秒前
科研通AI6.4应助研友_惊鸿采纳,获得10
8秒前
Liu完成签到,获得积分10
9秒前
10秒前
科研通AI6.4应助hhh采纳,获得10
10秒前
10秒前
10秒前
云淡风轻完成签到,获得积分10
11秒前
ZackChou关注了科研通微信公众号
12秒前
古月发布了新的文献求助30
12秒前
LXL发布了新的文献求助10
12秒前
科研通AI6.4应助研友_惊鸿采纳,获得10
14秒前
15秒前
浮山完成签到,获得积分10
15秒前
顺心抽屉完成签到 ,获得积分10
15秒前
jon158发布了新的文献求助10
15秒前
虚幻馒头完成签到,获得积分10
16秒前
lxj1472完成签到,获得积分10
16秒前
Aurora发布了新的文献求助10
17秒前
badgerwithfisher完成签到,获得积分10
17秒前
HKK完成签到,获得积分10
18秒前
桐桐应助研友_惊鸿采纳,获得10
19秒前
科研通AI6.4应助研友_惊鸿采纳,获得10
23秒前
搜集达人应助11采纳,获得10
23秒前
NexusExplorer应助flumenb采纳,获得10
23秒前
24秒前
24秒前
张123完成签到,获得积分10
25秒前
peiling完成签到,获得积分10
26秒前
Owen应助悦耳的怀寒采纳,获得10
26秒前
Sandy完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7658452
求助须知:如何正确求助?哪些是违规求助? 9228884
关于积分的说明 19838751
捐赠科研通 7225487
什么是DOI,文献DOI怎么找? 3280900
关于科研通互助平台的介绍 2440893
邀请新用户注册赠送积分活动 2280880