Document Detail

An Optimized Method for the Estimation of the Respiratory Rate from Electrocardiographic Signals: Implications for Estimating Minute Ventilation.
MedLine Citation:
PMID:  24858847     Owner:  NLM     Status:  Publisher    
It is well-known that respiratory activity influences electrocardiographic morphology. In this paper we present a new algorithm for the extraction of respiratory rate from either intracardiac or body surface electrograms. The algorithm optimizes selection of electrocardiographic leads for respiratory analysis, as validated in a swine model. The algorithm estimates the respiratory rate from any two electrocardiographic leads by finding the power spectral peak of the derived ratio of the estimated root-mean-squared amplitude of the QRS complexes on a beat by beat basis across a 32-beat window, and automatically selects the lead combination with the highest power spectral signal-to-noise ratio. In twelve mechanically ventilated swine we collected intracardiac electrograms from catheters in the right ventricle, coronary sinus, left ventricle, and epicardial surface, as well as body surface electrograms, while the ventilation rate was varied between 7 and 13 breaths/min at tidal volumes of 500 and 750 mL. We found excellent agreement between the estimated and true respiratory rate for right ventricular (R2=0.97), coronary sinus (R2=0.96), left ventricular (R2=0.96), and epicardial (R2=0.97) intracardiac leads referenced to surface lead ECGII. When applied to intracardiac RV-CS bipolar leads, the algorithm exhibited an accuracy of 99.1% (R2=0.97). When applied to 12-lead body surface ECGs collected in four swine, the algorithm exhibited an accuracy of 100% (R2=0.93). In conclusion, the proposed algorithm provides an accurate estimation of the respiratory rate using either intracardiac or body surface signals, without the need for additional hardware.
Eric H Weiss; Omid Sayadi; Priya Ramaswamy; Faisal M Merchant; Naveen Sajja; Lori Foley; Shawna Laferriere; Antonis A Armoundas
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-5-23
Journal Detail:
Title:  American journal of physiology. Heart and circulatory physiology     Volume:  -     ISSN:  1522-1539     ISO Abbreviation:  Am. J. Physiol. Heart Circ. Physiol.     Publication Date:  2014 May 
Date Detail:
Created Date:  2014-5-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100901228     Medline TA:  Am J Physiol Heart Circ Physiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014, American Journal of Physiology - Heart and Circulatory Physiology.
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