发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
The design of a constant voltage pulse stimulator for motor evoked potential monitoring 用于运动诱发电位监测的恒压脉冲刺激器的设计
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746968
Jianfei Wang, Shengjun Yang, Xiaomei Wu, Wen Wang
{"title":"The design of a constant voltage pulse stimulator for motor evoked potential monitoring","authors":"Jianfei Wang, Shengjun Yang, Xiaomei Wu, Wen Wang","doi":"10.1109/BMEI.2013.6746968","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746968","url":null,"abstract":"In order to fulfill the design requirements of motor evoked potential (MEP) stimulator in intraoperative neurophysiological monitoring (IONM) system, a kind of constant voltage pulse (CVP) stimulator has been designed. Two Flyback switching power supply (FSPS) circuits based on UC3845 provide the needed voltages. A transistor control circuit ensures that the voltage output is constant. An IGBT works as control switch to release pulses. The input and the output of the stimulator are physically isolated. Experimental results indicate that the stimulator has satisfied the design requirements. The parameters of output pulse are high-precision, rapid-response and wide-range with plenty options. When all setups are complete, the stimulator can release pulse within less than 100ms. The pulse highest amplitude is 900V. All parameters' relative errors are less than ±10%. The pulse rise time and fall time are less than 0.4μs. The stimulator can be also employed in other operations and be modified for constant current stimulation.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"101 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":"124144941","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
Feature reconstruction for 3D medical images processing 三维医学图像处理中的特征重构
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746909
Chung-Shing Wang, M. Lin, Chung-Chuan Wang, Ching-Fu Chen, Jeichen Hsieh
{"title":"Feature reconstruction for 3D medical images processing","authors":"Chung-Shing Wang, M. Lin, Chung-Chuan Wang, Ching-Fu Chen, Jeichen Hsieh","doi":"10.1109/BMEI.2013.6746909","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746909","url":null,"abstract":"Computed tomography (CT) greatly improves the image information available to surgeons and is quickly becoming one of the most important methods to identify defects in patients. However, doctors must check these CT slices again and again to find the exact position of the problem. This is not only a waste of time but also highly inefficient. This paper presents a rapid process to reconstruct three-dimensional (3D) surfaces from two-dimensional (2D) CT scanned data. Based on geometric model reconstruction, a series of 2D CT image slices were read and transformed into profiles and 3D B-spline patch models were then generated. The data could be converted to a VRML format for virtual surgical applications. An actual rapid prototyping model was created for checking the design process. CT images of a human pelvic bone and skull mask were used as case studies to construct a 3D solid model from medical images. The actual model will allow doctors to observe CT slices in 3D, decrease training time, and provide references for medical image research.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"93 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":"124438748","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: 3
Rapid gesture recognition for robert navigation 罗伯特导航的快速手势识别
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747018
Xiaoping Sun, Zhijie Wang
{"title":"Rapid gesture recognition for robert navigation","authors":"Xiaoping Sun, Zhijie Wang","doi":"10.1109/BMEI.2013.6747018","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747018","url":null,"abstract":"We propose a fast algorithm for automatically recognizing several common hand gestures and its application background is navigation of robot. The rapidity of this system reflects in four aspects: definition of gesture control signals, selection of gesture model, segmentation of hand gesture area, and features extraction. The experimental results show that the system can respond to gesture commands quickly and have good performance in real-time and accuracy.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"134 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":"122064640","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
Intimai flap segmentation on CTA aortic dissection images based on mathematical morphology 基于数学形态学的CTA主动脉夹层图像内膜瓣分割
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746923
C. Lohou, Nawel Fetnaci, P. Lubniewski, B. Miguel, P. Chabrot, L. Sarry
{"title":"Intimai flap segmentation on CTA aortic dissection images based on mathematical morphology","authors":"C. Lohou, Nawel Fetnaci, P. Lubniewski, B. Miguel, P. Chabrot, L. Sarry","doi":"10.1109/BMEI.2013.6746923","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746923","url":null,"abstract":"Aortic dissections are caused by tissue perforations: it consists of one or several intimal tears, two separate blood flow channels and a layer between them, called intimal flap. As far as we know, only a single study has been proposed to segment intimal flaps of aortic dissections images, it is based on geometrical assumptions. In this study, we use one Mathematical Morphology operator to extract the intimal flap from Computed Tomography Angiography images acquired after an aortic dissection. This image of flap directly allowed us to use a holes closing algorithm for 3D binary images to materialize intimal tears, by considering them as 3D holes. As far as we know, there is no other study which leads to intimal tears localization. That work is included into the preoperative part of a whole process consisting in registering aortic dissection features, extracted from a Computed Tomography Angiography image, onto intraoperative X-ray angiographic images, to assist clinicians during their intervention.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"23 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":"127239227","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: 3
A comparative study on algorithms for optimizing Debye model of tissue dielectric properties 组织介电性能Debye模型优化算法的比较研究
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746955
L. Zhang, Peiguo Liu, Chen Dan, Xuetao Shi, Xiuzhen Dong
{"title":"A comparative study on algorithms for optimizing Debye model of tissue dielectric properties","authors":"L. Zhang, Peiguo Liu, Chen Dan, Xuetao Shi, Xiuzhen Dong","doi":"10.1109/BMEI.2013.6746955","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746955","url":null,"abstract":"In order to simulate the interaction of tissues and electromagnetic fields, the dielectric properties of tissues are usually described by the multi-pole Debye model which is converted to the time domain easily instead of Cole-Cole model. This paper presents a comparative study of several algorithms used in optimizing the multi-pole Debye model of tissues dielectric properties. The algorithms are: graphical method, genetic algorithm (GA), simulated annealing algorithm (SA) and hybrid genetic algorithm (hybrid-GA). The accuracy and cost time of these algorithms in optimizing the multi-pole Debye model based on the data of literature and actual measurement are investigated. The results show the fit effects of these algorithms on frequency band and number of Debye poles for the optimizing model.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"43 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":"129053068","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 knee arthrometer for measuring varus, valgus, and rotation 测量内翻、外翻和旋转的膝关节计
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746956
Chen-Chou Lin
{"title":"A knee arthrometer for measuring varus, valgus, and rotation","authors":"Chen-Chou Lin","doi":"10.1109/BMEI.2013.6746956","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746956","url":null,"abstract":"Due to the characteristics of cruciate ligaments, knee ligament tears are not suitable to heal by remedy. Anterior cruciate ligament (ACL) reconstruction is one of the most common and reliable surgeries to handle knee ligament injuries. To date, most knee ligament reconstructions can be done by using endoscopic surgery. Although single bundle ACL reconstructions could improve the recovery of knee function, yet it was still not enough for the stability of the knee joint. In some cases instability might even develop to be osteoarthritis. Via some vitro tests, such as varus, valgus and rotation tests, the test results showed that the ligament after single bundle ACL reconstruction was not able to bear the rotational, and varus/valgus torque at the knee joint. That means using conventional arthrometer such as KT-1000 could lead to misdiagnosis in the above mentioned situation. We developed a new instrument to measure the extent of tibia's varus, valgus and rotation relative to the femur. Via the test data, the instrument could quantify the knee laxity and help surgeon to diagnose the injured knee more accurately and verify whether an ACL reconstruction was successful. The main function of the instrument is to test knee ligament laxity by measuring the varus/valgus angulation, and internal/external rotation with high sensitivity and data reproducibility. We verified the instrument's performance via experiments. The results of the experiments demonstrated the usability of the arthrometer.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"20 4 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":"129088007","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
Transition learning for creating diverse neural networks 转换学习用于创建不同的神经网络
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747045
Yong Liu
{"title":"Transition learning for creating diverse neural networks","authors":"Yong Liu","doi":"10.1109/BMEI.2013.6747045","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747045","url":null,"abstract":"Ensemble approaches have been widely applied to many real world problems as they have been growing into more complex. It is essential to create a set of different subsystems which subdivide the task. Negative correlation learning (NCL) and balanced ensemble learning (BEL) have been proposed to train a number of neural networks simultaneously and cooperatively in an ensemble. It has been found that the individual neural networks created by NCL are less different than those by BEL although NCL often displayed better performance than BEL on noisy data sets. This paper examines two types of transition learning based on NCL and BEL to observe how diversity among the individual neural networks will affect the performance of the ensemble.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"12 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":"123739533","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
Complexity analysis of electroencephalogram signal based on Jensen-Shannon divergence 基于Jensen-Shannon散度的脑电图信号复杂度分析
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746937
L. Gong, Jui-Pin Wang
{"title":"Complexity analysis of electroencephalogram signal based on Jensen-Shannon divergence","authors":"L. Gong, Jui-Pin Wang","doi":"10.1109/BMEI.2013.6746937","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746937","url":null,"abstract":"In this paper, complexity measure based on Jensen-Shannon Divergence was used to compute statistical complexity of the electroencephalogram signals, which include the electroencephalogram of younger and elder subjects from Nanjing General Hospital of Nanjing Military Command. The results show that two groups of signals have different statistical complexity measures. The electroencephalogram of elder subjects has the higher statistical complexity. The independent samples T test indicated that above-mentioned analysis could disclose significant differences among these two signals' complexity. It is demonstrated that statistical complexity based on Jensen-Shannon Divergence could effectively distinguish the electroencephalogram in 2 various age groups.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"1 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":"130648471","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 full smooth semi-support vector machine based on the cubic spline function 基于三次样条函数的全光滑半支持向量机
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747020
Jinggai Ma, Xiao-dan Zhang
{"title":"A full smooth semi-support vector machine based on the cubic spline function","authors":"Jinggai Ma, Xiao-dan Zhang","doi":"10.1109/BMEI.2013.6747020","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747020","url":null,"abstract":"The non-smooth problem for the semi-supervised support vector machine optimization model is studied. Since the objective function of the unstrained semi-supervised vector machine model is a non-smooth function. Most fast optimization algorithms can not be applied to solve the semi-supervised vector machine model. We propose a full smooth cubic spline function to approximate the symmetric hinge loss function. The Broyden-Fletcher-Goldfarb-Shanno(BFGS) algorithm is used to solve the new model. The experimental results show that the new model has a better classification performance.","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":"130240480","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: 3
Combining accelerometer data with Gabor energy feature vectors for body movements classification in ambulatory ECG signals 结合加速度计数据和Gabor能量特征向量对动态心电信号进行身体运动分类
2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746974
R. Kher, T. Pawar, V. Thakar
{"title":"Combining accelerometer data with Gabor energy feature vectors for body movements classification in ambulatory ECG signals","authors":"R. Kher, T. Pawar, V. Thakar","doi":"10.1109/BMEI.2013.6746974","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746974","url":null,"abstract":"Wearable ambulatory ECG (A-ECG) signals obtained using wearable ECG recorders inherently contain the motion artifacts due to various body movements of the subject. Classification of four such body movement activities (BMA) - left arm up-down, right arm up-down, waist twisting and walking-of five healthy subjects has been performed using artificial neural networks (ANN). The accelerometer data and the Gabor energy feature vectors have been combined to train the ANN. The overall BMA classification accuracy achieved by the ANN classifier is over 95%.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"76 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":"126204490","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信