2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)最新文献_第5页

Towards semantics in wearable sensors: The role of transducers electronic data sheets (TEDS) ontology in sensor networks 面向可穿戴传感器中的语义:传感器电子数据表(TEDS)本体在传感器网络中的作用

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749525

O. S. Ajigboye, K. Danas

{"title":"Towards semantics in wearable sensors: The role of transducers electronic data sheets (TEDS) ontology in sensor networks","authors":"O. S. Ajigboye, K. Danas","doi":"10.1109/HealthCom.2016.7749525","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749525","url":null,"abstract":"Sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for Smart Transducers. These contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. Therefore, seamless integration and interoperability between sensing technology in wearable and Health Information Systems (HIS) requires attention on the interoperability opportunities at the semantic level. The proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127401867","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: 7

Prediction of anatomical exposure to solar UV: A case study for the head using SimUVEx v2 预测解剖暴露于太阳紫外线:使用SimUVEx v2对头部的案例研究

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HEALTHCOM.2016.7749513

A. Religi, L. Moccozet, D. Vernez, A. Milon, C. Backes, J. Bulliard, L. Vuilleumier

{"title":"Prediction of anatomical exposure to solar UV: A case study for the head using SimUVEx v2","authors":"A. Religi, L. Moccozet, D. Vernez, A. Milon, C. Backes, J. Bulliard, L. Vuilleumier","doi":"10.1109/HEALTHCOM.2016.7749513","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2016.7749513","url":null,"abstract":"Excessive exposure to solar ultraviolet (UV) radiation is the main cause of skin cancer. The dose-response between UV exposure and skin cancer occurrence is not yet fully understood since UV exposure is highly heterogeneous and strongly influenced by host and behavioural factors, such as posture, orientation to the sun, skin complexion and clothing. To address this issue, a three-dimensional (3D) numeric model (SimUVEx) has been developed to assess dose and distribution of anatomical UV exposure. The model uses 3D computer graphics techniques to compute UV radiance on the basis of postural information and ambient irradiation data, without necessitating time-consuming individual dosimetry, ensuring a wide potential use in skin cancer prevention and research. With the purpose to improve simulation capabilities in order to obtain more realistic scenarios and quantify effective sun protection strategies, a new version has been released, SimUVEX v2. Among new features, a specific morphology for the most sun-exposed body area, the head, has been added. We selected three different styles of hat (cap, wide-brimmed hat and helmet) to compare scenarios with and without solar protections considering the relative contribution of the direct, diffuse and reflected radiation. It was found that, sites directly covered apart (e.g., forehead and top of the head), hats with a wide brim are necessary in order to provide reasonable protections around facial zones on which non-melanoma skin cancers commonly occur, such as nose and cheeks.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132572528","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: 7

Opportunistic physical activity monitoring via passive WiFi radar 通过被动WiFi雷达进行机会性的身体活动监测

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749458

Wenda Li, Bo Tan, R. Piechocki, I. Craddock

引用次数: 14

Sway analysis and fall prediction method based on spatio-temporal sliding window technique 基于时空滑动窗技术的摇摆分析与坠落预测方法

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749488

Kabalan Chaccour, Hiba Al Assaad, A. Hassani, R. Darazi, Emmanuel Andres

{"title":"Sway analysis and fall prediction method based on spatio-temporal sliding window technique","authors":"Kabalan Chaccour, Hiba Al Assaad, A. Hassani, R. Darazi, Emmanuel Andres","doi":"10.1109/HealthCom.2016.7749488","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749488","url":null,"abstract":"As people age, they become more fragile and exhibit difficulties in maintaining their gait and balance. Their state of fragility increases their vulnerability to fall incidents. Various analysis methods were developed to detect the abnormality of human gait and balance, and estimate the risk of falling. In this paper, we present a method to estimate the falling risk and alert the patient when a fall is about to happen. The proposed method consists in monitoring and analyzing the amount of sway of the center of mass in the medial-lateral plane by computing the center of pressure displacement at the foot plantar surface. Our proposed method uses the spatio-temporal sliding window processing to generate fall alarms and estimate the falling risk. The method was validated via a two-phase experimental protocol with five young adults who performed a walk of 20 stances with simulated sways using an instrumented shoe with resistive pressure sensors. The threshold of the normal walk THN and the risk level RL of the altered walk are determined as well as the risk of falling. The method can be applied in real-life and clinical settings with real-time processing.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116870074","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

An approach to localization in crowded area 一种拥挤区域的定位方法

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749446

Md Osman Gani, G. Ahsan, Duc Do, Drew Williams, M. Balfas, Sheikh Iqbal Ahamed, Muhammad Arif, A. Kattan

{"title":"An approach to localization in crowded area","authors":"Md Osman Gani, G. Ahsan, Duc Do, Drew Williams, M. Balfas, Sheikh Iqbal Ahamed, Muhammad Arif, A. Kattan","doi":"10.1109/HealthCom.2016.7749446","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749446","url":null,"abstract":"Every year millions of people gather at Makkah, Saudi Arabia during the Hajj, an annual Islamic pilgrimage. The area at Makkah is small, and the number of attendees increases each year, which has created an ongoing and ever increasing problem of crowd management. In this paper, we present our integrated solution to the localization challenge of tracking specific users in a highly crowded area where GPS signal may be weak or even unavailable. Smartphone based Human Activity Recognition (HAR) uses various sensors that are built into the smartphone to sense a person's activity in real time. Applications that incorporate HAR can be used to track a person's movements and are very useful in areas such as health care. We also propose a group-tracking mechanism that can be applied when a group member appears to get lost. Other members of the group will be immediately notified and receive an estimation of the lost member's location. Using wireless signals (RSSI) and inertial sensor data, we have developed a mathematical model and a system for both outdoor and indoor localization. The experimental results show that the proposed system is able to detect locations of users with high accuracy, with an error of less than 2.5 meters. The system will be used by millions of users in Makkah, where there have been thousands of reported cases of pilgrims getting lost during the Hajj, however, it is scalable to accommodate any other crowded population.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174422","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

Building a spatial-temporal index to detect the global pattern deviations in daily activities of elderly subjects 建立一个时空指数来检测老年人日常活动的全球模式偏差

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749467

N. Noury, M. Berenguer, M. Bouzid, Jean-Baptiste Versini

引用次数: 2

Summarizing patient daily activities for clinical pathway mining 总结患者日常活动，挖掘临床路径

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749453

Xiao Xu, Tao Jin, Jianmin Wang

引用次数: 12

Electronic health records: Improvement to healthcare decision-making 电子健康记录:改善医疗保健决策

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749474

Hamzah Osop, T. Sahama

引用次数: 6

A framework for modularised wearable adaptive biofeedback devices 模块化可穿戴自适应生物反馈装置的框架

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749528

Yonghee Ahn, D. Jayalath, A. Oloyede

{"title":"A framework for modularised wearable adaptive biofeedback devices","authors":"Yonghee Ahn, D. Jayalath, A. Oloyede","doi":"10.1109/HealthCom.2016.7749528","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749528","url":null,"abstract":"The demand for assistive living technologies is rising rapidly due to the increasing ageing population around the world. Advancements in wearable device technologies have paved the way to patient-centred ubiquitous health monitoring at home. Despite the increasing availability of continuous patient monitoring by integrating various sensors and Body area networks (BAN), little work has focused on automated intervention at multiple levels. On the other hand, certain personal medical treatment devices such as insulin injectors and pneumatic compression therapy devices provide treatment without overall personal health monitoring. In this research, we propose a framework to enable continuous monitoring and control of a personal treatment device seamlessly. Proposed framework assimilates inertial sensor-based activity recognition, intelligent control algorithms, and BAN in a modularised hardware architecture. Consequently, the proposed system can monitor activities of daily living and provide automated intentions. The modularised hardware architecture facilitates the use of single sensing and controller platform for multiple treatment devices. We validate the proposed framework by implementing and testing a prototype automated compression therapy device.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340899","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

Constellation: A secure self-optimizing framework for genomic processing 星座:基因组处理的安全自优化框架

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749534

V. Bumgardner, V. Marek, Caylin D. Hickey, K. Nandakumar

引用次数: 4