状态机识别算法在柯氏音血压系统中的研究

基于柯氏音法的血压测量系统,相较于采用示波法的电子血压计,有着更为科学和准确的优点。其原理是将测量柯氏音的过程录入到电脑中,并且实时识别和测量出柯氏音及血压值。但由于识别处理算法的限制,容易遗漏或误判个别柯氏音,导致柯氏音的识别和血压的测量始终存在误差。因此,提出利用状态机识别算法,从而改进血压测量系统的方法,并在理论上分析了该方法的正确性,通过一系列的实验测试表明该方法不仅识别精度高,解决了遗漏个别柯氏音的难题,并且稳定性也非常好,从而保证了能够进一步将血压测量系统开发到手机平台,将其推广到更多的应用场合。

Research of the state machine algorithm in the Korotkoff sound blood pressure system

Blood pressure system based on the Korotkoff sound recognition method,compared with oscillometric electronic sphygmomanometer,is more scientific and accurate.The entire process of measuring Korotkoff sound is recorded into your computer through the microphone,so it could identify the Korotkoff sound and measure the blood pressure.However,due to the restrictions of the recognition algorithms,it is easier to miss several Korotkoff sounds,and then the pressure is always wrong.Therefore,this paper is using the circular buffer and the state machine recognition algorithms to improve blood pressure system.Through a series of experimental tests,it shows that the method is not only high recognition precision to solve the omission of several Korotkoff sounds,but also the good stability to ensure the blood pressure system to be further developed on the mobile platform and be used in more situations.