ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device

wECG-based AMI detection shows considerable promise in out-of-hospital settings. However, caution is needed as CNN explanations rarely agree with the ECG intervals typically analyzed in clinical practice.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-06-16
DOI
https://doi.org/10.1109/tbme.2025.3580154
Citations
1
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device

Justinas Bacevičius, Andrius Petrėnas, Leif Sörnmo, Daivaras Sokas et al.
1 citations
IEEE Transactions on Biomedical Engineering
ECG Monitoring and Analysis
1.39
article

ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device

Justinas Bacevičius, Andrius Petrėnas, Leif Sörnmo, Daivaras Sokas, Karolina Jančiulevičiūtė
article en
1 citations

Abstract

wECG-based AMI detection shows considerable promise in out-of-hospital settings. However, caution is needed as CNN explanations rarely agree with the ECG intervals typically analyzed in clinical practice.

IEEE Transactions on Biomedical EngineeringVol. 73(1)
Kaunas University of Technology (LT), Vilnius University (LT), Lund University (SE)
Good health and well-being
Openalex Percentile: Top 18%
ECG Monitoring and Analysis
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.