智能医疗监测系统的深度学习和物联网分析综述

Sangeetha Yempally, S. K. Singh, S. Velliangiri
{"title":"智能医疗监测系统的深度学习和物联网分析综述","authors":"Sangeetha Yempally, S. K. Singh, S. Velliangiri","doi":"10.1108/ijius-02-2022-0019","DOIUrl":null,"url":null,"abstract":"PurposeSelecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning.Design/methodology/approachHealth Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector.FindingsIn addition, the detailed conversation and investigation are finished by techniques and development framework. Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning.Originality/valueThe gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.","PeriodicalId":42876,"journal":{"name":"International Journal of Intelligent Unmanned Systems","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analytical review on deep learning and IoT for smart healthcare monitoring system\",\"authors\":\"Sangeetha Yempally, S. K. Singh, S. Velliangiri\",\"doi\":\"10.1108/ijius-02-2022-0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeSelecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning.Design/methodology/approachHealth Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector.FindingsIn addition, the detailed conversation and investigation are finished by techniques and development framework. Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning.Originality/valueThe gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.\",\"PeriodicalId\":42876,\"journal\":{\"name\":\"International Journal of Intelligent Unmanned Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Intelligent Unmanned Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijius-02-2022-0019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Unmanned Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijius-02-2022-0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 5

摘要

目的针对特定问题选择和使用相同的健康监测设备是一项乏味的任务。本文旨在对40篇关于使用物联网(IoT)和深度学习的智能健康监测系统的研究论文进行全面综述。设计/方法/方法健康监测系统在医疗保健部门发挥着重要作用。使用物联网和深度学习的健康监测设备的开发和测试在医疗保健领域占据主导地位。此外,通过技术和开发框架完成了详细的对话和调查。作者已经确定了研究差距,并提出了物联网、边缘计算和深度学习的未来研究方向。原创性/价值对收集到的研究文章进行了审查,并讨论了当前研究论文面临的差距和问题。此外,基于各种研究差距,本评估提出了深度学习和物联网健康监测模型的主要未来范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analytical review on deep learning and IoT for smart healthcare monitoring system
PurposeSelecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning.Design/methodology/approachHealth Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector.FindingsIn addition, the detailed conversation and investigation are finished by techniques and development framework. Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning.Originality/valueThe gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.50
自引率
0.00%
发文量
21
期刊最新文献
Design of hexacopter and finite element analysis for material selection Towards a novel cyber physical control system framework: a deep learning driven use case Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris Communication via quad/hexa-copters during disasters Nonlinear optimal control for UAVs with tilting rotors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1