脉搏波自动采集系统关键技术的研究

目前的脉搏波波形采集分析系统需要人为干预,其自动化程度低,且受人为因素影响比较大。本文结合心血管血流动力学参数的无创检测理论,利用光调制技术、单波提取以及基线漂移实时滤除等信号处理技术,设计了自动化程度较高的脉搏波自动采集分析系统,实现了脉搏波信号的增益自动调节、波形自动识别、基线漂移的实时滤除及波形的有效性自动判定。此脉搏波自动采集分析系统实现了脉搏波波形的自动采集,且无需人为干预,适宜在社区和家庭中应用。

Key Technologies of the Pulse Wave Automatic Acquisition System

Previous pulse waveform acquisition and analysis system generally required human intervention. It had a low automation degree and a large impact on human factors. In this paper, we applied some of new signal processing technologies, such as optical modulation, single wave extraction and baseline drift real-time filtering, combing with the non-invasive detection theory of cardiovascular hemodynamic parameters, and designed a higher degree of automation pulse wave acquisition and analysis system. The waveform acquisition and analysis system accomplished these functions of signal gain automatic adjustment, waveform automatic identification, baseline drift real-time filtering and waveform availability automatic judgment. It is indicated that the proposed system achieves the automatic acquisition without human intervention and adapts to the community and family.