IoT based Heart Rate Measurement and Analysis

Priyanka kumari Bhansali, Dilendra Hiran
{"title":"IoT based Heart Rate Measurement and Analysis","authors":"Priyanka kumari Bhansali, Dilendra Hiran","doi":"10.1109/I-SMAC49090.2020.9243438","DOIUrl":null,"url":null,"abstract":"Generally, the human body provides information about its health regularly. However, data is available throughout devices that measure or detect amounts and variations in particular areas of the body. To improve the health of patients, health professionals use the principles of medical decision-making in diagnosis and management. Globally, obesity and Cardio diseases impact the quality of life significantly, especially among the elderly. In addition to sensor design and IoT, the emerging technological revolution is expected to offer new applications in internal/external health monitoring that can make a significant contribution to human health and wellbeing. During this decade, technological advances have overgrown in many fields of research. IoT is a recent development that has significant impacts, including sports, education, business, and the environment, in all aspects of our lives. In healthcare, IoT has a great future in remote management of patients. The accuracy of early diagnosis and treatment is aimed to improve through the recognition of early diagnosis markers and the actual rate of screening. In a new sense, the progressive system of the heart, the modifications to diagnose it, and effective treatment to slow it down.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC49090.2020.9243438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Generally, the human body provides information about its health regularly. However, data is available throughout devices that measure or detect amounts and variations in particular areas of the body. To improve the health of patients, health professionals use the principles of medical decision-making in diagnosis and management. Globally, obesity and Cardio diseases impact the quality of life significantly, especially among the elderly. In addition to sensor design and IoT, the emerging technological revolution is expected to offer new applications in internal/external health monitoring that can make a significant contribution to human health and wellbeing. During this decade, technological advances have overgrown in many fields of research. IoT is a recent development that has significant impacts, including sports, education, business, and the environment, in all aspects of our lives. In healthcare, IoT has a great future in remote management of patients. The accuracy of early diagnosis and treatment is aimed to improve through the recognition of early diagnosis markers and the actual rate of screening. In a new sense, the progressive system of the heart, the modifications to diagnose it, and effective treatment to slow it down.
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
基于物联网的心率测量和分析
一般来说,人体会定期提供健康信息。然而,通过测量或检测身体特定部位的数量和变化的设备可以获得数据。为了改善患者的健康,卫生专业人员在诊断和管理中使用医疗决策的原则。在全球范围内,肥胖和心血管疾病严重影响生活质量,尤其是老年人。除了传感器设计和物联网之外,新兴的技术革命预计将在内部/外部健康监测方面提供新的应用,可以为人类健康和福祉做出重大贡献。在这十年中,技术进步在许多研究领域都得到了迅猛发展。物联网是最近的一项发展,对我们生活的各个方面都产生了重大影响,包括体育、教育、商业和环境。在医疗保健领域,物联网在患者远程管理方面具有广阔的前景。通过对早期诊断标志物的识别和实际的筛查率,提高早期诊断和治疗的准确性。在新的意义上,心脏的进步系统,诊断它的修改,以及有效的治疗来减缓它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study of Extractive Text Summarizer Using The Elmo Embedding Design of Cost-effective Wearable Sensors with integrated Health Monitoring System Comparison of Tuplet of Techniques for Facial Emotion Detection Enhancement of Efficiency of Military Cloud Computing using Lanchester Model 5G Technologies and Tourism Environmental Carrying Capacity based on Planning Optimization with Remote Sensing Systems
×
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