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ECG arrhythmia classification based on the fast ant colony clustering algorithm with improved spatiotemporal feature perception ability.

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第一作者： Shuguang,Qin

第一单位： Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.

作者： Shuguang,Qin ^[1] ; Linyue,Liu ^[2] ; Xinhong,Wang ^[1] ; Ning,Dong ^[3] ; Ning,Li ^[4] ; Qiangsun,Zheng ^[1]

作者单位： Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China. ^[1] School of Computer Science and Engineering, Xi'an Technological University, Xi'an, 710021, China. ^[2] Department of General Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China. ^[3] School of Electrical Engineering, Xi'an University of Technology, Xi'an, 710048, China. ^[4]

关键词 Dynamic pheromone volatility coefficient Dynamic time warping ECG arrhythmia classification LSTM Radix sort The ant colony clustering algorithm

DOI 10.1016/j.heliyon.2024.e37111

PMID 39319138

发布时间 2024-09-26

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ECG arrhythmia classification based on the fast ant colony clustering algorithm with improved spatiotemporal feature perception ability.

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ECG arrhythmia classification based on the fast ant colony clustering algorithm with improved spatiotemporal feature perception ability.

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