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2024-03-14
University Jilin ECG Systems Engineering College China Vector quantization School
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Expert Systems With Applications 53 (2016) 129–137
Contents lists available at ScienceDirect
Expert Systems With Applications
journal homepage: www.elsevier.com/locate/eswa
Dictionary learning for VQ feature extraction in ECG beats
classification
Tong Liu a, Yujuan Si a,c,∗, Dunwei Wen b, Mujun Zang a,d, Liuqi Lang c
a College of Communication Engineering, Jilin University, Changchun, Jilin 130012, China
b School of Computing and Information Systems, Athabasca University, Athabasca, Alberta T9S 3A3, Canada
c Zhuhai College of Jilin University, Zhuhai, Guangdong 519041, China
d School of Information and Electrical Engineering, Ludong University, Yantai 264025, China
a r t i c l e i n f o
Keywords:
ECG beats
Vector quantization
Classification
Feature extraction
k-medoids
k-means++
a b s t r a c t
Vector quantization(VQ) can perform efficient feature extraction from electrocardiogram (ECG) with the
advantages of dimensionality reduction and accuracy increase. However,


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