A Congestive Heart Failure Detection System via Multi-input Deep Learning Network
碩士 === 國立清華大學 === 電機工程學系所 === 107 === In this study, a fast detection system for congestive heart failure (CHF) based on multiple input neural network was proposed. To rapid screen, we offered a short-term analysis method to achieved this goal, which data size was 5 to 15 minute ECG data. The propo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/p8v2xc |