ID |
原文 |
译文 |
39916 |
(2)PPG和RPPG测量时存在环境光学噪声,以及肤色不同形成的个体差异性较大; |
(2) there is ambient optical noise in the PPG and RPPG measurement, and individual difference due to skin color is obvious; |
39917 |
(3)ECG和PPG检测属于接触式,容易带给患者不适感。 |
(3) the detections of ECG and PPG belong to contact type, which can easily bring discomfort to patients. |
39918 |
基于以上不足,提出了一种基于心冲击图(Ballistocardiogram,BCG)的HRV分析方法, |
Based on the shortcomings of the above methods, a HRV analysis method based on ballistocardiogram (BCG) is proposed. |
39919 |
该方法降低了传统设备用于HRV分析的成本,利用非接触检测减轻了患者不适感, |
It reduces the cost of traditional equipment for HRV analysis, and uses non-contact detection to alleviate the discomfort of patients. |
39920 |
独特的检测原理避免了个体差异性问题,在长期心血管疾病检测中起着至关重要的作用。 |
The unique detection principle avoids the problem of individual differences, which plays a vital role in long-term cardiovascular disease prediction. |
39921 |
实验中采用逆传播(Back propagation,BP)神经网络模型对心率异常进行预测分类,准确率达到80%,表明了该方法的先进性和可靠性。 |
In the experiment, the model of back propagation (BP) neural network is used to predict and classify abnormal heart rate with an accuracy rate of 80%, showing the advancement and reliability of the proposed method. |
39922 |
针对现代电子战电磁环境复杂,复合干扰信号有效特征难提取,识别难度大的问题,提出了一种基于伪平滑魏格纳-威利分布(Smoothed pseudo Wigner-Ville distribution,SPWVD)和改进AlexNet的复合干扰识别算法。 |
In view of the complex electromagnetic environment of modern electronic warfare, it is difficult to extract the effective features of composite jamming signals and identify them. In this paper, a combined jamming recognition algorithm based on smoothed pseudo Wigner-Ville distribution (SPWVD) and improved AlexNet is proposed. |
39923 |
该算法利用SPWVD对复合干扰信号进行时频分析, |
The algorithm uses the SPWVD to analyze the time and frequency of the composite jamming signal. |
39924 |
再利用图像处理技术对时频特征进行降维, |
Then the image processing technology is used to reduce the dimension of time-frequency characteristics. |
39925 |
最后结合改进的AlexNet模型,采用多个小的卷积核替代大的卷积核,删除全连接层7和局部响应归一化模块等手段,来减小网络参数从而加快计算速度,完成复合干扰信号的识别。 |
Finally, combined with the improved AlexNet model, the algorithm uses several small convolution kernels to replace the large convolution kernel, removes the full-connection layer 7 and the local response normalization module to reduce the network parameters and speed up the calculation, so as to realize the recognition of composite jamming signals. |