Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

Computers in Biology and Medicine
Oliver FaustU Rajendra Acharya

Abstract

Atrial Fibrillation (AF), either permanent or intermittent (paroxysnal AF), increases the risk of cardioembolic stroke. Accurate diagnosis of AF is obligatory for initiation of effective treatment to prevent stroke. Long term cardiac monitoring improves the likelihood of diagnosing paroxysmal AF. We used a deep learning system to detect AF beats in Heart Rate (HR) signals. The data was partitioned with a sliding window of 100 beats. The resulting signal blocks were directly fed into a deep Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The system was validated and tested with data from the MIT-BIH Atrial Fibrillation Database. It achieved 98.51% accuracy with 10-fold cross-validation (20 subjects) and 99.77% with blindfold validation (3 subjects). The proposed system structure is straight forward, because there is no need for information reduction through feature extraction. All the complexity resides in the deep learning system, which gets the entire information from a signal block. This setup leads to the robust performance for unknown data, as measured with the blind fold validation. The proposed Computer-Aided Diagnosis (CAD) system can be used for long-term monitoring of the human heart. To the best of ...Continue Reading

Citations

Mar 27, 2020·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Yuliang LiuZhiang Liu
May 21, 2020·Biomedical Engineering Letters·Mei-Ling Huang, Yan-Sheng Wu
Jun 9, 2020·Journal of Healthcare Engineering·Hongpo ZhangZongmin Wang
Sep 3, 2020·International Journal of Environmental Research and Public Health·Oliver FaustU Rajendra Acharya
May 6, 2020·International Journal of Environmental Research and Public Health·Oliver FaustU Rajendra Acharya
Jan 3, 2021·Medical & Biological Engineering & Computing·Xiangyu ZhangChengyu Liu
Sep 7, 2020·Computers in Biology and Medicine·Xiaoxi KangU Rajendra Acharya
Jan 23, 2021·International Journal of Environmental Research and Public Health·Ningrong LeiOliver Faust
Jul 14, 2020·Computers in Biology and Medicine·Shenda HongJimeng Sun
Jan 30, 2021·American Journal of Physiology. Heart and Circulatory Physiology·Ana María Sánchez de la NavaFrancisco Fernández-Avilés
Apr 27, 2021·Computational and Mathematical Methods in Medicine·Jingjing ShiQing Zhu
Jun 19, 2021·Physical and Engineering Sciences in Medicine·Hocine HamilDjaffar Ould Abdeslam
Apr 22, 2020·International Journal of Cardiology·Sarah W E BaalmanJoris R de Groot
Aug 10, 2020·Computers in Biology and Medicine·Jaypal Singh RajputU Rajendra Acharya
Aug 28, 2021·Diagnostics·Oliver FaustU Rajendra Acharya
Sep 4, 2021·Computer Methods and Programs in Biomedicine·Hongpo ZhangZongmin Wang
Sep 14, 2021·Frontiers in Physiology·Ricardo Salinas-MartínezFrida Sandberg
Jul 28, 2020·Computer Methods and Programs in Biomedicine·Shoukun ChenZhengrong Li
Sep 30, 2020·Computers in Biology and Medicine·Desmond Chuang Kiat SohU Rajendra Acharya

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