{"title":"Secure Database Outsourcing to the Cloud: Side-Channels, Counter-Measures and Trusted Execution","authors":"Matthias Gabel, Jeremias Mechler","doi":"10.1109/CBMS.2017.141","DOIUrl":"https://doi.org/10.1109/CBMS.2017.141","url":null,"abstract":"Outsourcing data processing and storage to the cloud is a persistent trend in the last years. Cloud computing offers many advantages like flexibility in resource allocation, cost reduction and high availability. However, when sensitive information is handed to a third party, security questions are raised since the cloud provider and his employees are not fully trusted. Standard security mechanisms like transport encryption and regular audits alone cannot solve the issue of insider attacks. Additional cryptographic techniques are required. In this paper, we build upon an existing proxy for secure database outsourcing. We address potential side-channels and weaknesses, which are later analyzed and mitigated. Furthermore, we take a look at trusted execution environments (TEEs) like Intel Software Guard Extensions (SGX) and show how they can be applied to allow for secure execution in the secure database outsourcing case.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125266645","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":"Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population","authors":"Louise Brennan, Ailish Daly, B. Caulfield","doi":"10.1109/CBMS.2017.104","DOIUrl":"https://doi.org/10.1109/CBMS.2017.104","url":null,"abstract":"Introduction The increased prevalence of cancer survivors requires a focus on developing long-term, cost-effective management strategies to prevent and limit disability and morbidity. Background Cancer survivors with pain, weakness and restricted movement often benefit from targeted exercise programmes provided by a Physiotherapist. Physical, psychological and situational factors can impact on patients abilities to complete these exercises. In recent years, interactive biofeedback exercise systems have been shown to be effective in the rehabilitation of musculoskeletal impairments. Such a system has not yet been developed for cancer survivors. Proposal An targeted rehabilitation exercise biofeedback system for use in cancer survivors is proposed. This system aims to enhance rehabilitation outcomes using biofeedback, gamification and adherence promotion strategies. Conclusion An online targeted-exercise biofeedback system for use in cancer rehabilitation would be an innovative, beneficial development for the growing numbers of individuals surviving cancer.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131423722","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}
Harshani Perera, M. F. Shiratuddin, K. Wong, Kelly Fullarton
{"title":"EEG Signal Analysis of Real-Word Reading and Nonsense-Word Reading between Adults with Dyslexia and without Dyslexia","authors":"Harshani Perera, M. F. Shiratuddin, K. Wong, Kelly Fullarton","doi":"10.1109/CBMS.2017.108","DOIUrl":"https://doi.org/10.1109/CBMS.2017.108","url":null,"abstract":"With the evolution of technology and the major role that technology now plays in the diagnosis and identification of disorders and difficulties, improving the accuracy of diagnostic systems is paramount. Improving and evaluating the way in which patterns of results are identified and classified may help uncover answers that are not always obvious. This paper attempts to discover such patterns found in brainwave signals in adults who have been diagnosed with dyslexia using classifiers. Electroencephalogram (EEG) signals captured during real-word and nonsense-word reading activities from adults with dyslexia were compared with normal controls. The classification was performed using Linear Support Vector Machine (LSVM) and Cubic Support Vector Machine (CSVM) on different lobes of the brain. The study revealed that the nonsense-words classifiers produced higher validation accuracies compared to real-words classifiers, confirming difficulties in phonological decoding skills seen in individuals with dyslexia are reflected in the brainwave patterns.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131895146","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}
Marc Schickler, R. Pryss, Johannes Schobel, W. Schlee, T. Probst, M. Reichert
{"title":"Towards Flexible Remote Therapeutic Interventions","authors":"Marc Schickler, R. Pryss, Johannes Schobel, W. Schlee, T. Probst, M. Reichert","doi":"10.1109/CBMS.2017.93","DOIUrl":"https://doi.org/10.1109/CBMS.2017.93","url":null,"abstract":"In the context of therapeutic interventions, smart mobile devices are becoming increasingly important. First, they can properly assist patients in performing their homework - a support required for more efficient therapeutic interventions. Second, mobile applications enable therapists to monitor homework outcomes. From a technical perspective, frequently required changes of the mobile applications supporting therapeutic interventions constitute a major challenge. To tackle the latter for a multitude of remote therapeutic interventions, e.g., in psychotherapy or physiotherapy, we deploy process management technology to smart mobile devices. This paper discusses flexibility issues addressed by the mobile processes. Particularly, the achieved flexibility, in turn, increases the practical benefits of smart mobile devices in the context of remote therapeutic interventions.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007253","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":"Indoor Localization: A Cost-Effectiveness vs. Accuracy Study","authors":"Parisa Mohebbi, Eleni Stroulia, I. Nikolaidis","doi":"10.1109/CBMS.2017.126","DOIUrl":"https://doi.org/10.1109/CBMS.2017.126","url":null,"abstract":"Recognizing the occupants movement and locations within a home is a basic functionality, underlying a variety of smart-home services, including energy management, ambient environment control, and assistive-living services for seniors and people with disabilities. The outdoor-localization variant of the problem is effectively addressed with the use of GPS; however, GPS does not work well inside buildings, which makes the indoor positioning problem a very active research topic. In this paper, we report on a study of the indoor-localization problem, relying on easy-to-deploy, inexpensive, BLE-enabled stickers and beacons and WiFi access points.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124894107","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}
E. Tripoliti, Theofilos G. Papadopoulos, G. Karanasiou, F. Kalatzis, Y. Goletsis, A. Bechlioulis, S. Ghimenti, T. Lomonaco, F. Bellagambi, R. Fuoco, M. Marzilli, M. Scali, K. Naka, A. Errachid, D. Fotiadis
{"title":"Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques","authors":"E. Tripoliti, Theofilos G. Papadopoulos, G. Karanasiou, F. Kalatzis, Y. Goletsis, A. Bechlioulis, S. Ghimenti, T. Lomonaco, F. Bellagambi, R. Fuoco, M. Marzilli, M. Scali, K. Naka, A. Errachid, D. Fotiadis","doi":"10.1109/CBMS.2017.68","DOIUrl":"https://doi.org/10.1109/CBMS.2017.68","url":null,"abstract":"The aim of this work is to estimate the medication adherence of patients with heart failure through the application of a data mining approach on a dataset including information from saliva and breath biomarkers. The method consists of two stages. In the first stage, a model for the estimation of adherence risk of a patient, exploiting anamnestic and instrumental data, is applied. In the second stage, the output of the model, accompanied with data from saliva and breath biomarkers, is given as input to a classification model for determining if the patient is adherent, in terms of medication. The method is evaluated on a dataset of 29 patients and the achieved accuracy is 96%.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122894169","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":"Is a Decision Support System Based on Robson's Classification Enough to Reduce Cesarean Section Rates?","authors":"J. Gaspar, Z. Reis, Juliana Silva Barra","doi":"10.1109/CBMS.2017.143","DOIUrl":"https://doi.org/10.1109/CBMS.2017.143","url":null,"abstract":"The cesarean section (CS) rates are important global indicators for measuring the access to obstetric services. In 2001, Robson proposed a CS classification in ten-groups as the most appropriate to compare surgery rates. However, having a decisional support system from Robsons Classification is enough to reduce CS rates? The births analysis that occurred in 2016, inside a public hospital maternity, showed 1,946 deliveries of which 35.7% were CS with a positive growth trend (R2 = 0.137). The monthly analysis of the combined groups 1 to 4 from Robsons Classification allows the development of goals to improve labour assistance, and also preventing CS in parturient groups where preventable.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129844070","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}
Soudabeh Khodambashi, J. Gulla, P. Abrahamsson, Florentin Moser
{"title":"Design and Development of a Mobile Decision Support System: Guiding Clinicians Regarding Law in the Practice of Psychiatry in Emergency Department","authors":"Soudabeh Khodambashi, J. Gulla, P. Abrahamsson, Florentin Moser","doi":"10.1109/CBMS.2017.77","DOIUrl":"https://doi.org/10.1109/CBMS.2017.77","url":null,"abstract":"Decision-making in an emergency department needs to be efficient. It does not allow observation of the patient for a prolonged period of time, especially if the patients harm themselves or others, or refuses treatment. This includes suicidal, violent, intentional self-inflicted or non-consenting to treatments patient. Clinicians have to quickly decide whether to call the police, admit the patient to the psychiatric ward, according to recommended, predefined procedures. Since, for different situations different laws are applicable, clinicians need to follow certain procedures and consider specific legal issues while also handling challenging patients at the emergency department. Finding the right information quickly and following the recommended procedure is essential since the repercussions for a doctor acting incorrectly could be severe. This paper presents a mobile decision support system (DSS) prototype designed for healthcare providers to identify and follow the correct procedure based on applicable laws to mitigate the chance of incorrect actions being taken, along with the associated risks and preserve both the patients and their own rights. We explored healthcare providers requirements and alternatives for visualizing information by conducting observation, semi structured interviews and a total of four co-design workshops. The resulting mobile DSS enables clinicians to quickly access the correct information regarding their power and authority while also protecting the safety and welfare of the patient. Usability evaluation of the prototype showed that the average time spent to complete a given task was about 12 seconds by a total of six medical interns. Participants of the evaluation described the system easy to use, intuitive and highly useful for everyday use.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852458","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":"Travelers’ Perceptions about m-Health Technology","authors":"Parisis Gallos, J. Mantas","doi":"10.1109/CBMS.2017.169","DOIUrl":"https://doi.org/10.1109/CBMS.2017.169","url":null,"abstract":"The aim of this paper is to present the perceptions of the Travelers about the m-Health Technology. An empirical study was conducted to record travelers’ mobile technology usage behavior and their perceptions about a proposed idea for an m-Health application. A pilot mobile application which informs travelers for health issues automatically, according to their current location was developed based on the finding of the study and evaluated by a small group of users. Based on the study findings, over 84% of the Greek Travelers were using Smartphones, but only 27.6% had used an m-Health application. Additionally, they expressed their positive attitude about the idea for a “Smart” mobile application. After a quantitative and qualitative evaluation, the pilot mobile application found to be accepted by the travelers who state their intention to use this technology on the future. Overall, it can be assumed that Greek Travelers have a good view about","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128395657","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}
Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, M. Tsipouras, D. Tsalikakis, N. Giannakeas, A. Tzallas, P. Manousou
{"title":"Automated Collagen Proportional Area Extraction in Liver Biopsy Images Using a Novel Classification via Clustering Algorithm","authors":"Dimosthenis C. Tsouros, Panagiotis N. Smyrlis, M. Tsipouras, D. Tsalikakis, N. Giannakeas, A. Tzallas, P. Manousou","doi":"10.1109/CBMS.2017.99","DOIUrl":"https://doi.org/10.1109/CBMS.2017.99","url":null,"abstract":"Diagnosis and staging of liver diseases are essential for the therapeutic efficacy of medication and treatment strategies. Measuring the Collagen Proportional Area (CPA) in liver biopsies recently becomes an effective tool for the assessment of fibrosis in liver tissues. State of the art image processing techniques are employed to analyze biopsy images, providing objective assessment of diseases severity. In current work a novel modification of K-means clustering is proposed for image segmentation of liver biopsies. More specifically, supervised restriction of centroids movement is utilized. In the first stage, a training set of images are employed to extract a hypercube for each class. Then, one centroid is initialized inside each hypercube and during the iterations of the clustering is allowed to move only inside the hypercube. For the evaluation of the proposed method 8 liver biopsy images are employed and classification results along with CPA values are computed for each image.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120913334","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}