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Title: :  AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING
PaperId: :  19455
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19455
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sai Teja GanjiVasireddy Venkatadri Institute of Technology
Vattikonda AshokVasireddy Venkatadri Institute of Technology
Nandigama Sagar BabuVasireddy Venkatadri Institute of Technology

Abstract

Bio Medical and Computer Science Engineering
Atrial Fibrillation, MIT- BIH Database, Bi-Directional LSTM
The condition of atrial fibrillation (Afib) involves irregular beating of the heart's upper chambers (atria), which can increase the risk of stroke caused by a blood clot. The identification of paroxysmal AF can be improved through prolonged cardiac monitoring. To identify AF beats in Heart Beat (HR) signals, a machine learning model was employed, where the dataset is divided into sliding windows of 100-beat sequences. These sequences are then fed into a model that comprises a Bi-Directional LSTM layer, a Global max pooling layer, a Dense layer, a Dropout layer, and an output layer. The model was trained and tested using the MIT-BIH Atrial Fibrillation Database. The approach achieved high accuracy rates during training and validation, with a 98.15% accuracy rate. Additionally, the 7-fold cross-validation on 20 subjects yielded an accuracy rate of 93.43%, while testing with unknown data from 3 subjects resulted in an accuracy rate of 99.2%. The model performed well on untrained data, as demonstrated by the complete setup. The neural network architecture used in the proposed model was straightforward and consisted of simple deep-learning layers. Moreover, the proposed model demonstrated better efficiency.

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IJARIIE Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. "AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 641-645
MLA Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. "AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 641-645.
APA Sai Teja Ganji, Vattikonda Ashok, & Nandigama Sagar Babu. (2023). AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 641-645.
Chicago Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. "AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 641-645.
Oxford Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. 'AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 641-645. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AUTOMATED_DETECTION_OF_ATRIAL_FIBRILLATION_USING_DEEP_LEARNING_ijariie19455.pdf (Accessed : 05 April 2023).
Harvard Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. (2023) 'AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 641-645IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AUTOMATED_DETECTION_OF_ATRIAL_FIBRILLATION_USING_DEEP_LEARNING_ijariie19455.pdf (Accessed : 05 April 2023)
IEEE Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu, "AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 641-645, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/AUTOMATED_DETECTION_OF_ATRIAL_FIBRILLATION_USING_DEEP_LEARNING_ijariie19455.pdf [Accessed : 05 April 2023].
Turabian Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. "AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (05 April 2023).
Vancouver Sai Teja Ganji, Vattikonda Ashok, and Nandigama Sagar Babu. AUTOMATED DETECTION OF ATRIAL FIBRILLATION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 05 April 2023]; 9(2) : 641-645. Available from: https://ijariie.com/AdminUploadPdf/AUTOMATED_DETECTION_OF_ATRIAL_FIBRILLATION_USING_DEEP_LEARNING_ijariie19455.pdf
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