小波变换和模糊识别技术在人体血压信号处理中的应用

基金项目: 高等学校博士学科点专项科研基金资助项目

详细信息

APPLICATION OF WAVELET TRANSFORM AND FUZZY RECOGNITION TECHOLOGY IN PROCESSING SIGNAL OF BLOOD PRESSURE

School of Mechano Electronics Engineering, Beijing Institute of Technology, Beijing 100081

摘要: 为了精确测量人体血压，如何对血压信号进行分析和处理是问题的关键．本文首次将小波理论和模糊识别理论相结合，并应用于人体血压波形信号的实际分析中；创造性地将离散小波和连续小波变换结合在一起，完成有用信号的特征提取，并用模糊识别的方法实现目标的识别．本文对各种波形信号的分析提供了非常有效的处理方法，具有很大的实际应用价值．
- 特征提取 /
- 小波变换 /
- 模糊识别
Abstract: It is a key question about how to analyze and process the blood pressure signal for precision measurement of blood pressure. The paper analyses the blood pressure signal with the theory of wavelet and fuzzy recognition. The characters of useful signal are extracted by transform of discrete wavelet and series wavelet and are recognized by the method of fuzzy recognition. The paper presents an effective method for signal processing.
- characters extraction /
- wavelet transform /
- fuzzy recognition