Abstract:ECG signal plays an important role in clinical diagnosis of heart disease. But the noises, like the baseline drift affect the
accuracy of ECG diagnosis. Based on this, this paper presented an ECG baseline drift suppression method based on model-free adaptive
predictive control algorithm. Firstly, the implementation process prepared the data without baseline drift as the desired output. Then,
the model-free adaptive predictive control algorithm was used to calculate the input control signal. In the following, the estimation
and recognition of the pseudo-partial derivative was predicted, and finally the AI matrix according to the pseudo-partial derivative was
constructed. In this case, a control system was built. By controlling the signal, it was applied to the constructed system to suppress the
effect of the ecg baseline drift. The experimental results showed that the method could effectively suppress the drift of ECG baseline.
The method is versatile, the signal-noise ratio is high, and it has anextremely important practical value and clinical significance.
朱莉波,胡锐,聂欢. 基于无模型自适应控制的心电基线漂移抑制方法[J]. 中国医疗设备, 2018, 33(4): 42-45.
ZHU Libo, HU Rui, NIE Huan. Suppression Method of ECG Baseline Drift Based on Model-Free Adaptive Control. China Medical Devices, 2018, 33(4): 42-45.