A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals
- Title
- A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals
- Creator
- Manjunath C.; Hemalatha K.L.; Sandya V.; Sunil G.; Shakir A.M.
- Description
- In this world, around 31% of the deaths are commonly caused because of cardiovascular diseases. Around 80% of sudden deaths occur due to cardiac arrhythmias and heart diseases. The mortality rate has increased for cardiac disease and therefore early heart disease detection is significant to preclude patients from dying. At the initial phase, the heart disease is detected by analyzing abnormal heartbeats. The existing models failed to select the features before performing the extraction of features. The developed model examined MIT-BIB database to surpass the overfitting issue. Therefore, in the present research work, the Gated Recurrent Unit (GRU) based Continual Normalization (CN) classifier is used to speed up the training to a higher learning rate to enable simpler learning for the standard deviation of the neurons' output. The extracted features were used to classify Electrocardiogram (ECG) signals into 5 important classes named as N, S, V, F & Q which denote the kinds of arrhythmia. The findings revealed that the proposed GRU based Continual Normalization technique obtained an accuracy of 99.41% which is better when compared with the existing researches. 2023 IEEE.
- Source
- IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Cardiac arrhythmias; Continual normalization; Electrocardiogram; Gated Recurrent Unit; MIT-BIH
- Coverage
- Manjunath C., CHRIST(Deemed to Be University), Department of Cse, Bengaluru, India; Hemalatha K.L., Sri Krishna Institute of Technology, Department of Information Science and Engineering, Bengaluru, India; Sandya V., Cmr Technical Campus, Department of CSE(Data Science), Hyderabad, India; Sunil G., School of Computer Science & Artificial Intelligence, Sr University, Warangal, India; Shakir A.M., The Islamic University, Najaf, Iraq
- Rights
- Restricted Access
- Relation
- ISBN: 979-835031646-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Manjunath C.; Hemalatha K.L.; Sandya V.; Sunil G.; Shakir A.M., “A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19684.