發(fā)布時間：2018-03-11 22:06

  本文選題：呼吸　切入點：非接觸　出處：《燕山大學》2014年碩士論文　論文類型：學位論文

【摘要】：進行睡眠時呼吸檢測對預防睡眠呼吸暫停綜合癥以及監(jiān)測人體睡眠時的生命特征有著積極的意義。接觸式的檢測方法對人體的束縛性大，長時間的接觸式呼吸檢測會影響人的睡眠。針對上述問題，本文提出了一種基于電容調頻原理的非接觸檢測呼吸的方法，在保證測量結果準確的前提下避免了電極片或傳感器對人體的限制，提高了呼吸檢測過程的舒適性；利用嵌入式系統(tǒng)進行呼吸信號的采集與處理可以減小采集單元的體積與成本；采用藍牙技術進行呼吸信號的無線傳輸可以擴展本地采集系統(tǒng)的外部顯示功能，使診斷醫(yī)生或測試者能夠實時對呼吸狀況進行觀察。本文主要研究內容如下： (1)根據人體呼吸過程中的胸廓變化，利用檢測電極將胸廓變化轉換為電容變化并對振蕩電路進行調頻實現呼吸信號的非接觸測量。采用鑒頻電路與濾波電路，從調頻信號中解調出呼吸信號并進行放大與濾波，，實現呼吸信號的采集和處理。 (2)以ARM處理器與Windows CE操作系統(tǒng)為基礎進行呼吸信號的采集與處理，通過藍牙將采集到的呼吸信號實時發(fā)送至外部顯示設備；研究android系統(tǒng)下的應用程序開發(fā)，編程控制android設備接收呼吸信號并顯示，實現呼吸信號的實時監(jiān)測。 (3)睡眠時人體位置不固定導致檢測信號的失真和缺失，通過增加檢測電極的數量，從不同的位置對人體的呼吸信號進行多點檢測，彌補了單一檢測電極拾取信號的片面性和局部性，采用主分量分析的算法，把分布在不同位置的檢測電極所提供的局部不完整的呼吸信號加以綜合，消除多維檢測信號之間可能存在的冗余和干擾，加以互補、降低不確定性，提高呼吸信號的信噪比以及對呼吸信號的提取，實現呼吸信號非接觸測量。
[Abstract]:Sleep breathing detection is of great significance to the life characteristics of prevention of sleep apnea and monitoring of human sleep. Detection method of contact type binding to human contact, breathing detection long time can affect people's sleep. Aiming at the above problems, this paper proposes a method of non-contact detection of breathing based on the principle of capacitance frequency, to ensure accurate measurement results under the premise of avoiding the limitation of electrodes or sensors on the human body, improve the detection process of respiratory comfort; to use the embedded system to collect and process the respiratory signal acquisition unit can reduce the volume and cost; wireless transmission of respiratory signals using Bluetooth technology can the expansion of external local acquisition system display function, make the diagnosis of the doctor or tester can real-time on respiratory status were observed. This paper mainly studies The contents are as follows:
(1) according to the changes of human thoracic respiration process, using the detection electrode will change into the thorax and the change in capacitance oscillation circuit of frequency non contact measurement of the respiratory signal. The frequency discriminator circuit and filter circuit, demodulation of the respiratory signal from the frequency modulated signal and then amplified and filtered, and realize the collection the treatment of the respiratory signal.
(2) acquisition and processing based on ARM processor and Windows CE operating system as the basis for the respiratory signal, the collected real-time respiratory signal sent to the external display device via Bluetooth; application development of Android system, Android programming control device receives the respiration signal and display, real-time monitoring of the respiratory signal.
(3) sleep the body position is not fixed and the lack of distortion to the detection signal, by increasing the number of detection electrode, multi-point detection from different locations on the human respiratory signal, make up a single detection electrode signal picking up one sidedness and locality, using principal component analysis algorithm, the local is not complete the respiratory signal distribution provided in different locations of the detection electrode to be integrated to eliminate possible between multidimensional signal detection and interference are complementary, redundancy, reduce uncertainty and improve the signal-to-noise ratio and extraction of the respiratory signal of the respiratory signal, non contact measurement of the respiratory signal.

【學位授予單位】：燕山大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.23;TN925

【參考文獻】

相關期刊論文 前8條

1 郝連旺;宋濤;;呼吸信號檢測方法的研究[J];微納電子技術;2007年Z1期

2 胡寒冬;陳洪波;陳真誠;;便攜式睡眠呼吸暫停低通氣監(jiān)測儀的設計[J];電子測量與儀器學報;2011年09期

3 宋余慶,羅永剛,孫志揮;應用主分量分析與粗糙集處理的特征提取[J];計算機工程與應用;2004年22期

4 曾健平;邵艷潔;;Android系統(tǒng)架構及應用程序開發(fā)研究[J];微計算機信息;2011年09期

5 王平;何為;汪金剛;石小波;胡國輝;;基于嵌入式計算機系統(tǒng)的多參數監(jiān)護儀的研究[J];現代科學儀器;2007年02期

6 席濤,楊國勝,湯池;呼吸信號檢測技術的研究進展[J];醫(yī)療衛(wèi)生裝備;2004年12期

7 彭飛武;熊平;蔡曉珠;劉建庭;傅偉;;論心電信號檢測中的噪聲與干擾及其消除方法[J];醫(yī)療衛(wèi)生裝備;2007年09期

8 王建波;鄧親愷;郭勁松;馮學技;;一種新型的阻抗式呼吸檢測系統(tǒng)[J];中國醫(yī)療器械雜志;2009年02期

本文編號：1600103