{"title":"睡眠脑电图超声","authors":"C. Fernandes, D. Migotina, A. Rosa","doi":"10.1145/3106548.3106614","DOIUrl":null,"url":null,"abstract":"This paper introduces a new methodology for converting sleep Electroencephalogram (EEG) signals into sound. The main goal is to investigate the possibility of encoding sleep events into sequences of notes and breaks, generating musical sound that is consistent and audible, while allowing a global appraisal of sleep dynamics.","PeriodicalId":141342,"journal":{"name":"Proceedings of the 8th International Conference on Digital Arts","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sonification of Sleep EEG\",\"authors\":\"C. Fernandes, D. Migotina, A. Rosa\",\"doi\":\"10.1145/3106548.3106614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new methodology for converting sleep Electroencephalogram (EEG) signals into sound. The main goal is to investigate the possibility of encoding sleep events into sequences of notes and breaks, generating musical sound that is consistent and audible, while allowing a global appraisal of sleep dynamics.\",\"PeriodicalId\":141342,\"journal\":{\"name\":\"Proceedings of the 8th International Conference on Digital Arts\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th International Conference on Digital Arts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3106548.3106614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Digital Arts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3106548.3106614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces a new methodology for converting sleep Electroencephalogram (EEG) signals into sound. The main goal is to investigate the possibility of encoding sleep events into sequences of notes and breaks, generating musical sound that is consistent and audible, while allowing a global appraisal of sleep dynamics.