Literature DB >> 31482579

A study to assess a novel automated electrocardiogram technology in screening for atrial fibrillation.

Muhammad I Sabar1, Farhana Ara1,2, Alice Henderson1, Omar Ahmed1, Christina Potter1, Isaac John1,2, Andrew R J Mitchell3, Rafael J Yáñez-Muñoz2, Riyaz A Kaba1,2,4.   

Abstract

INTRODUCTION: Atrial fibrillation is often asymptomatic and un-diagnosed in the community resulting in an increased risk of heart failure and stroke to those patients. We evaluated the effectiveness, tolerability, and accuracy of a novel six-channel electrocardiogram digital-health screening device, the RhythmPad, for the detection of atrial fibrillation.
METHODS: Seven hundred and fifty-two participants attending the cardiology department were recruited. Two recordings were taken-a six-lead electrocardiogram using the RhythmPad device and a standard 12-lead electrocardiogram. Recorded traces were analyzed by two blinded cardiologists. The computer-generated automated diagnostic reports from both systems were also compared. Post-participation feedback was obtained from study participants using a three-part questionnaire.
RESULTS: The sensitivity of the six-lead electrocardiogram compared to the 12-lead electrocardiogram, analyzed by two blinded cardiologists, for the detection of normal sinus rhythm was 95.9%, with a specificity of 97.2%. The sensitivity for the detection of atrial fibrillation using the six-lead ECG was 93.4%, with specificity 96.8%. The six-lead automated diagnostic report had a sensitivity and specificity of 97.5% and 98.6%, respectively, for correctly diagnosing normal sinus rhythm. For the correct diagnosis of atrial fibrillation, the six-lead automated diagnostic report had a sensitivity and specificity of 95.4% and 98.8%, respectively. A total of 95.4% of participants found RhythmPad to be comfortable, with only 0.5% preferring the 12-lead ECG device in comparison to six-lead ECG acquisitions.
CONCLUSION: The RhythmPad digital health device and its automated diagnostic report were highly accurate in detecting atrial fibrillation when compared to a standard 12-lead electrocardiogram.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  atrial fibrillation; detection; electrocardiogram; novel devices; screening

Mesh:

Year:  2019        PMID: 31482579     DOI: 10.1111/pace.13800

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  3 in total

Review 1.  Use of digital health applications for the detection of atrial fibrillation.

Authors:  Dennis Lawin; Sebastian Kuhn; Sophia Schulze Lammers; Thorsten Lawrenz; Christoph Stellbrink
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2022-08-12

Review 2.  [Mobile health for detection of atrial fibrillation-Status quo and perspectives].

Authors:  Dennis Lawin; Urs-Vito Albrecht; Zoe Sophie Oftring; Thorsten Lawrenz; Christoph Stellbrink; Sebastian Kuhn
Journal:  Internist (Berl)       Date:  2022-02-11       Impact factor: 0.743

3.  Intelligent Algorithm-Based Electrocardiography to Predict Atrial Fibrillation after Coronary Artery Bypass Grafting in the Elderly.

Authors:  Tao Feng; Zhihua Deng
Journal:  Comput Math Methods Med       Date:  2022-03-09       Impact factor: 2.238

  3 in total

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