Key result
ECG247 patch sensor yields ~95% accuracy for automatic AF detection vs. 81% with Holter.
Why the study?
Conventional diagnostic tools for rhythm disorders have limited availability, duration, and usability challenges, necessitating simplified out-of-hospital arrhythmia investigation.
Does the ECG247 Smart Heart Sensor improve diagnostic accuracy and usability for arrhythmia detection compared to conventional Holter monitoring in patients referred for long-term ECG recording?
Observational (n=150)
No
Does the ECG247 Smart Heart Sensor improve diagnostic accuracy and usability for arrhythmia detection compared to conventional Holter monitoring in patients referred for long-term ECG recording?
Absolute Event Rate: 95% vs 81%
The ECG247 Smart Heart Sensor offers a highly accurate, user-friendly alternative to conventional Holter monitoring for out-of-hospital detection of atrial fibrillation.
May support wireless sensors over Holter for out-of-hospital AF detection; leaves open whether gains improve outcomes in prospective trials.
Background. Heart rhythm disorders, especially atrial fibrillation (AF), are increasing global health challenges. Conventional diagnostic tools for assessment of rhythm disorders suffer from limited availability, limited test duration time, and usability challenges. There is also a need for out-of-hospital investigation of arrhythmias. Therefore, the Norwegian ECG247 Smart Heart Sensor has been developed to simplify the assessment of heart rhythm disorders. The current study aimed to evaluate the diagnostic accuracy and usability of the ECG247 Smart Heart Sensor compared to conventional Holter monitors. Methods. Parallel tests with ECG247 Smart Heart Sensor and a Holter monitor were performed in 151 consecutive patients referred for out-of-hospital long-term ECG recording at Sorlandet Hospital Arendal, Norway. All ECG data were automatically analysed by both systems and evaluated by hospital physicians. Participants were asked to complete a questionnaire scoring usability parameters after the test. Results. A total of 150 patients (62% men, age 54 (±17) years) completed the study. The ECG quality from both monitors was considered satisfactory for rhythm analysis in all patients. AF was identified in 9 (6%) patients during the period with parallel tests. The diagnostic accuracy for automatic AF detection was 95% (95% CI 91–98) for the ECG247 Smart Heart Sensor and 81% (95% CI 74–87) for the Holter system. The proportion of false-positive AF was 4% in tests analysed by the ECG247 algorithm and 16% in tests analysed by the Holter algorithm. Other arrhythmias were absent/rare. The system usability score was significantly better for ECG247 Smart Heart Sensor compared to traditional Holter technology (score 87.4 vs. 67.5, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>p</a:mi> <a:mo><</a:mo> <a:mn>0.001</a:mn> </a:math> ). Conclusions. The ECG247 Smart Heart Sensor showed at least comparable diagnostic accuracy for AF and improved usability compared to conventional Holter technology. ECG247 allows for prolonged monitoring and may improve detection of AF. This trial is registered with https://clinicaltrials.gov/ct2/show/NCT04700865.
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Sandberg et al. (2021) conducted an observational in Suspected heart rhythm disorders (n=150). ECG247 Smart Heart Sensor vs. Conventional Holter monitor (Medilog AR4 plus) was evaluated on Diagnostic accuracy for automatic atrial fibrillation detection. The ECG247 Smart Heart Sensor demonstrated a diagnostic accuracy of 95% for automatic atrial fibrillation detection compared to 81% for conventional Holter monitoring, with significantly improved usability.
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