{"title":"生理数据的移动分布式处理","authors":"James Meneghello, Kevin Lee, K. Gilleade","doi":"10.1109/NESEA.2012.6474031","DOIUrl":null,"url":null,"abstract":"Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons. The devices used to collect this data have become increasingly portable, but deriving useful metrics from such data can often take significant processing - a commodity not always available in mobile environments. This paper presents and evaluates a system designed to easily process physiological signals in mobile environments by utilising commonly-available smartphone hardware to collaboratively transform collected data.","PeriodicalId":245642,"journal":{"name":"2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mobile distributed processing of physiological data\",\"authors\":\"James Meneghello, Kevin Lee, K. Gilleade\",\"doi\":\"10.1109/NESEA.2012.6474031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons. The devices used to collect this data have become increasingly portable, but deriving useful metrics from such data can often take significant processing - a commodity not always available in mobile environments. This paper presents and evaluates a system designed to easily process physiological signals in mobile environments by utilising commonly-available smartphone hardware to collaboratively transform collected data.\",\"PeriodicalId\":245642,\"journal\":{\"name\":\"2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NESEA.2012.6474031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NESEA.2012.6474031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile distributed processing of physiological data
Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons. The devices used to collect this data have become increasingly portable, but deriving useful metrics from such data can often take significant processing - a commodity not always available in mobile environments. This paper presents and evaluates a system designed to easily process physiological signals in mobile environments by utilising commonly-available smartphone hardware to collaboratively transform collected data.