Tiago Marçal, Bruno Antunes, R. Ferreira, C. Correia, Diana Pires, A. Matos, Joao Nuno Simoes
{"title":"用于临床出院和再入院标准制定和门诊使用的无线多生理信号监测仪","authors":"Tiago Marçal, Bruno Antunes, R. Ferreira, C. Correia, Diana Pires, A. Matos, Joao Nuno Simoes","doi":"10.1109/ENBENG.2015.7088846","DOIUrl":null,"url":null,"abstract":"A monitoring system measuring 4 physiological variables (respiratory and cardiac frequencies, skin temperature and acceleration) has been developed and tested. Details on the electronics and software are discussed with emphasis on energetic autonomy. The general rules for selecting adequate sampling rates for each variable are discussed, considering its nature and the amount of storage data that it implies. The three levels of software that hat to be written and articulated: one that resides in the microcontroller, another one at the smartphone and a last one for data analysis, also are discussed. Some aspects of data analysis software that is meant to provide the medical staff with readily intelligible information, are also discussed. Results, collected in a small population of volunteers are shown and commented.","PeriodicalId":285567,"journal":{"name":"2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wireless multi-physiological signal monitor for clinical discharge and readmissions criteria setting and ambulatory usage\",\"authors\":\"Tiago Marçal, Bruno Antunes, R. Ferreira, C. Correia, Diana Pires, A. Matos, Joao Nuno Simoes\",\"doi\":\"10.1109/ENBENG.2015.7088846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A monitoring system measuring 4 physiological variables (respiratory and cardiac frequencies, skin temperature and acceleration) has been developed and tested. Details on the electronics and software are discussed with emphasis on energetic autonomy. The general rules for selecting adequate sampling rates for each variable are discussed, considering its nature and the amount of storage data that it implies. The three levels of software that hat to be written and articulated: one that resides in the microcontroller, another one at the smartphone and a last one for data analysis, also are discussed. Some aspects of data analysis software that is meant to provide the medical staff with readily intelligible information, are also discussed. Results, collected in a small population of volunteers are shown and commented.\",\"PeriodicalId\":285567,\"journal\":{\"name\":\"2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENBENG.2015.7088846\",\"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 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENBENG.2015.7088846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless multi-physiological signal monitor for clinical discharge and readmissions criteria setting and ambulatory usage
A monitoring system measuring 4 physiological variables (respiratory and cardiac frequencies, skin temperature and acceleration) has been developed and tested. Details on the electronics and software are discussed with emphasis on energetic autonomy. The general rules for selecting adequate sampling rates for each variable are discussed, considering its nature and the amount of storage data that it implies. The three levels of software that hat to be written and articulated: one that resides in the microcontroller, another one at the smartphone and a last one for data analysis, also are discussed. Some aspects of data analysis software that is meant to provide the medical staff with readily intelligible information, are also discussed. Results, collected in a small population of volunteers are shown and commented.