Poll R, Henssge R
Medical Academy Dresden, G.D.R.
Comput Methods Programs Biomed. 1988 Jan-Feb;26(1):75-80. doi: 10.1016/0169-2607(88)90077-6.
Algorithms for digital pattern recognition optimized for the demands of the physician are urgently needed. They have to provide high levels of recognition, accuracy, reliability, artefact rejection and flexibility in detecting different types of signal time-course. The microcomputer algorithm presented here works on the principle of Walsh-transformation of signal sections and in-image judging. The algorithm efficiently solves simple tasks, and also recognizes, for instance, ECG P-waves using the same algorithm. A test with 1054 randomly selected outpatient's ECG and with an additional 72 ECGs of inpatients with clinically proved myocardial infarcts produced the following results: The recognition ratio for the R-wave amounted to 98.8% with a failure ratio of 2.3%, while an initial common P-T-pattern was correctly recognized in 80.3% of cases, with a failure ratio of 4.9%. The algorithm was implemented on a Z80 microprocessor and on a single-chip computer Z8.
迫切需要针对医生的需求优化的数字模式识别算法。它们必须在检测不同类型的信号时间进程方面提供高水平的识别、准确性、可靠性、伪像抑制和灵活性。这里提出的微型计算机算法基于信号段的沃尔什变换和图像内判断原理工作。该算法能有效解决简单任务，并且还能使用相同算法识别例如心电图P波。对1054份随机选取的门诊患者心电图以及另外72份经临床证实患有心肌梗死的住院患者心电图进行的测试产生了以下结果：R波的识别率为98.8%，失败率为2.3%，而初始常见的P-T模式在80.3%的病例中被正确识别，失败率为4.9%。该算法在Z80微处理器和单片机Z8上实现。
