| An automated carotid pulse assessment approach using Doppler ultrasound. | |
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MedLine Citation:
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PMID: 18334399 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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During cardiac arrest emergencies, lay rescuers are required to manually check the patient's carotid pulse after the delivery of defibrillation shocks to assess the cardiac resuscitation progress of the patient. As a more automated way of monitoring the resuscitation progress, a new Doppler-ultrasound-based carotid pulse assessment approach is presented in this paper. The method works by analyzing the temporal aperiodicity of Doppler shifts seen in the ultrasound echoes returned from the patient's carotid arteries. As a quantitative investigation with this method, we derived a new measure called the pulselessness indicator to assess whether a carotid pulse is absent based on the given Doppler information. To study the performance of the new carotid pulse checking method, we built a multi-channel CW Doppler prototype device to acquire Doppler data in vivo during cardiac arrest experiments conducted on five different swines and computed pulselessness indicator estimates with these data. Our results indicated that the Doppler-based pulse checking approach has good sensitivity and specificity: it had a pulselessness detection rate greater than 0.9 for a given false alarm rate of 0.05. As a further analysis, the prototype device was applied to other experiments where the swine had suffered cardiac arrest for over five minutes. It showed a consistent assessment performance on the monitoring of the swine's resuscitation progress after defibrillation and chest compressions. |
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Authors:
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Alfred H Yu; Eric Cohen-Solal; Balasundar I Raju; Shervin Ayati |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 55 ISSN: 0018-9294 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2008 Mar |
Date Detail:
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Created Date: 2008-03-12 Completed Date: 2008-04-15 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 1072-81 Citation Subset: IM |
Affiliation:
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Department of Electrical and Electronic Engineering, The University of Hong Kong, Chow Yei Ching Building Rm. 601, Pokfulam Road, Hong Kong SAR. alfred.yu@eee.hku.hk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Animals Carotid Arteries / physiology* Equipment Design Equipment Failure Analysis Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Pulse / instrumentation*, methods Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted / instrumentation* Swine Ultrasonography, Doppler / instrumentation*, methods |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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