{"title":"多参数健康状态评估","authors":"M. Kozlovszky","doi":"10.1109/IWOBI.2015.7160158","DOIUrl":null,"url":null,"abstract":"Recent small, ubiquitous and mobile sensor devices are capable to measure a large set of vital parameters. Organism's health status is correlated with the acquired information. We have established a dynamic health status model, which builds from the collected organism's data. The data collection is realized with a multiplatform data acquisition framework (DAQit), which collects multimodal sensor information remotely, provides visualization/alarming services for experts and forwards information towards to the data archive and dispatcher centers for further processing. The dynamic health status model and a mobile DAQ (mDAQ) system enable experts to provide better and more effective remote health status monitoring, large scale population screening, more effective prevention, and support services.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-parameter health state assessment\",\"authors\":\"M. Kozlovszky\",\"doi\":\"10.1109/IWOBI.2015.7160158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent small, ubiquitous and mobile sensor devices are capable to measure a large set of vital parameters. Organism's health status is correlated with the acquired information. We have established a dynamic health status model, which builds from the collected organism's data. The data collection is realized with a multiplatform data acquisition framework (DAQit), which collects multimodal sensor information remotely, provides visualization/alarming services for experts and forwards information towards to the data archive and dispatcher centers for further processing. The dynamic health status model and a mobile DAQ (mDAQ) system enable experts to provide better and more effective remote health status monitoring, large scale population screening, more effective prevention, and support services.\",\"PeriodicalId\":373170,\"journal\":{\"name\":\"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWOBI.2015.7160158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOBI.2015.7160158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent small, ubiquitous and mobile sensor devices are capable to measure a large set of vital parameters. Organism's health status is correlated with the acquired information. We have established a dynamic health status model, which builds from the collected organism's data. The data collection is realized with a multiplatform data acquisition framework (DAQit), which collects multimodal sensor information remotely, provides visualization/alarming services for experts and forwards information towards to the data archive and dispatcher centers for further processing. The dynamic health status model and a mobile DAQ (mDAQ) system enable experts to provide better and more effective remote health status monitoring, large scale population screening, more effective prevention, and support services.