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Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording
BACKGROUND: The WatchPAT (WP) device was shown to be accurate for the diagnosis of sleep apnea and is widely used worldwide as an ambulatory diagnostic tool. While it records peripheral arterial tone (PAT) and not electrocardiogram (ECG), the ability of it to detect arrhythmias is unknown and was no...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038202/ https://www.ncbi.nlm.nih.gov/pubmed/35478721 http://dx.doi.org/10.2147/NSS.S359468 |
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author | Pillar, Giora Berall, Murray Berry, Richard B Etzioni, Tamar Henkin, Yaakov Hwang, Dennis Marai, Ibrahim Shehadeh, Faheem Manthena, Prasanth Rama, Anil Spiegel, Rebecca Penzel, Thomas Tauman, Riva |
author_facet | Pillar, Giora Berall, Murray Berry, Richard B Etzioni, Tamar Henkin, Yaakov Hwang, Dennis Marai, Ibrahim Shehadeh, Faheem Manthena, Prasanth Rama, Anil Spiegel, Rebecca Penzel, Thomas Tauman, Riva |
author_sort | Pillar, Giora |
collection | PubMed |
description | BACKGROUND: The WatchPAT (WP) device was shown to be accurate for the diagnosis of sleep apnea and is widely used worldwide as an ambulatory diagnostic tool. While it records peripheral arterial tone (PAT) and not electrocardiogram (ECG), the ability of it to detect arrhythmias is unknown and was not studied previously. Common arrhythmias such as atrial fibrillation (AF) or premature beats may be uniquely presented while recording PAT/pulse wave. PURPOSE: To examine the potential detection of common arrhythmias by analyzing the PAT amplitude and pulse rate/volume changes. PATIENTS AND METHODS: Patients with suspected sleep disordered breathing (SDB) were recruited with preference for patients with previously diagnosed AF or congestive heart failure (CHF). They underwent simultaneous WP and PSG studies in 11 sleep centers. A novel algorithm was developed to detect arrhythmias while measuring PAT and was tested on these patients. Manual scoring of ECG channel (recorded as part of the PSG) was blinded to the automatically analyzed WP data. RESULTS: A total of 84 patients aged 57±16 (54 males) participated in this study. Their BMI was 30±5.7Kg/m2. Of them, 41 had heart failure (49%) and 17 (20%) had AF. The sensitivity and specificity of the WP to detect AF segments (of at least 60 seconds) were 0.77 and 0.99, respectively. The correlation between the WP derived detection of premature beats (events/min) to that of the PSG one was 0.98 (p<0.001). CONCLUSION: The novel automatic algorithm of the WP can reasonably detect AF and premature beats. We suggest that when the algorithm raises a flag for arrhythmia, the patients should shortly undergo ECG and/or Holter ECG study. |
format | Online Article Text |
id | pubmed-9038202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-90382022022-04-26 Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording Pillar, Giora Berall, Murray Berry, Richard B Etzioni, Tamar Henkin, Yaakov Hwang, Dennis Marai, Ibrahim Shehadeh, Faheem Manthena, Prasanth Rama, Anil Spiegel, Rebecca Penzel, Thomas Tauman, Riva Nat Sci Sleep Original Research BACKGROUND: The WatchPAT (WP) device was shown to be accurate for the diagnosis of sleep apnea and is widely used worldwide as an ambulatory diagnostic tool. While it records peripheral arterial tone (PAT) and not electrocardiogram (ECG), the ability of it to detect arrhythmias is unknown and was not studied previously. Common arrhythmias such as atrial fibrillation (AF) or premature beats may be uniquely presented while recording PAT/pulse wave. PURPOSE: To examine the potential detection of common arrhythmias by analyzing the PAT amplitude and pulse rate/volume changes. PATIENTS AND METHODS: Patients with suspected sleep disordered breathing (SDB) were recruited with preference for patients with previously diagnosed AF or congestive heart failure (CHF). They underwent simultaneous WP and PSG studies in 11 sleep centers. A novel algorithm was developed to detect arrhythmias while measuring PAT and was tested on these patients. Manual scoring of ECG channel (recorded as part of the PSG) was blinded to the automatically analyzed WP data. RESULTS: A total of 84 patients aged 57±16 (54 males) participated in this study. Their BMI was 30±5.7Kg/m2. Of them, 41 had heart failure (49%) and 17 (20%) had AF. The sensitivity and specificity of the WP to detect AF segments (of at least 60 seconds) were 0.77 and 0.99, respectively. The correlation between the WP derived detection of premature beats (events/min) to that of the PSG one was 0.98 (p<0.001). CONCLUSION: The novel automatic algorithm of the WP can reasonably detect AF and premature beats. We suggest that when the algorithm raises a flag for arrhythmia, the patients should shortly undergo ECG and/or Holter ECG study. Dove 2022-04-21 /pmc/articles/PMC9038202/ /pubmed/35478721 http://dx.doi.org/10.2147/NSS.S359468 Text en © 2022 Pillar et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Pillar, Giora Berall, Murray Berry, Richard B Etzioni, Tamar Henkin, Yaakov Hwang, Dennis Marai, Ibrahim Shehadeh, Faheem Manthena, Prasanth Rama, Anil Spiegel, Rebecca Penzel, Thomas Tauman, Riva Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title | Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title_full | Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title_fullStr | Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title_full_unstemmed | Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title_short | Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording |
title_sort | detection of common arrhythmias by the watch-pat: expression of electrical arrhythmias by pulse recording |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038202/ https://www.ncbi.nlm.nih.gov/pubmed/35478721 http://dx.doi.org/10.2147/NSS.S359468 |
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