{"title":"Multi atlas-based segmentation with data driven refinement","authors":"O. J. D. Toro, H. Müller","doi":"10.1109/BHI.2014.6864437","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864437","url":null,"abstract":"Anatomical structure segmentation is the basis for further image analysis processes. Although there are many available segmentation methods there is still the need to improve the accuracy and speed of them to be used in a clinical environment. The VISCERAL project organizes a benchmark to compare approaches for organ segmentation in big data. A fully-automatic segmentation method using the VISCERAL data set is proposed in this paper. It incorporates both the local contrast of the image using an intensity feature as well as atlas probabilistic information to compute the definite labelling of the structure of interest. The usefulness of the new intensity feature is evaluated using contrast-enhanced CT images of the trunk. An overall average increase is computed in the overlap of the segmentations with an improvement of up to 33% for several anatomical structures when compared to only using an atlas based segmentation method. Qualitative results are also shown for MR images supporting the inclusion of this contrast feature in atlas-based segmentation methods for several modalities.","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":"132396751","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}
Ilaria Bortone, A. Argentiero, N. Agnello, S. Sabato, A. Bucciero
{"title":"A two-stage approach to bring the postural assessment to masses: The KISS-Health Project","authors":"Ilaria Bortone, A. Argentiero, N. Agnello, S. Sabato, A. Bucciero","doi":"10.1109/BHI.2014.6864380","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864380","url":null,"abstract":"The human body is in a posture every minute of every day: it can be static, such as when resting, or dynamic, such as when walking. It is quite frequent that people assume poor postures during the day and they make their bodies more susceptible to injuries. Considering this, prevention assumes a central role as it can avoid damage and pain in day-to-day life, but it is very poorly practiced in the majority of countries, even in the Western world. Moreover, diagnosis and assessments for postural abnormalities are demanded to few specialized centers, which usually perform anecdotal or subjective evaluations. In this paper, we propose an innovative model to face up to postural abnormalities starting from a two-stage approach that have been conceived and are being implemented by the KISS-Health Project. The idea consists of two units: a) the Mobile Diagnostic System, which is composed of both hardware and software components and it will permit a first assessment of human posture in order to identify people at risk; b) the Laboratory Diagnostic System, which will investigate more accurately the complete postural configuration of the subject going under exam. It is our goal to promote an integrated approach that, based on scientific and economical evidences, will reduce the costs related to postural abnormalities.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"3 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":"131661404","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}
First J. Xiao, Second B. Wang, Third K. Peng, Fourth Z. Zhu
{"title":"Neurovascular coupling study of PTZ-induced seizure in rats by simultaneous real-time 3D PAT and EEG at two wavelengths","authors":"First J. Xiao, Second B. Wang, Third K. Peng, Fourth Z. Zhu","doi":"10.1109/BHI.2014.6864369","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864369","url":null,"abstract":"Neurovascular coupling in epilepsy is poorly understood, the study of which requires simultaneous monitoring of hemodynamic changes and neural activity in the brain. Here we for the first time present a combined real-time 3D Photoacoustic tomography (PAT) and electro-physiology (EEG) system for the study of neurovascular coupling in epilepsy, whose ability was demonstrated with a pentylenetetrazol (PTZ) induced generalized seizure model in rats. Two groups of experiments were carried out with different wavelengths to detect the changes of oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hbr) signals in the rat brain. We extracted the average PAT signals of the superior sagittal sinus (SSS), and compared them with the EEG signal. Results showed that the seizure process can be divided into three stages. A `dip' lasting for 1-2 minutes in the first stage and the following hyperfusion in the second stage were observed. The oxy-hemoglobin (HbO2) signal and the deoxy-hemoglobin (Hbr) signal were generally negatively correlated. Compared to other existing functional neuroimaging tools, the proposed method here enables reliable tracking of hemodynamic signal with both high spatial and temporal resolution in 3D, so it's more suitable for neurovascular coupling study of epilepsy.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"9 6 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":"131732029","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}
T. Rocha, Simão Paredes, P. Carvalho, J. Henriques
{"title":"Assessing the similarity between time series using a Wavelet transform: Application and interpretability aspects","authors":"T. Rocha, Simão Paredes, P. Carvalho, J. Henriques","doi":"10.1109/BHI.2014.6864448","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864448","url":null,"abstract":"This work presents a simple and interpretable measure to evaluate the similarity between biosignal time series. Combining the Haar wavelet with the Karhunen Loève transforms, the proposed similarity measure is particularly appropriated to deal with noisy signals, with signals that are not time aligned as well as to recognize similar trends. When applied to an indexing scheme, an iterative formulation enables a very efficient computational implementation. Experimental and simulation results using blood pressure signals collected by a telemonitoring platform (TEN-HMS) show the effectiveness of the proposed scheme.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"31 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":"125501846","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}
Bruno M. C. Silva, J. Rodrigues, Tiago M. C. Simões, S. Sendra, Jaime Lloret
{"title":"An ambient assisted living framework for mobile environments","authors":"Bruno M. C. Silva, J. Rodrigues, Tiago M. C. Simões, S. Sendra, Jaime Lloret","doi":"10.1109/BHI.2014.6864399","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864399","url":null,"abstract":"Ambient assisted living (AAL) delivers IT solutions that aim to facilitate and improve lives of the disabled, elderly, and chronically ill people. Mobility is a key issue for elderly people because their physical activity, in general, improves their quality of life and keep health status. Then, this paper presents an AAL framework for caregivers and elderly people that allow them to maintain an active lifestyle without limiting their mobility. This framework includes four AAL tools for mobility environments: i) a fall detection mobile application; ii) a biofeedback monitoring system trough wearable sensors; iii) an outdoor location service through a shoe equipped with Global Positioning System (GPS); and iv) a mobile application for caregivers that take care of several elders confined to a home environment. The proposal is evaluated and demonstrated and it is ready for use.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"59 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":"126438952","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. Uddin, Ajay Gupta, K. Maly, T. Nadeem, S. Godambe, A. Zaritsky
{"title":"SmartSpaghetti: Accurate and robust tracking of Human's location","authors":"M. Uddin, Ajay Gupta, K. Maly, T. Nadeem, S. Godambe, A. Zaritsky","doi":"10.1109/BHI.2014.6864321","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864321","url":null,"abstract":"An important tool of the Lean management is the “Spaghetti Diagram”, which helps to establish the optimum layout for a department or a ward based on the movements performed by patients, staff and/or products (e.g., x-ray machines). The spaghetti diagram is usually created manually in which the movements of staff members and/or patients are visually observed. In our previous work, we reported the development of SmartSpaghetti system, which generates the Spaghetti Diagram in an automated and non-intrusive way by tracking a human's location using the smartphone's inertia sensors. In this paper, we address the challenges of SmartSpaghetti system in tracking human's location by estimating the distance traveled and the direction change in an accurate and robust way. Finally, we show preliminary evaluation of the developed distance and direction estimation modules of SmartSpaghetti system.","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":"125717847","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 information fusion approach for recognition of music-induced emotions","authors":"M. Naji, M. Firoozabadi, P. Azadfallah","doi":"10.1109/BHI.2014.6864340","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864340","url":null,"abstract":"In the present paper, a new information fusion approach based on 3-channel forehead biosignals (from left temporalis, frontalis, and right temporalis muscles) and electrocardiogram is adopted to classify music-induced emotions in arousal-valence space. The fusion strategy is a combination of feature-level fusion and naive-Bayes decision-level fusion. Optimal feature subsets were derived by using a consistency-based feature evaluation index and sequential forward floating selection technique. An average classification accuracy of 89.24% was achieved, corresponding to valence classification accuracy of 94.86% and average arousal classification accuracy of 94.06%, respectively.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"97 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":"114137742","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":"Making medical treatments resilient to technological disruptions in telemedicine systems","authors":"N. Larburu, I. Widya, R. Bults, H. Hermens","doi":"10.1109/BHI.2014.6864359","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864359","url":null,"abstract":"Telemedicine depends on Information and Communication Technology (ICT) to support remote treatment of patients. This dependency requires the telemedicine system design to be resilient for ICT performance degradation or subsystem failures. Nevertheless, using telemedicine systems create a dependency between medical and technological concerns. We propose a layering technique that links medical and technological concerns by using a two-staged scenario based requirements elicitation method. This layering technique provides functional relations between technological variables (e.g. raw ECG signal) and their technological context (e.g. measurements conditions), clinical variables (e.g. heart rate), and clinical abstractions (e.g. physical exercise target heart rate) and the non-functional quality of data relations between the layers. We use a hierarchical ontology to specify these functional and nonfunctional relations, which enables the development of technological context and quality-aware telemedicine systems that are able to cope with technological disruptions whilst preserving patient safety.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"8 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":"115314099","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}
G. Auzias, Camille Breuil, S. Takerkart, C. Deruelle
{"title":"Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners","authors":"G. Auzias, Camille Breuil, S. Takerkart, C. Deruelle","doi":"10.1109/BHI.2014.6864366","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864366","url":null,"abstract":"Multi-site studies utilizing MRI-derived measures from multiple scanners present an opportunity to increase the power of statistical models by pooling data. This represents the potential of detecting finer and more subtle effects related to pathology and is thus very appealing. It remains however unclear whether or not the potential confound introduced by scanner-related variations will devalue the integrity of any result. Specifically, it is crucial to test whether or not the error introduced into brain morphometry descriptors by image properties variations across scanners can exceed the effect of the disease itself. Moreover, evaluating the influence of the scanner on age-related effects in measurements is essential in the context of developmental disorders such as Autism Spectrum Disorders. In this study, we investigated a data-set of anatomical MRI pooled form three different scanners, representing a total of 186 subjects, 97 patients suffering from ASD and 89 controls. We quantitatively assessed the effects of age, pathology and scanner factors on cortical thickness measurements.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"36 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":"113967502","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. Poulymenopoulou, F. Malamateniou, G. Vassilacopoulos
{"title":"A virtual PHR authorization system","authors":"M. Poulymenopoulou, F. Malamateniou, G. Vassilacopoulos","doi":"10.1109/BHI.2014.6864307","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864307","url":null,"abstract":"Cloud computing and Internet of things (IOT) technologies can support a new generation of PHR systems which are provided as cloud services that contain patient data (health and social) from various sources, including automatically transmitted data from Internet connected devices of patient living space (e.g. medical devices connected to patients at home care). In this paper, the virtual PHR concept is introduced as an entity on the network consisted of (a) a non-healthcare component containing health and social information collected by either the patient or non-healthcare providers, (b) a medical device component containing health information transmitted from Internet connected medical devices and (c) a healthcare professional component containing information stored into various healthcare information systems. The PHR concept is based on the patient-centered model dictating that patients are the owners of their information. Hence, patients are empowered to authorize other subjects to access it that introduces specific security challenges which are further accentuated by the fact that diverse local security policies may need to be reconciled. The PHR authorization system proposed here is based on a combination of role-based and attribute-based access control (RABAC) and supports patient-specified authorization policies of various granularity levels subject to constraints imposed by the security policies of the various health and social care providers involved. To this end, an ontology of granular security concepts is built to aid in semantically matching diverse authorization requests and to enable semantic rule reasoning on whether a requested access should be permitted or denied.","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":"131518152","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}