Cited by 495Non-Invasive Vital Sign MonitoringAtrial Fibrillation Management and OutcomesMobile Health and mHealth Applications

Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation

Open access
Guo, Yutao, Wang, Hao, Zhang, Hui, Liu, Tong, Liang, Zhaoguang, Xia, Yunlong, Yan, Li, Xing, Yunli +78 more·2019·Journal of the American College of Cardiology

Abstract

Background Low detection and nonadherence are major problems in current management approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may enable earlier AF detection and improved AF management.Objectives This study sought to investigate the effectiveness of AF screening in a large population-based cohort using smart device-based photoplethysmography (PPG) technology, combined with a clinical care AF management pathway using a mobile health approach.Methods AF screening was performed with smart devices using PPG technology, which were made available for the population ≥18 years of age across China. Monitoring for at least 14 days with a wristband (Honor Band 4) or wristwatch (Huawei Watch GT, Honor Watch, Huawei Technologies Co., Ltd., Shenzhen, China) was allowed. The patients with "possible AF" episodes using the PPG algorithm were further confirmed by health providers among the MAFA (mobile AF app) Telecare center and network hospitals, with clinical evaluation, electrocardiogram, or 24-h Holter monitoring.Results There were 246,541 individuals who downloaded the PPG screening app, and 187,912 individuals used smart devices to monitor their pulse rhythm between October 26, 2018, and May 20, 2019. Among those with PPG monitoring (mean age 35 years, 86.7% male), 424 (of 187,912, 0.23%) (mean age 54 years, 87.0% male) received a "suspected AF" notification. Of those effectively followed up, 227 individuals (of 262, 87.0%) were confirmed as having AF, with the positive predictive value of PPG signals being 91.6% (95% confidential interval [CI]: 91.5% to 91.8%). Both suspected AF and identified AF markedly increased with age (p for trend <0.001), and individuals in Northeast China had the highest proportion of detected AF of 0.28% (95% CI: 0.20% to 0.39%). Of the individuals with identified AF, 216 (of 227, 95.1%) subsequently entered a program of integrated AF management using a mobile AF application; approximately 80% of high-risk patients were successfully anticoagulated.Conclusions Based on the present study, continuous home monitoring with smart device-based PPG technology could be a feasible approach for AF screening. This would help efforts at screening and detection of AF, as well as early interventions to reduce stroke and other AF-related complications. (Mobile Health [mHealth] Technology for Improved Screening, Patient Involvement and Optimizing Integrated Care in Atrial Fibrillation [MAFA II]; ChiCTR-OOC-17014138).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2019.08.019

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Another study also found a high PPV for possible AF episodes identified from 45- to 60-s PPG recordings.

    “Another study also found a high PPV for possible AF episodes identified from 45- to 60-s PPG recordings”

    From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [30]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Guo, Y., Wang, H., Zhang, H., Liu, T., Liang, Z., Xia, Y., Yan, L., Xing, Y., Shi, H., Li, S., Liu, Y., Liu, F., Feng, M., Chen, Y., Lip, G. Y. H., Guo, Y., Lip, G. Y. H., Lane, D. A., Chen, Y., Wang, L., Eckstein, J., Thomas, G. N., Tong, L., Mei, F., Xuejun, L., Xiaoming, L., Zhaoliang, S., Xiangming, S., Wei, Z., Yunli, X., Jing, W., Fan, W., Sitong, Y., Xiaoqing, J., Bo, Y., Xiaojuan, B., Yuting, J., Yangxia, L., Yingying, S., Zhongju, T., Li, Y., Tianzhu, L., Chunfeng, N., Lili, Z., Shuyan, L., Zulu, W., Bing, X., Liming, L., Yuanzhe, J., Yunlong, X., Xiaohong, C., Fang, W., Lina, Z., yihong, S., shujie, J., Jing, L., Nan, L., shijun, L., huixia, L., Rong, L., Fan, L., qingfeng, G., tianyun, G., Yuan, W., Xin, L., Yan, R., xiaoping, C., ronghua, C., Yun, S., yulan, Z., haili, S., yujie, Z., quanchun, W., weidong, S., Lin, W., Chan, E., Guangliang, S., Chen, Y., Wei, Z., Dandi, C., Xiang, H., Anding, X., Xiaohan, F., Ziqiang, Y., Xiang, G., & Fulin, G.
Affiliations
  • Chinese People's Liberation Army (CN)
  • First Affiliated Hospital of Dalian Medical University (CN)
  • Capital Medical University (CN)
  • Zhengzhou University (CN)
  • General Hospital of Shenyang Military Region (CN)
  • Second Hospital of Hebei Medical University (CN)
  • Shanxi Dayi Hospital (CN)
  • Chinese PLA General Hospital (CN)
  • University Hospital of Basel (CH)
  • Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Corresponding author
Chen, Yao
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2019-11
Volume
74
Issue
19
Pages
2365-2375
ISSN
0735-1097 (ISSN-L)
OpenAlex
W2970354537
Cited by
489
References
31
Citations by year
2026: 49 · 2025: 73 · 2024: 69 · 2023: 67 · 2022: 73 · 2021: 90 · 2020: 60 · 2019: 5 · 2018: 1
FWCI
20.02
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • VBN Forskningsportal (Aalborg Universitet) (submittedVersion, cc-by-nc-nd)
Funders
  • Pfizer
  • National Institute for Health and Care Research (NF-SI-0616-10010)
  • University of Birmingham
  • National Natural Science Foundation of China (H2501)
  • Daiichi-Sankyo
  • Health and Family Planning Commission of Heilongjiang Province (2017-036)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
atrial fibrillation, photoplethysmography, mobile health, wearable devices, atrial fibrillation screening, anticoagulation, mobile health apps, positive predictive value, telecare, population-based cohort, China, Northeast China, Holter monitoring, electrocardiogram, anticoagulation adherence
MeSH terms
Adult, Aged, Algorithms, Atrial Fibrillation, China, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Photoplethysmography, Telemedicine, Monitoring, Ambulatory, Young Adult, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review