2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops最新文献

Integration of textile-based sensors and Shimmer for breathing rate and volume measurement 基于纺织品的传感器和微光的呼吸频率和体积测量的集成

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-10-10 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246104

C. Rovira-Borràs, S. Coyle, B. Corcoran, D. Diamond, Florin Stroiescu, Kieran Daly

引用次数: 12

Correlation between self-reported mood states and objectively measured social interactions at work: A pilot study 自我报告的情绪状态与工作中客观测量的社会互动之间的相关性:一项初步研究

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246136

Alban Maxhuni, A. Matic, V. Osmani, O. Mayora-Ibarra

引用次数: 6

Prompting people with dementia to carry out tasks: What works and why? 促使痴呆症患者执行任务:什么有效，为什么有效?

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246129

H. Boyd, N. Evans, B. Carey-Smith, R. Orpwood

引用次数: 3

Salutogenesis: A new paradigm for pervasive computing in healthcare environments? 健康生成:医疗环境中普适计算的新范式?

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246064

Cathy Dalton, Kevin McCartney

{"title":"Salutogenesis: A new paradigm for pervasive computing in healthcare environments?","authors":"Cathy Dalton, Kevin McCartney","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246064","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246064","url":null,"abstract":"Salutogenesis is now accepted as a part of the contemporary model of disease: an individual is not only affected by pathogenic factors in the environment, but those that promote well-being or salutogenesis. Given that \"environment\" extends to include the built environment, promotion of salutogenesis has become part of the architectural brief for contemporary healthcare facilities, drawing on an increasing evidence-base. Salutogenesis is inextricably linked with the notion of person-environment \"fit\". MyRoom is a proposal for an integrated architectural and pervasive computing model, which enhances psychosocial congruence by using real-time data indicative of the individual's physical status to enable the environment of his/her room (colour, light, temperature) to adapt on an on-going basis in response to bio-signals. This work is part of the PRTLI-IV funded programme NEMBES, investigating the use of embedded technologies in the built environment. Different care contexts require variations in the model, and iterative prototyping investigating use in different contexts will progressively lead to the development of a fully-integrated adaptive salutogenic single-room prototype.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129173288","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: 8

Wearable rehab technology for automatic measurement of patients with arthritis 用于关节炎患者自动测量的可穿戴康复技术

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246010

J. Connolly, K. Curran, J. Condell, P. Gardiner

引用次数: 19

A subjective evaluation of multimodal notifications 多模式通知的主观评价

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246001

David Warnock

引用次数: 15

aTUG: Fully-automated timed up and go assessment using ambient sensor technologies aTUG:使用环境传感器技术的全自动定时启动和运行评估

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.245985

T. Frenken, Björn Vester, M. Brell, A. Hein

{"title":"aTUG: Fully-automated timed up and go assessment using ambient sensor technologies","authors":"T. Frenken, Björn Vester, M. Brell, A. Hein","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.245985","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.245985","url":null,"abstract":"A novel approach to fully automating the Timed Up & Go (TUG) assessment test in professional and domestic environments is presented. The approach, called aTUG, is based on the usage of ambient sensor technologies i.e. two light barriers, four force sensors, and a laser range scanner built into a single apparatus i.e. a chair. aTUG supports execution and documentation of traditional TUG and enhanced component-based TUG. aTUG defines five components: Standing up, walking there, turning, walking back, and sitting down. Algorithms for detection of those components and for computation of their duration and the duration of the whole TUG are presented. An experiment with five elderly patients aged 74-91 years, four female, one male, most multi-morbid has been conducted in a residential care facility in Oldenburg, Germany. Results of the experiment show that aTUG can reliably and precisely measure total duration of TUG and durations of the single components with mean error of only 0.05 seconds and mean standard deviation of 0.59 seconds using especially its force and range measurements. German patent is pending for the presented approach.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768323","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: 45

Orange alerts: Lessons from an outdoor case study 橙色警报:户外案例研究的经验教训

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246081

Jie Wan, Caroline A. Byrne, Gregory M. P. O'Hare, M. O'Grady

引用次数: 31

Towards a generalized regression model for on-body energy prediction from treadmill walking 用广义回归模型预测跑步机行走的身体能量

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246026

Harshvardhan Vathsangam, Adar Emken, Todd Schroeder, D. Spruijt-Metz, G. Sukhatme

{"title":"Towards a generalized regression model for on-body energy prediction from treadmill walking","authors":"Harshvardhan Vathsangam, Adar Emken, Todd Schroeder, D. Spruijt-Metz, G. Sukhatme","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246026","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246026","url":null,"abstract":"Walking is a commonly available activity to maintain a healthy lifestyle. Accurately tracking and measuring calories expended during walking can improve user feedback and intervention measures. Inertial sensors are a promising measurement tool to achieve this purpose. An important aspect in mapping inertial sensor data to energy expenditure is the question of normalizing across physiological parameters. Common approaches such as weight scaling require validation for each new population. An alternative is to use a hierarchical model to model subject-specific parameters at one level and cross-subject parameters connected by physiological variables at a higher level. In this paper, we evaluate an inertial sensor-based hierarchical model to measure energy expenditure across a target population. We first determine the optimal physiological parameter set to represent data. Weight is the most accurate parameter (p<;0.1) measured as percentage prediction error. We compare the hierarchical model with a subject-specific regression model and weight exponent scaled models. Subject-specific models perform significantly better (p<;0.1 per subject) than weight exponent scaled models at all exponent scales whereas the hierarchical model performed worse than both. We study the effect of personalizing hierarchical models using model results as initial conditions for training subject-specific models with limited training data. Using an informed prior from the hierarchical model produces similar errors to using a subject-specific model with large amounts of training data (p<;0.1 per subject). The results provide evidence that hierarchical modeling is a promising technique for generalized prediction energy expenditure prediction across a target population in a clinical setting.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011989","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: 4

Introducing a low-cost ambient monitoring system for activity recognition 引入一种低成本的活动识别环境监测系统

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI: 10.4108/ICST.PERVASIVEHEALTH.2011.246003

S. Chiriac, B. Saurer, Gabi Stummer, C. Kunze

引用次数: 11