Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)最新文献
{"title":"Time course of increasing nonlinear properties of heart rate variability after heart transplantation","authors":"H. Dickhaus, C. Maier, L. Khadra, T. Maayah","doi":"10.1109/IEMBS.1998.745910","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745910","url":null,"abstract":"Heart transplant recipients show remarkable differences in the properties of their heart rate variability (HRV) compared to normal subjects. For eight patients, nonlinear behaviour of HRV is investigated at different dates after surgery. The method used is basically a statistical test procedure that compares the short term predictability of a measured time series of RR-intervals to that of an ensemble of surrogate data. Surrogate data share the same autocorrelation function with the underlaying RR-interval series but are otherwise random. Our results suggest an increasing physiological control of the grafted heart by the autonomous nervous system which is reflected in the p-values of our test procedure.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115081822","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}
{"title":"Classification of MR and CT images using genetic algorithms","authors":"Z. Dokur, T. Olmez, E. Yazgan","doi":"10.1109/IEMBS.1998.747149","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.747149","url":null,"abstract":"A modified restricted Coulomb energy (MoRCE) network trained by the genetic algorithm is presented. Each neuron of the network forms a closed region in the input space. The closed regions which are formed by the neurons overlap each other, like STAR. Genetic algorithms are used to improve the classification performances of the magnetic resonance (MR) and computer tomography (CT) images with minimized number of neurons. MoRCE is examined comparatively with multilayer perceptron (MLP), and restricted Coulomb energy (RCE). It is observed that MoRCE gives the best classification performance with less number of neurons after a short training time.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"117 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538293","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}
{"title":"A new spectro-temporal method for ECG morphology variability analysis","authors":"J. Leski, E. Czogala, N. Henzel, P. Rozentryt","doi":"10.1109/IEMBS.1998.745845","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745845","url":null,"abstract":"In the article a new spectro-temporal method appropriate to examine ECG amplitude variability is presented. The most important point of that methodology is that the amplitude variation within T wave can be effectively assessed independently of RT variations.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078502","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}
{"title":"The blood cell counting and classification from stationary suspensions by laser light scattering method","authors":"Ye Yang, Zhen-xi Zhang, Xinhui Yang, D. Jiang","doi":"10.1109/IEMBS.1998.746964","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746964","url":null,"abstract":"In order to overcome the disadvantages caused by the flow principle used in automatic counting and classification of blood cells, a new method of counting and classification of blood cells is presented in this paper. This method is a laser light scattering method from stationary suspensions. The blood cell is simulated by an isotropic sphere, and Mie scattering theory is used to describe the scattering of blood cells. In order to get the size distribution of blood cells from their scattered light intensity distribution, the NNLS method combined with Powell method and precision punishment method are used. The dependence between blood cell concentration and its scattered light intensity is obtained from experiment. It is shown that there exists a linear relationship between them. By this new method, the size distribution of red blood cells and white blood cells are obtained, and the white blood cells can be classified as lymphocyte, middle-sized cells and neutrocyte.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122374553","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}
{"title":"The application of cross-correlation method in blood flow sonography","authors":"Shangkai Gao, Guofu Xu, Shigao Chen, Lepeng Zeng","doi":"10.1109/IEMBS.1998.746942","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746942","url":null,"abstract":"The conventional Pulsed Wave (PW) Doppler blood flow analyzers with the sonogram display are widely used in clinical diagnosis. However, the system suffers from spectrum aliasing problems when the velocities exceed the Nyquist limit. Time domain Cross-Correlation (CC) method is superior to PW in the high velocity measurements. But, instead of the sonogram, the CC method can only provide the average velocity in the sample volume. Combining the PW with the CC method, the authors propose a joint CC-PW method which takes advantage of the sonogram output, but overcomes the aliasing problems. With this new method, the delay times of the received RF echoes from pulse-to-pulse are estimated by the CC method. The series of delay time with the related maximum value in cross-correlation function are then used to form a time sequence, which is finally sent to a spectrum analyzer to produce the sonogram. The principle of the method is described in detail and experimental results are given in the paper.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122769140","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}
Y. Noguchi, T. Hamada, T. Kawamura, F. Matsumoto, S. Sugimoto
{"title":"Highly accurate demodulation method of an IPFM model with an absolute refractory period","authors":"Y. Noguchi, T. Hamada, T. Kawamura, F. Matsumoto, S. Sugimoto","doi":"10.1109/IEMBS.1998.745913","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745913","url":null,"abstract":"An integral pulse frequency modulation (IPFM) model is a pulse generation mechanism model for the nervous systems and is one of the models which connects heart rate variability to autonomic nervous system activity. There is a refractory period just after a heart beat impulse occurs, in which no heart beat impulses occur at any rate. The IPFM model does not take the refractory period into account. It would be good to consider the refractory periods in order to make the IPFM model realistic. In this paper, we are examining the effects of the absolute refractory period on the spectral distortion properties and the demodulation accuracy. Spurious components, (which are caused by mutual interference among the frequency components), decreased as the absolute refractory period increased, while the side-band distortion around the input frequency components increased. The direct FFT method impairs demodulation accuracy as the absolute refractory period increases. Even the integral function (IF) method without taking the absolute refractory period into account can reduce the distortion that is peculiar to the absolute refractory period. Moreover, the IF method which took the absolute refractory period into account has higher demodulation accuracy in spite of the absolute refractory period.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122916225","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}
{"title":"Hybrid fuzzy-neural committee networks for recognition of swallow acceleration signals","authors":"N. P. Reddy, A. Das, D. Simcox","doi":"10.1109/IEMBS.1998.747136","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.747136","url":null,"abstract":"Swallowing gives rise to characteristic patterns of acceleration in normal and dysphagic individuals. Usually, there are several artifacts present in the signal due to speech, coughing, etc. In the present study, two sets of fuzzy-neural committee networks were developed and trained to recognized acceleration signals due to swallowing. Evaluation showed that the networks well recognized the swallow signals and artifacts.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121867497","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}
{"title":"Segmentation of ultrasonic ovarian images by texture features","authors":"Ching-Fen Jiang, Mu-Long Chen","doi":"10.1109/IEMBS.1998.745570","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745570","url":null,"abstract":"Auto-segmenting two-dimensional images of the ovary into non-ovarian, normal ovarian, and abnormal ovarian regions is required when using ultrasonic image to detect ovarian cancer. The texture-based segmentation method presented here is a pixel classifier based on four texture energy measures associated with each pixel in the images. The 25 two-dimensional feature masks are derived from 3 basic one-dimensional vectors to evaluate the classification results. Four of those features are selected as the bases for the automated clustering procedure. The segmented images produced as the result of applying the algorithm to an example image are presented and discussed. The automated clustering algorithm with these texture-feature masks has been found to hold promise as an automated segmentation method for ultrasonic ovarian images.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121919389","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}
{"title":"Generalized algorithm of detection and classification in uterine electromyography signal","authors":"M. Khalil, J. Duchêne, C. Marque","doi":"10.1109/IEMBS.1998.745171","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745171","url":null,"abstract":"In this paper, we present a method of detection and classification of events well adapted to uterine EMG processing. A multidimensional method of detection will be presented. It is based on the sequential computation of the likelihood ratio after signal decomposition on pertinent scales using wavelet transform. Hypothesis rejection is achieved using variance covariance matrices computed from the scales. This approach leads to different detection and isolation delays, the former being defined by the detection threshold, the latter depending on the estimation time of the covariance matrix. This method is adaptive and allows event detection without necessarily returning to the null hypothesis H/sub 0/. It has been applied on uterine EMG and gives satisfactory results in both detection and classification.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055770","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}
{"title":"Retinal blood vessel detection and tracking by matched Gaussian and Kalman filters","authors":"O. Chutatape, Liu Zheng, S. Krishnan","doi":"10.1109/IEMBS.1998.746160","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746160","url":null,"abstract":"Detection and tracking algorithms of the blood vessel network in the retinal images are proposed. Two main groups of algorithms are employed for this task, i.e., scanning and tracking. According to the known blood vessel feature, a second-order derivative Gaussian matched filter is designed and used to locate the center point and width of a vessel in its cross sectional profile. Together with this the extended Kalman filter is employed for the optimal linear estimation of the next possible location of blood vessel segment by appropriate formulation of its pattern changing process and observation model. To check the bifurcation in the vessel network, a simple branching detection strategy is implemented during tracking. The proposed algorithms all work well in the whole tracking process and can detect more complete vessel network in the ocular fundus photographs.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117088494","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}