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

Application of recommender system methods for therapy decision support 推荐系统方法在治疗决策支持中的应用

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749495

F. Gräßer, H. Malberg, S. Zaunseder, Stefanie Beckert, D. Küster, Jochen Schmitt, S. Abraham

引用次数: 13

Adaption of medical information system's e-learning extension to a simple suggestion tool 将医疗信息系统的电子学习扩展到一个简单的建议工具

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749473

P. Rajković, D. Jankovic, A. Milenković

引用次数: 1

An innovative WebRTC solution for e-Health services 为电子医疗服务提供创新的WebRTC解决方案

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749444

P. Pierleoni, Luca Pernini, Lorenzo Palma, Alberto Belli, Simone Valenti, Lorenzo Maurizi, Loris Sabbatini, A. Marroni

{"title":"An innovative WebRTC solution for e-Health services","authors":"P. Pierleoni, Luca Pernini, Lorenzo Palma, Alberto Belli, Simone Valenti, Lorenzo Maurizi, Loris Sabbatini, A. Marroni","doi":"10.1109/HealthCom.2016.7749444","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749444","url":null,"abstract":"Solutions and services for e-Health and telemedicine are constantly spreading and becoming increasingly important in the health area thanks to last innovations in electronics, informatics and telecommunications. This work proposes an innovative service for the e-Health oriented to the maximum ease of use and to the sharing of vital signs. The proposal consists in a tele-counseling service based on the WebRTC technology that allows any person residing remotely from medical staff or hospital to directly interact with them. Our solution provides all the common functions of the WebRTC, such as real-time video and audio streams, instant messaging, and file sharing with the only requirement of a traditional web browser. Beyond that, we implemented the real-time transmission and visualization of vital signs and parameters acquired by biomedical sensors connected to the patient's personal device through the RTCDataChannel. Currently our solution involves the installation of a browser extension, but this operation is very simple and may be avoided when WebRTC APIs and browsers will support media streams coming from sensors at the same way as audio and video streams. Our solution demonstrates how web technologies can be applied in the health sector providing very effective services to patients and users which for various reasons have difficulties to travel to hospitals in order to have medical support.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"51 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":"126799422","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: 20

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