{"title":"Real-Time Fine-Tuned Adjustment of Fiber Tracking Parameters","authors":"Adiel Mittmann, E. Comunello, A. V. Wangenheim","doi":"10.1109/CBMS.2014.64","DOIUrl":"https://doi.org/10.1109/CBMS.2014.64","url":null,"abstract":"Fiber tracking is a mature technique that aids neurosurgeons by providing the location of neuronal fibers in a patient's brain. Although the interactivity of tools have been typically limited, the exploitation of the parallel nature of fiber tracking is rapidly changing this landscape. The parallel environment offered by GPUs and modern CPUs enables fiber tracking to be executed very quickly on consumer-grade computers. The adjustment of fiber tracking parameters can currently be made on the fly, and the new results can be both computed and displayed in real-time on the screen. In order to further improve the interactivity of fiber tracking tools, this article proposes the application of histogram equalization, a traditional digital image processing procedure, to the fiber tracking parameters. The non-linear scale obtained by this process allows the user to interactively explore sensitive regions of the parameter space. Results show that this scale can be computed in real-time and that it can be cleanly integrated into fiber tracking tools.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131442960","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}
D. You, Sameer Kiran Antani, Dina Demner-Fushman, G. Thoma
{"title":"An MRF Model for Biomedical Image Segmentation","authors":"D. You, Sameer Kiran Antani, Dina Demner-Fushman, G. Thoma","doi":"10.1109/CBMS.2014.128","DOIUrl":"https://doi.org/10.1109/CBMS.2014.128","url":null,"abstract":"We propose a Markov random field (MRF)-based method to segment photographic biomedical images into three image sub-regions, viz., tissue, photo, and background. Segmentation results are then used to extract local and global visual features to separate images with tissue, such as endoscopic images, from general photographs.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580257","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}
Douglas S. Wetmore, Nishant A. Gandhi, Christopher Curatolo, Andrew Goldberg, P. McCormick, Adam Levine, S. DeMaria
{"title":"Simulation to Test Hard-Stop Implementation of a Pre-anesthetic Induction Checklist","authors":"Douglas S. Wetmore, Nishant A. Gandhi, Christopher Curatolo, Andrew Goldberg, P. McCormick, Adam Levine, S. DeMaria","doi":"10.1109/CBMS.2014.72","DOIUrl":"https://doi.org/10.1109/CBMS.2014.72","url":null,"abstract":"Checklists have been shown to reduce patient complications, improve communication in the operating room, and improve the management of simulated operating room crises. Using a randomized, controlled, observer-blinded design, we compared performance of anesthesiology residents in a simulated operating room using a checklist in completing a thorough pre-anesthetic induction evaluation and setup, to residents with no checklist. The checklist was implemented through a \"hard stop\" in the simulated electronic medical record. Data for 24 CA-1 residents show a statistically significant difference in performance in pre-anesthetic setup and evaluation as scored by blinded raters, with the checklist group performing better.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127603540","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}
Shan Nan, P. V. Gorp, H. Korsten, R. Vdovjak, U. Kaymak, Xudong Lu, H. Duan
{"title":"Tracebook: A Dynamic Checklist Support System","authors":"Shan Nan, P. V. Gorp, H. Korsten, R. Vdovjak, U. Kaymak, Xudong Lu, H. Duan","doi":"10.1109/CBMS.2014.33","DOIUrl":"https://doi.org/10.1109/CBMS.2014.33","url":null,"abstract":"It has recently been demonstrated that checklists can enable significant improvements to patient safety. However, their clinical acceptance is significantly lower than expected. This is due to the lack of good support systems. Specifically, support systems are too static: this holds for paper-based support as well as for electronic systems that digitize paper-based support naively. Both approaches are independent from clinical process and clinical context. In this paper, we propose a process-oriented and context-aware dynamic checklist support system: Trace book. This system supports the execution of complex clinical processes and rules involving data from Electronic Medical Record systems. Workflow activities and forms are specific to individual patients based on clinical rules and they are dispatched to the right user automatically based on a process model. Besides describing the Trace book functionality in general, this paper demonstrates the support system specifically on an example application that we are preparing for a controlled clinical evaluation. At last we discuss the limitations of Trace book.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132807351","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}
Riccardo Conti, Emanuel Marzini, A. Spognardi, I. Matteucci, P. Mori, M. Petrocchi
{"title":"Maturity Assessment of Wikipedia Medical Articles","authors":"Riccardo Conti, Emanuel Marzini, A. Spognardi, I. Matteucci, P. Mori, M. Petrocchi","doi":"10.1109/CBMS.2014.69","DOIUrl":"https://doi.org/10.1109/CBMS.2014.69","url":null,"abstract":"Recent studies report that Internet users are growingly looking for health information through the Wikipedia Medicine Portal, a collaboratively edited multitude of articles with contents often comparable with professionally edited material. Automatic quality assessment of the Wikipedia medical articles has not received much attention by Academia and it presents open distinctive challenges. In this paper, we propose to tag the medical articles on the Wikipedia Medicine Portal, clearly stating their maturity degree, intended as a summarizing measure of several article properties. For this purpose, we adopt the Analytic Hierarchy Process, a well known methodology for decision making, and we evaluate the maturity degree of more than 24000 Wikipedia medical articles. The obtained results show how the qualitative analysis of medical content not always overlap with a quantitative analysis (an example of which is shown in the paper), since important properties of an article can hardly be synthesized by quantitative features. This seems particularly true when the analysis considers the concept of maturity, defined and verified in this work.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130309057","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":"ICANN, Health Information and the \"Dot Health\" Top Level Domain","authors":"A. Solomonides","doi":"10.1109/CBMS.2014.148","DOIUrl":"https://doi.org/10.1109/CBMS.2014.148","url":null,"abstract":"The problems of poor or biased information and of misleading health and wellbeing advice on the Internet is well known. The recent decision by Internet Corporation for Assigned Names and Numbers (ICANN) to authorize a large number of new generic top-level domains, including some with a clear connection to health or healthcare, presents an opportunity to bring some order to this chaotic situation. In the case of the most general of these domains, \".health\", experts advance a compelling argument in favor of some degree of content control. On the opposing side, advocates for Internet freedom counter that this is too valuable to be compromised, and once lost it may never be recovered. The author supports a proposal to bridge the credibility gap in online health information by providing provenance information for websites in the .health domain.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114857336","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}
Daniel Sonntag, S. Zillner, S. Chakraborty, András Lörincz, E. Strömmer, L. Serafini
{"title":"The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood","authors":"Daniel Sonntag, S. Zillner, S. Chakraborty, András Lörincz, E. Strömmer, L. Serafini","doi":"10.1109/CBMS.2014.83","DOIUrl":"https://doi.org/10.1109/CBMS.2014.83","url":null,"abstract":"In this paper, we describe how we combine active and passive user input modes in clinical environments for knowledge discovery and knowledge acquisition towards decision support in clinical environments. Active input modes include digital pens, smartphones, and automatic handwriting recognition for a direct digitalisation of patient data. Passive input modes include sensors of the clinical environment and or mobile smartphones. This combination for knowledge acquisition and decision support (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. The innovative aspect is a holistic view on individual patients based on ontologies, terminologies, and textual patient records whereby individual active and passive real-time patient data can be taken into account for improving clinical decision support.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124755794","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}
C. Dias, C. Granja, A. Pereira, João Gama, P. Rodrigues
{"title":"Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness","authors":"C. Dias, C. Granja, A. Pereira, João Gama, P. Rodrigues","doi":"10.1109/CBMS.2014.31","DOIUrl":"https://doi.org/10.1109/CBMS.2014.31","url":null,"abstract":"Health-related quality of life (HR-QoL) is a subjective concept, reflecting the overall mental and physical state of the patient, and their own sense of well-being. Estimating current and future QoL has become a major outcome in the evaluation of critically ill patients. The aim of this study is to enhance the inference process of 6 weeks and 6 months prognosis of QoL after intensive care unit (ICU) stay, using the EQ-5D questionnaire. The main outcomes of the study were the EQ-5D five main dimensions: mobility, self-care, usual activities, pain and anxiety depression. For each outcome, three Bayesian classifiers were built and validated with 10-fold cross-validation. Sixty and 473 patients (6 weeks and 6 months, respectively) were included. Overall, 6 months QoL is higher than 6 weeks, with the probability of absence of problems ranging from 31% (6 weeks mobility) to 72% (6 months self-care). Bayesian models achieved prognosis accuracies of 56% (6 months, anxiety depression) up to 80% (6 weeks, mobility). The prognosis inference process for an individual patient was enhanced with the visual analysis of the models, showing that women, elderly, or people with longer ICU stay have higher risk of QoL problems at 6 weeks. Likewise, for the 6 months prognosis, a higher APACHE II severity score also leads to a higher risk of problems, except for anxiety depression where the youngest and active have increased risk. Bayesian networks are competitive with less descriptive strategies, improve the inference process by incorporating domain knowledge and present a more interpretable model. The relationships among different factors extracted by the Bayesian models are in accordance with those collected by previous state-of-the-art literature, hence showing their usability as inference model.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869578","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":"The Role of Inference in the Anonymization of Medical Records","authors":"Athanasios Zigomitros, A. Solanas, C. Patsakis","doi":"10.1109/CBMS.2014.88","DOIUrl":"https://doi.org/10.1109/CBMS.2014.88","url":null,"abstract":"The quality of life has been significantly improved and one of the main reasons is the medical advances of the past decades. Nevertheless, to further advance the research and services in the field, practitioners, researchers and health organizations should share more information. While this need is indisputable, the sensitivity of the information demands that it is preprocessed, so that the published data are anonym zed and individuals cannot be identified. The scope of this work is to highlight the difficulties in providing automated anonymization approaches for medical records without consulting experts in the field. One of the major problems that is going to be highlighted is that Quasi-Identifiers (QI) are not independent. It is well known that combinations of QIs can be used to infer other relevant information. Nevertheless, this work tries to exploit the other way of information flow, we show how sensitive attributes can be exploited to derive information about the QIs, leading to many privacy hazards for the patients whose records are shared. To this extent, we illustrate some relevant examples and discuss probable counter-measures.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130119018","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 Recording, Amplification, and Acquisition System for Microelectrode Array","authors":"F. Fambrini, M. A. Barreto, J. H. Saito","doi":"10.1109/CBMS.2014.38","DOIUrl":"https://doi.org/10.1109/CBMS.2014.38","url":null,"abstract":"Multi-Electrode Array (MEA) is a Nan technology device used for in-vitro neuron culture and their electrophysiological signal recording. The analysis of these signals is useful to the study of the neuronal network dynamics and the drug tests in pharmacological applications, between others. This paper describes the development of an alternative system of data acquisition to a MEA of 60 microelectrodes, denoted R2AS. The obtained results show that the proposed system is feasible to record the microelectrode signals of some μV level, using a head stage pre-amplifier, filter, amplifier, analog-to-digital converter, with analog multiplexing, and USB converter. The design is scalable and can be used to a high density MEA of 256 channels, replicating the modules, also, the system is flexible, allowing to be adapted to systems as Brain Computer Interface (BCI) with minimal changes.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129370115","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}