摘要
基于智能听诊器,研究了心音信号采集与处理的新方法。心音采集部分包括传统的听诊头、耳机、微型麦克风及IC录音机。通过USB接口将采集的数据传输到计算机,并通过单自由度分析模型提取心音特征波形,计算心音特征值参数[T1,T2,T11,T12],它们是心音特征波形与阈值THV之间形成的交叉点所确定的时间间隔,与第一心音和第二心音有关,可用来判别正常或异常心音。文中通过采集大量的临床心音数据对正常/异常心音案例进行解析,验证了心音特征波形法在心音自动解析中的有效性。
This paper deals with the new methods for heart sound measurement and analysis using an intelligent stethoscope. The heart sound acquiring system consists of a traditional chest-piece, an earphone, a microphone and an IC recorder. The recorded data are transmitted to a computer through the USB interface for analysis based on cardiac sound characteristic waveform method（ CSCW）, which is extracted from an analytical model of single degree-of-freedom（SDOF）. Furthermore, the characteristic parameters [ T1, T2, TI 1, T12 ] are defined by the time intervals between the crossed points of the CSCW and a threshold value （THV）, which are related to the first sound and the second sound and are used to distinguish normal and abnormal heart sounds. A case study on the abnormal/ normal cardiac sounds is demonstrated to validate the efficiency of this proposed system and the cardiac sound characteristic waveform method.
出处
《西华大学学报（自然科学版）》
CAS
2009年第2期1-4,8,共5页
Journal of Xihua University:Natural Science Edition
基金
四川省教育厅自然科学基金重点项目(09209025)
西华大学人才引进项目(R0620907)
关键词
听诊器
心音
信号采集
信号处理
心音特征波形
stethoscope
heart sound
signal sampling
signal processing
cardiac sound characteristic waveform
作者简介
王海滨（1964-），女，云南省思茅人，教授，博士，主要从事心音信号的检测与处理研究。
