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February 17, 2019JMIR mhealth and uhealth83 citationsOpen Access

Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)

YFYong‐Yan FanYLYan‐Guang LiJLJian Li

Structured PICO

Does photoplethysmography (PPG) technology using mobile phones and smart bands accurately detect atrial fibrillation compared to 12-lead ECG in inpatients?

P
Population
108 consecutive inpatients (56 with normal sinus rhythm, 52 with persistent AF) aged 18 years and older from the Chinese PLA General Hospital. Mean age 66.56 (AF) and 58 (SR).
I
Intervention
Photoplethysmography (PPG) using mobile phones (HUAWEI Mate 9, HUAWEI Honor 7X) and smart bands (HUAWEI Band 2) with the PRO AF PPG algorithm for 3 minutes.
C
Comparator
12-lead electrocardiogram (ECG) for 3 minutes.
O
Outcome
Diagnostic accuracy (sensitivity, specificity, positive predictive value, negative predictive value, and accuracy) for atrial fibrillation detection.surrogate

Photoplethysmography technology using mobile phones and smart bands demonstrates high sensitivity and specificity for detecting atrial fibrillation, offering a convenient tool for widespread screening.

Limitations

  • Only focused on discriminating between AF and sinus rhythm, not evaluating sinus arrhythmia or ectopics.
  • Ability to diagnose or screen AF with ambulatory outpatients has not been adequately investigated.
  • Data collected in a supine position, which is not common for home screening and overestimates results.
  • Used index or middle finger, not the pinky.
  • Relatively small sample size.

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. The asymptomatic nature and paroxysmal frequency of AF lead to suboptimal early detection. A novel technology, photoplethysmography (PPG), has been developed for AF screening. However, there has been limited validation of mobile phone and smart band apps with PPG compared to 12-lead electrocardiograms (ECG). OBJECTIVE: We investigated the feasibility and accuracy of a mobile phone and smart band for AF detection using pulse data measured by PPG. METHODS: A total of 112 consecutive inpatients were recruited from the Chinese PLA General Hospital from March 15 to April 1, 2018. Participants were simultaneously tested with mobile phones (HUAWEI Mate 9, HUAWEI Honor 7X), smart bands (HUAWEI Band 2), and 12-lead ECG for 3 minutes. RESULTS: In all, 108 patients (56 with normal sinus rhythm, 52 with persistent AF) were enrolled in the final analysis after excluding four patients with unclear cardiac rhythms. The corresponding sensitivity and specificity of the smart band PPG were 95.36% (95% CI 92.00%-97.40%) and 99.70% (95% CI 98.08%-99.98%), respectively. The positive predictive value of the smart band PPG was 99.63% (95% CI 97.61%-99.98%), the negative predictive value was 96.24% (95% CI 93.50%-97.90%), and the accuracy was 97.72% (95% CI 96.11%-98.70%). Moreover, the diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of mobile phones with PPG for AF detection were over 94%. There was no significant difference after further statistical analysis of the results from the different smart devices compared with the gold-standard ECG (P>.99). CONCLUSIONS: The algorithm based on mobile phones and smart bands with PPG demonstrated good performance in detecting AF and may represent a convenient tool for AF detection in at-risk individuals, allowing widespread screening of AF in the population. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR-OOC-17014138; http://www.chictr.org.cn/showproj.aspx?proj=24191 (Archived by WebCite at http://www.webcitation/76WXknvE6).

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Cite This Study

Fan et al. (2019) studied this question.

synapsesocial.com/papers/6a6f6def8031ec7bb1dbbe42https://doi.org/10.2196/11437
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