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Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals
BACKGROUND: We aimed to evaluate a novel method of atrial fibrillation (AF) screening using an iPhone camera to detect and analyze photoplethysmographic signals from the face without physical contact by extracting subtle beat‐to‐beat variations of skin color that reflect the cardiac pulsatile signal...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015414/ https://www.ncbi.nlm.nih.gov/pubmed/29622592 http://dx.doi.org/10.1161/JAHA.118.008585 |
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author | Yan, Bryan P. Lai, William H. S. Chan, Christy K. Y. Chan, Stephen Chun‐Hin Chan, Lok‐Hei Lam, Ka‐Ming Lau, Ho‐Wang Ng, Chak‐Ming Tai, Lok‐Yin Yip, Kin‐Wai To, Olivia T. L. Freedman, Ben Poh, Yukkee C. Poh, Ming‐Zher |
author_facet | Yan, Bryan P. Lai, William H. S. Chan, Christy K. Y. Chan, Stephen Chun‐Hin Chan, Lok‐Hei Lam, Ka‐Ming Lau, Ho‐Wang Ng, Chak‐Ming Tai, Lok‐Yin Yip, Kin‐Wai To, Olivia T. L. Freedman, Ben Poh, Yukkee C. Poh, Ming‐Zher |
author_sort | Yan, Bryan P. |
collection | PubMed |
description | BACKGROUND: We aimed to evaluate a novel method of atrial fibrillation (AF) screening using an iPhone camera to detect and analyze photoplethysmographic signals from the face without physical contact by extracting subtle beat‐to‐beat variations of skin color that reflect the cardiac pulsatile signal. METHODS AND RESULTS: Patients admitted to the cardiology ward of the hospital for clinical reasons were recruited. Simultaneous facial and fingertip photoplethysmographic measurements were obtained from 217 hospital inpatients (mean age, 70.3±13.9 years; 71.4% men) facing the front camera and with an index finger covering the back camera of 2 independent iPhones before a 12‐lead ECG was recorded. Backdrop and background light intensity was monitored during signal acquisition. Three successive 20‐second (total, 60 seconds) recordings were acquired per patient and analyzed for heart rate regularity by Cardiio Rhythm (Cardiio Inc, Cambridge, MA) smartphone application. Pulse irregularity in ≥1 photoplethysmographic readings or 3 uninterpretable photoplethysmographic readings were considered a positive AF screening result. AF was present on 12‐lead ECG in 34.6% (n=75/217) patients. The Cardiio Rhythm facial photoplethysmographic application demonstrated high sensitivity (95%; 95% confidence interval, 87%–98%) and specificity (96%; 95% confidence interval, 91%–98%) in discriminating AF from sinus rhythm compared with 12‐lead ECG. The positive and negative predictive values were 92% (95% confidence interval, 84%–96%) and 97% (95% confidence interval, 93%–99%), respectively. CONCLUSIONS: Detection of a facial photoplethysmographic signal to determine pulse irregularity attributable to AF is feasible. The Cardiio Rhythm smartphone application showed high sensitivity and specificity, with low negative likelihood ratio for AF from facial photoplethysmographic signals. The convenience of a contact‐free approach is attractive for community screening and has the potential to be useful for distant AF screening. |
format | Online Article Text |
id | pubmed-6015414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60154142018-07-05 Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals Yan, Bryan P. Lai, William H. S. Chan, Christy K. Y. Chan, Stephen Chun‐Hin Chan, Lok‐Hei Lam, Ka‐Ming Lau, Ho‐Wang Ng, Chak‐Ming Tai, Lok‐Yin Yip, Kin‐Wai To, Olivia T. L. Freedman, Ben Poh, Yukkee C. Poh, Ming‐Zher J Am Heart Assoc Original Research BACKGROUND: We aimed to evaluate a novel method of atrial fibrillation (AF) screening using an iPhone camera to detect and analyze photoplethysmographic signals from the face without physical contact by extracting subtle beat‐to‐beat variations of skin color that reflect the cardiac pulsatile signal. METHODS AND RESULTS: Patients admitted to the cardiology ward of the hospital for clinical reasons were recruited. Simultaneous facial and fingertip photoplethysmographic measurements were obtained from 217 hospital inpatients (mean age, 70.3±13.9 years; 71.4% men) facing the front camera and with an index finger covering the back camera of 2 independent iPhones before a 12‐lead ECG was recorded. Backdrop and background light intensity was monitored during signal acquisition. Three successive 20‐second (total, 60 seconds) recordings were acquired per patient and analyzed for heart rate regularity by Cardiio Rhythm (Cardiio Inc, Cambridge, MA) smartphone application. Pulse irregularity in ≥1 photoplethysmographic readings or 3 uninterpretable photoplethysmographic readings were considered a positive AF screening result. AF was present on 12‐lead ECG in 34.6% (n=75/217) patients. The Cardiio Rhythm facial photoplethysmographic application demonstrated high sensitivity (95%; 95% confidence interval, 87%–98%) and specificity (96%; 95% confidence interval, 91%–98%) in discriminating AF from sinus rhythm compared with 12‐lead ECG. The positive and negative predictive values were 92% (95% confidence interval, 84%–96%) and 97% (95% confidence interval, 93%–99%), respectively. CONCLUSIONS: Detection of a facial photoplethysmographic signal to determine pulse irregularity attributable to AF is feasible. The Cardiio Rhythm smartphone application showed high sensitivity and specificity, with low negative likelihood ratio for AF from facial photoplethysmographic signals. The convenience of a contact‐free approach is attractive for community screening and has the potential to be useful for distant AF screening. John Wiley and Sons Inc. 2018-04-05 /pmc/articles/PMC6015414/ /pubmed/29622592 http://dx.doi.org/10.1161/JAHA.118.008585 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Yan, Bryan P. Lai, William H. S. Chan, Christy K. Y. Chan, Stephen Chun‐Hin Chan, Lok‐Hei Lam, Ka‐Ming Lau, Ho‐Wang Ng, Chak‐Ming Tai, Lok‐Yin Yip, Kin‐Wai To, Olivia T. L. Freedman, Ben Poh, Yukkee C. Poh, Ming‐Zher Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title | Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title_full | Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title_fullStr | Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title_full_unstemmed | Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title_short | Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals |
title_sort | contact‐free screening of atrial fibrillation by a smartphone using facial pulsatile photoplethysmographic signals |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015414/ https://www.ncbi.nlm.nih.gov/pubmed/29622592 http://dx.doi.org/10.1161/JAHA.118.008585 |
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