Isaac Machorro-Cano, J. O. Olmedo-Aguirre, G. Alor-Hernández, L. Rodríguez-Mazahua, Laura Nely Sánchez-Morales, Nancy Pérez-Castro
{"title":"Cloud-Based Platforms for Health Monitoring: A Review","authors":"Isaac Machorro-Cano, J. O. Olmedo-Aguirre, G. Alor-Hernández, L. Rodríguez-Mazahua, Laura Nely Sánchez-Morales, Nancy Pérez-Castro","doi":"10.3390/informatics11010002","DOIUrl":null,"url":null,"abstract":"Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in constant development and, so far, most of the data they store is entered manually by users. However, more and better wearable devices are being developed that can synchronize with these platforms to feed the information automatically. Another aspect that highlights the link between wearable devices and cloud-based health platforms is the improvement in which the symptomatology and/or physical status information of users can be stored and syn-chronized in real-time, 24 h a day, in health platforms, which in turn enables the possibility of synchronizing these platforms with specialized medical software to promptly detect important variations in user symptoms. This is opening opportunities to use these platforms as support for monitoring disease symptoms and, in general, for monitoring the health of users. In this work, the characteristics and possibilities of use of four popular platforms currently available in the market are explored, which are Apple Health, Google Fit, Samsung Health, and Fitbit.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"5 3","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/informatics11010002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in constant development and, so far, most of the data they store is entered manually by users. However, more and better wearable devices are being developed that can synchronize with these platforms to feed the information automatically. Another aspect that highlights the link between wearable devices and cloud-based health platforms is the improvement in which the symptomatology and/or physical status information of users can be stored and syn-chronized in real-time, 24 h a day, in health platforms, which in turn enables the possibility of synchronizing these platforms with specialized medical software to promptly detect important variations in user symptoms. This is opening opportunities to use these platforms as support for monitoring disease symptoms and, in general, for monitoring the health of users. In this work, the characteristics and possibilities of use of four popular platforms currently available in the market are explored, which are Apple Health, Google Fit, Samsung Health, and Fitbit.
多年来,云平台越来越受欢迎,因为它们可以用于多种用途,从同步联系人信息到存储和管理用户健身数据。这些平台仍在不断开发中,到目前为止,它们存储的大部分数据都是由用户手动输入的。不过,目前正在开发更多更好的可穿戴设备,它们可以与这些平台同步,自动提供信息。可穿戴设备与基于云的健康平台之间的另一个联系是,用户的症状和/或身体状况信息可以每天 24 小时实时存储和同步到健康平台中,从而使这些平台可以与专业医疗软件同步,及时发现用户症状的重要变化。这就为利用这些平台作为监测疾病症状和监测用户健康状况提供了机会。在这项工作中,我们探讨了目前市场上流行的四个平台的特点和使用可能性,这四个平台是 Apple Health、Google Fit、Samsung Health 和 Fitbit。