Frontiers in ICT最新文献_第2页

Application of Machine Learning in a Parkinson's Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status 机器学习在帕金森病数字生物标志物数据集中的应用，使用神经网络构建(NNC)方法区分患者的运动状态

Frontiers in ICT Pub Date : 2019-05-14 DOI: 10.3389/fict.2019.00010

I. Tsoulos, G. Mitsi, A. Stavrakoudis, S. Papapetropoulos

{"title":"Application of Machine Learning in a Parkinson's Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status","authors":"I. Tsoulos, G. Mitsi, A. Stavrakoudis, S. Papapetropoulos","doi":"10.3389/fict.2019.00010","DOIUrl":"https://doi.org/10.3389/fict.2019.00010","url":null,"abstract":"Parkinson’s disease (PD) patient care is limited by inadequate, sporadic symptom monitoring, infrequent access to care, and sparse encounters with healthcare professionals leading to poor medical decision making and sub-optimal patient health-related outcomes. Recent advances in digital health approaches have enabled objective and remote monitoring of impaired motor function with the promise of profoundly changing the diagnostic, monitoring, and therapeutic landscape in PD. We recently demonstrated that by using a variety of upper limb functional tests iMotor, an artificial intelligence powered, cloud-based digital platform differentiated PD subjects from healthy volunteers (HV). The objective of this paper is to provide preliminary evidence that artificial intelligence systems may allow one to discriminate PD patients from (HV) further and determine different features of the disease within a cohort of PD subjects. The recently introduced Neural Network Construction (NNC) technique was used here to classify data collected by a mobile application (iMotor, Apptomics Inc, Wellesley, MA) into two categories: PD for patients and HV. The method was tested on a series of data previously collected, and the results were compared against more traditional techniques for neural network training. The NNC algorithm discriminated individual PD patients from HVs with 93.11% accuracy and ON vs. OFF state with 76.5% accuracy. Future applications of artificial intelligence-powered digital platforms can enhance clinical care and research by generating rich, reliable and sensitive datasets that can be used for medical decision- making during and between office visits. Additional artificial intelligence-based studies in larger cohorts of patients are warranted.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"42 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83309627","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}

引用次数: 23

Preaching Voxels: An Alternative Approach to Mixed Reality 讲道体素:混合现实的另一种方法

Frontiers in ICT Pub Date : 2019-04-24 DOI: 10.3389/fict.2019.00007

H. Regenbrecht, Jung-Woong Park, Claudia Ott, S. Mills, Matthew Cook, T. Langlotz

{"title":"Preaching Voxels: An Alternative Approach to Mixed Reality","authors":"H. Regenbrecht, Jung-Woong Park, Claudia Ott, S. Mills, Matthew Cook, T. Langlotz","doi":"10.3389/fict.2019.00007","DOIUrl":"https://doi.org/10.3389/fict.2019.00007","url":null,"abstract":"For mixed reality applications, where reality and virtual reality are spatially merged and aligned in interactive real-time, we propose a pure voxel representation as a rendering and interaction method of choice. We show that voxelstextemdash gap-less volumetric pixels in a regular grid in spacetextemdash allow for an actual user experience of a mixed reality environment, for a seamless blending of virtual and real, and for a sense of presence and co-presence in such an environment. If everything is based on voxels, even if coarse, visual coherence is achieved inherently. We argue the case for voxels by (1) conceptually defining and illustrating voxel-based mixed reality, (2) describing the computational feasibility, (3) presenting a fully functioning, low resolution prototype, (4) empirically exploring the user experience, and finally (5) discussing current work and future directions for voxel-based mixed reality. This work is not the first that utilises voxels for mixed reality, but is the first that has an holistic view on voxel-based mixed realities as an effective way of experiencing and interacting with mixed reality environments.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"61 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83000548","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}

引用次数: 12

Corrigendum: Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support 勘误:与平行坐标的交互优化:探索决策支持的多维空间

Frontiers in ICT Pub Date : 2019-04-09 DOI: 10.3389/FICT.2019.00006

Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal

引用次数: 0

Cyber Security Threats and Challenges in Collaborative Mixed-Reality 协同混合现实中的网络安全威胁与挑战

Frontiers in ICT Pub Date : 2019-04-09 DOI: 10.3389/fict.2019.00005

J. Happa, M. Glencross, A. Steed

{"title":"Cyber Security Threats and Challenges in Collaborative Mixed-Reality","authors":"J. Happa, M. Glencross, A. Steed","doi":"10.3389/fict.2019.00005","DOIUrl":"https://doi.org/10.3389/fict.2019.00005","url":null,"abstract":"Collaborative Mixed-Reality (CMR) applications are gaining interest in a wide range of areas including games, social interaction, design and health-care. To date, the vast majority of published work has focused on display technology advancements, software, collaboration architectures and applications. However, the potential security concerns that affect collaborative platforms have received limited research attention. In this position paper, we investigate the challenges posed by cyber-security threats to CMR systems. We focus on how typical network architectures facilitating CMR and how their vulnerabilities can be exploited by attackers, and discuss the degree of potential social, monetary impacts, psychological and other harms that may result from such exploits. The main purpose of this paper is to provoke a discussion on CMR security concerns. We highlight insights from a cyber-security threat modelling perspective and also propose potential directions for research and development toward better mitigation strategies. We present a simple, systematic approach to understanding a CMR attack surface through an abstraction-based reasoning framework to identify potential attack vectors. Using this framework, security analysts, engineers, designers and users alike (stakeholders) can identify potential Indicators of Exposures (IoE) and Indicators of Compromise (IoC). Our framework allows stakeholders to reduce their CMR attack surface as well understand how Intrusion Detection System (IDS) approaches can be adopted for CMR systems. To demonstrate the validity to our framework, we illustrate several CMR attack surfaces through a set of use-cases. Finally, we also present a discussion on future directions this line of research should take.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"38 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74847936","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}

引用次数: 28

The Design of UDOO Boards: Contributing to the Appropriation of Digital Technology UDOO电路板的设计:有助于数字技术的应用

Frontiers in ICT Pub Date : 2019-03-18 DOI: 10.3389/fict.2019.00004

A. Rizzo, Maurizio Caporali, D. Conti, Francesco Montefoschi, G. Burresi, B. Sinopoli

引用次数: 1

Editorial: Active Learning: Theoretical Perspectives, Empirical Studies, and Design Profiles 社论:主动学习:理论视角、实证研究和设计概况

Frontiers in ICT Pub Date : 2019-03-07 DOI: 10.3389/fict.2019.00003

R. Cassidy, E. Charles, J. Slotta

引用次数: 7

Cords and Chords: Exploring the Role of E-Textiles in Computational Audio 绳索和和弦:探索电子纺织品在计算音频中的作用

Frontiers in ICT Pub Date : 2019-03-01 DOI: 10.3389/fict.2019.00002

R. Stewart

引用次数: 17

Touchy : A Visual Approach for Simulating Haptic Effects on Touchscreens 触觉:一种模拟触摸屏触觉效果的视觉方法

Frontiers in ICT Pub Date : 2019-02-13 DOI: 10.3389/fict.2019.00001

Antoine Costes, F. Argelaguet, F. Danieau, P. Guillotel, A. Lécuyer

引用次数: 17

Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support 基于平行坐标的交互优化:多维空间决策支持探索

Frontiers in ICT Pub Date : 2019-01-14 DOI: 10.3389/fict.2018.00032

Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal

{"title":"Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support","authors":"Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal","doi":"10.3389/fict.2018.00032","DOIUrl":"https://doi.org/10.3389/fict.2018.00032","url":null,"abstract":"Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice, computational frameworks are required, which can handle and visualize many objectives simultaneously, provide optimal solutions quickly and representatively, all while remaining simple and intuitive to use and understand by practitioners. Addressing these issues, this work introduces SAGESSE (Systematic Analysis, Generation, Exploration, Steering and Synthesis Experience), a decision support methodology, which relies on interactive multiobjective optimization. Its innovative aspects reside in the combination of (i) parallel coordinates as a means to simultaneously explore and steer the underlying alternative generation process, (ii) a Sobol sequence to efficiently sample the points to explore in the objective space, and (iii) on-the-fly application of multiattribute decision analysis, cluster analysis and other data visualization techniques linked to the parallel coordinates. An illustrative example demonstrates the applicability of the methodology to a large, complex urban planning problem.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"54 1","pages":"32"},"PeriodicalIF":0.0,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89957991","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}

引用次数: 17

Better Patient Outcomes Through Mining of Biomedical Big Data 通过生物医学大数据挖掘改善患者预后

Frontiers in ICT Pub Date : 2018-12-03 DOI: 10.3389/fict.2018.00030

C. Suter-Crazzolara

{"title":"Better Patient Outcomes Through Mining of Biomedical Big Data","authors":"C. Suter-Crazzolara","doi":"10.3389/fict.2018.00030","DOIUrl":"https://doi.org/10.3389/fict.2018.00030","url":null,"abstract":"Digitalization is changing healthcare today. Big data analytics of medical information allows diagnostics, therapy and development of personalized medicines, to provide unprecedented treatment. This leads to better patient outcomes, while containing costs. In this review, opportunities, challenges and solutions for this health-data revolution are discussed. Integration and near-instant-response analytics across large datasets ¬can support care-givers and researchers to test and discard hypotheses more quickly. Physicians want to compare a patient to other similar patients, to learn and communicate about treatment best-practices with peers, across large cohorts and sets of parameters. Real-time interactions between physician and patient are becoming more important, allowing ‘live’ support of patients instead of single interactions once every few weeks. Researchers from many disciplines (biomedical, payers, governments) want to interpret large anonymized datasets, to uncover trends in drug-candidate behavior, treatment regimens, clinical trials or reimbursements, and to act on those insights. These opportunities are however met by daunting challenges. Biomedical information is available in data silos of structured and unstructured formats (doctor letters, patient records, omics data, device data). Efficient usage of biomedical information is also hampered by data privacy concerns. This has led to a highly-regulated industry, as a result of which digitalization in healthcare has progressed slower than in other industries. This review concludes with examples of how integration and interpretation of big data can be used to break down data silos and pave the way to better patient outcomes, value-based care, and the creation of an intelligent enterprise for healthcare.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"43 1","pages":"30"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90686218","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}

引用次数: 9