在上期的专题报道中,我们曾细致研究比较了Microsoft Windows3.1x、Microsoft Windows 95、IBM的OS/2 Warp Connect Version 3.0和Microsoft Windows NT Workstation3.51的强壮性和效能,其间我们采用了一套专门为此而编写的测试应用程...在上期的专题报道中,我们曾细致研究比较了Microsoft Windows3.1x、Microsoft Windows 95、IBM的OS/2 Warp Connect Version 3.0和Microsoft Windows NT Workstation3.51的强壮性和效能,其间我们采用了一套专门为此而编写的测试应用程序。在此我们将继续深入研究这些程序的内部工作情况,以便从某种程度上研究一下这些被测操作系统的体系结构。这项测试分四个部分:展开更多
1方法对冠心病(Coronary artery disease,CAD)和心肌梗死(Myocardial infarction,MI)的早期诊断能有效防止病情的恶化.本文提出了一种基于深度森林的CAD与MI智能诊断算法,具体原理如图1所示.采用PTB数据库和St.-Petersburg Institute of...1方法对冠心病(Coronary artery disease,CAD)和心肌梗死(Myocardial infarction,MI)的早期诊断能有效防止病情的恶化.本文提出了一种基于深度森林的CAD与MI智能诊断算法,具体原理如图1所示.采用PTB数据库和St.-Petersburg Institute of Cardiological Technics 12-lead Arrhythmia数据库的数据.首先对原始数据进行预处理(重采样、降噪、数据段截取),得到不含噪声的7s数据段,输送到深度森林模型中.展开更多
In electroencephalogram (EEG) modeling techniques, data segment selection is the first and still an important step. The influence of a set of data-segment-related parameters on feature extraction and classification in...In electroencephalogram (EEG) modeling techniques, data segment selection is the first and still an important step. The influence of a set of data-segment-related parameters on feature extraction and classification in an EEG-based brain-computer interface (BCI) was studied. An auto search algorithm was developed to study four datasegment-related parameters in each trial of 12 subjects’ EEG. The length of data segment (LDS), the start position of data (SPD) segment, AR order, and number of trials (NT) were used to build the model. The study showed that, compared with the classification ratio (CR) without parameter selection, the CR was increased by 20% to 30% with proper selection of these data-segment-related parameters, and the optimum parameter values were subject-dependent. This suggests that the data-segment-related parameters should be individualized when building models for BCI.展开更多
文摘在上期的专题报道中,我们曾细致研究比较了Microsoft Windows3.1x、Microsoft Windows 95、IBM的OS/2 Warp Connect Version 3.0和Microsoft Windows NT Workstation3.51的强壮性和效能,其间我们采用了一套专门为此而编写的测试应用程序。在此我们将继续深入研究这些程序的内部工作情况,以便从某种程度上研究一下这些被测操作系统的体系结构。这项测试分四个部分:
文摘1方法对冠心病(Coronary artery disease,CAD)和心肌梗死(Myocardial infarction,MI)的早期诊断能有效防止病情的恶化.本文提出了一种基于深度森林的CAD与MI智能诊断算法,具体原理如图1所示.采用PTB数据库和St.-Petersburg Institute of Cardiological Technics 12-lead Arrhythmia数据库的数据.首先对原始数据进行预处理(重采样、降噪、数据段截取),得到不含噪声的7s数据段,输送到深度森林模型中.
文摘In electroencephalogram (EEG) modeling techniques, data segment selection is the first and still an important step. The influence of a set of data-segment-related parameters on feature extraction and classification in an EEG-based brain-computer interface (BCI) was studied. An auto search algorithm was developed to study four datasegment-related parameters in each trial of 12 subjects’ EEG. The length of data segment (LDS), the start position of data (SPD) segment, AR order, and number of trials (NT) were used to build the model. The study showed that, compared with the classification ratio (CR) without parameter selection, the CR was increased by 20% to 30% with proper selection of these data-segment-related parameters, and the optimum parameter values were subject-dependent. This suggests that the data-segment-related parameters should be individualized when building models for BCI.
