摘要
在心电图诊断中,经常用到ST段的偏移和形态变化分析,由于ST段难以精确定位,使得ST段形态分析难以直接进行。本文考虑到ST段起点J难以确定,但S点与ST段融合后有较好的区分度,所以将S点到T波起点这段作为区分ST形态的数据段。首先利用小波变换准确地确定S点和ST段终点(T波起点),提取出数据段平滑后,经改进动态时间规整(dynamic time warping,DTW)算法即可得到ST段的形态。经MIT/BIHST-T数据库的验证,该方法能较好地识别出心电图ST段的5种常见压低形态,即上斜型、下陷型、水平型、下垂型、弓背型。
ST deviation and shape change are frequently used in ECG diagnosis. However, it is difficult to locate ST segment exactly, which makes the analysis of ST shape is not easy. Taking into account that the starting point of ST segment J is hard to locate, and the segment from S to the end of ST segment has a good differentiation, so we chose the segment from S to the end of ST segment as the ST segment. First, the ECG signals were analyzed by wavelets transform to identify the S and the ending point of the ST segment（ the starting point of T） accurately. After we smoothed this segment, the ST shape was discriminated with improved dynamic time warping algorithm. The proposed method was tested with MIT/BIH European ST-T database, it performed well in recognizing five common depression types, upsloping, sinking, horizontal, sagging and arching types.
出处
《北京生物医学工程》
2010年第5期492-496,共5页
Beijing Biomedical Engineering
关键词
心电图
小波变换
动态时间规整算法
ST段
ECG
wavelets transform
dynamic time warping algorithm
ST segment
