Analysis of Respiratory Physiological Signals in Medicine Applic ations

• Main Authors: Wang, Tsun Wei, 王遵偉
• Other Authors: Ning Taikang；Chi Chong-Yung
• Format: Others
• Language: en_US
• Published: 1994
• Online Access: http://ndltd.ncl.edu.tw/handle/03440148005776928624

碩士 === 國立清華大學 === 電機工程研究所 === 82 === This thesis proposes some analytic methods to respiratory physio logicalsignals. The goal of this thesis is to create features of respiratory signals and apply them to the clinical diagnosis and monitoring care system of respiratory system diseases. Being dif ferent with ECG signals, respiratory waveforms exist no unique s hape. Even for unique subject, respiratory signals acquisited in different situation and time will differ each others. So, the po ssible approach to identify respiratory waveforms with different respiratory diseases is using proper respiratory features to ind icate the characteristics of waveforms. This thesis extracts res piratory features from time domain , frequency domain and system modeling. The purpose of feature extraction is to take advantage of the difference of respiratory features for different diseases to achieve the recognition and classification of respiratory dis eases. This thesis researches a general and integrated solution of respiratory signal processing. First, through choice of respi ratory sensors, selection and design of A/D and amplifier interf ace circuits, and conversion of monitoring care data, we can acq uisit respiratory data. Then , the proposed methods are used to extract respiratory features. The extracted features are used to train artificial neural network to activate their classification ability. Finally, this thesis proposes some clinical application s and conclusions based on result of simulations.