2017 IEEE 30th Neumann Colloquium (NC)最新文献

{"title":"Consequence of demographic changes on hospital capacity planning","authors":"G. Surján, Z. Ruzsa","doi":"10.1109/NC.2017.8263276","DOIUrl":"https://doi.org/10.1109/NC.2017.8263276","url":null,"abstract":"It is a common belief that ageing society puts increasing burden on health care system. However there are some controversial publications in the literature about how serious this burden is. We examined the problem in context of hospital utilizations. Based on factual utilization data and factual and forecasted age distribution of Hungarian population we propose two approaches to estimate the demographic effect. The standardized approach recalculates the factual data under the assumption that age distribution were fixed to a reference year. Projected approach considers the behavior of health care system to be fixed (based on factual utilization data of the reference years) and calculates the changes due to the demographic changes. Results show that while the overall demographic effect is probably tolerable, a serious redistribution should be expected within care forms and medical specialties.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122621830","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":"Virtual reality healthcare system could be a potential future of health consultations","authors":"C. Sik-Lányi","doi":"10.1109/NC.2017.8263275","DOIUrl":"https://doi.org/10.1109/NC.2017.8263275","url":null,"abstract":"In this paper a newly developed software is described. It could help Virtual Consultations with GPs, physicians, specialists, or it could be a new type of e-health or m-health. The software is based on Virtual Reality and Augmented Reality. It is a new concept which is linked to e-health and m-health. The main goal of the “Virtual Health Consultation” software is to help medical consultations. The development of this software and its usability testing is described in this paper.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124388202","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":"Comparison of numerical image reconstruction methods in holography","authors":"Z. Garaguly, M. Kozlovszky, L. Kovács","doi":"10.1109/NC.2017.8263252","DOIUrl":"https://doi.org/10.1109/NC.2017.8263252","url":null,"abstract":"In favour of the reconstruction of the real or virtual image's phase and intensity, the complete digital holographic images are being processed. This reconstruction takes place with the numerical definition of the diffraction integral. One of the possible realization is the Fresnel approximation, which employs a sole Fourier-transformation. Another method is to interpret the diffraction formula as a convolution integral, and if we calculate the formula, it will be doubled or tripled because of the transformation. The impulse response of wave fields should be represented in this convolution approach, from which the Fourier transform can be immediately determined. The impulse response as well as the Fourier transform can be immediately specified, or well approximated. The essential distinction between the Fresnel and convolution approach is the different size of resultant images. Furthermore, this size in case of the Fresnel process depends on the distance of the object and the sensor, as well as the wavelength of the illuminating light; but in the other case, it is invalid.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134108417","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":"Assistive method for people with hearing disability-music visualisation","authors":"V. Szücs, Mostafa A. Elgendy","doi":"10.1109/NC.2017.8263264","DOIUrl":"https://doi.org/10.1109/NC.2017.8263264","url":null,"abstract":"Scientists have been in contact for centuries for interaction between different human sensory effects. The same roots of colors and sounds were shown by the Descartes light theory of the seventeenth century. Accordingly, the light and color perception were seen through the changes in the state of the ether, as well as the pressure of ether on the eye, just as hearing would be the pressure of the air vortex on the eardrum [1]. The analogy approach has given new impetus to Newton's color and light theory, as it has assigned a musical tone to the lines of colors on a chart of color charts. He considered that the seven colors of the spectrum could correspond to the seven voices of the diatonic scale [2]. Color can depend on the sound, pitch, volume, and other characteristics of the sound [3, 4]. Previously, in the studies with scientifically non-synesthetic subjects, each participant had to mark certain emotional dimensions on a scale, e.g. sad, cheerful, calm-angry, etc. Then participants had to choose a color that best suited the piece. The results demonstrated that emotions serve as an intermediate link in the association of music and colors [5, 6, 7]. Based on the above, the idea was that perhaps hearingimpaired, deaf people could be given a kind of “musical experience” by implementing an application that, by means of the colors assigned to the sounds and sounds through a visible dynamic, triggers the emotions they have induced. During the selection of the method and the appropriate technology, the purpose of developing is a visualization application which targets modern VR tools and 3D development environments, and adapts the technical toolkit of the 21st century, and of course, based on mathematical analysis [8, 9].","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129555593","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":"Performance analysis of a computational off-lattice tumor growth model","authors":"D. Kiss, A. Lovrics","doi":"10.1109/NC.2017.8263270","DOIUrl":"https://doi.org/10.1109/NC.2017.8263270","url":null,"abstract":"This paper presents a performance analysis of a three dimensional off-lattice agent based model of tumor growth. The model uses short range potential functions to handle mechanical interactions. This computationally intensive process can be accelerated by various reduction techniques. We focus on two different methods, a spatial decomposition which is extremely useful for simulating low density suspended cell cultures, and a heuristic to reduce computations for simulating solid tumors. We show that these techniques can significantly improve simulation performance in appropriate situations.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895306","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":"Blockchain: Solving the privacy and research availability tradeoff for EHR data: A new disruptive technology in health data management","authors":"G. Magyar","doi":"10.1109/NC.2017.8263269","DOIUrl":"https://doi.org/10.1109/NC.2017.8263269","url":null,"abstract":"A blockchain powered Health information ecosystem can solve a frequently discussed problem of the lifelong recorded patient health data, which seriously could hurdle the privacy of the patients and the growing data hunger of the research and policy maker institutions. On one side the general availability of the data is vital in emergency situations and supports heavily the different research, population health management and development activities, on the other side using the same data can lead to serious social and ethical problems caused by malicious actors. Currently, the regulation of the privacy data varies all over the world, however underlying principles are always defensive and protective towards patient privacy against general availability. The protective principles cause a defensive, data hiding attitude of the health system developers to avoid breaching the overall law regulations. It makes the policy makers and different — primarily drug — developers to find ways to treat data such a way that lead to ethical and political debates. In our paper we introduce how the blockchain technology can help solving the problem of secure data storing and ensuring data availability at the same time. We use the basic principles of the American HIPAA regulation, which defines the public availability criteria of health data, however the different local regulations may differ significantly. Blockchain's decentralized, intermediary-free, cryptographically secured attributes offer a new way of storing patient data securely and at the same time publicly available in a regulated way, where a well-designed distributed peer-to-peer network incentivize the smooth operation of a full-featured EHR system.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886635","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":"Surgical robots of the next decade: New trends and paradigms in the 21th century","authors":"T. Haidegger","doi":"10.1109/NC.2017.8263255","DOIUrl":"https://doi.org/10.1109/NC.2017.8263255","url":null,"abstract":"Robots in healthcare already have a stunning 40 years history, yet there is an unprecedented rise nowadays in new systems and clinical applications [1]. Surgical robotics is entering new domains, reaching new levels of integration, requiring highly sophisticated manipulation skills and decision making — on both the human and the mechatronic ends. The newest generation of robots does not only function as an agile extension of the human eyes and hands, but also becoming a skillful and smart co-worker of their MD counterpart [2]. Current trends include the seamless integration of preoperative and intra-operative images along with the (limited) decision-support offered to the clinicians, both in terms of surgical planning and navigation. Employment of smart tools, in vivo direct and indirect diagnostic methods are also on the rise. Microsurgery applications have been empowered by stable robotic platform both for hands-on and teleoperational control modes. Some companies are already talking about the introduction of cognitive surgical robots, which may open the era of Surgery 4.0, where procedures are boosted by Surgical Data Science and supported by big data analytics and optimization. These and many other technological advancements are to be presented. An emerging pattern is the cooperation of eminent research institutions, which is proved to benefit a lot the whole community. A great example of that is the Da Vinci Research Kit (DVRK) community, in which 25 outstanding labs (including the IROB at Óbuda University) synchronize their research, and share the results in an open source platform, relying on the open architecture research version of the famous da Vinci Classic robot [3]. Legislation and standardization activities are gradually following the technical development, striving to establish a safe and reliable environment for Surgical Robots 4.0 [4,5]. Assessment of medical robot capabilities is of great importance: safety can only be ensured through rigorous testing and verification processes. Existing and new systems should be assessed and scaled along their Degree of Autonomy, as a new concept that will create a basis for objective comparison of functions and capabilities. As a next step, the standardization bodies are looking into developing complete test sequences and scenarios for practical benchmarking. It is believed that the near future of medical robotics largely lies in cooperatively controlled systems, where robots and humans share the control, to exploit advantages of both. Humans will be able to benefit from the advantages of autonomous medical systems in the long term. The upcoming standards and test protocols should put emphasis on the evaluation and categorization of these systems [6]. The talk overviews the most important recent trends in the field, identifying some of the key enabling technologies and economic considerations. A critical analysis to the state of the art is also provided.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747105","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":"Applicability of process mining in the exploration of healthcare sequences","authors":"Krisztina Tóth, Károly Machalik, G. Fogarassy, Ágnes Vathy-Fogarassy","doi":"10.1109/NC.2017.8263273","DOIUrl":"https://doi.org/10.1109/NC.2017.8263273","url":null,"abstract":"Process mining is a widespread methodology for exploring various processes of different sectors. With the help of process mining techniques the limitations and deviations of the real processes can be revealed, and by these means improving steps can be suggested in process management. This methodology can be successfully used in the healthcare domain as well, although there are special features, which make healthcare event sequences unusual. In this work, we give an overview of the difficulties of healthcare process mining, and we point out the main differences of healthcare and industrial processes. Based on these statements, we give recommendations for managing the problems encountered in healthcare process mining and suggest a workflow to generate more precise process models. The recommendations are presented through a case study, in which we analyzed the medical care of colorectal cancer patients.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124108681","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":"Structured telemedicine: Economic aspects","authors":"M. Fidrich, T. Gyimóthy, J. Borbás, G. Stubnya","doi":"10.1109/NC.2017.8263261","DOIUrl":"https://doi.org/10.1109/NC.2017.8263261","url":null,"abstract":"In the field of telemedicine, one of the biggest challenge is to find the right solution corresponding to customers' needs in terms of usability and business model. Though 259,000 mobile health apps are available worldwide, only a small portion accounts for the majority of the market. Half of the downloads come from less than 100 applications, 62% of mHealth app publishers earn less than USD 10,000 or have no revenue, while the top 3% makes over USD 5 million. According to our experience, the discoverability of telemedicine applications is rather poor and users' demand could not meet the vast supply. It is difficult to find proper solutions mostly because of the lack of adequate categorization. Hence it is important to recommend and systematically apply a comprehensive categorization, accepted by major stakeholders. Though there have been various attempts, so far the disciplines involved (medicine, IT and economics) could not provide a relevant classification. We would recommend the following categorization aspects: Target audience — operating environment — medical discipline — type of application — sensor could determine the possible application more clearly. Finally, legal & business aspects are also included, in response to different audits and pricing mechanisms of telemedicine applications.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948821","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":"End-to-end deep framework for disease named entity recognition using social media data","authors":"Z. Miftahutdinov, E. Tutubalina","doi":"10.1109/NC.2017.8263281","DOIUrl":"https://doi.org/10.1109/NC.2017.8263281","url":null,"abstract":"A growing interest in the natural language processing methods applied to healthcare applications has been observed in the recent years. In particular, new drug pharmacological properties can be derived patient observations shared in social media forums. Developing approaches designed to automatically retrieve this information is of no low interest for personalized medicine and wide-scale drug tests. The full potential of the effective exploitation of both textual data and published biological data for drug research often goes untapped mostly because of the lack of tools and focused methodologies to curate and integrate the data and transform it into new, experimentally testable hypotheses. Deep learning architectures have shown promising results for a wide range of tasks. In this work, we propose to address a challenging problem by applying modern deep neural networks for disease named entity recognition. An essential step for this task is recognition of disease mentions and medical concept nor-malization, which is highly difficult with simple string matching approaches. We cast the task as an end-to-end problem, solved using two architectures based on recurrent neural networks and pre-trained word embeddings. We show that it is possible to assess the practicability of using social media data to extract representative medical concepts for pharmacovigilance or drug repurposing.","PeriodicalId":140536,"journal":{"name":"2017 IEEE 30th Neumann Colloquium (NC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127912922","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}