2011 IEEE 13th International Conference on e-Health Networking, Applications and Services最新文献_第6页

Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system 劫持胰岛素泵:糖尿病治疗系统的安全攻击和防御

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026732

Chunxiao Li, A. Raghunathan, N. Jha

{"title":"Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system","authors":"Chunxiao Li, A. Raghunathan, N. Jha","doi":"10.1109/HEALTH.2011.6026732","DOIUrl":"https://doi.org/10.1109/HEALTH.2011.6026732","url":null,"abstract":"Wearable and implantable medical devices are being increasingly deployed to improve diagnosis, monitoring, and therapy for a range of medical conditions. Unlike other classes of electronics and computing systems, security attacks on these devices have extreme consequences and must, therefore, be analyzed and prevented with utmost effort. Yet, very little work exists on this important topic and the security vulnerabilities of such systems are not well understood. We demonstrate security attacks that we have implemented in the laboratory on a popular glucose monitoring and insulin delivery system available on the market, and also propose defenses against such attacks. Continuous glucose monitoring and insulin delivery systems are becoming increasingly popular among patients with diabetes. These systems utilize wireless communication links, which are frequently utilized as a portal to launch security attacks. Our study shows that both passive attacks (eavesdropping of the wireless communication) and active attacks (impersonation and control of the medical devices to alter the intended therapy) can be successfully launched using public-domain information and widely available off-the-shelf hardware. The proposed attacks can compromise both the privacy and safety of patients. We propose two possible defenses against such attacks. One is based on rolling-code cryptographic protocols, and the other is based on body-coupled communication. Our security analysis shows that the proposed defenses have the potential to mitigate the security risks associated with personal healthcare systems.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910353","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: 311

Using semantic search to reduce cognitive load in an electronic health record 使用语义搜索减少电子健康记录中的认知负荷

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026739

A. Tawfik, K. Kochendorfer, D. Saparova, Said Al Ghenaimi, Joi L. Moore

引用次数: 12

Exploring the user requirements for wearable healthcare systems 探索用户对可穿戴医疗系统的需求

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026790

Yao Meng, Heung-Kook Choi, Hee-Cheol Kim

引用次数: 21

Semantic models for ranking medical images using Dirichlet non-parametric mixture models 基于Dirichlet非参数混合模型的医学图像排序语义模型

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026776

Adrian S. Barb, C. Shyu

{"title":"Semantic models for ranking medical images using Dirichlet non-parametric mixture models","authors":"Adrian S. Barb, C. Shyu","doi":"10.1109/HEALTH.2011.6026776","DOIUrl":"https://doi.org/10.1109/HEALTH.2011.6026776","url":null,"abstract":"With recent advances in diagnostic medical imaging, huge quantities of medical images are produced and stored in digital image repositories. While these repositories are difficult to be analyzed manually by medical experts, they can be evaluated using computer-based methods to enrich the process of decision making. For example, query by image methods can be used by medical experts for differential diagnosis by displaying previously evaluated cases that contain similar visual patterns. Also, less experienced practitioners can benefit from query-by-semantic methods in training processes especially for difficult-to-interpret cases with multiple pathologies. In this article we develop a methodology for ranking medical images based on Dirichlet process nonparametric distributions. Our approach uses natural groupings of images in a generated feature space to evaluate associative semantic mappings. Relevant semantic mappings are then used to generate additive computer models of semantic understanding of visual patterns found in images. We evaluate the performance of our method using mean average precision and precision-recall charts.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504665","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

Pa2Pa: Patient to patient communication for emergency response support Pa2Pa:患者对患者的应急响应支持沟通

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026755

Abdelmajid Khelil

{"title":"Pa2Pa: Patient to patient communication for emergency response support","authors":"Abdelmajid Khelil","doi":"10.1109/HEALTH.2011.6026755","DOIUrl":"https://doi.org/10.1109/HEALTH.2011.6026755","url":null,"abstract":"Usually, first responders estimate the medical needs in mass casualties scenarios from subjective observations gathered through uncoordinated emergency calls from non-experts in the incident location. Accordingly, they command specific teams to move to the location. At arrival the teams make local measurements, based on which they rank the priorities of patients, and give local treatments or decide to transport them to a specific hospital. Nevertheless the advances in the measurement of vital signs, still the human estimation may be error prone and not-in-time since usually the ratio of first responders to casualties can reach one to hundreds or even thousands in some cases. In this paper, we present a novel method to rank the urgency level of mass casualties through a localized ad-hoc sensor network and localized Real-Time (RT) sensor data processing. Our approach is based on plain patient to patient communication without relying on the existence of first responders nor a communication infrastructure. This allows for the first time to classify, rank and schedule casualties without experts in the loop. The casualties, the responders and the administration gains are very compelling.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126290613","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: 6

CA-MAC: A Hybrid context-aware MAC protocol for wireless body area networks CA-MAC:用于无线体域网络的混合上下文感知MAC协议

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026748

Bin Liu, Zhisheng Yan, C. Chen

引用次数: 46

Remote health, activity, and asset monitoring with wireless sensor networks 使用无线传感器网络进行远程运行状况、活动和资产监控

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026796

M. Marzencki, P. Lin, T. Cho, J. Guo, B. Ngai, B. Kaminska, Simon Fraser

引用次数: 13

Evolution of an eldercare technology system to monitor motion and detect falls 老年人护理技术系统的发展，以监测运动和检测跌倒

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026733

H. Tyrer, M. Aud, R. Neelgund, U. Shriniwar, Krishna Kishor Devarakonda

{"title":"Evolution of an eldercare technology system to monitor motion and detect falls","authors":"H. Tyrer, M. Aud, R. Neelgund, U. Shriniwar, Krishna Kishor Devarakonda","doi":"10.1109/HEALTH.2011.6026733","DOIUrl":"https://doi.org/10.1109/HEALTH.2011.6026733","url":null,"abstract":"Falls are a major cause of injuries in the elderly, and in some cases, these injuries may be fatal. We are developing a system to monitor the elderly and detect falls. We used a novel technique of signal scavenging to detect presence of the person. Aluminum foil sensors on two faux floor, one sized 1m × 1m (3feet × 3feet) and the other 2.3m × 1m (7feet × 3feet) provided a signal when activated by steeping on the foil. The noisy sensor signal was conditioned and converted into digital format, the digital signal was interfaced to a micro-controller and displayed on a PC. Graphical analysis with ROC space and personal experience with utilization of the faux floor system gave us confidence to develop a full size floor, 3.6m × 3.6m (12feet × 12feet). The results obtained on both floor showed a high degree of sensitivity, with low false positive and false negative rates. Observed problems like cross-talk, noise interference and abrupt output behavior of the sensor system were avoided with careful manufacturing of the flooring. With the development of the full floor, we can create a prototype with high reliability, high accuracy to detect motion, and can be used for further research.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132965482","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 side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy 肺癌、结直肠癌和乳腺癌化疗患者的副作用映射模型

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026777

T. Mazzocco, A. Hussain

{"title":"A side-effects mapping model in patients with lung, colorectal and breast cancer receiving chemotherapy","authors":"T. Mazzocco, A. Hussain","doi":"10.1109/HEALTH.2011.6026777","DOIUrl":"https://doi.org/10.1109/HEALTH.2011.6026777","url":null,"abstract":"Cancer treatments are now more effective than ever and, as a consequence, cancer is becoming a chronic disease. Chemotherapy is a frequently used treatment in people with cancer and it can cause a number of side-effects which if not properly managed could have a negative impact on the patients' quality of life. In this study, a sample of 56 patients receiving chemotherapy treatment for breast, colorectal and lung cancer is considered; each experienced side-effect is recorded during four consecutive treatment cycles (each lasting 14 days). Five of the most frequent side-effects (fatigue, nausea, mucositis, hand and foot sore, diarrhoea) are selected to build a comprehensive model which predicts the probability of experiencing a certain symptom on a specified day of each cycle of therapy. The computed accuracy of results shows that the newly proposed model has an enhanced predictive power compared to a state-of-the-art approach. The information gained from this study will help medical and nursing staff caring for such patients to more accurately predict the side-effects that patients will experience and therefore select appropriate help to minimise, whenever possible, the influence of those symptoms.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122170635","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

Personalized message emission in a mobile application for supporting therapeutic adherence 用于支持治疗依从性的移动应用程序中的个性化消息发射

2011 IEEE 13th International Conference on e-Health Networking, Applications and Services Pub Date : 2011-06-13 DOI: 10.1109/HEALTH.2011.6026734

J. A. Uribe, Jhon F. Duitama, Natalia Gaviria Gómez

引用次数: 10