2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)最新文献_第3页

The effects of head parameters on the specific absorption rate in the human head 头部参数对人体头部比吸收率的影响

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401542

Changqi Zhu, Dongsheng Wu, Lanlan Ping, Wenli Liang

引用次数: 4

An HTML5 based discoloration algorithm for people with low vision 一个基于HTML5的低视力人群变色算法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401619

Fanghua Yan, Guoqiang Liu, Yayu Zheng

{"title":"An HTML5 based discoloration algorithm for people with low vision","authors":"Fanghua Yan, Guoqiang Liu, Yayu Zheng","doi":"10.1109/BMEI.2015.7401619","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401619","url":null,"abstract":"With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"27 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":"116632454","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

Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach 用交错迭代频率复合方法降低散斑噪声的超声谐波成像

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401469

Wei Guo, Yuanyuan Wang, Jinhua Yu

{"title":"Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach","authors":"Wei Guo, Yuanyuan Wang, Jinhua Yu","doi":"10.1109/BMEI.2015.7401469","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401469","url":null,"abstract":"Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"8 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":"121807364","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: 1

Inter-level and intra-level deconvolution based image deblurring algorithm for wide field microscopy 基于层间和层内反卷积的宽视场显微图像去模糊算法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401479

Yanzhi Ding, I. Park, X. Cui, Van Huan Nguyen, Hakil Kim, T. Do, Wei Li

引用次数: 2

Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method 基于迭代阈值法的数字减影血管造影图像中动静脉畸形病灶和血管的分割

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401483

Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen

{"title":"Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method","authors":"Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen","doi":"10.1109/BMEI.2015.7401483","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401483","url":null,"abstract":"Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"66 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":"115788364","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 new method based on hough transform for quick line and circle detection 一种基于霍夫变换的直线和圆快速检测新方法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401472

Huashan Ye, G. Shang, Lina Wang, Min Zheng

引用次数: 43

Test of label-free Nasopharyngeal carinoma tissue at different stages by Raman spectroscopy 拉曼光谱法检测不同阶段无标记鼻咽癌组织

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401505

Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen

{"title":"Test of label-free Nasopharyngeal carinoma tissue at different stages by Raman spectroscopy","authors":"Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen","doi":"10.1109/BMEI.2015.7401505","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401505","url":null,"abstract":"Raman spectroscopy (RS) of Nasopharyngeal carcinoma (NPC) tissue contained various biomedicine features. These features indicated molecular-level information of tissue at different carcinoma development-level. This study suggested an automatic and quick method for the NPC Raman spectra classification at different stages by multivariate statistical analysis. In the RS measurement, high quality Raman spectra was acquired from each NPC tissue sample in two groups: one group consisted of 30 NPC patients at the early stages (I-II), another group was 46 NPC patients at the advanced stages (III-IV). Moreover, tentative diagnostic algorithms based on principle components analysis (PCA) and support vector machine (SVM) were employed to classify the multivariate data of Raman spectra effectively. The classification performance (sensitivities and specificities were 70% (21/30) and 91% (42/46)) was achieved by the PCA-SVM in conjunction with leave-one-out cross validation method. In this beneficial study, the RS technique in conjunction with PCA-SVM provided a great clinical potential for rapid NPC stage diagnosis.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"1 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":"131693595","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

Energy-balanced clustering routing protocol based on task separation in wireless sensor networks 无线传感器网络中基于任务分离的能量均衡聚类路由协议

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401608

Wei Sun, Xiaoying Song, Fasheng Wang

{"title":"Energy-balanced clustering routing protocol based on task separation in wireless sensor networks","authors":"Wei Sun, Xiaoying Song, Fasheng Wang","doi":"10.1109/BMEI.2015.7401608","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401608","url":null,"abstract":"Clustering protocol for data gathering is one of the effective ways to solve the energy hole problem in wireless sensor networks. However, most of the existing clustering protocols focus on the network model with uniform node distribution. They cannot effectively apply to the real network where the sensor nodes are randomly non-uniformly deployed. In this paper, we propose an energy-balanced clustering routing protocol (EBCRP) based on task separation. In this scheme, the network is firstly divided into clusters by using global information. And each of them has the same number of sensor nodes in order to balance the energy consumption of intra-cluster. In succession, task separation, the tasks of traditional single cluster head are separated and achieved by two cluster heads respectively, is proposed to reduce the traffic burden for single cluster head. Then, we explore an energy-efficient and reliable inter-cluster routing algorithm, which considers comprehensively three factors: residual energy, distance and available buffer space of nodes. Simulation results and performance evaluation of EBCRP show significant improvement in network lifetime and energy balance.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"44 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":"131961624","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

Design and implementation of the anesthesia machine monitoring system 麻醉机监控系统的设计与实现

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401615

Ming Huang, Zhenjuan Zhang

引用次数: 0

A three-dimensional positioning system based on RSSI for the wireless sensor network 基于RSSI的无线传感器网络三维定位系统

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI: 10.1109/BMEI.2015.7401606

Shan Liu, Fang Wang, Jianping Chai

引用次数: 1