Bahoura M, Hassani M, Hubin M
Laboratoire Capteurs, Instrumentation et Analyse, INSA de Rouen, Mont Saint Aignan, France.
Comput Methods Programs Biomed. 1997 Jan;52(1):35-44. doi: 10.1016/s0169-2607(97)01780-x.
An algorithm based on wavelet transform (WTs) suitable for real time implementation has been developed in order to detect ECG characteristics. In particular, QRS complexes, P and T waves may be distinguished from noise, baseline drift or artefacts. This algorithm is implemented in a DSP (SPROC-1400) with a 50 MHz frequency clock. The performance of this algorithm is discussed, its accuracy is evaluated and a comparison is made with a similar algorithm implemented in C language. For the standard MIT/BIH arrhythmia database, this algorithm correctly detects 99.7% of the QRS complexes.
为了检测心电图特征，已经开发了一种基于小波变换（WTs）的适用于实时实现的算法。特别地，QRS复合波、P波和T波可以与噪声、基线漂移或伪迹区分开来。该算法在一个频率为50MHz的数字信号处理器（SPROC - 1400）中实现。讨论了该算法的性能，评估了其准确性，并与用C语言实现的类似算法进行了比较。对于标准的麻省理工学院/贝斯以色列女执事医疗中心心律失常数据库，该算法能正确检测出99.7%的QRS复合波。
