2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)最新文献_第10页

Comparison of fetal phonocardiography de-noising by wavelet transform and the FIR filter 小波变换与FIR滤波胎儿心音降噪的比较

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531111

René Jaros, R. Martínek, R. Kahankova, J. Vanus, M. Fajkus, J. Nedoma

引用次数: 4

Examination and Optimization of the Fetal Heart Rate Monitor : Evaluation of the effect influencing the measuring system of the Fetal Heart Rate Monitor 胎儿心率监护仪的检测与优化:影响胎儿心率监护仪测量系统的效果评价

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531168

J. Kolarik, L. Soustek, R. Martínek

引用次数: 2

A Health Monitoring Application to Support Informal Caregivers of People with Cognitive Impairment 一个健康监测应用，以支持有认知障碍的人的非正式照顾者

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531147

S. Lentelink, Marit Dekker, M. Evers, B. V. Schooten, H. Hermens, M. Tabak

引用次数: 0

Evaluation of Movement Deficiencies in Patients with Vestibular Disorders using Motion Analysis 用运动分析评价前庭功能障碍患者的运动缺陷

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531155

J. Majerník, M. Molcan

引用次数: 1

Hardware / Software Architecture for Services in the Hearing Aid Industry 助听器行业服务的硬件/软件架构

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531138

Benjamin Cauchi, M. Eichelberg, Andreas Hüwel, K. Adiloglu, H. Richter, Marei Typlt

引用次数: 2

DESIREE - a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer DESIREE -一个基于网络的软件生态系统，用于原发性乳腺癌的个性化、协作和多学科管理

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531099

N. Larburu, Naiara Muro, Mónica Arrúe, Roberto Álvarez, Jon Kerexeta

{"title":"DESIREE - a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer","authors":"N. Larburu, Naiara Muro, Mónica Arrúe, Roberto Álvarez, Jon Kerexeta","doi":"10.1109/HealthCom.2018.8531099","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531099","url":null,"abstract":"Breast cancer is the most common cancer in women worldwide, with around 1.7 million new cases every year, and it is a complex disease. Each case is usually discussed in multidisciplinary teams or committees, called breast units. They are composed by oncologists, surgeons, psychologists and other specialist, and they use to have very limited time, around 3 to 10 minutes per patient, to make a treatment decision. Some cases may be quite \"easy\", but 10-20% of the cases are not so clear - what we called \"grey areas\", and they may not be supported by clinical guidelines, which are the standards used by clinicians to make treatment decisions. Therefore, we need tools to support clinicians in their decision making process. For that DESIREE, the system presented in this demo, is composed by three main components: (i) an image based breast and tumour characterization tool, (ii) a predictive model after breast conservative therapy and radio-biological model, and (iii) a clinical decision support system with three main components: a guideline based CDSS, which implements various international and local guidelines; a similarity based CDSS, where its possible to explore given treatments to closest patients, and the most significant variables they share with the patient to treat; and the experience based CDSS, which processes all information from previous cases and generates new knowledge, augmenting the guidelines. All these are supported by DESIMS (i.e. DESiree Information Management System), a Security and Access Control module and an image system for image and models visualization.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123208538","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

Healthcare professionals’ attitudes towards remote patient monitoring through sensor networks 医疗保健专业人员对通过传感器网络远程监测患者的态度

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531090

Adelina Basholli, T. Lagkas, P. Bath, G. Eleftherakis

{"title":"Healthcare professionals’ attitudes towards remote patient monitoring through sensor networks","authors":"Adelina Basholli, T. Lagkas, P. Bath, G. Eleftherakis","doi":"10.1109/HealthCom.2018.8531090","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531090","url":null,"abstract":"Sensor-based networks have been proposed as a method for the continuous and remote monitoring of patients with chronic illness. Hence, healthcare professionals need to read and provide feedback on the gathered sensor data which represent patient’s vital signs. This qualitative study examined healthcare professionals’ attitudes towards the application of remote patient monitoring through sensor networks in developing regions using semi-structured interviews. Thematic analysis of the interview data revealed that healthcare professionals have experience with digital technologies, moreover, they are willing to use other more advanced technologies that are, wireless, accurate and enable remote and real-time monitoring of patients. According to the healthcare professionals, the benefits of sensor-based networks are: recording patient’s vital signs for longer periods of time; facilitating clinical decision-making; and helping them in providing better treatment which will have a positive impact in the patient’s life. This study confirms that trainings provided to medical personnel before the application of the digital platforms in healthcare helped them to easily adapt these technologies. Furthermore, it did not appear that age was a problem to use digital monitoring technologies in healthcare. Nevertheless, healthcare professionals confirmed that possible limitations for providing distance-based monitoring in developing regions and giving feedback is related to patient’s education and maturity to obey to doctor’s suggestions, doctor’s commitments and available time and the financial aspect of communicating with a patient at a distance.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128001268","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

MARCIA: Applied Clinical Record Management : Eletronic Health Record Applied with EHRServer 应用临床记录管理:电子健康记录与EHRServer的应用

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531096

Fabio Gomes, João Paiva, Arthur Bezerra, César Moura, Mauro Oliveira, O. Andrade

{"title":"MARCIA: Applied Clinical Record Management : Eletronic Health Record Applied with EHRServer","authors":"Fabio Gomes, João Paiva, Arthur Bezerra, César Moura, Mauro Oliveira, O. Andrade","doi":"10.1109/HealthCom.2018.8531096","DOIUrl":"https://doi.org/10.1109/HealthCom.2018.8531096","url":null,"abstract":"The quality of services provided to patients in the health area is directly related to the quality of clinical information. In addition, this information must be consistent, secure and available to health professionals, even though health data is usually distributed across heterogeneous systems. The Electronic Patient Record (EPR) was proposed and applied to minimize integration problems through the construction of health information systems. This work proposes a methodology for the development of interoperable and flexible systems, using the EHRServer framework of the OpenEHR standard. As a case study, this methodology has been applied in Aracati/CE since March / 2017, in the context of the Chikungunya disease. The methodology is supported by a system that implements a set of OpenEHR archetypes representing the clinical treatment of Chikungunya. The system was tested in a Basic Health Unit. The archetypes and the MARCIA Templates were made available to the Clinical Knowledge Manager (CKM), the largest online repository of archetypes on the Web.","PeriodicalId":232709,"journal":{"name":"2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131375843","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

Making Sense of Data : Translating complexity for improved chronic pain management 解读数据:将复杂性转化为改善慢性疼痛管理

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531162

L. Hepburn, E. Jaatun

引用次数: 2

Monitoring of environmental variables in rooms of the Department of Cybernetics and Biomedical Engineering 控制论和生物医学工程系房间环境变量的监测

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2018-09-01 DOI: 10.1109/HealthCom.2018.8531133

J. Velická, M. Pies, R. Hájovský

引用次数: 2