Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map

Diagnosing heart defects is generally done through the Certainty Factor (CF) approach and the Cognitive Map (CM) approach. The first problem is the lack of the Certainty Factor method, the CF value has not shown a semantic relationship between one evidence and another, so that it forms a complete ru...

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Main Author: Sumiati, .
Format: Thesis
Language:English
English
Published: 2023
Online Access:http://ur.aeu.edu.my/1167/1/Sumiati.pdf
http://ur.aeu.edu.my/1167/2/Sumiati-1-24.pdf
http://ur.aeu.edu.my/1167/
https://online.fliphtml5.com/sppgg/bfbl/?1717056008781
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spelling oai:ur.aeu.edu.my:11672024-05-30T08:02:07Z http://ur.aeu.edu.my/1167/ Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map Sumiati, . Diagnosing heart defects is generally done through the Certainty Factor (CF) approach and the Cognitive Map (CM) approach. The first problem is the lack of the Certainty Factor method, the CF value has not shown a semantic relationship between one evidence and another, so that it forms a complete rule and shows the degree of confidence with a clear map of evidence. The second problem lies in the weakness of CM, namely cognitive maps do not model certainty in variables but only form deductive reasoning. This research was conducted using the Certainty Cognitive Map (CCM) approach used to diagnose heart disorders based on electrocardiogram data. This research has 3 objectives To develop algorithms for detecting heart conditions as either abnormal or normal using the modified cognitive map (CM) approach, To develop detection algorithms for anomalous heart conditions based on the enhancement of Certainty Factor (CF) technique, and To evaluate and validate the effectiveness of the new proposed model specifically the Certainty Cognitive Map (CCM) for identifying heart defects. The results of this test were carried out using the Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) approaches. Based on the results CF Method gave a Mean Squared Error (MSE) of 0.24 and Root Mean Squared Error (RMSE) of 0.48. The results of testing the CM Method gave a Mean Squared Error (MSE) of 0.80 and Root Mean Squared Error (RMSE) of 0.89, the results of testing the MCF Method with a Mean Squared Error (MSE) of 0.79 and gave Root Mean Squared Error (RMSE) of 0.89. The test results of the MCM Method gave a Mean Squared Error (MSE) of 0.65 and Root Mean Squared Error (RMSE) of 0.80 and the test results of the CCM Method with a Mean Squared Error (MSE) of 0.15 and a Root Mean Squared Error (RMSE) of 0.39. So the CCM method which is a modification of CF and modification of CM provides a better level of accuracy in diagnosing heart defects as compared to the CF method and the CM method. 2023 Thesis NonPeerReviewed text en http://ur.aeu.edu.my/1167/1/Sumiati.pdf text en http://ur.aeu.edu.my/1167/2/Sumiati-1-24.pdf Sumiati, . (2023) Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map. Doctoral thesis, Asia e University. https://online.fliphtml5.com/sppgg/bfbl/?1717056008781
institution Asia e University
building AEU Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Asia e University
content_source AEU University Repository
url_provider http://ur.aeu.edu.my/
language English
English
description Diagnosing heart defects is generally done through the Certainty Factor (CF) approach and the Cognitive Map (CM) approach. The first problem is the lack of the Certainty Factor method, the CF value has not shown a semantic relationship between one evidence and another, so that it forms a complete rule and shows the degree of confidence with a clear map of evidence. The second problem lies in the weakness of CM, namely cognitive maps do not model certainty in variables but only form deductive reasoning. This research was conducted using the Certainty Cognitive Map (CCM) approach used to diagnose heart disorders based on electrocardiogram data. This research has 3 objectives To develop algorithms for detecting heart conditions as either abnormal or normal using the modified cognitive map (CM) approach, To develop detection algorithms for anomalous heart conditions based on the enhancement of Certainty Factor (CF) technique, and To evaluate and validate the effectiveness of the new proposed model specifically the Certainty Cognitive Map (CCM) for identifying heart defects. The results of this test were carried out using the Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) approaches. Based on the results CF Method gave a Mean Squared Error (MSE) of 0.24 and Root Mean Squared Error (RMSE) of 0.48. The results of testing the CM Method gave a Mean Squared Error (MSE) of 0.80 and Root Mean Squared Error (RMSE) of 0.89, the results of testing the MCF Method with a Mean Squared Error (MSE) of 0.79 and gave Root Mean Squared Error (RMSE) of 0.89. The test results of the MCM Method gave a Mean Squared Error (MSE) of 0.65 and Root Mean Squared Error (RMSE) of 0.80 and the test results of the CCM Method with a Mean Squared Error (MSE) of 0.15 and a Root Mean Squared Error (RMSE) of 0.39. So the CCM method which is a modification of CF and modification of CM provides a better level of accuracy in diagnosing heart defects as compared to the CF method and the CM method.
format Thesis
author Sumiati, .
spellingShingle Sumiati, .
Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
author_facet Sumiati, .
author_sort Sumiati, .
title Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
title_short Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
title_full Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
title_fullStr Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
title_full_unstemmed Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
title_sort heartbeat anomaly detection method based on electrocardiogram using improved certainty cognitive map
publishDate 2023
url http://ur.aeu.edu.my/1167/1/Sumiati.pdf
http://ur.aeu.edu.my/1167/2/Sumiati-1-24.pdf
http://ur.aeu.edu.my/1167/
https://online.fliphtml5.com/sppgg/bfbl/?1717056008781
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