2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society最新文献_第4页

Tissue attenuation estimation based on standard ultrasonographic data 基于标准超声数据的组织衰减估计

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1017351

A. Míšek, J. Jan

引用次数: 0

A novel fuzzy neural network estimator for predicting hypoglycaemia in insulin-induced subjects 一种预测胰岛素诱导受试者低血糖的新型模糊神经网络估计器

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1020533

N. Ghevondian, H.T. Nguyen, S. Colagiuri

{"title":"A novel fuzzy neural network estimator for predicting hypoglycaemia in insulin-induced subjects","authors":"N. Ghevondian, H.T. Nguyen, S. Colagiuri","doi":"10.1109/IEMBS.2001.1020533","DOIUrl":"https://doi.org/10.1109/IEMBS.2001.1020533","url":null,"abstract":"Predicting the onset of hypoglycaemia can avoid major health complications in Type I insulin-dependent-diabetes-mellitus (IDDM) patients. This paper describes the design of a novel fuzzy neural network estimator algorithm (FNNE) for predicting the glycaemia profile and onset of hypoglycaemia in insulin-induced subjects, by modelling the changes in heart rate and skin impedance parameters. Hypoglycaemia was induced briefly in 12 volunteers (group A: 6 non-diabetic subjects and group B: 6 Type 1 IDDM patients) using insulin infusion. Their skin impedances, heart rates and actual blood glucose levels (BGL) were monitored at regular intervals. The FNNE algorithm was trained using all subjects from group A and validated/tested on the remaining subjects from group B. The mean error of estimation of BGL profile for the training data set (group A) was 0.107 (p < 0.05) and for the validation/test data set (group B) was 0.139 (p < 0.05). Furthermore, the FNNE algorithm was able to predict the onset of hypoglycaemia episodes in group A and group B with a mean error of 0.071 (p < 0.03) and 0. 176 (p < 0.05) respectively.","PeriodicalId":386546,"journal":{"name":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126183766","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: 18

Effects of mechanical pumping on the arterial pulse wave velocity: peripheral artery and micro-vessels 机械泵送对动脉脉搏波速度的影响:外周动脉和微血管

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1018897

Shu-Mei Wu, Y. Shau, Bor-Shyh Lin, F. Chong

引用次数: 0

Image pattern perception by interactive sound presentation 交互式声音呈现的图像模式感知

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1019662

Y. Nomura, S. Nishihama, M. Ozaki, T. Sugiura

引用次数: 3

Estimation of temperature distribution inside biological tissues by means of multifrequency microwave thermograph 用多频微波热像仪估计生物组织内温度分布

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1019693

B. Stec, A. Dobrowolski, W. Susek

引用次数: 3

Tomography simulation and reconstruction tools applied in the evaluation of parameters and techniques 层析成像模拟和重建工具在评价参数和技术中的应用

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1017224

D.F.G. de Azevedo, S. Helegda, P.C. Godoy, F. D. de Castro, M. D. de Castro

引用次数: 2

An IIOP architecture for Web-enabled physiological models 用于支持web的生理模型的IIOP体系结构

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1019735

Shixin Zhang, C. Dewey

{"title":"An IIOP architecture for Web-enabled physiological models","authors":"Shixin Zhang, C. Dewey","doi":"10.1109/IEMBS.2001.1019735","DOIUrl":"https://doi.org/10.1109/IEMBS.2001.1019735","url":null,"abstract":"This paper develops a specific information architecture to serve complex physiological information models and a means of delivering these models in a manner that allows interactive and distributed use. By redesign of existing models for distributed use, the IIOP (Internet Inter-ORB Protocol) architecture provides general access across the Internet; the methods are replicable with many different types of physiological models that produce a variety of results. This paper defines and explains the complete architecture for the user interface, the model encapsulation, and the communication layer between the client and server by developing a general example. Using the equivalent of interactive browsers to access remote models and display the results, the IIOP architecture is built up using platform-independent technology such as CORBA, Java and XML. The existing physiological models are first encapsulated by a suitable software language respect to the legacy models. Then CORBA IDL-XML interfaces are built accordingly as a broker interface connecting user interfaces to encapsulating interfaces. Therefore, the standard user interfaces on the browsers are easily built to access these models through the CORBA ORB and the encapsulating interfaces. This interface software is capable of interpreting and displaying very high-level descriptors and model output such that the amount of data required to be transmitted over the Internet is reduced.","PeriodicalId":386546,"journal":{"name":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340499","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

Linear inverse approaches for the reconstruction of epicardial and transmembrane potential patterns 线性逆入路重建心外膜和跨膜电位模式

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1018928

B. Messnarz, B. Tilg, R. Modre, G. Fischer, F. Hanser, P. Wach

引用次数: 0

Working on the Noltisalis database: measurement of nonlinear properties in heart rate variability signals 研究Noltisalis数据库:测量心率变异性信号的非线性特性

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1018991

M. Signorini, R. Sassi, S. Cerutti

{"title":"Working on the Noltisalis database: measurement of nonlinear properties in heart rate variability signals","authors":"M. Signorini, R. Sassi, S. Cerutti","doi":"10.1109/IEMBS.2001.1018991","DOIUrl":"https://doi.org/10.1109/IEMBS.2001.1018991","url":null,"abstract":"We present results obtained from the analysis of 50 heart rate variability series (HRV) which have been extracted from Holter recordings in the 24-hours in normal subjects and pathological patients. Data have been collected inside a multicentric research program, which aimed at the nonlinear analysis of HRV series. Multifractal approaches such as generalized structure functions have been used to characterize the HRV signal. Moreover, classical parameters for the analysis of the HRV signal over long time scales have been considered to perform a proper comparison. We considered classical time-domain indexes, \"monofractal\" characteristics (1/f/sup /spl alpha// spectrum; detrended fluctuation analysis) and a regularity statistic (approximate entropy). The hypothesis of nonlinearity for the HRV signal has been verified by computing the generalized structure function on a set of surrogate data (amplitude adjusted surrogate data). In most cases, the multifractal spectrum of the original HRV series significantly differs (t-test), from those obtained from surrogate signals. This result can be associated with the presence of nonlinear correlations in the HRV signal. Moreover, results show that nonlinear parameters can be used to separate normal subjects from patients suffering from cardiovascular diseases.","PeriodicalId":386546,"journal":{"name":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526919","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: 19

Quantitative assessment of respiratory derivation algorithms 呼吸衍生算法的定量评估

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI: 10.1109/IEMBS.2001.1020622

C. L. Mason, L. Tarassenko

引用次数: 49