• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

商业化智能指环和智能手表在日常环境中与医疗级活动记录仪的睡眠追踪比较:仪器验证研究。

Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study.

机构信息

Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, United States.

Department of Computing, University of Turku, Turku, Finland.

出版信息

JMIR Mhealth Uhealth. 2020 Nov 2;8(10):e20465. doi: 10.2196/20465.

DOI:10.2196/20465
PMID:33038869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7669442/
Abstract

BACKGROUND

Assessment of sleep quality is essential to address poor sleep quality and understand changes. Owing to the advances in the Internet of Things and wearable technologies, sleep monitoring under free-living conditions has become feasible and practicable. Smart rings and smartwatches can be employed to perform mid- or long-term home-based sleep monitoring. However, the validity of such wearables should be investigated in terms of sleep parameters. Sleep validation studies are mostly limited to short-term laboratory tests; there is a need for a study to assess the sleep attributes of wearables in everyday settings, where users engage in their daily routines.

OBJECTIVE

This study aims to evaluate the sleep parameters of the Oura ring along with the Samsung Gear Sport watch in comparison with a medically approved actigraphy device in a midterm everyday setting, where users engage in their daily routines.

METHODS

We conducted home-based sleep monitoring in which the sleep parameters of 45 healthy individuals (23 women and 22 men) were tracked for 7 days. Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) of the ring and watch were assessed using paired t tests, Bland-Altman plots, and Pearson correlation. The parameters were also investigated considering the gender of the participants as a dependent variable.

RESULTS

We found significant correlations between the ring's and actigraphy's TST (r=0.86; P<.001), WASO (r=0.41; P<.001), and SE (r=0.47; P<.001). Comparing the watch with actigraphy showed a significant correlation in TST (r=0.59; P<.001). The mean differences in TST, WASO, and SE of the ring and actigraphy were within satisfactory ranges, although there were significant differences between the parameters (P<.001); TST and SE mean differences were also within satisfactory ranges for the watch, and the WASO was slightly higher than the range (31.27, SD 35.15). However, the mean differences of the parameters between the watch and actigraphy were considerably higher than those of the ring. The watch also showed a significant difference in TST (P<.001) between female and male groups.

CONCLUSIONS

In a sample population of healthy adults, the sleep parameters of both the Oura ring and Samsung watch have acceptable mean differences and indicate significant correlations with actigraphy, but the ring outperforms the watch in terms of the nonstaging sleep parameters.

摘要

背景

评估睡眠质量对于解决睡眠质量差和了解睡眠质量变化至关重要。由于物联网和可穿戴技术的进步,在自由生活条件下进行睡眠监测已经变得可行和切实可行。智能戒指和智能手表可用于进行中期或长期的家庭睡眠监测。然而,这些可穿戴设备的有效性应根据睡眠参数进行评估。睡眠验证研究大多仅限于短期实验室测试;需要进行一项研究,以评估可穿戴设备在日常环境中的睡眠属性,在日常环境中,用户会进行日常活动。

目的

本研究旨在评估 Oura 戒指和三星 Gear Sport 手表的睡眠参数,与经过医学认可的活动记录仪设备在中期日常环境中进行比较,在日常环境中,用户会进行日常活动。

方法

我们进行了家庭睡眠监测,其中 45 名健康个体(23 名女性和 22 名男性)的睡眠参数被跟踪了 7 天。使用配对 t 检验、Bland-Altman 图和 Pearson 相关分析评估戒指和手表的总睡眠时间(TST)、睡眠效率(SE)和睡眠后觉醒时间(WASO)。还根据参与者的性别作为因变量研究了这些参数。

结果

我们发现戒指和活动记录仪的 TST(r=0.86;P<.001)、WASO(r=0.41;P<.001)和 SE(r=0.47;P<.001)之间存在显著相关性。与活动记录仪相比,手表的 TST 显示出显著相关性(r=0.59;P<.001)。戒指和活动记录仪的 TST、WASO 和 SE 的平均差异在可接受范围内,尽管参数之间存在显著差异(P<.001);手表的 TST 和 SE 平均差异也在可接受范围内,WASO 略高于范围(31.27,SD 35.15)。然而,手表和活动记录仪之间的参数平均差异明显高于戒指。手表的 TST 在女性和男性组之间也存在显著差异(P<.001)。

结论

在健康成年人的样本人群中,Oura 戒指和三星手表的睡眠参数具有可接受的平均差异,并与活动记录仪显示出显著相关性,但戒指在非分期睡眠参数方面优于手表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/30170ede19cb/mhealth_v8i10e20465_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/262c1f2ffb66/mhealth_v8i10e20465_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/11307b464941/mhealth_v8i10e20465_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/b71c49711d1b/mhealth_v8i10e20465_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/ab02fda61813/mhealth_v8i10e20465_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/30170ede19cb/mhealth_v8i10e20465_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/262c1f2ffb66/mhealth_v8i10e20465_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/11307b464941/mhealth_v8i10e20465_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/b71c49711d1b/mhealth_v8i10e20465_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/ab02fda61813/mhealth_v8i10e20465_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b539/7669442/30170ede19cb/mhealth_v8i10e20465_fig5.jpg

相似文献

1
Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study.商业化智能指环和智能手表在日常环境中与医疗级活动记录仪的睡眠追踪比较:仪器验证研究。
JMIR Mhealth Uhealth. 2020 Nov 2;8(10):e20465. doi: 10.2196/20465.
2
Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography.验证一种佩戴于髋部和腕部的活动加速度计设备与多导睡眠图的相关性。
Sleep Health. 2018 Apr;4(2):209-216. doi: 10.1016/j.sleh.2017.12.007. Epub 2018 Jan 17.
3
The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography.《指环王的睡眠:ŌURA 睡眠追踪器与多导睡眠图的比较》。
Behav Sleep Med. 2019 Mar-Apr;17(2):124-136. doi: 10.1080/15402002.2017.1300587. Epub 2017 Mar 21.
4
Validity of Actigraphy in Young Adults With Insomnia.年轻人失眠时的活动记录仪的有效性。
Behav Sleep Med. 2020 Jan-Feb;18(1):91-106. doi: 10.1080/15402002.2018.1545653. Epub 2018 Nov 25.
5
Actigraphy for the assessment of sleep measures in Parkinson's disease.活动记录仪评估帕金森病的睡眠测量。
Sleep. 2013 Aug 1;36(8):1209-17. doi: 10.5665/sleep.2888.
6
Objective sleep in pregnant women: a comparison of actigraphy and polysomnography.孕妇的客观睡眠:活动记录仪与多导睡眠图的比较。
Sleep Health. 2018 Oct;4(5):390-396. doi: 10.1016/j.sleh.2018.07.011. Epub 2018 Aug 26.
7
Validation of a Consumer Sleep Wearable Device With Actigraphy and Polysomnography in Adolescents Across Sleep Opportunity Manipulations.在睡眠机会干预下,通过动作活动记录仪和多导睡眠图对青少年消费者睡眠可穿戴设备进行验证。
J Clin Sleep Med. 2019 Sep 15;15(9):1337-1346. doi: 10.5664/jcsm.7932.
8
Validation of Zulu Watch against Polysomnography and Actigraphy for On-Wrist Sleep-Wake Determination and Sleep-Depth Estimation.祖鲁表(Zulu Watch)腕部睡眠-觉醒判定及深度评估的多导睡眠图和活动记录仪验证。
Sensors (Basel). 2020 Dec 25;21(1):76. doi: 10.3390/s21010076.
9
Direct comparison of two new actigraphs and polysomnography in children and adolescents.直接比较两种新的活动记录仪和多导睡眠图在儿童和青少年中的应用。
Sleep. 2012 Jan 1;35(1):159-66. doi: 10.5665/sleep.1608.
10
Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.利用多传感器消费级可穿戴设备的心率和运动数据检测睡眠,与腕部活动记录仪和多导睡眠图相比。
Sleep. 2020 Jul 13;43(7). doi: 10.1093/sleep/zsaa045.

引用本文的文献

1
Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.使用可穿戴设备和智能手机通过机器学习进行心理健康监测的被动传感:范围综述
J Med Internet Res. 2025 Aug 14;27:e77066. doi: 10.2196/77066.
2
How different training sessions affect the sleep of professional soccer players.不同的训练课程如何影响职业足球运动员的睡眠。
Biol Sport. 2025 Apr;42(2):125-133. doi: 10.5114/biolsport.2025.142644. Epub 2024 Oct 15.
3
Preadolescent Children Using Real-Time Heart Rate During Moderate to Vigorous Physical Activity: A Feasibility Study.

本文引用的文献

1
Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions.消费者活动腕带和可穿戴脑电图在自由生活条件下测量总体睡眠参数和睡眠结构的有效性。
J Healthc Inform Res. 2018 Apr 20;2(1-2):152-178. doi: 10.1007/s41666-018-0013-1. eCollection 2018 Jun.
2
The future of sleep health: a data-driven revolution in sleep science and medicine.睡眠健康的未来:睡眠科学与医学中由数据驱动的革命。
NPJ Digit Med. 2020 Mar 23;3:42. doi: 10.1038/s41746-020-0244-4. eCollection 2020.
3
Subjective and objective sleep differ in male and female collegiate athletes.
青春期前儿童在中度至剧烈体育活动中使用实时心率:一项可行性研究。
JMIR Hum Factors. 2025 Mar 6;12:e58715. doi: 10.2196/58715.
4
A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.一种基于深度学习的智能服装,用于在日常生活中准确、多功能地监测睡眠状况。
Proc Natl Acad Sci U S A. 2025 Feb 18;122(7):e2420498122. doi: 10.1073/pnas.2420498122. Epub 2025 Feb 11.
5
A systematic review of passive data for remote monitoring in psychosis and schizophrenia.对用于精神病和精神分裂症远程监测的被动数据的系统评价。
NPJ Digit Med. 2025 Jan 27;8(1):62. doi: 10.1038/s41746-025-01451-2.
6
Discrepancies between subjective and objective sleep assessments revealed by in-home electroencephalography during real-world sleep.在现实睡眠期间通过家庭脑电图揭示的主观和客观睡眠评估之间的差异。
Proc Natl Acad Sci U S A. 2025 Jan 21;122(3):e2412895121. doi: 10.1073/pnas.2412895121. Epub 2025 Jan 16.
7
The Use of Principal Component Analysis for Reduction in Sleep Quality and Quantity Data in Female Professional Soccer.主成分分析在减少女子职业足球运动员睡眠质量和数量数据中的应用
Sensors (Basel). 2024 Dec 30;25(1):148. doi: 10.3390/s25010148.
8
Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study.一款活动记录仪手表睡眠测量的验证:仪器验证研究。
JMIR Form Res. 2025 Jan 6;9:e63529. doi: 10.2196/63529.
9
Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 2.新一代人工智能对头痛研究、诊断和治疗的影响:青年编辑委员会成员的展望 - 第2部分
J Headache Pain. 2025 Jan 2;26(1):2. doi: 10.1186/s10194-024-01944-7.
10
Longitudinal single-subject neuroimaging study reveals effects of daily environmental, physiological, and lifestyle factors on functional brain connectivity.纵向单个体神经影像学研究揭示了日常环境、生理和生活方式因素对功能大脑连接的影响。
PLoS Biol. 2024 Oct 8;22(10):e3002797. doi: 10.1371/journal.pbio.3002797. eCollection 2024 Oct.
男性和女性大学生运动员的主观和客观睡眠存在差异。
Sleep Health. 2020 Oct;6(5):623-628. doi: 10.1016/j.sleh.2020.01.016. Epub 2020 Mar 6.
4
A systematic review of the accuracy of sleep wearable devices for estimating sleep onset.睡眠可穿戴设备估算睡眠起始时间准确性的系统评价
Sleep Med Rev. 2020 Feb;49:101227. doi: 10.1016/j.smrv.2019.101227. Epub 2019 Nov 6.
5
Measuring Sleep Quality and Efficiency With an Activity Monitoring Device in Comparison to Polysomnography.使用活动监测设备与多导睡眠图相比测量睡眠质量和效率。
J Clin Med Res. 2019 Dec;11(12):825-833. doi: 10.14740/jocmr4026. Epub 2019 Nov 24.
6
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.腕部 Fitbit 型号设备评估睡眠的准确性:系统评价与荟萃分析
J Med Internet Res. 2019 Nov 28;21(11):e16273. doi: 10.2196/16273.
7
Validation of Fitbit Charge 2 and Fitbit Alta HR Against Polysomnography for Assessing Sleep in Adults With Obstructive Sleep Apnea.验证 Fitbit Charge 2 和 Fitbit Alta HR 对阻塞性睡眠呼吸暂停成年人睡眠评估的多导睡眠图的准确性。
J Clin Sleep Med. 2019 Nov 15;15(11):1645-1653. doi: 10.5664/jcsm.8032.
8
Ballistocardiogram signal processing: a review.心冲击图信号处理:综述
Health Inf Sci Syst. 2019 May 16;7(1):10. doi: 10.1007/s13755-019-0071-7. eCollection 2019 Dec.
9
Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth.智能腕带在妊娠期间和产后一个月连续监测的可行性。
BMC Pregnancy Childbirth. 2019 Jan 17;19(1):34. doi: 10.1186/s12884-019-2187-9.
10
Short sleep duration and cardiometabolic risk: from pathophysiology to clinical evidence.睡眠时间短与心脏代谢风险:从病理生理学到临床证据。
Nat Rev Cardiol. 2019 Apr;16(4):213-224. doi: 10.1038/s41569-018-0109-6.