Correlation dimension is an important parameter to measure a nonlinear time sequence quantitatively, and it is widely used to analyze biomedical signal, such as EEG and ECG.
相关维数是定量描述非线性时间序列的一个重要参数，在脑电、心电等生物医学信号的特征描述方面得到了广泛地应用。
The factors influencing the every parameter and image of electrocardiographic(ECG) machine were analysed.
分析影响监护仪显示的各项参数及图像因素。
Time-shift and scale parameter may be adjusted by the neural network. Therefore wavelet neural network may improve the detection rate and reliability of ECG signal.
通过网络的学习自适应地调整尺度参数和时移因子，提高了特征提取能力。
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