Evidence map›Paper›PMID 42390391›Full record

ReviewJACC. Asia2026

Wearable Electrocardiogram Technologies for the Early Detection of Acute Coronary Syndromes.

Yue Wang, Bing-Yan Yu, Wai Chak Wong, Chor-Cheung Tam, Chun-Ka Wong, Hung-Fat Tse

Abstract readReview
In one paragraph

Review in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yue WangCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Heart and Vascular Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Bing-Yan YuCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Heart and Vascular Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Wai Chak WongCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chor-Cheung TamCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chun-Ka WongCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Hung-Fat TseCardiology Division, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Heart and Vascular Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; Hong Kong-Guangdong Stem Cell and Regenerative Medicine Research Centre, The University of Hong Kong and Guangzhou Institutes of Biomedicine and Health, Hong Kong, China; Center for Translational Stem Cell Biology, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China; HKUMed Laboratory of Cellular Therapeutics, University of Hong Kong, Hong Kong, China; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China. Electronic address: hftse@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic heart disease remains the leading cause of cardiovascular mortality globally, with acute coronary syndrome (ACS) representing its most critical clinical manifestation. Although the standard 12-lead electrocardiogram is the diagnostic cornerstone for ACS, its utility is limited by the intermittent nature of recording and the requirement for clinical infrastructure, potentially leading to delayed diagnosis or missed atypical acute ischemic events. Advances in sensor technology have enabled the development of wearable electrocardiogram devices capable of continuous, ambulatory monitoring. This review examines the current landscape of wearable technologies for ACS detection, categorizing them into smartwatches, handheld monitors, patch-based systems, and textile-based garments. We evaluate the diagnostic performance of these modalities, highlighting that single-lead devices offer convenience, whereas multilead configurations are essential for the accurate localization of acute ischemia and the reduction of false negatives. Furthermore, we address critical challenges impeding clinical adoption, including signal fidelity amidst motion artifacts, the lack of large-scale validation studies, and challenges in integrating data into clinical workflows. Finally, we discuss future directions, emphasizing the role of multimodal sensing-combining electrophysiology with biochemical or mechanical sensors-and artificial intelligence in ushering in a new era of personalized monitoring for ACS.

Indexed as

acute coronary syndromeartificial intelligencedigital healthelectrocardiographywearable devices

Identifiers

PMID42390391
PMCPMC13458931

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.