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Performance and safety of a novel, cable-free, patch-based, and AI-enhanced ECG monitoring system : A comparative study

Thomas, Owain LU orcid ; Linner, Rikard LU and Dardashti, Alain LU (2025) In European Heart Journal - Digital Health 6(5). p.888-896
Abstract

Aims ECG monitoring is often required during critical phases of illness. To evaluate the role of modern technology and advanced analytical algorithms artificial intelligence compared with standard-of care, we undertook a prospective, head-to-head comparison of a novel, cable-free, patch-based, and AI-enhanced electrocardiography system (CardioSenseSystem) with standard of care (SOC) ECG monitoring. Patients who had undergone cardiac surgery at a large university hospital (Skåne University Hospital, Sweden) were simultaneously monitored by both systems, and alarms and monitoring interruptions were recorded. Methods and results Forty-nine patients were recruited. The CardioSenseSystem system demonstrated significantly higher sensitivity,... (More)

Aims ECG monitoring is often required during critical phases of illness. To evaluate the role of modern technology and advanced analytical algorithms artificial intelligence compared with standard-of care, we undertook a prospective, head-to-head comparison of a novel, cable-free, patch-based, and AI-enhanced electrocardiography system (CardioSenseSystem) with standard of care (SOC) ECG monitoring. Patients who had undergone cardiac surgery at a large university hospital (Skåne University Hospital, Sweden) were simultaneously monitored by both systems, and alarms and monitoring interruptions were recorded. Methods and results Forty-nine patients were recruited. The CardioSenseSystem system demonstrated significantly higher sensitivity, correctly detecting 364 critical red alarms vs. 12 for SOC (P < 0.0001), and lower rates of high priority false alarms (0.3% vs. 40%; P < 0.0001). Monitoring interruptions were markedly reduced (114 s/day vs. 584 s/day; P < 0.0001). Handling time per patient day was significantly shorter (256 s vs. 880 s). The CardioSenseSystem system also reduced alarm fatigue, with fewer disturbances per patient per hour (0.03 vs. 0.11; P < 0.0001). Conclusion The CardioSenseSystem system delivered significant advantages over conventional ECG monitoring in post-cardiac surgery patients. Its high sensitivity, reduced false alarms, fewer monitoring interruptions, and decreased handling time suggest that it may enhance patient outcomes and clinical efficiency, warranting broader application in acute-care settings.

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Please use this url to cite or link to this publication:
author
; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Alarm fatigue, Critical arrhythmia alarms, ECG monitoring, ECG patch, ECG telemetry, Life-threatening arrhythmia alarms
in
European Heart Journal - Digital Health
volume
6
issue
5
pages
888 - 896
publisher
Oxford University Press
external identifiers
  • scopus:105016637303
  • pmid:40984996
ISSN
2634-3916
DOI
10.1093/ehjdh/ztaf059
language
English
LU publication?
no
additional info
Publisher Copyright: © 2025 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology.
id
15fd7cf2-f248-4b61-8ae7-cd395793b319
date added to LUP
2026-03-10 09:34:27
date last changed
2026-09-10 12:07:46
@article{15fd7cf2-f248-4b61-8ae7-cd395793b319,
  abstract     = {{<p>Aims ECG monitoring is often required during critical phases of illness. To evaluate the role of modern technology and advanced analytical algorithms artificial intelligence compared with standard-of care, we undertook a prospective, head-to-head comparison of a novel, cable-free, patch-based, and AI-enhanced electrocardiography system (CardioSenseSystem) with standard of care (SOC) ECG monitoring. Patients who had undergone cardiac surgery at a large university hospital (Skåne University Hospital, Sweden) were simultaneously monitored by both systems, and alarms and monitoring interruptions were recorded. Methods and results Forty-nine patients were recruited. The CardioSenseSystem system demonstrated significantly higher sensitivity, correctly detecting 364 critical red alarms vs. 12 for SOC (P &lt; 0.0001), and lower rates of high priority false alarms (0.3% vs. 40%; P &lt; 0.0001). Monitoring interruptions were markedly reduced (114 s/day vs. 584 s/day; P &lt; 0.0001). Handling time per patient day was significantly shorter (256 s vs. 880 s). The CardioSenseSystem system also reduced alarm fatigue, with fewer disturbances per patient per hour (0.03 vs. 0.11; P &lt; 0.0001). Conclusion The CardioSenseSystem system delivered significant advantages over conventional ECG monitoring in post-cardiac surgery patients. Its high sensitivity, reduced false alarms, fewer monitoring interruptions, and decreased handling time suggest that it may enhance patient outcomes and clinical efficiency, warranting broader application in acute-care settings.</p>}},
  author       = {{Thomas, Owain and Linner, Rikard and Dardashti, Alain}},
  issn         = {{2634-3916}},
  keywords     = {{Alarm fatigue; Critical arrhythmia alarms; ECG monitoring; ECG patch; ECG telemetry; Life-threatening arrhythmia alarms}},
  language     = {{eng}},
  month        = {{09}},
  number       = {{5}},
  pages        = {{888--896}},
  publisher    = {{Oxford University Press}},
  series       = {{European Heart Journal - Digital Health}},
  title        = {{Performance and safety of a novel, cable-free, patch-based, and AI-enhanced ECG monitoring system : A comparative study}},
  url          = {{http://dx.doi.org/10.1093/ehjdh/ztaf059}},
  doi          = {{10.1093/ehjdh/ztaf059}},
  volume       = {{6}},
  year         = {{2025}},
}