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。
Describes briefly the classification of multi-parameter monitor and emphasizes on the principle of monitoring ECG, NIBP, SpO2, Resp, Temp, PetCO2.
简述了多参数监护仪的分类，并着重阐述了心电、血压、血氧、呼吸、体温、呼吸末二氧化碳监护的原理及应用。
Describes briefly the classification of multi-parameter monitor and emphasizes on the principle of monitoring ECG, NIBP, SpO2, Resp, Temp, PetCO2.
简述了多参数监护仪的分类，并着重阐述了心电、血压、血氧、呼吸、体温、呼吸末二氧化碳监护的原理及应用。
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