The Segmentation and Classification of Breathing Acoustic Signal and Its Applications
碩士 === 國立中正大學 === 電機工程研究所 === 107 === Breath is an important indicator of human health. In the pass, it was generally to get the breathing signal by invasive methods. This paper constructs a non-invasive breathing acoustic signal recognition system by analyzing the breathing acoustic signal rece...
| 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/94vmgx |