1 40 1 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. URL Address <a href="http://doi.org/10.1007/978-3-030-01057-7_22" target="_blank" rel="noreferrer noopener">http://doi.org/10.1007/978-3-030-01057-7_22</a> Pages 265-285 Volume 869 Search for Full-text Locate full-text within NEOMED Library's e-journal collections <a href="http://neomed.idm.oclc.org/login?url=http://doi.org/10.1007/978-3-030-01057-7_22" target="_blank" rel="noreferrer noopener">NEOMED Full-text Holding (if available) - Proxy DOI: 10.1007/978-3-030-01057-7_22</a> <p>Users with a NEOMED Library login can search for full-text journal articles at the following url: <a href="https://libraryguides.neomed.edu/home">https://libraryguides.neomed.edu/home</a></p> Update Year & Number January 2021 List NEOMED College NEOMED College of Medicine NEOMED Department Department of Emergency Medicine Affiliated Hospital Summa Health Akron City Hospital Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Bivariate markov model based analysis of ecg for accurate identification and classification of premature heartbeats and irregular beat-patterns Publisher An entity responsible for making the resource available Intelligent Systems And Applications, INTELLISYS, Vol 2 Date A point or period of time associated with an event in the lifecycle of the resource 2019 1905-07 Subject The topic of the resource Machine learning; ECG analysis; Intelligent system; Irregular beat pattern; Markov model; Medical diagnosis; Premature beat classification; Real-time system; Signal analysis Creator An entity primarily responsible for making the resource Gawde PR; Bansal AK; Nielson JA; Khan JI Description An account of the resource This paper describes a novel intelligent analysis technique based upon bivariate Markov model that integrates morphological and temporal features with a rule-based interval analysis of ECG signals to localize and accurately classify the premature beats to four major classes: (1) Premature Atrial Complex (PAC), (2) Blocked PAC (B-PAC), (3) Premature Ventricular Complex (PVC), and (4) Premature Junctional Complex (PJC). The paper also describes a beat-pattern classification algorithm to sub classify premature beat-patterns into bigeminy, trigeminy and quadrigeminy. The approach utilizes two phases: (1) a training phase that builds bivariate Markov model from standardized databases of ECG signals, and (2) a dynamic phase that detects embedded P and R waves in T-waves of premature beats using a combination of area subtraction and clinically significant rule-based analysis of R-R intervals. It detects and classifies premature beats using graph matching based upon the forward-backward algorithm and performs a look ahead pattern analysis for the sub-classification of beat-patterns. The algorithms have been presented. The software has been implemented that uses a combination of MATLAB and C++ libraries. Performance results show that processing time is realistic for real-time detection with 98%-99% sensitivity for the premature beat classification and 95%-98% sensitivity for the beat pattern identification. Identifier An unambiguous reference to the resource within a given context <a href="http://doi.org/10.1007/978-3-030-01057-7_22" target="_blank" rel="noreferrer noopener">10.1007/978-3-030-01057-7_22</a> Rights Information about rights held in and over the resource Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s). Format The file format, physical medium, or dimensions of the resource journalArticle 2019 Bansal AK Department of Emergency Medicine ECG analysis Gawde PR Intelligent system Intelligent Systems And Applications Intelligent Systems And Applications, INTELLISYS, Vol 2 INTELLISYS Irregular beat pattern January 2021 List journalArticle Khan JI Machine learning Markov model Medical diagnosis NEOMED College of Medicine Nielson JA Premature beat classification Real-time system Signal analysis Summa Health Akron City Hospital Vol 2