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Volume 42 Issue 7
Jul.  2020
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Ming LIU, Xianhui MENG, Peng XIONG, Xiuling LIU. Detection of Paroxysmal Atrial Fibrillation Based on Kernel Sparse Coding[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1743-1749. doi: 10.11999/JEIT190582
Citation: Ming LIU, Xianhui MENG, Peng XIONG, Xiuling LIU. Detection of Paroxysmal Atrial Fibrillation Based on Kernel Sparse Coding[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1743-1749. doi: 10.11999/JEIT190582

Detection of Paroxysmal Atrial Fibrillation Based on Kernel Sparse Coding

doi: 10.11999/JEIT190582
Funds:  The National Natural Science Fundation of China (61673158), The Natural Science Foundation of Hebei Province (F2018201070), The Graduate Innovation Funding Project of Hebei Province (CXZZSS2019006), The Hebei Young Talent Project (BJ2019044)
  • Received Date: 2019-08-01
  • Rev Recd Date: 2020-03-04
  • Available Online: 2020-03-27
  • Publish Date: 2020-07-23
  • Paroxysmal Atrial Fibrillation (PAF) is a kind of accidental arrhythmia, and its high missed detection rate leads to the increase of heart-related diseases. An automatic detection method is proposed based on kernel sparse coding, which can identify PAF attacks based only on short RR interval data. A special geometric structure is presented to analyze the high-dimensional characteristics of the data, and the covariance matrix is calculated as a feature descriptor to find the Riemannian manifold structure contained in the data; Based on the Log-Euclidean framework, a manifold method is used to map the manifold space to a high-dimensional renewable kernel Hilbert space to obtain a more accurate sparse representation to identify quickly PAF. After verification by the Massa-chusetts Institute of Technology-Beth Israel Hospital atrial fibrillation database, the sensitivity is 98.71%, the specificity is 98.43%, and the total accuracy rate is 98.57%. Therefore, this study has a substantial improvement in the detection of transient PAF and shows good potential for clinical monitoring and treatment.

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