Proceedings of the 6th International Conference on Digital Health Conference最新文献_第2页

Emotional Virtual Agent to Improve Ageing in Place with Technology 情感虚拟代理在技术上改善衰老

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896368

Wathek Bellah Loued, H. Pigot

引用次数: 2

#hayfever; A Longitudinal Study into Hay Fever Related Tweets in the UK #枯草热;对英国花粉热相关推文的纵向研究

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896342

E. Quincey, T. Kyriacou, T. Pantin

引用次数: 12

Indoor Environmental Effects on Individual Wellbeing 室内环境对个体健康的影响

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896376

Karthik Srinivasan, S. Ram

引用次数: 1

Session details: Big Data and Social Media Studies on Nutrition 会议细节:营养大数据和社交媒体研究

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257763

Yelena Mejova

引用次数: 0

Proposition and Validation of a New Index to Determine the Measurement Change Resolution of Inertial Motion Tracking Systems 惯性运动跟踪系统测量变化分辨率新指标的提出与验证

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896361

K. Lebel, P. Boissy, Hung Nguyen, C. Duval

{"title":"Proposition and Validation of a New Index to Determine the Measurement Change Resolution of Inertial Motion Tracking Systems","authors":"K. Lebel, P. Boissy, Hung Nguyen, C. Duval","doi":"10.1145/2896338.2896361","DOIUrl":"https://doi.org/10.1145/2896338.2896361","url":null,"abstract":"Orientation data for biomechanical assessment of motion may be obtained from inertial measurement units (IMUs) through the use of a fusion algorithm estimating the orientation of the platform in a fixed and global reference frame from 3D inertial sensors data (accelerometers, gyroscopes, magnetometers). In the current literature, there are evidences that accuracy of the IMUs? estimated orientation varies according to the segment/joint tracked and the movement performed. Typical accuracy studies on IMUs present validation data in the form of root-mean-square difference (RMSD) with a gold standard and/or similarity with recognized gold standard. However, since the error in estimation of the fusion algorithm used by the IMUs is not fully random and is suspected of being somewhat movement-related, this can lead to an over-estimation of the measurement error in a test-retest context. This paper introduces a novel index to determine the Measurement Change Resolution (MCR). The MCR combines the traditional RMSD approach with a reliability index, the Coefficient of Multiple Correlation (CMC) to establish the measurement noise around the actual point of operation of a given IMU. The MCR concept is then tested using orientation data recorded simultaneously with an IMU system and an optoelectronic system in three participants performing repeated gait cycles. Results show that the MCR computed on the maximum range of motion of the knee during walking is a better approximation of the actual resolution of the measure than the traditional error-level estimation using √2 RMSD.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131702796","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: 0

An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics 支持新出现流行病的激增能力规划的分析框架

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896354

Martina Curran, E. Howley, J. Duggan

{"title":"An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics","authors":"Martina Curran, E. Howley, J. Duggan","doi":"10.1145/2896338.2896354","DOIUrl":"https://doi.org/10.1145/2896338.2896354","url":null,"abstract":"Epidemics are a serious public health challenge, with epidemiologists and health analysts constantly trying to find more succinct ways to predict, and then prevent or minimize their impact. An important problem facing health systems is ensuring they are prepared for severe epidemics. Being able to predict an epidemic is only one part of the problem: resources need to be monitored in order to ensure their availability in the event of severe epidemics. Using System Dynamic modelling, health analysts can predict epidemics to a certain extent using previous infection dynamics, however mitigation strategies would be improved dramatically if the prediction was in real-time, utilizing the full potential of information from a range of sources: participatory surveillance systems, sentinel data from General Practitioners (GPs) etc. Using these techniques alongside Surge Capacity modelling allows the monitoring of resources for all areas of the health system, equipment levels, staff levels, and bed availability etc., ensuring better preparedness. This paper introduces a way to bring these concepts together, and highlights future work which will expand on these ideas allowing for the possible reallocation of resources in the event of shortage in some areas, and spare capacity in others.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131715756","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: 3

Session details: Big Data Analytics for Health 会议详情:健康大数据分析

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257759

A. April

引用次数: 0

Session details: Digital Health Technology Design 会议细节:数字健康技术设计

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257757

A. Sanna

引用次数: 0

Session details: Big Data and Social Media Studies on Weightloss and Obesity 会议细节:减肥和肥胖的大数据和社交媒体研究

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257762

H. Haddadi

引用次数: 0

Characterizing Physical Activity in a Health Social Network 健康社会网络中身体活动的特征

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896349

J. Ebrahimi, Nhathai Phan, D. Dou, B. Piniewski, David Kil

{"title":"Characterizing Physical Activity in a Health Social Network","authors":"J. Ebrahimi, Nhathai Phan, D. Dou, B. Piniewski, David Kil","doi":"10.1145/2896338.2896349","DOIUrl":"https://doi.org/10.1145/2896338.2896349","url":null,"abstract":"New horizons are emerging within healthcare delivery, education, intervention provision, and tracking. We study a health social network that has tracked physical activities, biomarkers, and posts the participants have shared, throughout a one-year program. The program was aimed at helping people to adopt healthy behaviors and to lose weight. In this paper, we focus on users' posts that relate to physical activities. Prior papers characterize health based solely on users' information disclosed through natural language or questionnaires. The drawback of these works is their lack of medical records or health-related information to validate their findings. By contrast, with our direct access to users' physical and medical data, we investigate the implication of users' posts at both individual and group levels. We are able to validate our hypotheses about the effects of certain social network activities, by contextualizing them in the specific users' actual medical progress and documented levels of exercise. Our findings show that activity self-disclosure posts are good indicators of one's real-world physical activity, which makes them good resources for monitoring the participants. In addition, using a physical activity propagation model, we show how these posts can influence the physical activity behavior at the network level. Further, posts exhibit distinctive affective, biological, and linguistic style markers. We observe that these characteristics can be used in a predictive capacity, to detect positive activity signals with ~88% accuracy, which can be utilized for an unobtrusive monitoring solution.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132925824","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: 5