Title | ||
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Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM. |
Abstract | ||
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Health care in developing countries demands systems-based screening solutions. In view of this, we present a new rhythm-based methodology for the point-of-care diagnosis of cardiac arrhythmia at a primary level. Such a system will reduce the workload of cardiologists significantly. The method begins by computing the RR-interval sequences from the electrocardiogram(ECG) signals. Then, the Fourier–Bessel (FB) expansion is used to obtain the intelligent series by converting the RR-interval sequences into more meaningful sequences that can characterize the underlying pathology of cardiac arrhythmia with a unique pattern. Ultimately, the obtained intelligent series are used as input to train the long short-term memory (LSTM) model for ECG classification. We have obtained an accuracy of 90.07% in classifying normal and the arrhythmia classes using MIT-BIH database. The results demonstrate that the proposed intelligent series can reveal remarkable differences between the normal and arrhythmia ECG signals. Thus, the proposed algorithm can be used as a primary screening tool for detecting cardiac arrhythmia. Potentially, the developed system can be used by paramedics in rural outreach programs with limited funding and expertise. Moreover, the use of single-lead and short-length ECG signals in the proposed system makes it a suitable candidate for applications that are intended for mobile and other hand-held or wearable devices. |
Year | DOI | Venue |
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2020 | 10.1016/j.compbiomed.2020.103753 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
LSTM,ECG,Arrhythmia,Fourier–Bessel sequences | Journal | 120 |
ISSN | Citations | PageRank |
0010-4825 | 1 | 0.34 |
References | Authors | |
27 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ashish Sharma | 1 | 1 | 0.34 |
Niranjan Garg | 2 | 1 | 0.34 |
Shivnarayan Patidar | 3 | 132 | 8.04 |
Ru-San Tan | 4 | 239 | 22.37 |
Rajendra Acharya U | 5 | 4666 | 296.34 |