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 language | English |
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Title of host publication | Computing in Cardiology 2016 |
Subtitle of host publication | Volume 43 |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 461-464 |
Number of pages | 4 |
Volume | 43 |
ISBN (Electronic) | 9781509008957 |
ISBN (Print) | 9781509008964 |
Publication status | Published - 2016 |
Event | 43rd Computing in Cardiology Conference, CinC 2016 - Marriot Hotel and Simon Fraser University, Vancouver, Canada Duration: 11 Sep 2016 → 14 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
Conference | 43rd Computing in Cardiology Conference, CinC 2016 |
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Country/Territory | Canada |
City | Vancouver |
Period | 11/09/16 → 14/09/16 |
Other | Computing 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. |
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