使用數位信號技術應用於生醫信號之分析

Abstract

先以儀器量取兩類五組的生醫信號；包括第一類是馬匹的球關節運動信號(1公尺/秒)和第二類是人體的膝關節振動信號；其中第一類有二個群組─正常馬匹的前肢球關節運動信號與馬匹的前肢患有水瘤症狀的滑膜炎的球關節運動信號，第二類有三個群組─正常人的膝關節快速與慢速振動信號、膝關節患有髕骨外翻症狀的快速與慢速膝關節振動信號與以貼布治療髕骨外翻後的快速與慢速振動信號，再運用自迴歸模型模擬信號並從時域、轉換域和頻域選取特定的特徵參數來分析、比較各類中的各群組的信號。

We use linear model to simulate two kinds of Bio-medical signals, and then to find certain parameters to differtiate each group of each kind of Bio-medical signals. We measure and store two kinds of Bio-medical signals—Signals from jetlock joints of performance horse, and those from knee joints of human bodies. This first kind consisit of 2 groups including the normal horses and those with synovitis especially windgall on the front legs, no lameness, and the other one 3 groups, the signals from normal knee joints, those from injured joints and others from those injured being treated by taping. Then we apply Autoregressvie process to model each kind of signals, and select 3 certain characteristic parameters from each domain – time domain, transform domain and frequency domain—to analyze and differentiate each group of each kind.