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":"Fast automated segmentation and visualisation methods for MR images of the knee joint in arthritis","authors":"R. Kitney, P. Cashman, M. E. Carter","doi":"10.1109/IEMBS.1998.745456","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745456","url":null,"abstract":"To highlight the diagnostic information in MR slice images of early knee joint damage, due to osteoarthritis (OA) or trauma, we have developed techniques for automated segmentation and rendering of the major joint structures. Using a 1.5 T GE body scanner we obtained sagittal T1-weighted spin echo images from 4 volunteers and 2 patients with OA. Segmentation was performed using MIDAS (Medical Information Display and Analysis System: Imperial College). From seed points on a midline \"training\" slice, the program searched all slices, locating the boundaries of the femur, tibia, patella, menisci and cruciate ligaments. The overall process was many times faster than manual segmentation. The joint components were then rendered as a composite 3D object allowing \"virtual dissection\" by the user. Osteophytes and soft-tissue abnormalities were revealed, viewable from any angle. The authors are now using newer MR sequences to detect the articular cartilage so that this can be added to the 3D model to indicate damage from OA. They believe that refinement of these techniques will enable visualisation of early changes to the joint structures, proving clinically useful in diagnosis and management of OA.","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":"6 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":"123661654","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":"Application of the Kalman filter in cardiac arrhythmia detection","authors":"L. Szilágyi","doi":"10.1109/IEMBS.1998.745834","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745834","url":null,"abstract":"The variability of the R-R intervals in the ECG signal contains valuable information about the various types of arrhythmia that might be present. It has been recently suggested, that the identification of cardiac arrhythmia might be possible by applying spectral analysis methods. This paper intends to investigate the efficiency of a spectral analysis method, namely the application of the Kalman filter identifier in the calculation of time varying spectra of the R-R interval time series. The efficiency of the method is tested using the MIT-BIH database and another database built up at the Medical Clinic No. 3 of Tg. Mures; in particular, cases of bigeminy, trigeminy, second degree block and ventricular flutter have been tested. Tests have revealed, that this technique in most cases can detect the onset of arrhythmia and can also identify the arrhythmia that is present.","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":"47 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120923404","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}
Chang-Su Ryu, Yoonseon Song, Sang Hee Kim, I. Yi, Ji-Eun Kim, J. Sohn
{"title":"A time-frequency analysis of the EEG evoked by negative and positive visual stimuli","authors":"Chang-Su Ryu, Yoonseon Song, Sang Hee Kim, I. Yi, Ji-Eun Kim, J. Sohn","doi":"10.1109/IEMBS.1998.746999","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746999","url":null,"abstract":"As a first step to discriminate between \"Yes\" and \"No\", which are the most elementary expressions in communication between human beings, we distinguish likes from dislikes (emotional \"Yes\" and \"No\"). For this purpose, we perform a time-frequency analysis of the EEG evoked by negative and positive visual stimuli. We calculate the asymmetry ratio as a function of time in subbands of /spl theta/, /spl alpha/ and /spl beta/. From the change (increase or decrease) of the asymmetry ratio in specific subbands at early time (/spl sim/1s), we obtain a very simple classification rule, which is appropriate for the real-time application. We also train an artificial neural network with input patterns considering all the subbands.","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":"313 4 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":"121177811","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 method for improving the measurement data resolution of time-resolved spectroscopy (TRS) using adaptive pulse compression filter","authors":"S. Chang, Lin Fang, D. Haishu, B. Chance","doi":"10.1109/IEMBS.1998.745616","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745616","url":null,"abstract":"Temporal and image resolution are the key problems in retrieving optical properties and in imaging of structural or functional changes within tissue from a set of received signals using a time-resolved spectroscopy (TRS) system. An adaptive light pulse compression filter applied to the signal processing of a TRS system is introduced, which was based on the analysis of temporal characteristics of near infrared spectroscopy (NIRS) signal. Moreover, an improved LMS algorithm having fast tracking ability and permitting large dynamic range input is also presented in this paper. The results of computer simulation, show that the filter has good tracing compression performance for diffusely reflected or transmitted signal received from the surface of the tissue and the temporal or image resolution of TRS system can be improved significantly.","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":"2015 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":"121331843","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}
O. Koseki, T. Tamura, T. Sumino, M. Ogawa, T. Togawa, K. Tsuchiya
{"title":"A numerical analysis of continuous glucose monitoring method using a microdialysis technique","authors":"O. Koseki, T. Tamura, T. Sumino, M. Ogawa, T. Togawa, K. Tsuchiya","doi":"10.1109/IEMBS.1998.746930","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746930","url":null,"abstract":"Monitoring of subcutaneous tissue glucose concentration is an attractive tool to detect a continuous glucose concentration, and has been studied by several researchers. We have proposed a new method, which can measure the concentration of subcutaneous tissue continuously, even when the recovery rate and the biosensor output current decreased. Two reference solutions were prepared with concentrations above and below the object concentration. These were perfused alternately with the same ratio of two periods. The output detected at the sensor, multiplied by the constant gain, was provided as feedback to the ratio. The glucose concentration in the subcutaneous tissue was calculated using the ratio of the two perfusion periods. To analyze the diffusion between the microdialysis probe and subcutaneous tissue, a compartment model was established. The numerical study was performed with a compartment model and control theory. In the simulation, the 90% response time to step change was about 7 min, which is fast enough when compared with the sharp fluctuations of a blood glucose level. This result suggested that our method was effective.","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":"29 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":"121419038","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":"Microwave and ELF electromagnetic field effects on intercellular communication","authors":"H. Chiang","doi":"10.1109/IEMBS.1998.746064","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746064","url":null,"abstract":"Gap junctional intercellular communication (GJIC) plays an essential role in regulation of cell growth, differentiation and wound healing. Microwave irradiation may down-regulate GJIC and the effect is strongly influenced by modulation frequency. Many studies have demonstrated that GJIC could be suppressed by ELF magnetic field (MF) and the suppression is related to the intensity of magnetic flux density and the exposure duration. Pulse MF is more effective than sinusoidal MF in inhibiting GJIC. Inhibiting GJIC by electromagnetic field in some cases could be beneficial or detrimental. The mechanism of GJIC inhibition induced by ELF MF has also been studied and found that the inhibition may be mainly due to hyperphosphorylation of gap junctional connexins by PKC rather than its transcriptional or translational disregulation.","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":"27 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":"114206337","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":"Fully automated biosignal acquisition in daily routine through 1 month","authors":"M. Ogawa, T. Tamura, T. Togawa","doi":"10.1109/IEMBS.1998.746981","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.746981","url":null,"abstract":"With the goal of keeping people healthy and active, long-term at-home measurement of physiological function during daily life is valuable, and is attempted in this study. As a first trial of at-home measurements, a fully automated physiological data acquisition system was developed. This system contains unconstrained physiological parameter monitors: an ECG monitor for use during bathing, a bed temperature monitor, and a weight monitor located in the toilet seat. It also contains a computer with data acquisition programs and a data format rule. Unconstrained physiological parameter monitors and fully automatic measurement procedures provide data acquisition non-invasively and without the subject's awareness. This system has been proved by an experiment involving measurement over one month of a healthy male subject (aged 29 years) in laboratory-based facilities. The system functioned for one month of data acquisition with no operator involved. The system may be used for home health monitoring of patients and also of healthy subjects.","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":"62 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":"114329180","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}
Takashi Watanabe, T. Nozawa, G. Eom, S. Ohba, R. Futami, N. Hoshimiya, Y. Handa
{"title":"Experimental tests of a musculoskeletal model of the elbow joint for FES applications","authors":"Takashi Watanabe, T. Nozawa, G. Eom, S. Ohba, R. Futami, N. Hoshimiya, Y. Handa","doi":"10.1109/IEMBS.1998.744988","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.744988","url":null,"abstract":"Computer model prediction of motions developed by functional electrical stimulation (FES) can be effective for clinical applications. The musculoskeletal model that responds to electrical stimulation is necessary for the model prediction. In this paper, a musculoskeletal model of the elbow joint was tested experimentally on a normal subject with surface electrode stimulation. In the musculoskeletal model, the musculotendon guide that reflects geometrical arrangement of muscles was adopted. Parameters in the muscle model were adapted to the subject based on the force measured under the isometric condition. The output of the tuned model agreed well with experimental results of the single muscle stimulation at high amplitude of stimulation and results of the simultaneous antagonistic stimulation in some stimulus conditions.","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":"338 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":"116315019","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 fast algorithm for estimating FDG model parameters in dynamic PET with an optimised image sampling schedule and corrections for cerebral blood volume and partial volume","authors":"Weidong (Tom) Cai, D. Feng, R. Fulton","doi":"10.1109/IEMBS.1998.745541","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.745541","url":null,"abstract":"The generalized linear least squares (GLLS) method for parameter estimation of nonuniformly sampled biomedical systems is a computationally efficient and statistically reliable way to generate parametric images for tracer dynamic studies with positron emission tomography (PET). However, previous work on GLLS in FDG-PET has been mainly based on a conventional sampling schedule (CSS) with twenty or more dynamic image frames, and with a standard four-parameter model which ignores the effects of cerebral blood volume (CBV) and partial volume (PV) on the tissue uptake measurements. In order to reduce image storage requirements and obtain more reliable parameter estimates, the authors derived a new OISS5-GLLS algorithm based on an optimal image sampling schedule involving a much smaller number of image frames with a five-parameter FDG model for correcting CBV and PV error effects, and validated this algorithm through computer simulations and clinical FDG-PET studies. The results showed that the OISS5-GLLS could provide reliable parameter estimates in dynamic FDG-PET studies, while greatly reducing computational complexity and image storage requirements.","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":"121675059","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 heart sound feature extraction algorithm based on wavelet decomposition and reconstruction","authors":"Huiying Liang, Iiro Hartimo","doi":"10.1109/IEMBS.1998.747181","DOIUrl":"https://doi.org/10.1109/IEMBS.1998.747181","url":null,"abstract":"An algorithm based on the wavelet decomposition and reconstruction method was developed to extract features from the heart sound recordings. An artificial neural networks classification method based on these features was used to classify the heart sound signals into physiological and pathological murmurs. The classification result indicated 74.4% accuracy.","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":"70 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113988211","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}