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[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems最新文献

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Mapping networks for analysis of the forced expired volume signal 映射网络用于分析强制过期的音量信号
[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI: 10.1109/CBMSYS.1990.109421
H. Gage, T. Miller
{"title":"Mapping networks for analysis of the forced expired volume signal","authors":"H. Gage, T. Miller","doi":"10.1109/CBMSYS.1990.109421","DOIUrl":"https://doi.org/10.1109/CBMSYS.1990.109421","url":null,"abstract":"A mapping network approach for classifying the respiratory forced expired volume signal is presented. Using reconstructed spirograms, the development and application of a backpropagation mapping network simulator to two pulmonary function classification problems is described. In the first problem, the mapping network correctly classified 95% of previously unseen volume-time curves as being indicative of normal, restricted, or obstructed pulmonary function. In the second problem, the mapping network performed at a level equivalent to a discriminant function based on standard spirometric parameters in differentiating between spirograms indicative of normal and diseased subjects. The ability of the neural network to automatically learn patterns of abnormality in biological signals makes it a potentially powerful screening tool.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121283523","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: 1
Analytic prediction of medical document retrieval system performance 医学文献检索系统性能的分析预测
[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI: 10.1109/CBMSYS.1990.109436
Robert M. Losee, Sung-Been Moon
{"title":"Analytic prediction of medical document retrieval system performance","authors":"Robert M. Losee, Sung-Been Moon","doi":"10.1109/CBMSYS.1990.109436","DOIUrl":"https://doi.org/10.1109/CBMSYS.1990.109436","url":null,"abstract":"The performance of medical information retrieval systems is measured using historical data or predicted using formal probabilistic methods derived from artificial intelligence and statistical decision theoretic considerations. Technique have been described that assist the searcher with a query or information need by providing graphs showing the quality of past retrieval performance for that specific query, as well as expected future performance. Documents or text fragments (from a hypertext system) are ranked for possible presentation to the searcher based on the document of fragment's odds of relevance. The expected performance is computed from knowledge gained from relevance judgments provided by the searcher about the quality of the retrieved documents, as well as any system knowledge available about possible initial values of parameters of distributions describing the occurrence of features of relevance and all text fragments. The individual documents do not need to be examined to predict performance.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806456","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: 1
Feature-based description and representation of structures in an ECG 心电图中基于特征的结构描述和表示
[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI: 10.1109/CBMSYS.1990.109404
Paolo Bottoni, M. Cigada, A. D. Giuli, B. Cristofaro, P. Mussio
{"title":"Feature-based description and representation of structures in an ECG","authors":"Paolo Bottoni, M. Cigada, A. D. Giuli, B. Cristofaro, P. Mussio","doi":"10.1109/CBMSYS.1990.109404","DOIUrl":"https://doi.org/10.1109/CBMSYS.1990.109404","url":null,"abstract":"An automatic system which sets up high-level descriptions of the ECG, based on its medical shape features, from the low-level descriptions of the numerical techniques is discussed. These descriptions are organized into a description scheme, thus making it possible for physicians to use visual interpretation to control the whole description process. At each moment during an interpretation activity, the content of the data structure can be shown to the user in a graphical manner. Using this method, the progress of the process and the reasons why an interpretation strategy is followed can be controlled by the user.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126478221","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: 1
A neural network for tracking the prevailing heart rate of the electrocardiogram 一种神经网络，用于跟踪心电图的主要心率
[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI: 10.1109/CBMSYS.1990.109420
E. M. Strand, W. T. Jones
{"title":"A neural network for tracking the prevailing heart rate of the electrocardiogram","authors":"E. M. Strand, W. T. Jones","doi":"10.1109/CBMSYS.1990.109420","DOIUrl":"https://doi.org/10.1109/CBMSYS.1990.109420","url":null,"abstract":"An artificial neural network (ANN) with feedback for tracking the prevailing heart rate of the electrocardiogram (EKG) is presented. The ANN accurately tracks the change of rate over a wide range of heart rates, and is robust in the presence of arrhythmic and anomalous conditions. Such a network has potential application in the development of a robust heart rate monitor or in the enhancement of the rhythm monitoring system. The ANN was trained using the backpropagation learning algorithm. The performance of the trained network was evaluated using an independent set of R-R intervals. Of the 270 test exemplars, in 226 cases the predicted prevailing R-R interval was within 1% of the observed prevailing R-R interval, in 38 cases the prediction was within 2% of the observed, and in the remaining six cases the prediction was within 4% of the observed.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129201114","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: 8
Computer simulation of a brain slice using fractals 用分形法对大脑切片进行计算机模拟
[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1990-06-03 DOI: 10.1109/CBMSYS.1990.109441
T. Culver, S. N. Cheng
{"title":"Computer simulation of a brain slice using fractals","authors":"T. Culver, S. N. Cheng","doi":"10.1109/CBMSYS.1990.109441","DOIUrl":"https://doi.org/10.1109/CBMSYS.1990.109441","url":null,"abstract":"Preliminary results of simulating the anatomical structure (gyri, sulci, and fissures) in a fully developed brain using fractal growth are presented. Determination of the basic self-similar structure of the brain and the fractal growth simulation procedure are discussed. Images of the simulated brain slice are included as a demonstration of the effectiveness of this method.<<ETX>>","PeriodicalId":365366,"journal":{"name":"[1990] Proceedings. Third Annual IEEE Symposium on Computer-Based Medical Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248590","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: 1
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