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2013 6th International Conference on Biomedical Engineering and Informatics最新文献

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A 10-bit 1kS/s-30kS/s successive approximation register analog-to-digital converter for biological signal acquisition 用于生物信号采集的10位1kS/s- 30ks /s逐次逼近寄存器模数转换器
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746972
Wenliang Geng, Guoxing Wang, Kuan-Ting Lin, K. Tang
{"title":"A 10-bit 1kS/s-30kS/s successive approximation register analog-to-digital converter for biological signal acquisition","authors":"Wenliang Geng, Guoxing Wang, Kuan-Ting Lin, K. Tang","doi":"10.1109/BMEI.2013.6746972","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746972","url":null,"abstract":"This paper presents an ultra-low power successive approximation register analog-to-digital converter (SAR ADC) which works as a part of the biological signal acquisition system. The power supply voltage is decreased by utilizing bootstrapped switches. Binary weighted capacitor array is adopted to simplify the design and reduce the power dissipation of the control logic. The switching scheme ensures full-range sampling and avoids the dynamic offset of the comparator. Post-simulation results show that this ADC achieves the SNDR of 60.52dB at a sampling rate of 1kS/s. The power consumption is 130nW with a 1.2V power supply. This chip is fabricated in 0.18-μm TSMC 1P6M CMOS process and the die area is 1.4mm×1.4mm.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"C-29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126484710","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: 8
Active contour model coupling with backward diffusion for medical image segmentation 用于医学图像分割的主动轮廓模型与后向扩散耦合
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746915
Guodong Wang, Zhenkuan Pan, Weizhong Zhang, Qian Dong
{"title":"Active contour model coupling with backward diffusion for medical image segmentation","authors":"Guodong Wang, Zhenkuan Pan, Weizhong Zhang, Qian Dong","doi":"10.1109/BMEI.2013.6746915","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746915","url":null,"abstract":"Active contour models are very useful for image segmentation, but it is not true for images with intensity inhomogeneities which often occur in medical images. The reason is that the weak edge informations are disturbed by the intensity inhomogeneities, and the segmentation will be success if we enhance the edges. In order to overcome the difficulties caused by intensity inhomogeneities, we propose a region-based active contour model that coupling with backward diffusion which has the ability of edge enhancement for segmentation. In our model we replace the data term of piecewise constant approximation in CCV (Convex Chan-Vese) model with backward diffusion model to realize the alternating minimization of parameters of active contour evolution. Finally, the fast Split Bregman algorithm of the proposed coupling model is designed for the segmentation implementation. The performance of our method is demonstrated through numerical experiments of some medical image segmentations.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034067","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
Design and simulation of magnetic nanoparticles detector based on the nonlinear magnetization 基于非线性磁化的磁性纳米颗粒探测器的设计与仿真
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746984
Yan Tan, Yang Yu, X. Lv, Ming Wang
{"title":"Design and simulation of magnetic nanoparticles detector based on the nonlinear magnetization","authors":"Yan Tan, Yang Yu, X. Lv, Ming Wang","doi":"10.1109/BMEI.2013.6746984","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746984","url":null,"abstract":"Magnetic nanoparticles have been widely used in the field of biotechnology and medicine, which has a great importance to precise and quantitative detection. This paper introduces a magnetic nanoparticles detection device of low cost, high sensitivity and real-time, which is verified by simulation. When the diameter of the magnetic nanoparticles is in the range of 50nm ~ 200nm, the peak of the induced voltage is in the level of millivolt (0.3mV ~ 20mV), and the larger the diameter of the magnetic nanoparticles is, the greater the induced signal strength will be.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":" 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120932003","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
Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface 基于p300脑机接口幅相特性的信道选择
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746934
Yiyuan Wang, Jie Li, Rongjun Jian, Rong Gu
{"title":"Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface","authors":"Yiyuan Wang, Jie Li, Rongjun Jian, Rong Gu","doi":"10.1109/BMEI.2013.6746934","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746934","url":null,"abstract":"Brain-Computer Interface (BCI) paradigms communicate with external world through specific electrode positions. As the oscillatory brain activity varies with different individuals, the prior experience is not enough to select the optimal channels for pattern recognition. Most channel selections are based on amplitude features. In this paper, an approach for channel selection that combines amplitude and phase features is proposed. Applied to the data set IIb of BCI Competition 2003, the method for channel selection achieved an satisfying accuracy that only one letter was predicted as wrong among thirty-one letters.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121135974","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
An improved empirical mode decomposition-wavelet algorithm for phonocardiogram signal denoising and its application in the first and second heart sound extraction 一种改进的经验模态分解-小波算法心音信号去噪及其在一、二心音提取中的应用
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746931
Haozhou Sun, Wei Chen, Jing-yan Gong
{"title":"An improved empirical mode decomposition-wavelet algorithm for phonocardiogram signal denoising and its application in the first and second heart sound extraction","authors":"Haozhou Sun, Wei Chen, Jing-yan Gong","doi":"10.1109/BMEI.2013.6746931","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746931","url":null,"abstract":"In this paper, an improved EMD-Wavelet algorithm for PCG (Phonocardiogram) signal de-noising is proposed. Based on PCG signal processing theory, the S1/S2 components can be extracted by combining the improved EMD-Wavelet algorithm and Shannon energy envelope algorithm. By applying the wavelet transform algorithm and EMD (Empirical Mode Decomposition) for pre-procession, the PCG signal is well filtered. Based on the time frequency domain features of PCG's IMF components which is extracted from the EMD algorithm and energy envelope of the PCG, the S1/S2 components are pinpointed accurately. Experiments of thirty samples illustrate the proposed algorithm, which reveals that the accuracy for recognition of S1/S2 components is as high as 99.74%.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114294437","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: 25
Three dimension reconstruction of medical images based on an improved Marching Cubes algorithm 基于改进行军立方算法的医学图像三维重建
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746908
Lei Guo, Mingwen Hu, Y. Li, Weili Yan, Lei Zhao
{"title":"Three dimension reconstruction of medical images based on an improved Marching Cubes algorithm","authors":"Lei Guo, Mingwen Hu, Y. Li, Weili Yan, Lei Zhao","doi":"10.1109/BMEI.2013.6746908","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746908","url":null,"abstract":"Three dimension (3D) reconstruction of medical images is widely applied to clinical diagnosis and treatment. The Marching Cubes (MC) algorithm is a well-known surface rendering method. However, the standard MC visits all cubes including active and non-active cubes by sequential traversal in the process of the isosurface extraction from scalar volumetric data sets, which is time consuming and inefficient. In this study, combining the seeded region growing and the standard MC algorithm, an improved MC algorithm is proposed to reconstruct encephalic tissue and nasopharynx using Visualization Toolkit (VTK). The main idea of the new algorithm is to avoid the computation of non-active cubes. Theoretical analysis and experimental results show that the improved MC algorithm accelerates the 3D reconstruction of medical images and removes the noise from the segmentation stage. Moreover, normal calculation and mesh smoothing are investigated to improve the rendering effect.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122490409","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
Tightening data analysis and feature extraction for micro-blog recommendation 收紧微博推荐的数据分析和特征提取
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747026
Bo Li, Xiang Wu, B. Xiang, Hui Zhang
{"title":"Tightening data analysis and feature extraction for micro-blog recommendation","authors":"Bo Li, Xiang Wu, B. Xiang, Hui Zhang","doi":"10.1109/BMEI.2013.6747026","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747026","url":null,"abstract":"Information explosion in micro-blog services brings bad experience to users. Therefore, approaches that leverage users' preferences in applications of messages filtering, recommendation and searching were proposed by scholars in recent years. In general, features extraction is critical process in applying these approaches to applications. However, current researches have been focused on finding better models on varied features, but ignored why these features were used. To answer this question, we make an intuitive assumption that directly applying the result of data analysis, especially using the result of data analysis as features in our proposal, might lead to better performance than general raw features. In this paper, we propose to use these new features in a naive approach and a learning to rank approach for application of messages recommendation in micro-blog service. The experiments by the two approaches over a large real-world data set, which compare performance of proposed new features and raw features, support our assumption.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131622850","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 synthetic method for improving magnetic resonance image contrast: Simulation and phantom study 一种提高磁共振图像对比度的综合方法:仿真与模体研究
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746914
Yun-Ni Ting, Po-Chou Chen, Cheng-Hsin Wang, Herng-Hua Chang, W. Chu
{"title":"A synthetic method for improving magnetic resonance image contrast: Simulation and phantom study","authors":"Yun-Ni Ting, Po-Chou Chen, Cheng-Hsin Wang, Herng-Hua Chang, W. Chu","doi":"10.1109/BMEI.2013.6746914","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746914","url":null,"abstract":"Magnetic resonance imaging has been widely applied in many clinical diagnoses. In order to increase the accuracy of diagnosis, it is crucial to improve the image quality. This paper proposed a method that modifies the bilateral filter with automatic parameter selection in local contrast correction (LCC) capable to adjust image contrast while maintaining high image quality in MRI. The proposed approach was validated by using both simulated images and MR images of an ACR phantom. The results confirmed that the proposed method outperforms several existing methods in both quantitative measurements and visual evaluations.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133196415","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 dynamic model of intrusion prevention based on vaccine 基于疫苗的入侵防御动态模型
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747006
Yaping Jiang, Junwei Zhao
{"title":"A dynamic model of intrusion prevention based on vaccine","authors":"Yaping Jiang, Junwei Zhao","doi":"10.1109/BMEI.2013.6747006","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747006","url":null,"abstract":"The theory of modern immunology provides a new idea to study network intrusion detection and defense system. In view of the problem in the existing intrusion detection system such as poor collaboration, the low detection efficiency and so on, a dynamic model of intrusion prevention based on vaccine is proposed in this paper, in which the evolution process of self, antigen, antibody and vaccine is time-varying. The fitness of antibodies in the model is improved by vaccines with the result that the detection performance of the model is improved significantly. The experimental results show that the new model actualizes an active and dynamic prevention policy than that of the traditional passive intrusion prevention systems.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599020","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
A comparison of three types of pulse signals: Physical meaning and diagnosis performance 三种脉冲信号的比较:物理意义和诊断性能
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746962
Peng Wang, Hongzhi Zhang, W. Zuo, David Zhang, Qiufeng Wu
{"title":"A comparison of three types of pulse signals: Physical meaning and diagnosis performance","authors":"Peng Wang, Hongzhi Zhang, W. Zuo, David Zhang, Qiufeng Wu","doi":"10.1109/BMEI.2013.6746962","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746962","url":null,"abstract":"Pulse diagnosis has been extensively applied in China and Ayuredic for thousands of years. Recently more and more research interests have been given on computerized pulse diagnosis where sensor techniques are used to acquire the pulse signal and machine learning techniques are adopted to analyze the health condition based on the acquired pulse signals. By far, a number of sensors had been employed for pulse signal acquisition, which can be grouped into three categories, i.e., the pressure sensor, the photoelectric sensor, and the ultrasound sensor. To guide the sensor selection for computational pulse diagnosis, in this paper we analyze the physical meanings and sensitivities of signals sampled by these three types of sensors. The complementary information of different sensors is discussed from both cardiovascular fluid dynamics and comparative experiments by evaluating the disease classification performance. Signals acquired using different sensors are sensitive to different physiological and pathological factors. By combining signals from different sensor, improved diagnosis performance can be obtained.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121747221","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: 7
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