A DenseNet Based Approach of ECG Arrhythmia Classification Using IntroVAE for Data Augmentation

碩士 === 國立中興大學 === 資訊科學與工程學系所 === 107 === The purpose of this thesis is to adopt deep learning network with data augmentation to arrhythmia classification. Most of the recent studies regarding cardiovascular diseases identification are based on deep neural network with signal pre-processing or featur...

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Bibliographic Details
Main Authors: Kai-Hsiang Chin, 靳開翔
Other Authors: Huan Chen
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394021%22.&searchmode=basic