A. Martínez, J. Millet, J. Chorro, A. Cebrián, M. Arredondo, I. Garcia
{"title":"Medmap:一个强大的多通道ELG录音分析仪","authors":"A. Martínez, J. Millet, J. Chorro, A. Cebrián, M. Arredondo, I. Garcia","doi":"10.1109/IEMBS.2001.1017211","DOIUrl":null,"url":null,"abstract":"The study and analysis of multiple recording electrograms (ELG) in experimental models requires dedicated software for their processing. This software must be quick and efficient in manipulating the enormous amounts of recorded data. Furthermore, the software has to be easily extensible in order to introduce new work methods and analysis algorithms adapted to the needs of each research group. This has led us to develop a modular software package in which introduction of new functionalities will not require the development of a new program, resulting in considerable time savings. For development we chose MATLAB, an interactive program with high computing capabilities and powerful tools for graphic visualization. Being a standard platform, developed code can be easily modified and the functionality of any module can be optimised and/or altered at any time, allowing implementation of the latest scientific advances. This software has been conceived for many applications, although in this paper we focus our experience on the study of fibrillatory processes in experimental models where up to 256 electrograms have been recorded using a cardiac electrical system.","PeriodicalId":386546,"journal":{"name":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Medmap: a powerful multichannel ELG recordings analyzer\",\"authors\":\"A. Martínez, J. Millet, J. Chorro, A. Cebrián, M. Arredondo, I. Garcia\",\"doi\":\"10.1109/IEMBS.2001.1017211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study and analysis of multiple recording electrograms (ELG) in experimental models requires dedicated software for their processing. This software must be quick and efficient in manipulating the enormous amounts of recorded data. Furthermore, the software has to be easily extensible in order to introduce new work methods and analysis algorithms adapted to the needs of each research group. This has led us to develop a modular software package in which introduction of new functionalities will not require the development of a new program, resulting in considerable time savings. For development we chose MATLAB, an interactive program with high computing capabilities and powerful tools for graphic visualization. Being a standard platform, developed code can be easily modified and the functionality of any module can be optimised and/or altered at any time, allowing implementation of the latest scientific advances. This software has been conceived for many applications, although in this paper we focus our experience on the study of fibrillatory processes in experimental models where up to 256 electrograms have been recorded using a cardiac electrical system.\",\"PeriodicalId\":386546,\"journal\":{\"name\":\"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.2001.1017211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.2001.1017211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medmap: a powerful multichannel ELG recordings analyzer
The study and analysis of multiple recording electrograms (ELG) in experimental models requires dedicated software for their processing. This software must be quick and efficient in manipulating the enormous amounts of recorded data. Furthermore, the software has to be easily extensible in order to introduce new work methods and analysis algorithms adapted to the needs of each research group. This has led us to develop a modular software package in which introduction of new functionalities will not require the development of a new program, resulting in considerable time savings. For development we chose MATLAB, an interactive program with high computing capabilities and powerful tools for graphic visualization. Being a standard platform, developed code can be easily modified and the functionality of any module can be optimised and/or altered at any time, allowing implementation of the latest scientific advances. This software has been conceived for many applications, although in this paper we focus our experience on the study of fibrillatory processes in experimental models where up to 256 electrograms have been recorded using a cardiac electrical system.