{"title":"Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?","authors":"S. Glaßer, Uli Niemann, B. Preim, M. Spiliopoulou","doi":"10.1109/CBMS.2013.6627768","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627768","url":null,"abstract":"We investigate the task of breast tumor classification based on dynamic contrast-enhanced magnetic resonance image data (DCE-MRI). Our objective is to study how the formation of regions of similar voxels contributes to distinguishing between benign and malignant tumors. First, we perform clustering on each tumor with different algorithms and parameter settings, and then combine the clustering results to identify the most suspect region of the tumor and derive features from it. With these features we train classifiers on a set of tumors that are difficult to classify, even for human experts. We show that the features of the most suspect region alone cannot distinguish between benign and malignant tumors, yet the properties of this region are indicative of tumor malignancy for the dataset we studied.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"92 1","pages":"77-82"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83446234","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}
Ayoze Marrero, J. A. Méndez, Alexandr V. Maslov, Mykola Pechenizkiy
{"title":"ACLAC: An approach for adaptive closed-loop anesthesia control","authors":"Ayoze Marrero, J. A. Méndez, Alexandr V. Maslov, Mykola Pechenizkiy","doi":"10.1109/CBMS.2013.6627803","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627803","url":null,"abstract":"In current practice, to control the anesthetic process, the anesthetist delivers drugs according to the surgery procedure and to the current patient characteristics and state. This is an open-loop procedure requiring an active participation of the medical expert. We propose an adaptive closed-loop controller for the regulation of hypnosis for patients undergoing general anesthesia. One of the main problems arising when designing such a controller is related to the intra- and inter-patient variability. We employ a simple regression model to make prediction of patient's response and to compute the adequate doses of propofol to keep the patient in the specified Bispectral Index target. To make our model adaptive, we continuously monitor the patient behavior and detect changes in patient response to update the identification model. Experimental evaluation on real patients data shows that we can effectively detect change points. Simulation of the adaptive closed-loop control with the change detection mechanism also suggests that the use of the adaptation mechanism improves the control.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"20 1","pages":"285-290"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83752383","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}
M. Nilsson, Alexander Yngling, K. Groth, F. Hammarqvist, Christoffer Jernling
{"title":"Remote supported trauma care: Understanding the situation from afar","authors":"M. Nilsson, Alexander Yngling, K. Groth, F. Hammarqvist, Christoffer Jernling","doi":"10.1109/CBMS.2013.6627766","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627766","url":null,"abstract":"We present results from a study of information needs when teleconsultation is used in trauma resuscitation. Three trauma team training sessions including 14 patient cases were observed together with field studies at emergency units. Technology probes like headcams and visualization of data usually available in the trauma room were used to better understand what information that is important or not for the remote expert to achieve a satisfactory Situation Awareness to support the trauma resuscitation. It was found that the two major information sources that the remote expert relies on are the vital signs and an overview, not necessarily with high video quality, of the team in the trauma room.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"47 4 1","pages":"65-70"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89536007","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":"Data reliability in home healthcare services","authors":"Sokratis Vavilis, Nicola Zannone, M. Petkovic","doi":"10.1109/CBMS.2013.6627820","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627820","url":null,"abstract":"Home healthcare services are emerging as a new frontier in healthcare practices. Data reliability, however, is crucial for the acceptance of these new services. This work presents a semi-automated system to evaluate the quality of medical measurements taken by patients. The system relies on data qualifiers to evaluate various quality aspects of measurements. The overall quality of measurements is determined on the basis of these qualifiers enhanced with a troubleshooting mechanism. Namely, the troubleshooting mechanism guides healthcare professionals in the investigation of the root causes of low quality values.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"3 1","pages":"377-380"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90382619","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}
Álvaro Rebuge, L. Lapão, A. Freitas, R. Cruz-Correia
{"title":"A process mining analysis on a Virtual Electronic Patient Record system","authors":"Álvaro Rebuge, L. Lapão, A. Freitas, R. Cruz-Correia","doi":"10.1109/CBMS.2013.6627874","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627874","url":null,"abstract":"Process mining can be used to extract healthcare processes related information from event logs by performing analysis exploiting the information recorded in it. We report a process mining analysis made to an event log containing traces on user activity recorded by a Virtual Electronic Patient Record (VEPR) system of a Central Hospital. A set of technical analyses were performed. Results from the discovery and characterization of global behavior and from a time series analysis on observed user tasks are reported. Process mining was applied successfully to discover, characterize and analyze user behavior recorded from VEPR. Worth noting the execution of tasks profile observed after log out, revealing significant security problems.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"31 1","pages":"554-555"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74032638","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":"Creating openEHR content to different moments of care: Obstetrics emergency scenario","authors":"G. Bacelar-Silva, R. Sousa-Santos, R. Correia","doi":"10.1109/CBMS.2013.6627816","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627816","url":null,"abstract":"Introduction: If health information systems used a common reference model to store patient data it would ease health data exchange and achievement of semantic interoperability. Aim: To describe the process and the issues related to developing openEHR content to be used during different moments in the Obstetrics scenario, namely to retrieve patient's data. Methods: It was conducted a search on two major repositories - openEHR and National E-Health Transition Authority (NEHTA) - for archetypes to represent clinical concepts defined in a previous study (Obstetrics Scenario). The better-suited archetypes were chosen to design the templates. Results: 22 clinical concepts were identified and 21 of them could be covered by the archetypes. It was necessary 28 archetypes (23 openEHR / 5 NEHTA) to represent them (13 openEHR / 8 NEHTA). Discussion and Conclusion: This paper demonstrates that it was possible to create an openEHR template to describe the information needs during different moments of an Obstetrics scenario. A possible application is to use them to retrieve patient's data from external systems.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"361-364"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79133093","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}
V. Charisis, Christina Katsimerou, L. Hadjileontiadis, C. Liatsos, G. Sergiadis
{"title":"Computer-aided capsule endoscopy images evaluation based on color rotation and texture features: An educational tool to physicians","authors":"V. Charisis, Christina Katsimerou, L. Hadjileontiadis, C. Liatsos, G. Sergiadis","doi":"10.1109/CBMS.2013.6627789","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627789","url":null,"abstract":"Wireless capsule endoscopy (WCE) is a revolutionary, patient-friendly imaging technique that enables non-invasive visual inspection of the patient's digestive tract and, especially, small intestine. However, reviewing the endoscopic data is time consuming and requires intense labor of highly experienced physicians. These limitations were the motive to propose a novel strategy for automatic discrimination of WCE images related to ulcer, the most common finding of digestive tract. Towards this direction, WCE data are color-rotated in order to boost the chromatic attributes of ulcer regions. Then, texture information is extracted by utilizing the local binary pattern operator that analyses the spatial structure of the images at a very local level. Experimental results demonstrated promising classification accuracy (91.1%) exhibiting high potential towards a complete computer-aided diagnosis system that will not only reduce WCE data reviewing time, but also serve as an assisting tool for the training of inexperienced physicians.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"85 1","pages":"203-208"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80979300","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}
R. Kamaleswaran, A. Thommandram, Qi Zhou, J. M. Eklund, Yun Cao, W. Wang, C. McGregor
{"title":"Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care","authors":"R. Kamaleswaran, A. Thommandram, Qi Zhou, J. M. Eklund, Yun Cao, W. Wang, C. McGregor","doi":"10.1109/CBMS.2013.6627844","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627844","url":null,"abstract":"We present a method for transmission and processing of real-time trans-continental medical data streams. We apply fundamentals of existing network technologies to create a secure tunnel from a remote hospital through an open-network to the Artemis Cloud. We capture and store incoming 1Hz data stream in our real-time event stream processor to allow for online real-time monitoring of the patient status. The contributions of this paper extend the Critical Care as a Service paradigm by incorporating remote monitoring centers. The results establish feasibility of the system to support real-time monitoring. However, existing protocols were required significant optimization to account for variability in throughput and availability of the network.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"34 1","pages":"473-476"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76107272","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}
P. Rodrigues, C. Dias, Diana Rocha, Isabel Boldt, A. Teixeira-Pinto, R. Cruz-Correia
{"title":"Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record","authors":"P. Rodrigues, C. Dias, Diana Rocha, Isabel Boldt, A. Teixeira-Pinto, R. Cruz-Correia","doi":"10.1109/CBMS.2013.6627841","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627841","url":null,"abstract":"The amount of data currently being produced, stored and used in hospital settings is stressing information technology infrastructure, making clinical reports to be stored in secondary memory devices. The aim of this work was to develop a model that predicts the probability of visualization, within a certain period after production, of each clinical report. We collected log data, from January 2013 till May 2011, from an existing virtual patient record, in a tertiary university hospital in Porto, Portugal, with information on report creation and report first-time visualization dates, along with contextual information. The main factors associated with visualization were defined using logistic regression. These factors were then used as explanatory variables for predicting the probability of a piece of information being accessed after production, using Kaplan-Meier analysis and the Weibull probability distribution. Clinical department, type of encounter and report type were found significantly associated with time-to-visualization and probability of visualization.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"8 3 1","pages":"461-464"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82677393","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":"An adaptive method for the recovery of missing samples from FHR time series","authors":"V. Oikonomou, J. Spilka, C. Stylios, L. Lhotská","doi":"10.1109/CBMS.2013.6627812","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627812","url":null,"abstract":"Missing data cause serious problem for automatic evaluation of the fetal heart rate(FHR) series. In this work we present an algorithm to surpress this problem. More specifically, an adaptive approach is proposed based on two steps. The first step concerns the reconstruction step where we obtain an estimate of the missing data using an empirical dictionary. The second step consists from the construction of the dictionary using the updated values from the first step. The above two steps are applied iteratively until convergence. The method adapts each time the dictionary and the reconstructed time series to the new information that we gain. Results on real and simulated experiments have shown the usefullness of our approach. More specifically, a comparison with cubic spline interpolation is performed and have shown that the proposed approach achieved 4 to 9dB better reconstruction ability.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"56 1","pages":"337-342"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89981184","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}