G. Zahnd, M. Orkisz, S. Balocco, A. Sérusclat, P. Moulin, D. Vray
{"title":"Tracking arterial wall motion in a 2D+t volume","authors":"G. Zahnd, M. Orkisz, S. Balocco, A. Sérusclat, P. Moulin, D. Vray","doi":"10.1109/BHI.2014.6864453","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864453","url":null,"abstract":"The aim of this study is to propose a motion tracking framework dedicated to estimate the trajectory of the common carotid artery wall in B-mode ultrasound sequences. As the image quality of routinely acquired scans is often degraded by a number of factors, accurate estimation of the tissues motion is a challenging task. To address this issue, the main feature of our method is the research of an optimal a posteriori solution, which is computed using a dynamic programming scheme once all frames have been processed. Applied in vivo on 15 healthy volunteers, our method showed an overall good tracking performance, with an average absolute tracking error of 104 ± 127 μm and 29 ± 57 μm, in the longitudinal and radial directions, respectively. This work has potential to improve motion estimation in ultrasound imaging, and could contribute to provide more reliable information about vascular health in a clinical setting.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"12 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717074","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":"Conceptual Schema of Breast Cancer: The background to design an efficient information system to manage data from diagnosis and treatment of breast cancer patients","authors":"Verónica Burriel, Ó. Pastor","doi":"10.1109/BHI.2014.6864395","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864395","url":null,"abstract":"Diagnosis and treatment of breast cancer is a complicated task which is aggravated by managing the information generated during these processes. All this information would be much more useful if it would be correctly managed in an efficient and well-structured information system. A Conceptual Schema of Breast Cancer in which all the concepts of the domain of diagnosis and treatment of this disease are represented and related between them is the most adequate background for creating the information system required in the clinical units with breast cancer patients to manage their data efficiently and to take advantage of it.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116155712","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}
N. Ortigosa, Ó. Cano, Ana Andrés, C. Fernández, A. Galbis, Guillermo Ayala
{"title":"Classification of atrial fibrillation episodes using short ECG segments","authors":"N. Ortigosa, Ó. Cano, Ana Andrés, C. Fernández, A. Galbis, Guillermo Ayala","doi":"10.1109/BHI.2014.6864428","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864428","url":null,"abstract":"This paper presents a method to classify different subtypes of atrial fibrillation episodes by analyzing short segments of electrocardiograms. We will process surface ECGs segments by time-frequency transforms to extract relevant features that will be used as input to a neural network classifier. As atrial fibrillation presents a progressive nature, this method can be a very useful tool in order to differentiate the progress of the arrythmia in each patient.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114384397","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}
N. Garcia, Nuno C. Garcia, P. Sousa, Daniel Oliveira, Celina Alexandre, Virginie Felizardo
{"title":"TICE.Healthy: A perspective on medical information integration","authors":"N. Garcia, Nuno C. Garcia, P. Sousa, Daniel Oliveira, Celina Alexandre, Virginie Felizardo","doi":"10.1109/BHI.2014.6864403","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864403","url":null,"abstract":"This paper describes a perspective on medical information integration as implemented by the Portuguese Program TICE.Healthy. The eight subprojects that integrate TICE.Healthy share a common database for medical data, and exchange data using standard formats. Because the subprojects deal with data of different nature, strategies were developed to allow the effective integration of this data. This paper describes the strategies adopted by the consortium, its discovered best practices and eventual pitfalls.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128048618","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":"Non contact monitoring of respiratory function via depth sensing","authors":"Edgar A. Bernal, L. K. Mestha, E. Shilla","doi":"10.1109/BHI.2014.6864314","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864314","url":null,"abstract":"Monitoring respiratory events is of clinical importance in the early detection of potentially fatal conditions. Current technologies involve contact sensors the individual must wear constantly. Such a requirement can lead to patient discomfort, and consequently may fail due to a variety of reasons including refusal to wear the monitoring device. Elderly patients and neo-natal infants are even more likely to suffer from the adverse effects of continued monitoring. Unobtrusive, non-contact, remote-sensing-based methods are increasingly needed for monitoring patient respiratory function at homes, which can in turn help to establish patterns over time. We propose to use active-stereo-based depth sensing system for forced flow-volume loop measurements and for semi-automatic and automatic assessment of abnormal breathing patterns.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125804405","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}
Gabriel Kleinoscheg, H. Burgsteiner, Martin Bernroider, Günter Kiechle, M. Obermayer
{"title":"Improving emergency medical dispatching by means of the Adaptive Large Neighborhood Search","authors":"Gabriel Kleinoscheg, H. Burgsteiner, Martin Bernroider, Günter Kiechle, M. Obermayer","doi":"10.1109/BHI.2014.6864361","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864361","url":null,"abstract":"Dispatching ambulances is a demanding and stressful task for dispatchers. The aim of this work was to investigate if and to what extent the dispatch operation of the Red Cross Salzburg (RCS) can be optimized with a computerized system. The basic problem of a dynamic multi-vehicle Dial-a-Ride Problem (DARP) with time windows was enhanced according to the requirements of the RCS. The objective was to minimize the total mileage covered by ambulances and the waiting time of patients. Consequently, the problem was solved by using the Adaptive Large Neighborhood Search (ALNS). Evaluation results indicate that the system outperforms a human dispatcher by between 2.5% and 36% within 1 minute of runtime.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121720912","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":"Towards cloud-based image-integrated similarity search in big data","authors":"A. Tsymbal, E. Meissner, B. Kelm, Martin Kramer","doi":"10.1109/BHI.2014.6864434","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864434","url":null,"abstract":"The volume of data accumulated by institutions and individuals and containing valuable and even critical information grows steadily with time complicating timely access to this information. In particular, this concerns the domain of healthcare. One approach to leverage the increasing amounts of data is to use advanced similarity search and case retrieval-based solutions. In this paper, we share our experience with translation of a similarity search-based clinical decision support system Case Reasoner from a standalone desktop application into a mobile Web-based solution. In particular, translation of patient similarity visualization and of a Web-based medical imaging toolkit are considered.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122168056","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":"Simultaneous electroencephalography and photoacoustic monitoring of seizure in free moving rats","authors":"Jiaying Xiao, B. Wang, Kuan Peng, Ziqiang Zhu","doi":"10.1109/BHI.2014.6864315","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864315","url":null,"abstract":"Study of epilepsy in free moving animals provides the accurate information of this disease. While it has been proved that hemodynamic changes are greatly involved in epileptic seizures, methods for hemodynamic detection on free moving animals is limited. In this work, we integrated a photoacsoutic sensor and an EEG system into a small device that can be attached on the rat head, and for the first time realized the long-time simultaneous photoacoustic and EEG monitoring of pentylenetetrazol (PTZ) induced seizure on free moving animals. Results showed that both the neural and vascular response to seizure in free moving rats have a much different character from those in anesthetized rats, which calls for more detailed study in the future. This technology also promises other hemodynamic related research on free moving animals.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179315","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":"Non-invasive calculation of non-linear ESPVR: Theoretical study and clinical applications","authors":"R. Shoucri","doi":"10.1109/BHI.2014.6864404","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864404","url":null,"abstract":"Mathematical expressions for the pressure-volume relation (PVR) and the non-linear end-systolic pressure-volume relation (ESPVR) in the heart ventricles have been derived by using the theory of large elastic deformation of the myocardium. A rich collection of new parameters can be derived from the formalism describing the ESPVR, volume values can be measured in a non-invasive way and ratios of pressures can be calculated in a non-invasive way. Relations between the ejection fraction EF and the calculated new indexes give new insight into the problem of heart failure with preserved ejection fraction (HFpEF). Applications to clinical data published in the literature show the consistency of the mathematical formalism used.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123821155","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}
Shih-Hsiang Shen, Chung-Yi Ting, Chih-Yun Liu, H. Cheng, Shen-Iuan Liu, Chih-Ting Lin
{"title":"A silicon nanowire-based bio-sensing system with digitized outputs for acute myocardial infraction diagnosis","authors":"Shih-Hsiang Shen, Chung-Yi Ting, Chih-Yun Liu, H. Cheng, Shen-Iuan Liu, Chih-Ting Lin","doi":"10.1109/BHI.2014.6864450","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864450","url":null,"abstract":"Silicon nanowire-based biosensors have been identified as a promising biosensing technology. However, it suffers from the interface signal process to be applied into applications. In this paper, we utilize a readout circuit to directly transfer the signal obtained from a Si nanowire based sensing device into digital format. Based on the experimental results, cTnI and NT-proBNP, the biomarkers for acute myocardial infraction diagnosis, can be detected by the developed bio-sensing system in different concentration (320fM, 32pM, 3.2nM and 32nM). As a consequence, this work demonstrates the potential to translate Si nanowire biosensors device into applied bio-sensing systems.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473565","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}