2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)最新文献_第10页

A positive region-based dimensionality reduction from high dimensional data 一种基于区域的高维数据降维方法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401579

Dai Zhe, L. Jianhui

{"title":"A positive region-based dimensionality reduction from high dimensional data","authors":"Dai Zhe, L. Jianhui","doi":"10.1109/BMEI.2015.7401579","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401579","url":null,"abstract":"Dimensionality reduction is an important attribute process work. Dimensionality reduction, i.e, attribute reduction is to delete some uncesserary attributes at rough sets. At present, many attribute reduction methods have provided to delete some superfluous and irrelevant attributes from large-scale complete data sets. The main drawback of most attribute reduction algorithms is that they can not remove some examples in the process of dimensionality reduction, which degrades a computational efficiency of attribute reduction. To overcome this drawback, an improved attribute reduction algorithm for complete data sets is proposed. In addition, the classification performance of attribute reduction is optimized. At first, the compact decision system is presented to delete some repeated objects. Then the significance measure of attributes is provided for candidate attributes. In addition, the novel approach of attribute reduction under the proposed significance measure of attributes was developed. In order to verify the efficiency of our given algorithm, the experiments on UCI datasets are performed by comparing with other attribute reduction algorithms. The results on the experiments tell us that our given algorithm obtains promising improvement for selecting an attribute reduct.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A liquid conductivity measurement system based on electromagnetic induction 一种基于电磁感应的液体电导率测量系统

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401603

Jing Liu, Li Ke, Qiang Du, Ling Han

引用次数: 0

A comparison of the Homodyned K-distribution and the single distributions for RF ultrasonic speckle modeling 射频超声散斑建模中homodyk分布与单一分布的比较

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401487

Xiao Hu, Yufeng Zhang, Li Deng, Shuang Peng, Kexin Zhang

{"title":"A comparison of the Homodyned K-distribution and the single distributions for RF ultrasonic speckle modeling","authors":"Xiao Hu, Yufeng Zhang, Li Deng, Shuang Peng, Kexin Zhang","doi":"10.1109/BMEI.2015.7401487","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401487","url":null,"abstract":"For observing the parameters and the fitting performance, this paper compares the Homodyned K-distribution with the single distributions for RF ultrasonic speckle modeling. To implement different scatterer distributions representing a variable density of random scatterers with or without coherent component, A set of 3D scatterer models are built based on a three-dimensional Hilbert curve following Gamma distributions with different values of shape and scale parameters. The RF data are simulated by using the Field II software. Then the maximum likelihood estimation (MLE) for statistical histograms of the energy of the RF data is performed to obtain the values of log-likelihood and model parameters. In order to evaluate the fitting performance and parameter meaning of the HK distribution, the mean and standard deviation of these estimated values are compared with those based on the optimal fitting model chosen from commonly used single-distributions (OSD), the K, Rayleigh and Rician distributions. The results show the parameters of Homodyned K-distribution obtained by the MLE could independently represent the clustered, random or uniform characteristics for scatterer distribution. However, the fitting accuracy could only catch up with that based on the OSD joint model under the condition that the tissue contains the scatterers from medium to high effective-density, as well as deterministic or non-deterministic components. The OSD model is still a better choice in the case of the fitting performance emphasized in practice, especially the tissue with a wider range of scatterer densities and deterministic components.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An optimizing procedure of the wireless power transfer link for an intraocular implantable device 一种眼内植入式装置无线电力传输链路的优化方法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401526

Zhidong Miao, Dake Liu, Chen Gong

引用次数: 3

The magnetic induction tomography measurement system based on Helmholtz coil 基于亥姆霍兹线圈的磁感应层析成像测量系统

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401468

Haijun Luo, Xin Jiang

引用次数: 3

Analysis of scale variations of local features for accurate classification of Emphysema images 局部特征尺度变化分析对肺气肿图像的准确分类

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401464

Musibau A. Ibrahim, R. Mukundan

{"title":"Analysis of scale variations of local features for accurate classification of Emphysema images","authors":"Musibau A. Ibrahim, R. Mukundan","doi":"10.1109/BMEI.2015.7401464","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401464","url":null,"abstract":"The effectiveness of local or global features has recently attracted growing attention in the field of texture image classification and retrieval. The features of the local binary pattern (LBP) for instance, usually lack global spatial information while global descriptors would provide very little local information. This paper proposes two different descriptors to circumvent these shortcomings by providing more information to describe different textural structures of the Emphysema computed tomography (CT) images. The proposed LBP+Multi-fractal Images (LMI) and the rotational invariant LBP+Multi-fractal Images (RLMI) can provide more accurate classification results by using a hybrid concatenation of the local and global features. The experimental approaches are validated for different scales of Emphysema images during the classification process in order to determine the appropriate image size that could yield the maximum classification accuracy. The experimental results show that the descriptors extracted from the combined features considerably improve the performance of the classifiers. The results also indicate that the LMI descriptor outperforms the earlier approaches and demonstrate the discriminating power and robustness of the combined features for accurate classification of Emphysema CT images.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Target vessel identification in endoscopic coronary artery bypass grafting 内镜下冠状动脉旁路移植术中靶血管的识别

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401541

Yifeng Sun, Lixu Gu, Junfeng Cai

引用次数: 0

A novel method for predicting protein phosphorylation via site-modification network profiles 一种通过位点修饰网络预测蛋白磷酸化的新方法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401548

Zijun Qin, Minghui Wang, Yujie Jiang, Xiaoyi Xu, Huanqing Feng, Ao Li

引用次数: 0

Drowsiness assessment using electroencephalogram in driving simulator environment 驾驶模拟器环境下脑电图睡意评估

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401497

Izzat Aulia Akbar, T. Igasaki, N. Murayama, Zhencheng Hu

{"title":"Drowsiness assessment using electroencephalogram in driving simulator environment","authors":"Izzat Aulia Akbar, T. Igasaki, N. Murayama, Zhencheng Hu","doi":"10.1109/BMEI.2015.7401497","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401497","url":null,"abstract":"Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J <; 7) with P <; 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126209288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A coupled transport model of Brownian motors driven by two periodic forces 两个周期性力驱动的布朗电机耦合输运模型

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401512

Weixia Wu

引用次数: 0