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Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist
BACKGROUND: Long‐term continuous cardiac monitoring would aid in the early diagnosis and management of atrial fibrillation (AF). This study examined the accuracy of a novel approach for AF detection using photo‐plethysmography signals measured from a wrist‐based wearable device. METHODS AND RESULTS:...
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/PMC6201454/ https://www.ncbi.nlm.nih.gov/pubmed/30371247 http://dx.doi.org/10.1161/JAHA.118.009351 |
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author | Bonomi, Alberto G. Schipper, Fons Eerikäinen, Linda M. Margarito, Jenny van Dinther, Ralph Muesch, Guido de Morree, Helma M. Aarts, Ronald M. Babaeizadeh, Saeed McManus, David D. Dekker, Lukas R.C. |
author_facet | Bonomi, Alberto G. Schipper, Fons Eerikäinen, Linda M. Margarito, Jenny van Dinther, Ralph Muesch, Guido de Morree, Helma M. Aarts, Ronald M. Babaeizadeh, Saeed McManus, David D. Dekker, Lukas R.C. |
author_sort | Bonomi, Alberto G. |
collection | PubMed |
description | BACKGROUND: Long‐term continuous cardiac monitoring would aid in the early diagnosis and management of atrial fibrillation (AF). This study examined the accuracy of a novel approach for AF detection using photo‐plethysmography signals measured from a wrist‐based wearable device. METHODS AND RESULTS: ECG and contemporaneous pulse data were collected from 2 cohorts of AF patients: AF patients (n=20) undergoing electrical cardioversion (ECV) and AF patients (n=40) that were prescribed for 24 hours ECG Holter in outpatient settings (HOL). Photo‐plethysmography and acceleration data were collected at the wrist and processed to determine the inter‐pulse interval and discard inter‐pulse intervals in presence of motion artifacts. A Markov model was deployed to assess the probability of AF given irregular pattern in inter‐pulse interval sequences. The AF detection algorithm was evaluated against clinical rhythm annotations of AF based on ECG interpretation. Photo‐plethysmography recordings from apparently healthy volunteers (n=120) were used to establish the false positive AF detection rate of the algorithm. A total of 42 and 855 hours (AF: 21 and 323 hours) of photo‐plethysmography data were recorded in the ECV and HOL cohorts, respectively. AF was detected with >96% accuracy (ECV, sensitivity=97%; HOL, sensitivity=93%; both with specificity=100%). Because of motion artifacts, the algorithm did not provide AF classification for 44±16% of the monitoring period in the HOL group. In healthy controls, the algorithm demonstrated a <0.2% false positive AF detection rate. CONCLUSIONS: A novel AF detection algorithm using pulse data from a wrist‐wearable device can accurately discriminate rhythm irregularities caused by AF from normal rhythm. |
format | Online Article Text |
id | pubmed-6201454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62014542018-10-31 Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist Bonomi, Alberto G. Schipper, Fons Eerikäinen, Linda M. Margarito, Jenny van Dinther, Ralph Muesch, Guido de Morree, Helma M. Aarts, Ronald M. Babaeizadeh, Saeed McManus, David D. Dekker, Lukas R.C. J Am Heart Assoc Original Research BACKGROUND: Long‐term continuous cardiac monitoring would aid in the early diagnosis and management of atrial fibrillation (AF). This study examined the accuracy of a novel approach for AF detection using photo‐plethysmography signals measured from a wrist‐based wearable device. METHODS AND RESULTS: ECG and contemporaneous pulse data were collected from 2 cohorts of AF patients: AF patients (n=20) undergoing electrical cardioversion (ECV) and AF patients (n=40) that were prescribed for 24 hours ECG Holter in outpatient settings (HOL). Photo‐plethysmography and acceleration data were collected at the wrist and processed to determine the inter‐pulse interval and discard inter‐pulse intervals in presence of motion artifacts. A Markov model was deployed to assess the probability of AF given irregular pattern in inter‐pulse interval sequences. The AF detection algorithm was evaluated against clinical rhythm annotations of AF based on ECG interpretation. Photo‐plethysmography recordings from apparently healthy volunteers (n=120) were used to establish the false positive AF detection rate of the algorithm. A total of 42 and 855 hours (AF: 21 and 323 hours) of photo‐plethysmography data were recorded in the ECV and HOL cohorts, respectively. AF was detected with >96% accuracy (ECV, sensitivity=97%; HOL, sensitivity=93%; both with specificity=100%). Because of motion artifacts, the algorithm did not provide AF classification for 44±16% of the monitoring period in the HOL group. In healthy controls, the algorithm demonstrated a <0.2% false positive AF detection rate. CONCLUSIONS: A novel AF detection algorithm using pulse data from a wrist‐wearable device can accurately discriminate rhythm irregularities caused by AF from normal rhythm. John Wiley and Sons Inc. 2018-07-31 /pmc/articles/PMC6201454/ /pubmed/30371247 http://dx.doi.org/10.1161/JAHA.118.009351 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/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Bonomi, Alberto G. Schipper, Fons Eerikäinen, Linda M. Margarito, Jenny van Dinther, Ralph Muesch, Guido de Morree, Helma M. Aarts, Ronald M. Babaeizadeh, Saeed McManus, David D. Dekker, Lukas R.C. Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title | Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title_full | Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title_fullStr | Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title_full_unstemmed | Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title_short | Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist |
title_sort | atrial fibrillation detection using a novel cardiac ambulatory monitor based on photo‐plethysmography at the wrist |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201454/ https://www.ncbi.nlm.nih.gov/pubmed/30371247 http://dx.doi.org/10.1161/JAHA.118.009351 |
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