A. Bizzego, Marco Mina, Calogero Zarbo, G. Esposito, Cesare Furlanello
{"title":"Physiolyze:一个基于星系的web服务,用于在线处理心率变异性分析","authors":"A. Bizzego, Marco Mina, Calogero Zarbo, G. Esposito, Cesare Furlanello","doi":"10.1109/ESGCO.2014.6847537","DOIUrl":null,"url":null,"abstract":"We developed Physiolyze, a Galaxy-based web framework to process Heart Rate Variability (HRV) data. Our framework includes the pyHRV library, an up-to-date collection of Python methods to calculate HRV indexes. Physiolyze can be used both through a web interface and a web service component for a fast and configurable embedding of HRV analysis in complex processing pipelines. The framework also provides support for online processing of heart rate streaming data.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Physiolyze: A Galaxy-based web service for Heart Rate Variability analysis with online processing\",\"authors\":\"A. Bizzego, Marco Mina, Calogero Zarbo, G. Esposito, Cesare Furlanello\",\"doi\":\"10.1109/ESGCO.2014.6847537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We developed Physiolyze, a Galaxy-based web framework to process Heart Rate Variability (HRV) data. Our framework includes the pyHRV library, an up-to-date collection of Python methods to calculate HRV indexes. Physiolyze can be used both through a web interface and a web service component for a fast and configurable embedding of HRV analysis in complex processing pipelines. The framework also provides support for online processing of heart rate streaming data.\",\"PeriodicalId\":385389,\"journal\":{\"name\":\"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESGCO.2014.6847537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESGCO.2014.6847537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Physiolyze: A Galaxy-based web service for Heart Rate Variability analysis with online processing
We developed Physiolyze, a Galaxy-based web framework to process Heart Rate Variability (HRV) data. Our framework includes the pyHRV library, an up-to-date collection of Python methods to calculate HRV indexes. Physiolyze can be used both through a web interface and a web service component for a fast and configurable embedding of HRV analysis in complex processing pipelines. The framework also provides support for online processing of heart rate streaming data.