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Step up life: a context aware health assistant Step up life:一个环境感知健康助手
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676636
Vijay Rajanna, Raniero Lara-Garduno, Dev Jyoti Behera, K. Madanagopal, Daniel W. Goldberg, T. Hammond
{"title":"Step up life: a context aware health assistant","authors":"Vijay Rajanna, Raniero Lara-Garduno, Dev Jyoti Behera, K. Madanagopal, Daniel W. Goldberg, T. Hammond","doi":"10.1145/2676629.2676636","DOIUrl":"https://doi.org/10.1145/2676629.2676636","url":null,"abstract":"A recent trend in the popular health news is, reporting the dangers of prolonged inactivity in one's daily routine. The claims are wide in variety and aggressive in nature, linking a sedentary lifestyle with obesity and shortened lifespans [25]. Rather than enforcing an individual to perform a physical exercise for a predefined interval of time, we propose a design, implementation, and evaluation of a context aware health assistant system (called Step Up Life) that encourages a user to adopt a healthy life style by performing simple, and contextually suitable physical exercises. Step Up Life is a smart phone application which provides physical activity reminders to the user considering the practical constraints of the user by exploiting the context information like the user location, personal preferences, calendar events, time of the day and the weather [9]. A fully functional implementation of Step Up Life is evaluated by user studies.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140192","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: 27
Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields 基于条件随机场的帕金森病运动时间序列步态冻结预测
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676630
Roland Assam, T. Seidl
{"title":"Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields","authors":"Roland Assam, T. Seidl","doi":"10.1145/2676629.2676630","DOIUrl":"https://doi.org/10.1145/2676629.2676630","url":null,"abstract":"Freezing of Gait (FOG) in Parkinson's Disease (PD) is a brief episodic impedance of movement that is mostly manifested at the late stages of the PD. Accelerometer sensors are widely utilized to collect dysfunctional movement time series data stemming from patients with PD. In this work, we propose a robust FOG predictive model that employs a combination of wavelets and Conditional Random Fields (CRF) to predict FOG episodes from low level FOG accelerometer time series interleaved with normal movement time series of PD patients. Specifically, in order to derive and extract unique signature features of FOG time series, we utilize wavelets to perform in-depth analysis of PD movement spectral at multiple resolutions. We design a CRF that leverages the extracted signature feature vectors to diligently learn the underlying characteristics of FOG time series and to effectively predict FOG episodes at their onsets. Our empirical evaluations on a real PD dataset demonstrate that our technique delivers enhanced prediction accuracies.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124440571","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: 14
Spatio-temporal disease tracking using news articles 利用新闻文章进行时空疾病追踪
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676637
Rongjian Lan, M. Adelfio, H. Samet
{"title":"Spatio-temporal disease tracking using news articles","authors":"Rongjian Lan, M. Adelfio, H. Samet","doi":"10.1145/2676629.2676637","DOIUrl":"https://doi.org/10.1145/2676629.2676637","url":null,"abstract":"Geographical Information Systems have been increasingly used to aid the prompt detection, tracking, and analysis of disease outbreaks. Web content which is full of health-related data also serves as a useful resource for disease outbreak analysis. News posts often report the initial outbreak of diseases and contain valuable information that aids in ascertaining the time and location of the disease outbreak. The locations mentioned in the news posts are specified textually rather than geometrically thereby requiring the use of geotagging methods to detect them and to map the textual specification to the corresponding actual geometric specification. The NewsStand system which aggregates news posts by topic and location while providing a map query interface to them is enhanced to enable disease tracking and analysis by geotagging disease-related web news posts. Besides the powerful functionalities of NewsStand for news exploration, enhancements of NewsStand with respect to the analysis of temporal information are described which include a well-designed time slider, a heatmap-based visualization tool for displaying disease distribution, and intuitive spatio-temporal querying methods. Future improvements to NewsStand are also discussed.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129726269","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: 27
A system for geoanalysis of clinical and geographical data 临床和地理数据的地理分析系统
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676635
G. Canino, P. Guzzi, G. Tradigo, A. Zhang, P. Veltri
{"title":"A system for geoanalysis of clinical and geographical data","authors":"G. Canino, P. Guzzi, G. Tradigo, A. Zhang, P. Veltri","doi":"10.1145/2676629.2676635","DOIUrl":"https://doi.org/10.1145/2676629.2676635","url":null,"abstract":"Patients enrolled in clinical trials are regularly subject to biological analyses and related data is included in Electronic Medical Records (EMRs) to summarize patient health status and to support administrative information. Well defined protocols guide the bioanalytes studies on patients. Often EMRs also contain geographical data about patients, i.e. place of birth and place of living. The integration of geographical data and biological analytes may represent a meaningful way to extract hidden information from data. For instance, possible correlations among outlier patients and some feature of areas they live in.\u0000 In collaboration with the University Hospital of Catanzaro, we designed a framework able to integrate and analyze biological analytes. The system is able to relate biological data to diagnosis codes and to analyze integrated data against geographic areas of interest. The aim is to show correlations among patients features (e.g. cluster of patients with similar profiles or outlier patients) and areas features (e.g. presence of power grids or polluted sites). In addition we present a study on correlations between cardiovascular diseases and water quality in Calabria.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110556","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: 2
Spatial access to substance abuse treatment for low-income and minority households: a case study in Dallas-Fort Worth Metroplex, Texas 低收入和少数族裔家庭获得药物滥用治疗的空间途径:德克萨斯州达拉斯-沃斯堡大都会区的案例研究
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676632
Christopher Clary, Yuxia Huang
{"title":"Spatial access to substance abuse treatment for low-income and minority households: a case study in Dallas-Fort Worth Metroplex, Texas","authors":"Christopher Clary, Yuxia Huang","doi":"10.1145/2676629.2676632","DOIUrl":"https://doi.org/10.1145/2676629.2676632","url":null,"abstract":"Recent health care overhauls increase demand on services and give a whole new group of individuals the possibility of seeking out care and treatment. One area that often gets overlooked is the substance abuse treatment. Spatial access to healthcare facilities influences health services usage as distance to facilities was recognized as a significant barrier to health access. In this study using an enhanced two-step floating catchment method, we measured spatial access to substance abuse treatment facilities at the Census block group level in the Dallas-Fort Worth metroplex, Texas. The results show the access disparities vary spatially within block groups in this area. In addition, we identified hotspots for low-income and racial/ethnic minority households in the area and then compared them with the spatial accessibility environment to better understand the service coverage among low-income and minority communities. The results show that low income and minority have disadvantages to access to substance abuse treatment facilities in the Dallas-Fort Worth metroplex area.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128998280","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: 2
A GIS-based serious game recommender for online physical therapy 一个基于gis的在线物理治疗严肃游戏推荐
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676634
Imad Afyouni, F. Rehman, A. Qamar, Akhlaq Ahmad, Mohamed Abdur Rahman, Saleh M. Basalamah
{"title":"A GIS-based serious game recommender for online physical therapy","authors":"Imad Afyouni, F. Rehman, A. Qamar, Akhlaq Ahmad, Mohamed Abdur Rahman, Saleh M. Basalamah","doi":"10.1145/2676629.2676634","DOIUrl":"https://doi.org/10.1145/2676629.2676634","url":null,"abstract":"As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing need for intelligent medical technologies, which enable patients to live independently at home. This paper introduces a novel e-Health framework that leverages GIS-based serious games for people with disabilities. This framework consists of a spatial map-browsing environment augmented with our newly introduced multi-sensory Natural User Interface. We propose a comprehensive architecture that includes a sensory data manager, a storage layer, an information processing and computational intelligence layer, and a user interface layer. Detailed mathematical modeling as well as mapping methodology to convert different therapy-based hand-gestures into navigational movements within the serious game environment are also presented. Moreover, an Intelligent Game Recommender has been developed for generating optimized navigational routes based on therapeutic gestures. Motion data is stored in a repository throughout the different sessions for offline replaying and advanced analysis; and different indicators are displayed in a live manner. This framework has been tested with Nokia, Google maps, ESRI map, and other maps whereby a subject can visualize and browse the 2D and 3D map of the world through therapy-based gestures. To the best of our knowledge, this is the first GIS-based game re-commender framework for online physical therapy. The prototype has been deployed to a disability center. The obtained results and feedback from therapists and patients are very encouraging.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124936572","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
Geovisualization for cluster detection of hepatitis A & E outbreaks in Ahmedabad, Gujarat, India 用于印度古吉拉特邦艾哈迈达巴德甲型和戊型肝炎疫情聚集性检测的地理可视化
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676631
C. Hughes, Vinayak Naik, R. Sengupta, D. Saxena
{"title":"Geovisualization for cluster detection of hepatitis A & E outbreaks in Ahmedabad, Gujarat, India","authors":"C. Hughes, Vinayak Naik, R. Sengupta, D. Saxena","doi":"10.1145/2676629.2676631","DOIUrl":"https://doi.org/10.1145/2676629.2676631","url":null,"abstract":"In this paper, we describe a waterborne disease surveillance system for the city of Ahmedabad, Gujarat, India. The proposed system utilizes geocoded disease cases collected using android tablets in an open-source webGIS. Cluster and hot-spot analysis is automated in python and the results get pushed to a cloud-based database for subsequent web-based geovisualization. The end-user is able to interact with the geovisualization module to display individual and aggregated disease data along with related attributes and the locations of any hot-spots. This system meets the need for cost-effective, near-real time disease surveillance in developing countries.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122135480","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
Using address histories in health research: challenges and recommendations for research 在卫生研究中使用地址历史:挑战和研究建议
HealthGIS '14 Pub Date : 2014-11-04 DOI: 10.1145/2676629.2676638
A. Hughes, S. Pruitt
{"title":"Using address histories in health research: challenges and recommendations for research","authors":"A. Hughes, S. Pruitt","doi":"10.1145/2676629.2676638","DOIUrl":"https://doi.org/10.1145/2676629.2676638","url":null,"abstract":"Longitudinal address histories are underutilized in Health GIS research; we describe some of the challenges limiting use of these data. We make suggestions for research efforts that can help other researchers access the information contained within address histories.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116276014","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: 2
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