A genetic algorithm-neural network wrapper approach for bundle branch block detection

Ragheed Allami, Andrew Stranieri, Venki Balasubramanian, Herbert F. Jelinek

Research output: Book chapter/Published conference paperConference paperpeer-review

12 Citations (Scopus)

Abstract

A Bundle Branch Block (BBB) is a delay or obstruction along electrical impulse pathways in the heart. The automated detection and classification of a BBB is important for prompt, accurate diagnosis and treatment of heart conditions, especially in accurate identification, of left BBB. This work proposes a new wrapper based hybrid approach for the detection of BBB that uses a Genetic Algorithm (GA) in combination with Artificial Neural Networks (ANN) to improve classification accuracy. Nineteen temporal features and three morphological features were extracted and normalized for each heartbeat from standard ECG recordings obtained from the MIT-BIH Arrhythmia database. The GA-ANN Hybrid resulted in improved sensitivity, specificity and accuracy (98%, 98% and 98% respectively) compared to the Principal Components Analysis (PCA)-ANN method (55%, 98% and 77% respectively) in the presence of noise. The GA-ANN Hybrid provides a better, more accurate identification for presence of BBB from ECG recordings leading to more timely diagnosis and treatment outcomes.
Original languageEnglish
Title of host publicationComputing in Cardiology 2016
Subtitle of host publicationVolume 43
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages461-464
Number of pages4
Volume43
ISBN (Electronic)9781509008957
ISBN (Print)9781509008964
Publication statusPublished - 2016
Event43rd Computing in Cardiology Conference, CinC 2016 - Marriot Hotel and Simon Fraser University, Vancouver, Canada
Duration: 11 Sep 201614 Sep 2016
https://web.archive.org/web/20170603121743/http://cinc2016.org (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7861973 (Conference proceedings)

Conference

Conference43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period11/09/1614/09/16
OtherComputing in Cardiology provides an international forum for scientists and professionals from the fields of medicine, physics, engineering and computer science, and has been held annually since 1974.
Internet address

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