Sara Balderas-Díaz, Kawtar Benghazi Akhlaki, J. L. Garrido, Gabriel Guerrero-Contreras, E. Miró
{"title":"A service-based platform for monitoring and diagnosis of patients with SAHS symptoms","authors":"Sara Balderas-Díaz, Kawtar Benghazi Akhlaki, J. L. Garrido, Gabriel Guerrero-Contreras, E. Miró","doi":"10.4108/icst.pervasivehealth.2014.255365","DOIUrl":null,"url":null,"abstract":"The Sleep Apnea Hypopnea Syndrome (SAHS) is a symptomatology that affects between 2-5% of world populations. This syndrome presents serious consequences in daily life of the people that suffer it and its detection requires an analysis in a hospital with specialized professionals and medical equipment. Because of this, long waiting lists exist. In this paper a platform for remotely SAHS monitoring and diagnosis is presented, which aims to reduce waiting lists and provide an alternative to current systems of diagnosis in a more flexible way. The proposal mainly consists of a platform based on the Service Architecture Oriented (SOA) approach and a modular design has been followed in order to facilitate an incremental number of patients (scalability) and add new functionality (extensibility).","PeriodicalId":120856,"journal":{"name":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/icst.pervasivehealth.2014.255365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The Sleep Apnea Hypopnea Syndrome (SAHS) is a symptomatology that affects between 2-5% of world populations. This syndrome presents serious consequences in daily life of the people that suffer it and its detection requires an analysis in a hospital with specialized professionals and medical equipment. Because of this, long waiting lists exist. In this paper a platform for remotely SAHS monitoring and diagnosis is presented, which aims to reduce waiting lists and provide an alternative to current systems of diagnosis in a more flexible way. The proposal mainly consists of a platform based on the Service Architecture Oriented (SOA) approach and a modular design has been followed in order to facilitate an incremental number of patients (scalability) and add new functionality (extensibility).