Detection and Security in Falls with IoT Server

C. Kavitha, N. Sridevi, D. Dhivagar
{"title":"Detection and Security in Falls with IoT Server","authors":"C. Kavitha, N. Sridevi, D. Dhivagar","doi":"10.1109/ICAIS56108.2023.10073845","DOIUrl":null,"url":null,"abstract":"Heart rate (HR) and Heart rate variability (HRV) have received a great deal of attention that promises to change the dimension of awareness of health and fitness while swimming. HRV is very useful to understand physiological and psychological status of an individual. The variation in HR, provides a reliable information about the role of Autonomic Nervous System (ANS). HRV is very convenient to understand the overall physiological status of an individual. Due to individuality of the HRV, regular monitoring HRV is useful to understand training adaptation, load, recovery, overtraining. The study provides a brief concept on HR and HRV in swimming individual. Although RR intervals are highly individual centric but due to same practice pattern or same type of physical activity, the swimmer group has very small quartile range. A significance difference in RR intervals between control group and swimmer group may come from two different effects of the nervous system. Either it indicates a significant increase in parasympathetic tone due to normal training adaptation or a sign of overtraining that has caused increase in parasympathetic tone. High HRV denotes good indication of positive adaptation, good cardiovascular efficiency. Low HRV score indicates deterioration in VO2max.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073845","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

Heart rate (HR) and Heart rate variability (HRV) have received a great deal of attention that promises to change the dimension of awareness of health and fitness while swimming. HRV is very useful to understand physiological and psychological status of an individual. The variation in HR, provides a reliable information about the role of Autonomic Nervous System (ANS). HRV is very convenient to understand the overall physiological status of an individual. Due to individuality of the HRV, regular monitoring HRV is useful to understand training adaptation, load, recovery, overtraining. The study provides a brief concept on HR and HRV in swimming individual. Although RR intervals are highly individual centric but due to same practice pattern or same type of physical activity, the swimmer group has very small quartile range. A significance difference in RR intervals between control group and swimmer group may come from two different effects of the nervous system. Either it indicates a significant increase in parasympathetic tone due to normal training adaptation or a sign of overtraining that has caused increase in parasympathetic tone. High HRV denotes good indication of positive adaptation, good cardiovascular efficiency. Low HRV score indicates deterioration in VO2max.
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
物联网服务器在秋季的检测和安全
心率(HR)和心率变异性(HRV)受到了广泛的关注,有望改变游泳时健康和健身意识的维度。心率变异对了解个体的生理和心理状态非常有用。HR的变化为自主神经系统(ANS)的作用提供了可靠的信息。HRV可以很方便地了解个体的整体生理状态。由于HRV的个体性,定期监测HRV有助于了解训练适应、负荷、恢复和过度训练。本研究提供了游泳个人心率和心率变异的简单概念。尽管RR区间高度以个体为中心,但由于相同的练习模式或相同类型的体育活动,游泳者组的四分位数范围非常小。对照组和游泳组RR间期的显著差异可能来自两种不同的神经系统作用。这要么表明由于正常的训练适应而导致副交感神经张力显著增加,要么表明过度训练导致副交感神经张力增加。高HRV表示良好的积极适应,良好的心血管效率。低HRV评分表明VO2max恶化。
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
Heuristics based Segmentation of Left Ventricle in Cardiac MR Images Hybrid CNNLBP using Facial Emotion Recognition based on Deep Learning Approach ANN Based Static Var Compensator For Improved Power System Security Photovoltaic System based Interleaved Converter for Grid System Effective Location-based Recommendation Systems for Holiday using RBM Machine Learning Approach
×
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