T. M. Seeberg, Jon Vedum, M. Sandsund, H. Austad, Anders E. Liverud, Astrid-Sofie B. Vardøy, I. Svagård, F. Strisland
{"title":"Development of a wearable multisensor device enabling continuous monitoring of vital signs and activity","authors":"T. M. Seeberg, Jon Vedum, M. Sandsund, H. Austad, Anders E. Liverud, Astrid-Sofie B. Vardøy, I. Svagård, F. Strisland","doi":"10.1109/BHI.2014.6864342","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864342","url":null,"abstract":"This paper reports on the development and testing of a wearable device intended as a component in an ambulatory system for health monitoring of physical rehabilitation patients. The device measures heart rate, skin temperature, activity level and posture on the user's chest. The wearable device has been run through a set of verification tests and the accuracy has been validated in controlled environment on 12 healthy volunteers. A long term user pilot with 5 congestive heart failure patients and their nurses was performed to test the whole system. The conclusion from the performed tests is that the developed wearable multisensor monitoring device is reliable, accurate, easy to use and fit for the purpose.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"95 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":"134487184","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}
Alejandro Mañas Garcia, R. Sanz-Requena, Á. Alberich-Bayarri, G. García-Martí, Lucia Aparici Tortajada, Enrique Ruiz Martinez, L. Martí-Bonmatí
{"title":"Imaging biomarkers processing platform","authors":"Alejandro Mañas Garcia, R. Sanz-Requena, Á. Alberich-Bayarri, G. García-Martí, Lucia Aparici Tortajada, Enrique Ruiz Martinez, L. Martí-Bonmatí","doi":"10.1109/BHI.2014.6864391","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864391","url":null,"abstract":"This paper presents the preliminary work in a software tool to provide the service of imaging biomarkers quantification for radiologists, supporting a wide variety of biomarkers for several types of acquired images, mainly focused on computed tomography (CT), magnetic resonance (MR) and derived image types. The platform can be accessed from every hospital in a shared network, allowing radiologists to upload medical images or select them from the picture archiving and communication system (PACS), and choose the appropriate imaging biomarker for the selected images. Once the images and the biomarker are correctly selected, the post-processing phase will be executed. Then, the platform sends a message to the system administrator in order to attend imaging processes whenever necessary, especially in semi-automatic workflows that need expert interaction. When the biomarker has been obtained, an automatic report is generated, offering several templates to the radiologist for the final report customization. Internally, the system takes care of saving the results on a local database and sending a copy of the report to the source PACS in DICOM Structured Report format. Nowadays, this platform has a collection of eighteen biomarkers that can be applied in several clinical research areas like neuroscience, cardiovascular, thorax, abdomen, pelvis, musculoskeletal or oncology.","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":"115467684","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":"Human chromosome classification using Competitive Neural Network Teams (CNNT) and Nearest Neighbor","authors":"Sadina Gagula-Palalic, M. Can","doi":"10.1109/BHI.2014.6864442","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864442","url":null,"abstract":"This paper presents a novel approach to human chromosome classification. Human cell contains 22 pairs of autosomes and a pair of sex chromosomes. In this research, 22 types of autosomes represent 22 classes to be distinguished. New method of classification is based on the special organized committee of 462 simple perceptrons, called Competitive Neural Network Teams (CNNTs). Each perceptron is trained to differentiate two classes (i.e. two types of chromosome), hence there are 22 × 21 learning machines. Moreover, dummy perceptrons are set to zero for the chromosomes from the same class. The final outcome of the testing data is a 22×22 decision matrix, containing outcomes of each machine. With the special interpretation of these decisions, higher correct classification rate is achieved, reaching over 95%. The method can be further improved when testing is performed on a cell-by-cell basis by using CNNT complemented by Nearest Neighbor technique. The classification is applied to the Copenhagen chromosome data set and Sarajevo chromosome data set.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"217 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":"114794551","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}
J. Osma, I. Plaza, E. Crespo, C. Medrano, R. Serrano
{"title":"Proposal of use of smartphones to evaluate and diagnose depression and anxiety symptoms during pregnancy and after birth","authors":"J. Osma, I. Plaza, E. Crespo, C. Medrano, R. Serrano","doi":"10.1109/BHI.2014.6864423","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864423","url":null,"abstract":"In this work the development and use of mobile applications for pregnant women is investigated. The state of the art reveals the need of developing an app for mobile devices, as a service to prevent depression in pregnant women through the assessment of the emotional state, early detection of anxiety or depression symptoms and rapid referral for psychological care to prevent suffering and chronicity of symptoms. This app could be used even in regions where the health assistance is poor, like in rural areas.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"22 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":"114707287","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}
Jorge Calvillo-Arbizu, Isabel Roman-Martinez, Laura M. Roa-Romero
{"title":"Standardized access control mechanisms for protecting ISO 13606-based electronic health record systems","authors":"Jorge Calvillo-Arbizu, Isabel Roman-Martinez, Laura M. Roa-Romero","doi":"10.1109/BHI.2014.6864421","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864421","url":null,"abstract":"EHR systems have acquired a primary role in the technological revolution of healthcare services and the improvement of quality and efficiency of care. Although EHR application is more and more extended, the protection of EHR data against unauthorized intruders continues being a major concern. EHR standards provide authorization requirements flexible enough to be addressed for different technological implementations, and so EHR solutions often develop ad-hoc access control schemes. Although there are wide-known general-purpose mechanisms to enforce access control policies, their application rate to the access control of EHR systems (by satisfying standard requirements) is low. In this work an XACML-based access control mechanism is presented that includes mandatory principles of the ISO 13606 family of standards. This makes use of semantic technologies to boost interoperability by defining attributes as ontology classes and policies as rules. The decision making process is automatically performed by an inference engine based on policies and sensitivity level of EHR extracts from ISO 13606-4. Finally, this work discusses the potential of combining security requirements of EHR standards with wide-known access control schemas.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"153 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":"116386523","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":"Extension to Distributed Annotation System: Summary command","authors":"C. Chrysostomou, R. Hastings, A. Brookes","doi":"10.1109/BHI.2014.6864439","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864439","url":null,"abstract":"Using the current version of the Distributed Annotation System (DAS) protocol to obtain data from large regions of interest from remote DAS servers can be a time and resource consuming process. Therefore it would be useful to know the amounts and types of features that exist in a region of interest before the DAS request is made. In the current DAS protocol (1.6), the types of data that exist with a DAS source can be obtained before the complete set of features are requested for a specific region using the feature command. Depending on the implementation of the types command in the DAS server, the number of features across the segment can also be obtained. However, counting of features is computationally intensive for every user request and so most DAS servers do not include it in their implementation. For these DAS servers in order for the user to obtain counts of features, the complete set of features needs to be obtained and re-analysed. Additionally in the current DAS protocol no parameter exists to include or exclude the count of features per type when needed. In this paper, an addition to DAS protocol is proposed and implemented in order to request a summary of the features that exist within a region of interest when needed. The summary command was implemented in order to broaden the functionalities, and extend the flexibility of the current DAS protocol. The summary functionality can conserve time and resources, especially for large regions of interest.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"173 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":"123451544","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. Barca, Carlos Marcos Lagunar, Juan Mario Rodríguez, Ana María Quintero Padrón, I. R. Martins, Ivan Martinez, M. A. Sanguino, T. Lobo
{"title":"yourEHRM: Standard-based management of your personal healthcare information","authors":"C. Barca, Carlos Marcos Lagunar, Juan Mario Rodríguez, Ana María Quintero Padrón, I. R. Martins, Ivan Martinez, M. A. Sanguino, T. Lobo","doi":"10.1109/BHI.2014.6864311","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864311","url":null,"abstract":"The standardisation of the architecture of electronic healthcare records is essential for two reasons: i) the records are being used to support shared care among clinicians with different specializations; ii) the standardisation process eases the introduction of mobile technologies within and among countries between people who provide and receive healthcare. It is a common problem previously addressed in the literature that already existing EHR approaches often present interoperability issues that restrain their effective application, since the different system components do not share a common nomenclature, data types, message syntax and encoding rules. Hospitals cannot share the clinical information of the patient. yourEHRM architecture implements standards that enable the exchange of desired medical information. The solution is based on generic information models that conform to openEHR/EN13606 archetypes associated with concepts of well-known terminologies such as SNOMED-CT. Besides it offers the possibility to exchange information with other Hospital Information Systems (HIS) using Health Level 7 (HL7) Clinical Data Architecture (CDA), Continuity of Care Record (CCR), Continuity of Care Document (CCD) or virtual Medical Record (vMR) as the payload. The architecture also permits the integration of data coming from heterogeneous and fragmented healthcare information systems and devices into the EHR.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"48 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":"117096326","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}
Bantita Treepong, Narucha Tanaiutchawoot, C. Wiratkapun, J. Suthakorn
{"title":"On the design and development of a breast biopsy navigation system: Path generation algorithm and system with its GUI evaluation","authors":"Bantita Treepong, Narucha Tanaiutchawoot, C. Wiratkapun, J. Suthakorn","doi":"10.1109/BHI.2014.6864356","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864356","url":null,"abstract":"Breast cancer is a major problem for women throughout the world. It is the second most common factor for women's death. Therefore, early detection by breast biopsy is a necessary process for decreasing the mortality rate. In the breast biopsy process, a surgical specialist is required. Moreover, the traditional breast biopsy procedure is based on 2D real-time ultrasound images guidance, while the procedure is done on a soft-breast tissue with 3D objects. To increase the surgeon's performance in breast biopsy, and to reduce the error opportunity, we propose to develop a breast biopsy navigation system using optical tracking system and a passive robotic needle holder. This paper focuses on the process of developing the path generation algorithm, prototyped breast biopsy navigation system and its graphical user interface (GUI) that displays details to guide the surgeon in performing the procedure. A number of experiments have been done to test and evaluate the efficiency of the navigation system and its GUI. The result shows the success rate of this system is about 80%.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"2012 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":"127375901","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 verification methodology for a wireless body sensor network functionality","authors":"H. A. Hamadi, A. Gawanmeh, M. Al-Qutayri","doi":"10.1109/BHI.2014.6864444","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864444","url":null,"abstract":"Modern healthcare systems benefit from the phenomenal advances that continue to be made in ICT. These advances have resulted in the development of several technologies that have become fundamental parts of electronic healthcare systems such as wireless body sensor networks (WBSNs). WBSNs integrate wearable and implanted devices with wireless communication and information processing systems to monitor the well-being of an individual. Testing and verification of WBSNs are of paramount importance as faults in these critical systems may lead to loss of life. In this paper, we propose a framework to verify the functionality of WBSN healthcare system using formal methods. We adopted a practical WBSN design, and provided a model for its behavior, then defined several properties for its correct operation, and finally we used theorem proving method to show that the proposed design correctly implements the required properties.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"4 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":"127200681","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. Valdés-Mas, J. Martín-Guerrero, M. J. Rupérez, C. Peris, Carlos Monserrat Aranda
{"title":"Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation","authors":"M. Valdés-Mas, J. Martín-Guerrero, M. J. Rupérez, C. Peris, Carlos Monserrat Aranda","doi":"10.1109/BHI.2014.6864474","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864474","url":null,"abstract":"This work proposes a new approach based on Machine Learning to predict astigmatism in patients with kera-toconus (KC) after ring implantation. KC is a non-inflamatory, progressive thinning disorder of the cornea, resulting in a protusion, myopia and irregular astigmatism. The intracorneal ring implantation surgery has become a suitable technique to deal with keratoconus without the need of a corneal transplant. Two machine learning (ML) classifiers based on artificial neural network and a decision tree were used in this work. Artificial neural networks performed better than decision trees, achieving an absolute mean error lower than 2 diopters in a validation data set. An analysis of the most relevant features was also carried out.","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":"129159958","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}