{"title":"利用可穿戴设备的数据改善睡眠","authors":"Juan F. Arias","doi":"10.1109/ICDH55609.2022.00014","DOIUrl":null,"url":null,"abstract":"This paper presents an analysis of how using data collected from wearables can lead to improvements in our health. Correlating data from different sources, can be used to identify the factors that have negative as well as positive impact on our health, allowing us to make changes accordingly. The ultimate goal is to be able to create personalized recommendations about actions to take to improve sleep.","PeriodicalId":120923,"journal":{"name":"2022 IEEE International Conference on Digital Health (ICDH)","volume":"404 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using Data from Wearables for Better Sleep\",\"authors\":\"Juan F. Arias\",\"doi\":\"10.1109/ICDH55609.2022.00014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an analysis of how using data collected from wearables can lead to improvements in our health. Correlating data from different sources, can be used to identify the factors that have negative as well as positive impact on our health, allowing us to make changes accordingly. The ultimate goal is to be able to create personalized recommendations about actions to take to improve sleep.\",\"PeriodicalId\":120923,\"journal\":{\"name\":\"2022 IEEE International Conference on Digital Health (ICDH)\",\"volume\":\"404 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Digital Health (ICDH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDH55609.2022.00014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Digital Health (ICDH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH55609.2022.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an analysis of how using data collected from wearables can lead to improvements in our health. Correlating data from different sources, can be used to identify the factors that have negative as well as positive impact on our health, allowing us to make changes accordingly. The ultimate goal is to be able to create personalized recommendations about actions to take to improve sleep.
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