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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/handle/u7xj83 |