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":"System identification of a circadian signal source using BP neural networks","authors":"Y. Cisse, Y. Kinouchi, H. Nagashino, M. Akutagawa","doi":"10.1109/IEMBS.1998.746130","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746130","url":null,"abstract":"The dynamics of some biological signal sources may be identified through measured data. The regulating characteristics of the wake-sleep circadian rhythm is identified here as an example by using BP neural networks. As a result, a MA model of neural networks can acquire the characteristics. The change of wake-sleep period is almost controlled suppressively by the data of preceding three days. The change of the dynamics can be evaluated by internal representation of the network. This method may be useful for medical diagnoses.","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":"34 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":"128158476","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}
B. Moretti, S. Ruan, M. Fadili, D. Bloyet, B. Mazoyer
{"title":"Phantom based segmentation assessment for MRI images","authors":"B. Moretti, S. Ruan, M. Fadili, D. Bloyet, B. Mazoyer","doi":"10.1109/IEMBS.1998.745473","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745473","url":null,"abstract":"This paper describes new effective methods for assessing the reliability of segmentation algorithms applied to encephalon extraction. The methods are based on the use of a brain phantom which provides a valuable global modeling of cerebral structures. Thanks to this realistic model, we create two original discrepancy measurements which are both applied to find the ideal parameters range for the segmentation algorithm proposed and to compare the accuracy of these methods. The most obvious application of this methodology lies in the extension of the results performed on the phantom to real 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":"15 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":"125252427","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}
A. Janusauskas, V. Marozas, B. Engdahl, O. Svensson, L. Sornmo
{"title":"Otoacoustic emissions and improved pass/fail separation using wavelet based denoising","authors":"A. Janusauskas, V. Marozas, B. Engdahl, O. Svensson, L. Sornmo","doi":"10.1109/IEMBS.1998.746156","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746156","url":null,"abstract":"A new technique is presented for the purpose of improving the pass/fail separation during a transient evoked otoacoustic emission screening procedure. The technique combines signal decomposition in octave bands using the wavelet transform with denoising, separate reconstruction of components representing octave bands and time windowing. The cross-correlation coefficient between processed TEOAE signals was used as a pass/fail criterion and assessed in relation to the mean hearing threshold. The performance is presented in terms of receiver operating characteristics for a database of 5214 individuals. The results show that the specificity improves by 12% in comparison with conventional TEOAE analysis when the sensitivity is held constant at 90%.","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":"22 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":"125674082","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":"Estimation of motor unit firing statistics from surface EMG","authors":"ZhengQuan Xu, S. Xiao","doi":"10.1109/IEMBS.1998.745114","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745114","url":null,"abstract":"We present a method for estimating the mean and standard deviation of inter-pulse intervals (IPIs) of individual motor unit action potential (MUAP) trains. Through a weighted matching between the observed IPI probability density function and the modeled function, the firing parameters are estimated. The weighted function is used to approximate the validity of IPI data so that all valid information provided by IPI data are utilized as far as possible. For this reason, the method can provide reliable estimations even the MUAP trains are extracted with significant errors. Thus, this method is very useful for estimating the firing statistics of surface EMG where the individual MUAP trains are difficult to be accurately identified.","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":"446 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":"125772700","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":"Air cushion action at the distal end of above-knee stump with a prosthetic socket","authors":"Ming Zhang, A. Mak, J. Mak","doi":"10.1109/IEMBS.1998.745248","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745248","url":null,"abstract":"The air cushion action over the distal end of residual limb with a prosthetic socket was investigated by experimental measurements of the air pressure during standing and walking and by computational simulation based on finite element methods. The air pressure at the distal-end cavity during walking was found to be in the range of -20 kPa to 17 kPa. The statistical peak pressure was -16.9/spl plusmn/2.2 kPa during swing phase and 14.3/spl plusmn/2.5 kPa during stance phase. Finite element models have been established to investigate the load transfer between an above-knee stump and the prosthetic socket. An air cavity was assumed to be sealed between the distal end of the stump and the socket. Hydrostatic fluid elements were used to simulate this air cavity. The air pressure predicted for standing is 9 kPa and supports about 12 percent of the total vertical load.","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":"13 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":"121949464","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":"Fluid coupled metallic micromachined needle arrays","authors":"J. Brazzle, I. Papautsky, A. B. Frazier","doi":"10.1109/IEMBS.1998.746949","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746949","url":null,"abstract":"Fluid coupled metallic micromachined needle arrays are designed, fabricated, and characterized. The described hollow metallic needle arrays include design features such as dual structural supports and needle coupling channels. The supports and needle walls are formed by micro-electroformed metal to provide increased structural integrity. The needle coupling channels are used to fluidically interconnect the needles and allow pressure equalization and balance of fluid flow between needles. In addition, the needle coupling channels minimize the effects of restricted needle passages by providing a redistribution point for fluid flow between them. The optimum design for the needle coupling channels is investigated using an ANSYS finite element numerical model. The significance of this work includes the development of hollow, metallic micromachined needle arrays for biomedical applications. The authors also discuss structural, fluidic, and biological design considerations.","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":"35 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":"122259925","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":"Robust identification of time-varying system dynamics with non-white inputs and output noise","authors":"M. Lortie, R. Kearney","doi":"10.1109/IEMBS.1998.746131","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746131","url":null,"abstract":"The authors developed a new technique to identify time-varying system dynamics from an ensemble of input-output realizations. With this new approach, a matrix equation is generated for every sampling time using input autocorrelation and input-output crosscorrelation functions estimated across the ensemble, and a pseudoinverse is used to solve for the impulse response function (IRF). The technique was tested on a simulated time-varying system using various combinations of input signal bandwidth, output signal-to-noise ratio (SNR), and number of realizations. Simulation results showed that the authors' pseudoinverse approach outperforms a previous least-squares method when the input is strongly coloured and the SNR is low. The new technique is also more efficient computationally.","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":"95 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":"115946683","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}
E. Spinelli, C. Felice, M. Mayosky, J. C. Politti, M. Valentinuzzi
{"title":"A correlation technique for muscle fibre action potential conduction velocity measurement using a single acquisition channel","authors":"E. Spinelli, C. Felice, M. Mayosky, J. C. Politti, M. Valentinuzzi","doi":"10.1109/IEMBS.1998.745166","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745166","url":null,"abstract":"Muscle fibre conduction velocity is an important parameter in electrophysiology and also for patient rehabilitation. Its measurement is usually made by placing electrodes spaced at known distances and, somehow, estimating the action potential conduction time. The problem, common to all methods, is how to as accurately as possible estimate the latter, i.e., the time delay. Several procedures have been proposed, both in the time and frequency domains. Time domain strategies usually require two acquisition channels, while frequency-domain based methods use a single one. The method described herein operates in the time domain, producing a conduction delay estimate by means of the autocorrelation of the signal obtained from a single acquisition channel. As with other time domain methods, it does not require long records. Experimental results are shown using the spontaneous electric activity of the muscle under contraction. It yields satisfactory results even with records as short as 0.2 s.","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":"110 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":"129998894","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":"Event recognition, separation and classification from ECG recordings","authors":"S. Szilágyi","doi":"10.1109/IEMBS.1998.745883","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745883","url":null,"abstract":"This paper presents a new event classification method. First a pre-filtering is carried out, followed by a (ECG) beat detector and classifier. When it is possible, the characteristic points (P,Q,R,S,J,T,U) are recognized and classified. After that an event recognition method is performed, which can extract the most important information helping doctors to build up a quick and reliable diagnosis. Tested with MIT/BIH database, we observed (ECG) beat detection rate above 99.85%, but the beat classification algorithm needs more development for both methods (parametrical and transformation). To evaluate the performance of the characteristic points detection algorithm, we used our evaluated samples (16-bit resolution and 500 Hz sampling rate). The main result of this work is, that although in many cases the ECG signal contains in itself enough information to build up a diagnosis and the program can determine many useful information for the doctor, the developed algorithm is not able to realize by itself a safe diagnosis.","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":"24 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":"134578587","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}
A. Linnenbank, J. Snel, M. Hocini, M. Potse, J. D. de Bakker, C. Grimbergen
{"title":"Display of activation fronts on a 3D reconstruction of the left atrium of a dog heart","authors":"A. Linnenbank, J. Snel, M. Hocini, M. Potse, J. D. de Bakker, C. Grimbergen","doi":"10.1109/IEMBS.1998.745830","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745830","url":null,"abstract":"A 3D reconstruction of a 197-lead multiterminal electrode in the shape of the left atrial cavity of a dog heart was made using a CT scan and software was designed to interactively determine local activation times and display these onto a 3D representation of the multiterminal electrode.","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":"18 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":"134341133","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}