Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters最新文献

Out-ward monitoring of neurorehabilitation in subacute stroke 亚急性脑卒中患者神经康复的外监测

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283544

Silvia Franco-Pastrana, F. Orihuela-Espina, Patrick Heyer-Wollenberg, J. Herrera-Vega, L. Sucar, Luis R. Castrejon, M. Saucedo, Lorena Palafox, Jorge Hernández-Franco

{"title":"Out-ward monitoring of neurorehabilitation in subacute stroke","authors":"Silvia Franco-Pastrana, F. Orihuela-Espina, Patrick Heyer-Wollenberg, J. Herrera-Vega, L. Sucar, Luis R. Castrejon, M. Saucedo, Lorena Palafox, Jorge Hernández-Franco","doi":"10.4108/EAI.20-5-2019.2283544","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283544","url":null,"abstract":"Validated clinical scales of functional dexterity of stroke patients provide only sparse and controlled observations of the neurorehabilitation process. Continuous naturalistic monitoring the progress during the rehabilitation therapy of out-patients remains unsatisfactorily resolved. We propose a new indicator of functional performance capitalizing on smart devices and the cloud services. The new index of limb usage balance (ILUB) derived from accelerometry data, provides an objective scalar that it is easy to estimate and interpret, and adequate for continuous uncontrolled monitoring. Three studies for the verification and validation of the index and accompanying platform are presented. We show that the index is unbiased to handedness dominance and provide preliminary evidence that it is appropriate for patients even during the subacute stage. The new index can complement clinical scales to observe the patient progress. CCSConcepts • Social and professional topics→Medical technologies; •Human-centered computing→Ubiquitous and mobile computing; Ubiquitous and mobile computing systems and tools; •Applied computing→ Health care information systems.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128120249","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

WheezeD: Respiration Phase Based Wheeze Detection Using Acoustic Data From Pulmonary Patients Under Attack 喘息:基于呼吸阶段的喘息检测，利用肺部患者的声学数据

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283516

Soujanya Chatterjee, Mahbubur Rahman, Ebrahim Nemanti, Jilong Kuang

{"title":"WheezeD: Respiration Phase Based Wheeze Detection Using Acoustic Data From Pulmonary Patients Under Attack","authors":"Soujanya Chatterjee, Mahbubur Rahman, Ebrahim Nemanti, Jilong Kuang","doi":"10.4108/EAI.20-5-2019.2283516","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283516","url":null,"abstract":"Wheezing is one of the most prominent symptoms for pulmonary attack. Hence, wheezing detection has attracted a lot of attention in recent years. However, there is a dearth of a reliable method that can automatically detect wheezing events during each respiration phase in presence of several concurrent sounds such as cough, throat clearing, and nasal breathing. In this paper, we develop a model called WheezeD which, to the best of our knowledge, represents the first step towards developing a computational model for respiration phased based wheeze detection. WheezeD has two components, first, we develop an algorithm to detect respiration phase from audio data. We, then transform the audio into 2-D spectro-temporal image and develop a convolutional neural network (CNN) based wheeze detection model. We evaluate the model performance and compare them to conventional approaches. Experiments on a public dataset show that our model can identify wheezing event with an accuracy of 96.99%, specificity of 97.96%, and sensitivity of 96.08%, which is over 10% improvement in performance compared to the best accuracy reported in the literature by using traditional machine learning models on the same dataset. Moreover, we discuss how WheezeD may be used towards assessment and computation of patient severity.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133765071","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: 13

Designing Thermal Feedback for Notifying Users About Stress 设计热反馈通知用户有关压力

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283340

Romina Poguntke, J. Ilk, A. Schmidt, Yomna Abdelrahman

{"title":"Designing Thermal Feedback for Notifying Users About Stress","authors":"Romina Poguntke, J. Ilk, A. Schmidt, Yomna Abdelrahman","doi":"10.4108/EAI.20-5-2019.2283340","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283340","url":null,"abstract":"Though many new technologies have been adopted for stress detection, communicating stress to the users is still experienced primarily through visual or auditory channels. However, these commonly used feedback channels are already associated with smartphone notifications. Instead, we focus on thermal feedback yielding the advantage to preserve privacy due to its unobtrusiveness. By this work, we contribute an investigation of thermal feedback for notifying users about stress comprising the exploration of the preferred temperature level, rate of change, and body location. Accordingly, we compared different stimuli for each for those in a user study involving 21 participants. From their quantitative and qualitative feedback, we found that cold stimuli are preferred in general, showing that ± − 0.5◦C is the optimal rate of change and preferably when presented at the lower back. We conclude with discussing our findings from both the quantitative and qualitative data and finally present our research agenda paving the way for thermal feedback as a stress notifier.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935610","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

Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions 在生活方式干预中不显眼的血压测量

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283509

Ariane Morassi Sasso, Suparno Datta, Bjarne Pfitzner, Lin Zhou, N. Steckhan, E. Boettinger, B. Arnrich

{"title":"Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions","authors":"Ariane Morassi Sasso, Suparno Datta, Bjarne Pfitzner, Lin Zhou, N. Steckhan, E. Boettinger, B. Arnrich","doi":"10.4108/EAI.20-5-2019.2283509","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283509","url":null,"abstract":"Hypertension is one of the most prevalent chronic diseases worldwide. Early diagnosis of this condition can prevent the incidence of stroke and also, cardiovascular diseases (CVDs) such as myocardial infarction and heart failure. Lifestyle interventions, such as intermittent fasting (IF), aim to lower blood pressure (BP) levels and increase the health of patients with cardiometabolic conditions. However, for monitoring BP, we still rely on a cuff that slows the flow of blood, which is both uncomfortable and makes continuous monitoring implausible. Recent research has shown that BP can be estimated using comfortable sensors such as the photoplethysmography (PPG) and the electrocardiography (ECG). Features that can be used for the estimation of BP are systolic upstroke time (SUT) and diastolic time (DT) extracted from the PPG signal, and pulse arrival and transit time (PAT/PTT) derived from the combination of ECG and PPG signals. In this paper we present: (1) a study design to collect continuous physiological signals, before and after a 7-days intermittent fasting (IF) intervention from both cardiometabolic and non-hypertensive patients using wearable devices and (2) initial results for predicting continuous blood pressure from the PPG and ECG signals using statistical and machine learning methods.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124278334","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: 1

You Are How You Sleep: Personalized Sleep Monitoring Based on Wrist Temperature and Accelerometer Data 你就是你的睡眠:基于手腕温度和加速度计数据的个性化睡眠监测

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2282879

Jing Wei, J. Boger

{"title":"You Are How You Sleep: Personalized Sleep Monitoring Based on Wrist Temperature and Accelerometer Data","authors":"Jing Wei, J. Boger","doi":"10.4108/EAI.20-5-2019.2282879","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2282879","url":null,"abstract":"Good sleep is a key component of good health, and as such, how to obtain quality sleep is of concern to many people. Circadian rhythms vary between individuals and play an important role in regulating sleep, however, they are currently not monitored by commercially available wearables. Previous work has shown that circadian rhythm is reflected in changes of wrist temperature. In this work, we present a prototype wristband that measures motion and temperature at the wrist. We developed an algorithm to detect wrist temperature increase onset, which is an indicator of the body preparing for sleep. Our results demonstrate that our algorithm is able to detect wrist temperature increase onset, which appears to occur at the same time for the same person. We also show that temperature increase onset varies between people as does overall temperature patterns between people. The detection of wrist temperature patterns gives us a deeper understanding of the mechanisms underlying sleep and could be a valuable component of a personalized sleep monitoring algorithm.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124684470","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

An explorative review of youth mental health apps for prevention and promotion 青少年心理健康app预防与促进的探索性回顾

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283578

Toni Michel, P. Slovák, G. Fitzpatrick

引用次数: 2

Digestinn- a serious game to stimulate reporting in obesity treatment. Digestinn——一款刺激肥胖治疗报告的严肃游戏。

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-06-11 DOI: 10.4108/EAI.20-5-2019.2283651

S. V. Oers, N. R. Herrera, T. Aalbers

引用次数: 0

Uses and Attitudes of Old and Oldest Adults towards Self-Monitoring Health Systems 老年人对自我监测卫生系统的使用和态度

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2019-05-23 DOI: 10.4108/EAI.20-5-2019.2283510

Ine D'haeseleer, K. Gerling, B. Vanrumste, D. Schreurs, C. Buckingham, V. Abeele

{"title":"Uses and Attitudes of Old and Oldest Adults towards Self-Monitoring Health Systems","authors":"Ine D'haeseleer, K. Gerling, B. Vanrumste, D. Schreurs, C. Buckingham, V. Abeele","doi":"10.4108/EAI.20-5-2019.2283510","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283510","url":null,"abstract":"Oldest adults (80 years and over) are the fastest growing group in the total world population. This is putting pressure on national healthcare budgets, as the distribution of healthcare expenses is strongly age-dependent. One way of mitigating this burden may be to let older adults contribute to their own health directly by using self-management health systems (SMHS). SMHS might help older, including oldest, adults gain insight into their health status, and invite them to take action. However, while many studies report on user evaluations of older adults with one specific sensor system, fewer studies report on older adults’ uses and attitudes towards integrated SMHS. Moreover, most studies include participants with mean ages of 65 rather than 80. In this paper, we report on a qualitative study, consisting of a focus group interview and a user evaluation of an SMHS by 12 participants with a median age of 85 years. Three main findings were derived: Older adults (1) showed heterogeneity in computer skills, (2) found health technologies useful for others – not yet for themselves, and (3) perceived health technologies as a threat to social interaction. These findings suggest that health technologies are not ready for adoption by older adults yet, and further research on making them more accessible and desirable is required.","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123301128","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

Co-sleep: Designing a workplace-based wellness program for sleep deprivation 共同睡眠:设计一个基于工作场所的睡眠剥夺健康计划

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 2018-09-26 DOI: 10.4108/EAI.20-5-2019.2283753

B. Zhai, S. Nicholson, Kyle Montague, Yu Guan, P. Olivier, J. Ellis

{"title":"Co-sleep: Designing a workplace-based wellness program for sleep deprivation","authors":"B. Zhai, S. Nicholson, Kyle Montague, Yu Guan, P. Olivier, J. Ellis","doi":"10.4108/EAI.20-5-2019.2283753","DOIUrl":"https://doi.org/10.4108/EAI.20-5-2019.2283753","url":null,"abstract":"Sleep deprivation is a public health issue. Awareness of sleep deprivation has not been widely investigated in workplace-based wellness programmes. This study adopted a three-stage design process with nine participants from a local manufacturing company to help raise awareness of sleep deprivation. The common causes of sleep deprivation were identified through the deployment of technology probes and participant interviews. The study contributes smart Internet of things(IoT) workplace-based design concepts for activity tracking that may aid sleep and explore ways of sharing personal sleep data within the workplace. Through the use of co-design methods, the study also highlights prominent privacy concerns relating to use of personal data from different stakeholders' perspectives, including the unexpected use of sleep data by organisations for fatigue risk management and the evaluation of employee performance. The Actigrahy and sleep diary data can be accessed online through https://github.com/famousgrouse/pervasivehealth/","PeriodicalId":250903,"journal":{"name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107146","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

Design of an Ontology for Decision Support in VR Exposure Therapy 虚拟现实暴露治疗决策支持本体的设计

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters Pub Date : 1900-01-01 DOI: 10.4108/EAI.20-5-2019.2283493

J. Heyse, F. Ongenae, Jolien De Letter, A. All, F. D. Backere, F. Turck

引用次数: 4