臺灣博碩士論文加值系統

科技的發展，穿戴式技術的進步，為了人類的壽命更加長久，醫療技術的發展也隨著科技進步，呼吸與脈搏頻率可以看出人體本身的身體健康資訊，這些訊息可以提供給醫生及醫療上診斷更加的幫助，近年來心臟疾病或呼吸道疾病的患者更是有增無減，藉由本系統讓患者早期發現早期治療。
本文利用熱敏電阻及壓電陶瓷設計線路做為偵測人體本身呼吸及脈搏的工具，接上示波器來偵測人體的呼吸及脈搏頻率，觀察呼吸與脈搏之間的頻率關係是否有同步，並找尋或追蹤病患是否有心律不整及呼吸中止症之類的異狀反應。
本文呼吸數據為一分鐘6次，一般正常人為一分鐘12-16次，脈搏數據為一分鐘63次，一班正常成人為60-69次，將這些數據經由Python程式處理Hilbert Huang經驗模態分解得出我們的呼吸與脈博頻率，透過閃頻結果可以得出一個呼吸當中有幾個訊號，本論文實驗過程中有發現呼吸竇性心律不整。

The development of technology, the advancement of wearable technology, for the long life of human beings, the development of medical technology with the advancement of science and technology, breathing and pulse frequency can be seen in the body's own health information, this information can be provided to doctors and medical The diagnosis is even more helpful. In recent years, patients with heart disease or respiratory diseases have increased, and this system allows patients to find early treatment early.
This article uses the thermistor and piezoelectric buzzer design circuit as a tool to detect the body's breathing and pulse, connect the oscilloscope to detect the body's breathing and pulse frequency and observe whether the frequency relationship between breathing and pulse is synchronized. And find or track patients with abnormalities such as arrhythmia and respiratory depression.
The respiratory data in this paper is 6 times a minute, the normal person is 12-16 times a minute, the pulse data is 63 times a minute, and the normal adult is 60-69 times. The data is processed by the Python program to process the Hilbert Huang empirical mode decomposition. We can get our breathing and pulse frequency. Through the flash frequency result, we can get a few signals in a breath. During the experiment, we found respiratory sinus arrhythmia.

中文摘要...........iii
ABSTRACT...........iv
誌謝...........v
目錄...........vi
圖目錄...........viii
表目錄...........ix
第一章 緒論...........1
1.1 研究動機...........1
1.2 研究目的...........2
1.3 研究背景...........2
1.4 論文架構...........3
第二章 生理訊號相關理論...........4
2.1 呼吸作用原理...........4
2.2 脈搏作用原理...........6
2.3 心電圖原理...........9
2.4 脈搏與呼吸協調作用...........13
2.5 交感神經與副交感神跡系統...........14
第三章 量測方法...........16
3.1 量測步驟...........16
3.2 運算放大器原理...........18
3.3 壓電陶瓷原理...........20
3.4 熱敏電阻原理...........22
3.5 線路電源需求...........23
3.6 脈搏線路設計...........25
3.7 呼吸線路設計...........26
3.8 數據分析原理...........28
3.8.1 本質模態函數...........28
3.8.2 經驗模態分解...........29
3.8.3 停止準則...........33
3.8.4 邊界效應...........33
3.8.5 標準化轉換...........34
3.8.6 混模問題...........36
3.8.7 IMF的統計特性...........37
3.9 閃頻原理...........38
第四章 實驗結果與分析...........40
4.1 脈搏頻率分析結果...........40
4.2 呼吸頻率分析結果...........48
4.3 脈搏與呼吸間距關係圖...........55
4.4 閃頻結果...........56
第五章 結論與未來發展...........58
5.1 結論...........58
5.2 未來發展...........59
參考文獻...........60

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