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研究数学形态学滤波器消除心电图波形的基线漂移。选择Maragos类型形态滤波器,得到平结构元为消除波形基线漂移最佳形态滤波形式,信号的衰减幅度由信号数字频率与结构元长度的比值唯一决定,由此归纳出平结构元长度大于或等于要滤波除去的分量的横向宽度的结论。借助Matlab软件进行算法模拟,并移植到DSP硬件平台上进行工程调试,实验表明,该方法运算简单,花费时间少于1 ms,能有效并实时地滤除基漂。
Investigate mathematical morphology filters to eliminate baseline wander of ECG waveforms. Select the Maragos type morphological filter to get the flat structure element as the best morphological filtering form to eliminate the baseline drift of the waveform. The attenuation amplitude of the signal is determined only by the ratio of the digital frequency of the signal and the length of the structure element, thus the flat structure element length is greater than or equal to The conclusion of the horizontal width of the component to be filtered is filtered. The algorithm is simulated by Matlab software and transplanted to the DSP hardware platform for project debugging. Experiments show that this method is easy to operate and less than 1 ms, which can effectively and in real time filter the base drift.