E. Saab, N. Fumai, M. Petroni, K. Roger, C. Collet, A. Malowany, F. Carnevale, R. Gottesman
{"title":"Data modeling and design of a patient data management system in an intensive care unit","authors":"E. Saab, N. Fumai, M. Petroni, K. Roger, C. Collet, A. Malowany, F. Carnevale, R. Gottesman","doi":"10.1109/CBMS.1992.244963","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244963","url":null,"abstract":"A patient data management system (PDMS) is being developed for use in intensive care units of the Montreal Children's Hospital. The PDMS has a diversity of applications that handle various types of data. The numerous functionalities and management of different data types present the following design requirements: abstract definition of data types; unified view of data during the development phase; distinct levels of data management; and minimum coupling of the system's modules and higher degree of system flexibility. The authors outline the current database design and some aspects of its implementation using OS/2 Extended Edition. The multilevel data storage management is expected to solve the problem of storing the large volume of data and preserving the real-time response of the system.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121197856","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 network distributed real-time data acquisition and analysis system based on X Window","authors":"E. Favre, D. Bertrand, C. Pellegrini","doi":"10.1109/CBMS.1992.244952","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244952","url":null,"abstract":"On the basis of a set of new concepts called virtual data acquisition machine, the authors have developed a unique working environment for real-time data acquisition. They have tested this system in a biomedical application. The virtual data acquisition machine relies on an extensive use of distributed processing through a fast network and on object-oriented concepts. User interaction is provided by either a flexible and customizable graphic user interface, or by the use of a procedural command language. The network is made completely transparent to the user by a distributed windowing system, based on X. In its final version, this system will offer all the functionalities for data acquisition, processing, analysis and simulation.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129446855","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 time-frequency approach to evaluate electromyographic recordings","authors":"A. Ricamato, R. Absher, M. Moffroid, J. Tranowski","doi":"10.1109/CBMS.1992.245010","DOIUrl":"https://doi.org/10.1109/CBMS.1992.245010","url":null,"abstract":"An attempt has been made to develop and test a new electromyographic (EMG) signal processing technique that may prove useful for dynamic muscle contractions. The technique described was accomplished by implementing a smoothed version of the Wigner-Ville distribution (WVD) in software. The WVD can display the frequency content of a signal as a function of time, thus utilizing all available information contained in the EMG signal. Although the EMG signal can often be considered quasi-stationary, there is important information which is transient and may only be distinguished by the WVD. The WVD was evaluated with the use of some experimental EMG data. Specifically, the soleus and medial gastrocnemius muscles were studied under the specific conditions of involuntary recruitment.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130807731","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":"Feature extraction from ECG for classification by artificial neural networks","authors":"Louis C. Pretorius, Cobus Nel","doi":"10.1109/CBMS.1992.245031","DOIUrl":"https://doi.org/10.1109/CBMS.1992.245031","url":null,"abstract":"The ability of properly trained artificial neural networks to correctly classify patterns makes them particularly suitable for the interpretation of ECG (electrocardiography) signals. Attention was given to three classes of ECGs, namely, normal and two cardiac myopathies, and anterior and inferior infarctions. Suitable features were extracted from the digitized bipolar limb lead ECG signals, and results are presented to show that a multilayer perceptron can correctly discriminate between the three chosen classes.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122175164","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":"Pixel based reconstruction (PBR) techniques","authors":"K. Peddanarappagari, R. Fager","doi":"10.1109/CBMS.1992.244950","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244950","url":null,"abstract":"The authors have reinvestigated algebraic reconstruction algorithms for computed tomography, with some new heuristics and some new methodologies, which indicate that they merit serious consideration for practical applications. Methods of implementing these iterative methods more efficiently by reducing the computations, reducing memory requirement, and using accelerating techniques are discussed. It is shown by simulations, using the pixel-based reconstruction (PBR) methods proposed by R.S. Fager et al., that excellent reconstructions of a complex object can be obtained with very few projections. PBR methods are simultaneous in nature, i.e. at each iteration, any pixel value does not depend on any other pixel value in the reconstructed image. Because of this, in principle, each pixel can be assigned to its own computer and advantage can be taken of parallel structured computers. Two methods of improving these algorithms have been investigated: region of interest; and the steepest descent approach.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122217819","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}
Weizhao Zhao, Jen Y. Chang, David M. Smith, M. Ginsberg
{"title":"Disparity analysis and its application to three-dimensional reconstruction of medical images","authors":"Weizhao Zhao, Jen Y. Chang, David M. Smith, M. Ginsberg","doi":"10.1109/CBMS.1992.244935","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244935","url":null,"abstract":"A novel approach to image alignment or registration for three-dimensional reconstruction of medical images is introduced. The scheme is based on recent advances in computer vision. A point-to-point disparity analysis is used in the alignment algorithm. It is assumed that a sequence of images to be aligned is related by a linear affine transformation. Based on this model, a disparity function is defined by considering the image shape structure or the image intensity changes. The function parameters are estimated simultaneously from the computation of shape or intensity disparity. The decomposition of the disparity function parameters reveals the object rotation, deformation, scaling, and translation individually in a 3D space. These parameters provide enough information for image alignment as well as image matching. Experiments on 3D reconstruction of autoradiographic images demonstrate the effectiveness of the disparity analysis method.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405537","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":"FLAPECAN: a knowledge based system in electrocardiogram diagnosis","authors":"C. Held, J. Kurien","doi":"10.1109/CBMS.1992.245032","DOIUrl":"https://doi.org/10.1109/CBMS.1992.245032","url":null,"abstract":"FLAPECAN is a knowledge-based system designed to aid in the interpretation of electrocardiograms (ECGs). Diagnoses are based upon simple features of the ECG being analyzed. The system may be used to aid in generating diagnoses either by a human user or by an automated analysis system where feature recognition is provided. The system was implemented with fuzzy-logic based inference in FLX, a knowledge representation system. The use of FLX, which provides object- and rule-based paradigms, yields improved organization, a more explicit representation of the ECG domain knowledge, and a graphical development and user environment. Repeated application of the system to known cases provided results for calibration of fuzzy knowledge. As a whole, FLAPECAN shows good initial results, suggesting that such an application of fuzzy reasoning has a promising future.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126487806","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":"Fuzzy classification of heart rate trends and artifacts","authors":"Dean F. Sittig, K. Cheung, L. Berman","doi":"10.1109/CBMS.1992.245009","DOIUrl":"https://doi.org/10.1109/CBMS.1992.245009","url":null,"abstract":"Fuzzy set theory makes it possible to map inexact data, concepts, and events to fuzzy sets via user-defined membership functions. The authors describe a method for (1) robustly estimating the mean and slope of an arbitrary number of data points, (2) developing a set of fuzzy membership functions to classify various properties of heart rate trends, and (3) finding the longest consecutive sequence of heart rate data that fit a particular fuzzy membership function. Preliminary results indicate that fuzzy set theory has significant potential in the development of a clinically robust method for classifying heart rate data, trends, and artifacts.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134087445","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":"Shape analysis of mammographic calcifications","authors":"Liang Shen, R. Rangayyan, J. Desautels","doi":"10.1109/CBMS.1992.244955","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244955","url":null,"abstract":"A set of shape factors has been developed to measure the roughness of regions of calcifications in mammograms, to aid in their classification as malignant or benign. The analysis of mammograms is performed in three stages. First, a region growing technique is used to obtain the contours of regions including calcifications. Then, measures of shape features, such as compactness, moments, and Fourier descriptors, are computed for each region. Finally, their applicability to classification is studied by using the above shape measures to form feature vectors.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114802192","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 temporal evolutionary object-oriented data model for medical image management","authors":"W. Chu, I. T. Ieong, R. Taira, C. Breant","doi":"10.1109/CBMS.1992.244960","DOIUrl":"https://doi.org/10.1109/CBMS.1992.244960","url":null,"abstract":"The authors present a temporal evolutionary object-oriented data model (TEDM) for modeling medical images. The intelligent medical image management system (IMIS) lies on top of a picture archive and communication system (PACS) infrastructure. The IMIS can retrieve medical images (e.g. X-rays, computed tomography scans, magnetic resonance scans, etc.) by image features and contents rather than by traditional artificial keys such as a patient hospital identification number. As a result, solutions to queries which associate the radiographic findings of an image, the disease pathology and the categorical patient subpopulation can be obtained. The proposed model and language constructs can also be applied to other domains that exemplify the evolutionary transformations of objects, such as modeling the growth of brain tumors.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115821665","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}