{"title":"Ontology-based pervasive M2M healthcare environment","authors":"Soraya Ait Chellouche, M. Chalouf, Tayeb Lemlouma","doi":"10.1109/UBI-HEALTHTECH.2013.6708062","DOIUrl":"https://doi.org/10.1109/UBI-HEALTHTECH.2013.6708062","url":null,"abstract":"The ageing population that becomes a predominant demographic feature in most countries raises new challenges in healthcare. Over the past years, the focus was shifted from institutional-based healthcare to automatic healthcare systems by leveraging the sensing technologies and the communication infrastructures. The aim is to provide the elderly and people with physical and/or cognitive impairment with intelligent and assistive health services in a pervasive, timely and cost effective manner. In this paper we propose an integrated healthcare framework that enables pervasive and personalized health services. The proposed framework is based on a M2M infrastructure towards high scalability and easy service deployment. In addition, using ontology as information model provides deep semantic and expressiveness in the domain knowledge enabling thus more interoperability and service personalization and automation through logic-based reasoning.","PeriodicalId":150578,"journal":{"name":"2013 First International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863967","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}
{"title":"A new power saving algorithm for the transmission of compressed medical video stream","authors":"C. Duanmu, Hongtao Chen","doi":"10.1109/UBI-HEALTHTECH.2013.6708053","DOIUrl":"https://doi.org/10.1109/UBI-HEALTHTECH.2013.6708053","url":null,"abstract":"In the compressed medical video stream, different kinds of bits have different influences on the quality of the reconstructed video. Traditional unequal error protection algorithms for the transmission of compressed video have the shortcoming that they treat each video sequence and each macro-block similarly and do not consider their differences. Moreover, they general classify the compressed video into the classes of the header information and the motion vector information, the DC information, and the AC information, and provide different error protection for these classes and use the same code for the same class. However, the bits inside the same class have different importance and the bits of the same class for different video sequence will have much different importance. Thus, in this paper, a new algorithm is proposed which treat each bit differently and use different unequal error protection for each bit. Thus, it can offer better protection for the compressed video and use the transmission power wisely. Under the same distortion requirement, the proposed algorithm can offer a significant power savings.","PeriodicalId":150578,"journal":{"name":"2013 First International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134350533","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}
{"title":"Palm lines extraction using PCNN and image data field","authors":"Yanxia Wang, Jianmin Zhao, Guanghua Sun, Hui Wang, Xin Chen, Dewu Xu","doi":"10.1109/UBI-HEALTHTECH.2013.6708065","DOIUrl":"https://doi.org/10.1109/UBI-HEALTHTECH.2013.6708065","url":null,"abstract":"In this paper, an approach of using image data field and pulse-coupled neuron network (PCNN) to fast extract palm lines is proposed for online palmprint images. Each pixel in an enhanced palmprint image is seen as a particle with the mass, which produces a data field. The data field is introduced to map the enhanced palmprint image from grayscale space to the corresponding potential space. By selecting the relative mass, a relative image data field is obtained. Then the enhanced palmprint image and its relative data field are input into two PCNNs with different parameters, separately. Their outputs are two binary images, and each has complementary advantages and disadvantages. In order to extract palm lines, a non-connectedness value (NCV) is defined and used to fusion the two binary images. At last, the morphological operators are used to remove noise and isolated points. The experimental results indicate that the speed of palm-line extraction promotes greatly and it can satisfy the practical requirements.","PeriodicalId":150578,"journal":{"name":"2013 First International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131155798","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}