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2008 International Seminar on Future BioMedical Information Engineering最新文献

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A Novel Portable Pulse Signal Recorder 一种新型便携式脉冲信号记录仪
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.105
Xiao Chen
{"title":"A Novel Portable Pulse Signal Recorder","authors":"Xiao Chen","doi":"10.1109/FBIE.2008.105","DOIUrl":"https://doi.org/10.1109/FBIE.2008.105","url":null,"abstract":"The real-time detection of pulse signal has important meaning for the early discovering and treatment of heart diseases. A novel pulse signal-recording instrument based on system-on-chip and separated universal serial bus (USB) interface chip is developed. The hardware system and application software are designed and the whole principle of various details in the device is described. The system selects the integrated pulse sensor based on PVDF piezoelectric film to convert the pulse jumpiness of measured object into disposal electric signals. Then the system uses MSP430F system-on-chip with high integration to control and realize the acquisition, amplifying, filtering and analogy-to-digital conversion of pulse signals. Finally it records the pulse signals in the flash disk memorizer through separate USB interface chip CH375 after compressing and coding by two-sample value adaptive algorithm. The system has many advantages such as small volume, convenient usage and strong function. It can be taken portably.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663489","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
Some Research on Value Range of Equal Weight Portfolio Risk 等权重投资组合风险价值区间的若干研究
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.27
Xue Deng, Rongjun Li
{"title":"Some Research on Value Range of Equal Weight Portfolio Risk","authors":"Xue Deng, Rongjun Li","doi":"10.1109/FBIE.2008.27","DOIUrl":"https://doi.org/10.1109/FBIE.2008.27","url":null,"abstract":"Equal weight portfolio is an effective way of dispersing investment risk on the research of portfolio investment. The purpose of this paper is to present the more accurate value ranges and some recent results of the variance of return rate for equal weight portfolio investment, and to obtain some sufficient and necessary conditions for equal weight portfolio investment being optimal portfolio investment. These obtained results in theory have a significant effect on the theory research of modern portfolio investment. Finally, two numerical examples show the effectiveness of our obtained results.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129991890","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
Alternating Projection Algorithm of Linear Regression Method with Convex Constraint in Cerebral Stroke Patients' Psychological Analysis 凸约束线性回归法交替投影算法在脑卒中患者心理分析中的应用
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.103
Hengqing Tong, Wenjuan Wang, Xiaochuan Lu
{"title":"Alternating Projection Algorithm of Linear Regression Method with Convex Constraint in Cerebral Stroke Patients' Psychological Analysis","authors":"Hengqing Tong, Wenjuan Wang, Xiaochuan Lu","doi":"10.1109/FBIE.2008.103","DOIUrl":"https://doi.org/10.1109/FBIE.2008.103","url":null,"abstract":"Investigations show that the rehabilitation of cerebral stroke patients depends on their psychological condition in particular. Therefore, studying psychological condition of cerebral stroke patients is very important. Psychological characteristics analysis of cerebral stroke patients now becomes the hot domain in biomedical field. In this paper, we propose the key indexes on cerebral stroke patients based on these characteristics, including emotion, depression, and anxiety etc. According to these indexes we build a detailed mental scale. Using the scale we can obtain a norm of cerebral stroke patients. Based on the norm we propose a kind of generalized linear regression model with convex constraint, in which the dependent variable and regression coefficients all are unknown. We give the least square estimation of parameters using the alternating projection algorithm between two convex sets. After getting the solution of the evaluation model we can realize the evaluation cerebral stroke patients. Our work may give a useful tool for evaluation and a precondition for deep research of the cerebral stroke patients.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126628783","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 PSO Method of GM to Fault Diagnosis in NC Machine Tool 基于遗传算法的粒子群算法在数控机床故障诊断中的应用
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.51
Ma Xiao
{"title":"A PSO Method of GM to Fault Diagnosis in NC Machine Tool","authors":"Ma Xiao","doi":"10.1109/FBIE.2008.51","DOIUrl":"https://doi.org/10.1109/FBIE.2008.51","url":null,"abstract":"The reliability tests of NC machine tools are with great importance for supply corporations to learn and further improve their products quality. But the overall and long-term tests are often with many costs. The grey model could forecast the long-term fault information from few short-term samples. During modeling, the grey model adopts a mean approximation to disperse the first order differential equation. The particle swarm optimization, as a multi-dimension search method is adopted here to find the optimal proportion point. The experiments show that the forecasting result of the optimized grey model is improved.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"918 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123494548","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
Patent Pool: A Solution to the Problm of TD-SCDMA's Commercialization 专利池:TD-SCDMA商用化问题的解决方案
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.90
Dazheng Wang
{"title":"Patent Pool: A Solution to the Problm of TD-SCDMA's Commercialization","authors":"Dazheng Wang","doi":"10.1109/FBIE.2008.90","DOIUrl":"https://doi.org/10.1109/FBIE.2008.90","url":null,"abstract":"Although patent pools were dissolved by antitrust laws after World War II, more and more patent pools have been formed again since 1990s, especially in electronics and information industries with the emergence of new technological-economic paradigm. After introducing the evolution of wireless telephone technology and its standards from 1G to 3G in Part II, Part III this paper depicts the outstanding technical advantages of TD-SCDMA standard and its commercial potential, analyzes its serious problems in patents distribution and commercialization compared to WCDMA and CDMA-2000. Part IV discusses the benefits from the pooling of telecommunications technology patents. The author argues that patent pools can help perfect the technical standard, eliminate patent thicket, create an efficient mechanism for obtaining rights to a patented technology and reduce various costs such as transaction cost. Finally, Part V points out that the commercialization of TD-SCDMA Standard need its own patent pool.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130318017","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
Improving Anti-interception Performance of Differential Frequency Hopping Communication 提高差分跳频通信的抗截获性能
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.87
Qu Xiaoxu, Lou Jingyi, Li An
{"title":"Improving Anti-interception Performance of Differential Frequency Hopping Communication","authors":"Qu Xiaoxu, Lou Jingyi, Li An","doi":"10.1109/FBIE.2008.87","DOIUrl":"https://doi.org/10.1109/FBIE.2008.87","url":null,"abstract":"Differential frequency hopping (DFH) is believed to have great potential in increasing the data rate of shortwave communication. Recent studies show that DFH suffers from an inherent serious drawback that its frequency transition matrix may be intercepted by any third-party receiver. This would heavily damage the anti-jamming performance of DFH. The root of this drawback is that differential frequency hopping sequence is not PN sequence but Markov chain. The invariant correlation between successive hops makes interception possible by statistically analyzing the intercepted DFH sequence. In this paper, we put forward a novel method named FH-DFH to deal with this problem. The basic idea of our method is to eliminate correlation between successive frequency hops by combining DFH with conventional FH technique. Analytical and simulation results show that DFH system using our method exhibits better anti-interception performance than not only normal DFH system but also oTVG-DFH system.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740856","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
An Extended Access Control Model Based on Role and Department 基于角色和部门的扩展访问控制模型
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.115
Gang Chen, J. Gu, Jianxun Chen
{"title":"An Extended Access Control Model Based on Role and Department","authors":"Gang Chen, J. Gu, Jianxun Chen","doi":"10.1109/FBIE.2008.115","DOIUrl":"https://doi.org/10.1109/FBIE.2008.115","url":null,"abstract":"This a new access control model DRBAC based on role and department is proposed, which extends the traditional role-based access control (RBAC) model. The new model adds the abstraction of the department property and simplifies the operational process by means of the authenticating management based on transaction.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120985244","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
A Wavelet Based Solution to Extract AN Components from Electromyogram 一种基于小波的肌电图AN分量提取方法
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.98
Wang Mingyi, Wan Liqi
{"title":"A Wavelet Based Solution to Extract AN Components from Electromyogram","authors":"Wang Mingyi, Wan Liqi","doi":"10.1109/FBIE.2008.98","DOIUrl":"https://doi.org/10.1109/FBIE.2008.98","url":null,"abstract":"Wavelet transform has demonstrated its exception power on digital imaging processing, moreover in recent decades wavelet time-frequency distribution has been successfully applied into the biomedical images decomposition and reconstruction process including analysis and integration of electromyography (EMG). Whereas in medical practice one of the major drawbacks in clinical EMG diagnosis lies in the inefficiency on spiked components identification which have small amplitude but possess great value on Alcoholic Neuropathy (AN) diagnosis. In clinical EMG diagnosis time-frequency components with small amplitude or time transient characters are hard to be figured out owing to EMGpsilas masking effect upon these components and the presence of high-energy slow waves within image reconstruction interval. Aiming at this problem this paper puts forward a wavelet-based algorithm to attenuate EMG's masking effect, meantime weaken impact strength of transient noise interference. Wavelet transform is adopted and integrated into EMG data preprocessing operation, within whose process wavelet approximation is filtered out while wavelet details are extracted for further treatments. Wavelet coefficients treatment principle is based on the kurtosis probability theorem and error minimum square value criterion. Numerical simulation is implemented following above algorithm, whose computation consequence reveals that image characters of small amplitude AN components is strengthened by attenuating EMG's masking effects, meanwhile the valuable original image signatures is retained for latter analysis. Numerical results with and without wavelet preprocessing are listed for comparison, which indicate image readability degree is enhanced obviously, moreover there also exists potentials for further improvements.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683430","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
DNA Microarray Expression Analysis and Data Mining for Blood Cancer 血癌DNA微阵列表达分析与数据挖掘
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.68
Dongguang Li
{"title":"DNA Microarray Expression Analysis and Data Mining for Blood Cancer","authors":"Dongguang Li","doi":"10.1109/FBIE.2008.68","DOIUrl":"https://doi.org/10.1109/FBIE.2008.68","url":null,"abstract":"The paper systematically presents how to discover useful information based on the DNA microarray expression data collected from mouse experiments for the leukemia research. The BCR-ABL oncogene is the cause of Ph+ leukemia. The BCR gene, on chromosome 22, breaks either at exon 1, exon 12/13, or exon 19 and fuses to the c-ABL gene on chromosome 9 to form, respectively, three types of BCR-ABL chimerical gene: P190, P210, or P230. Each of the three forms of the BCR-ABL oncogene is associated with a distinct type of human leukemia. An introduction to knowledge discovery from microarray experimental datasets has been provided. Specifically, the fold change analysis is discussed, step by step, based on the microarray data obtained from the mouse experiments of P190, P210 and P230. Many soft computing methodologies, involving fuzzy sets, neural networks, genetic algorithms, rough sets, wavelets, and their hybridizations, have recently been suggested to provide approximate solutions at low cost, thereby speeding up the process.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132679309","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
Ovarian Cancer Mass Spectrometry Data Analysis Based on ICA Algorithm 基于ICA算法的卵巢癌质谱数据分析
2008 International Seminar on Future BioMedical Information Engineering Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.101
Zhaoxin Wang, Yihui Liu, L. Bai
{"title":"Ovarian Cancer Mass Spectrometry Data Analysis Based on ICA Algorithm","authors":"Zhaoxin Wang, Yihui Liu, L. Bai","doi":"10.1109/FBIE.2008.101","DOIUrl":"https://doi.org/10.1109/FBIE.2008.101","url":null,"abstract":"Independent component analysis (ICA) can find hidden information on the mass spectrometry (MS) data. However, ICA does not take advantage of prior information in the construction of sub-space, as no consideration is taken about the class information. In this research a supervised version of ICA (SICA) is introduced. Due to the large amount of information contained within MS data, the 'curse of dimensionality' must be solved before ICA and SICA are employed. This paper examines the performance of ICA and SICA using the following feature extraction and feature selection algorithms on ovarian cancer MS data, namely principal component analysis (PCA), 2nd-PCA, and T-test. Experimental results show that the performance of ICA and SICA can achieve good classification results on ovarian cancer MS dataset pre-processed by T-test.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129347452","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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