ECG-Based Arrhythmia Classification Using Deep Neural Networks

碩士 === 國立彰化師範大學 === 電子工程學系 === 107 === The diagnosis of arrhythmia has been a difficult task for a long time. Capturing these abnormal electrical activities needs a long-time ECG recording. The traditional approach is very time-consuming, it needs experienced Cardiologist to analyze each heartbeat o...

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Bibliographic Details
Main Authors: Huang,Yu-Jun, 黃鈺鈞
Other Authors: Chang, Meng-Chou
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/u7xj83