{"title":"Laugh and Crying Perception in Patients with Severe and Moderate TBI Using FFT Analysis","authors":"G. Portnova, K. Gladun","doi":"10.1109/CBMS.2017.11","DOIUrl":"https://doi.org/10.1109/CBMS.2017.11","url":null,"abstract":"Post-traumatic emotional disorder event is a major cause of slow rehabilitation worldwide. The present study investigates the effects of emotional sound stimulation at different groups of subjects with TBI. At the base of our research strategy, we had used a group with diffuse axonal injury (DAI). We collected three groups of patients: 45 healthy adults, 20 patients with severe TBI and 19 patients with moderate TBI. Neurophysiology trials aim was to determine the processes that accompany emotional changes within traumatic brain damage. We analysed emotional EEG response for crying and laughter in patients with severe TBI, patients with moderate TBI and healthy volunteers. We used FFT analyses to quantify highfrequency HRV and average heart rate. Our results showed that patient with TBI showed higher response to crying compared to laughter, accompanied by slow-wave activity in the right temporal area and higher heart rate variability.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"16 1","pages":"123-126"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73223742","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}
Prasanth Ganesan, Kristina E Shillieto, Behnaz Ghoraani
{"title":"Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization.","authors":"Prasanth Ganesan, Kristina E Shillieto, Behnaz Ghoraani","doi":"10.1109/CBMS.2017.161","DOIUrl":"https://doi.org/10.1109/CBMS.2017.161","url":null,"abstract":"<p><p>Cardiac simulations play an important role in studies involving understanding and investigating the mechanisms of cardiac arrhythmias. Today, studies of arrhythmogenesis and maintenance are largely being performed by creating simulations of a particular arrhythmia with high accuracy comparable to the results of clinical experiments. Atrial fibrillation (AF), the most common arrhythmia in the United States and many other parts of the world, is one of the major field where simulation and modeling is largely used. AF simulations not only assist in understanding its mechanisms but also help to develop, evaluate and improve the computer algorithms used in electrophysiology (EP) systems for ablation therapies. In this paper, we begin with a brief overeview of some common techniques used in simulations to simulate two major AF mechanisms - spiral waves (or rotors) and point (or focal) sources. We particularly focus on 2D simulations using Nygren <i>et al.</i>'s mathematical model of human atrial cell. Then, we elucidate an application of the developed AF simulation to an algorithm designed for localizing AF rotors for improving current AF ablation therapies. Our simulation methods and results, along with the other discussions presented in this paper is aimed to provide engineers and professionals with a working-knowledge of application-specific simulations of spirals and foci.</p>","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"2017 ","pages":"379-384"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CBMS.2017.161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35986269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Affinity Analysis Techniques on Diagnosis and Prescription Data","authors":"S. Theodora, Varlamis Iraklis","doi":"10.1109/CBMS.2017.114","DOIUrl":"https://doi.org/10.1109/CBMS.2017.114","url":null,"abstract":"This study performs an Affinity Analysis ondiagnosis and prescription data in order to discover cooccurrencerelationships among diagnosis and pharmaceuticalactive ingredients prescribed to different patient groups. Theanalysis data collected during consecutive visits of 4,473 patients in a 3 years period, focused on patients suffering byhypertension and/or hypercholesterolemia and appliedassociation rule and sequential rule mining techniques. Thefindings have been validated in the specific dataset usingstatistical analysis methods. Association rule mining shows an association between gastrooesophagealreflux and the medicines prescribed forhypertension and heart diseases, which agrees with findings inthe related literature. Another interesting finding, not yet beenreported in related studies is the association between heartdiseases, gastroesophageal reflux and insulin-dependentdiabetes mellitus for patients that have both hypertension andhypercholesterolemia. Apart from the medical findings, which must be subject offurther research we propose a methodology for the analysis ofdata collected from a continuous screening process of a groupof patients. With the use of data mining techniques we are ableto extract and formulate the potential research questions, which are then validated using statistical methods and can alsobe validated in larger population studies.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"42 1","pages":"403-408"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89159670","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 New Ontology-Based Method for Functional Composed Comparison of MicroRNAs","authors":"Mariana Yuri Sasazaki, J. C. Felipe","doi":"10.1109/CBMS.2015.55","DOIUrl":"https://doi.org/10.1109/CBMS.2015.55","url":null,"abstract":"MicroRNAs (miRNAs) are small non-coding RNA molecules that negatively regulate gene expression, playing critical roles in many relevant biological processes. Since there are no terms of miRNAs annotation in Gene Ontology (GO) nor a database with miRNA functional annotation, the direct computation of functional similarity between miRNAs cannot be done under an established standardized approach. However, a miRNA can be annotated with a set of information, such as if it acts as oncogene or as tumour suppressor, the organism that it belongs, its association with diseases, target genes, proteins and pathological events. This way, the similarity between two miRNAs can be inferred based, for example, in the relative position of their respective target genes in GO. In this study, we propose and evaluate CFSim, a method that uses GO and the disease ontology MeSH to compute miRNAs composed similarity by combining different information related to them. We validated CFSim by examining functional similarity values inferred intra and inter miRNA families, and the results showed that our method is efficient in sense that the functional similarity between miRNAs in the same family was higher compared to other miRNAs from distinct families. Furthermore, in comparison with existing methods for functional similarity, CFSim is more effective in distinguishing miRNA families.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"136 1","pages":"258-263"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77461556","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}
Vitor Manuel Fragoso Ferreira, J. Carvalho, R. M. Costa, Vera Werneck
{"title":"Developing an Educational Medical Game Using AgilePASSI Multi-agent Methodology","authors":"Vitor Manuel Fragoso Ferreira, J. Carvalho, R. M. Costa, Vera Werneck","doi":"10.1109/CBMS.2015.81","DOIUrl":"https://doi.org/10.1109/CBMS.2015.81","url":null,"abstract":"Games applied to health education have emerged as a motivational improvement in learning and clinical performance of students from the health care area. Currently, there are several agent oriented methodologies that support the multi-agent systems development. However none are specific to the domain of medical and health education. Agent-oriented development of medical educational games must have special features such working with a multidisciplinary team, have a high degree of user involvement and allow a mutuality of game requirements. Within this context, this paper presents the development of MEDEDUC, an educational systems technology applying agile development through the AGILE-PASSI methodology. This game, which has five levels of difficulty, allows the student to study pulmonology answering questions that explore multimedia presentations. The results of this study stressed the advantages of the agile development methodology game that combines medical theory and multi-agent.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"22 1","pages":"298-303"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78780530","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}
Z. Reis, J. Gaspar, A. C. Souza, M. S. Junior, Thais Abreu Maia, M. R. Santos
{"title":"Electronic Systems Interoperability Study: Based on the Interchange of Hospital Obstetrical Information","authors":"Z. Reis, J. Gaspar, A. C. Souza, M. S. Junior, Thais Abreu Maia, M. R. Santos","doi":"10.1109/CBMS.2015.57","DOIUrl":"https://doi.org/10.1109/CBMS.2015.57","url":null,"abstract":"The Obstetric Inpatient Discharge Summary is a document considered essential in the complex care network for health care continuity. AIMS: The study proposes a model for the transmission of clinical information contained in the discharge summary with the aim of exchanging the information between electronic systems and defining standards, allowing the testing of obstetric records interoperability, referring, in particular, to births. METHODS: Information was modeled using the methodology for developing archetypes proposed in the International Standardization Organization 13606 standard. RESULTS: The electronic document was implemented in a university hospital, and the information was divided into two sections, one containing maternal data and the other neonate(s) information. An Electronic Health Record extract in eXtensible Markup Language, containing structured clinical data, will constitute the vector of transmission system from hospital information to primary care units. CONCLUSION: The model proposed is expected to subsidize information semantic persistence, contributing to health care quality.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"17 1","pages":"201-204"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88593557","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 Aneja, S R Vora, E D Camci, L G Shapiro, T C Cox
{"title":"Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses.","authors":"D Aneja, S R Vora, E D Camci, L G Shapiro, T C Cox","doi":"10.1109/CBMS.2015.86","DOIUrl":"https://doi.org/10.1109/CBMS.2015.86","url":null,"abstract":"<p><p>Landmark-based morphometric analyses are used by anthropologists, developmental and evolutionary biologists to understand shape and size differences (eg. in the cranioskeleton) between groups of specimens. The standard, labor intensive approach is for researchers to manually place landmarks on 3D image datasets. As landmark recognition is subject to inaccuracies of human perception, digitization of landmark coordinates is typically repeated (often by more than one person) and the mean coordinates are used. In an attempt to improve efficiency and reproducibility between researchers, we have developed an algorithm to locate landmarks on CT mouse hemi-mandible data. The method is evaluated on 3D meshes of 28-day old mice, and results compared to landmarks manually identified by experts. Quantitative shape comparison between two inbred mouse strains demonstrate that data obtained using our algorithm also has enhanced statistical power when compared to data obtained by manual landmarking.</p>","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"2015 ","pages":"78-83"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CBMS.2015.86","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34078875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. F. Carvalho, J. A. Guerrero, P. M. A. Marques, Alessandra Alaniz Macedo
{"title":"Lyria PACS: A Case Study Saves Ten Million Dollars in a Brazilian Hospital","authors":"D. F. Carvalho, J. A. Guerrero, P. M. A. Marques, Alessandra Alaniz Macedo","doi":"10.1109/CBMS.2015.87","DOIUrl":"https://doi.org/10.1109/CBMS.2015.87","url":null,"abstract":"","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"89 1","pages":"326-329"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76264439","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}
Andre Luis Resende Monteiro, A. Machado, Marcelo Henrique Mamede Lewer
{"title":"A Multicriteria Method for Cervical Tumor Segmentation in Positron Emission Tomography","authors":"Andre Luis Resende Monteiro, A. Machado, Marcelo Henrique Mamede Lewer","doi":"10.1109/CBMS.2014.52","DOIUrl":"https://doi.org/10.1109/CBMS.2014.52","url":null,"abstract":"Accurate delineation of tumors is a fundamental requirement for proper planning and subsequent cancer treatment. In this paper, we propose to model the process of tumor segmentation as a multicriteria decision making problem, considering the information embedded in both Positron Emission Tomography (PET) and Computed tomography (CT) images. A set of images of cervical tumors were semi-automated segmented and the results compared with a manual delineation. The results show that using a multiple criteria approach in the segmentation process can improve sensitivity, and the utilization of both PET and CT images may be a factor for improving precision.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"60 1","pages":"205-208"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90458369","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}
Irma Lam, Michael Cunningham, Matthew Speltz, Linda Shapiro
{"title":"Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System.","authors":"Irma Lam, Michael Cunningham, Matthew Speltz, Linda Shapiro","doi":"10.1109/CBMS.2014.63","DOIUrl":"10.1109/CBMS.2014.63","url":null,"abstract":"<p><p>Craniosynostosis, a disorder in which one or more fibrous joints of the skull fuse prematurely, causes skull deformity and is associated with increased intracranial pressure and developmental delays. Although clinicians can easily diagnose craniosynostosis and can classify its type, being able to quantify the condition is an important problem in craniofacial research. While several papers have attempted this quantification through statistical models, the methods have not been intuitive to biomedical researchers and clinicians who want to use them. The goal of this work was to develop a general platform upon which new quantification measures could be developed and tested. The features reported in this paper were developed as basic shape measures, both single-valued and vector-valued, that are extracted from a single plane projection of the 3D skull. This technique allows us to process images that would otherwise be eliminated in previous systems due to poor resolution, noise or imperfections on their CT scans. We test our new features on classification tasks and also compare their performance to previous research. In spite of its simplicity, the classification accuracy of our new features is significantly higher than previous results on head CT scan data from the same research studies.</p>","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"2014 ","pages":"215-220"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205084/pdf/nihms634320.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32770547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}