使用基于雷达的睡眠监测仪(Somnofy)测量健康成年人的非接触性纵向呼吸频率:验证研究

Ståle Toften, Jonas T Kjellstadli, Ole Kristian Forstrønen Thu, Ole-Johan Ellingsen
{"title":"使用基于雷达的睡眠监测仪(Somnofy)测量健康成年人的非接触性纵向呼吸频率:验证研究","authors":"Ståle Toften, Jonas T Kjellstadli, Ole Kristian Forstrønen Thu, Ole-Johan Ellingsen","doi":"10.2196/36618","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Respiratory rate (RR) is arguably the most important vital sign to detect clinical deterioration. Change in RR can also, for example, be associated with the onset of different diseases, opioid overdoses, intense workouts, or mood. However, unlike for most other vital parameters, an easy and accurate measuring method is lacking.</p><p><strong>Objective: </strong>This study aims to validate the radar-based sleep monitor, Somnofy, for measuring RRs and investigate whether events affecting RR can be detected from personalized baselines calculated from nightly averages.</p><p><strong>Methods: </strong>First, RRs from Somnofy for 37 healthy adults during full nights of sleep were extensively validated against respiratory inductance plethysmography. Then, the night-to-night consistency of a proposed filtered average RR was analyzed for 6 healthy participants in a pilot study in which they used Somnofy at home for 3 months.</p><p><strong>Results: </strong>Somnofy measured RR 84% of the time, with mean absolute error of 0.18 (SD 0.05) respirations per minute, and Bland-Altman 95% limits of agreement adjusted for repeated measurements ranged from -0.99 to 0.85. The accuracy and coverage were substantially higher in deep and light sleep than in rapid eye movement sleep and wake. The results were independent of age, sex, and BMI, but dependent on supine sleeping position for some radar orientations. For nightly filtered averages, the 95% limits of agreement ranged from -0.07 to -0.04 respirations per minute. In the longitudinal part of the study, the nightly average was consistent from night to night, and all substantial deviations coincided with self-reported illnesses.</p><p><strong>Conclusions: </strong>RRs from Somnofy were more accurate than those from any other alternative method suitable for longitudinal measurements. Moreover, the nightly averages were consistent from night to night. Thus, several factors affecting RR should be detectable as anomalies from personalized baselines, enabling a range of applications. More studies are necessary to investigate its potential in children and older adults or in a clinical setting.</p>","PeriodicalId":87288,"journal":{"name":"JMIR biomedical engineering","volume":" ","pages":"e36618"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11041471/pdf/","citationCount":"0","resultStr":"{\"title\":\"Noncontact Longitudinal Respiratory Rate Measurements in Healthy Adults Using Radar-Based Sleep Monitor (Somnofy): Validation Study.\",\"authors\":\"Ståle Toften, Jonas T Kjellstadli, Ole Kristian Forstrønen Thu, Ole-Johan Ellingsen\",\"doi\":\"10.2196/36618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Respiratory rate (RR) is arguably the most important vital sign to detect clinical deterioration. Change in RR can also, for example, be associated with the onset of different diseases, opioid overdoses, intense workouts, or mood. However, unlike for most other vital parameters, an easy and accurate measuring method is lacking.</p><p><strong>Objective: </strong>This study aims to validate the radar-based sleep monitor, Somnofy, for measuring RRs and investigate whether events affecting RR can be detected from personalized baselines calculated from nightly averages.</p><p><strong>Methods: </strong>First, RRs from Somnofy for 37 healthy adults during full nights of sleep were extensively validated against respiratory inductance plethysmography. Then, the night-to-night consistency of a proposed filtered average RR was analyzed for 6 healthy participants in a pilot study in which they used Somnofy at home for 3 months.</p><p><strong>Results: </strong>Somnofy measured RR 84% of the time, with mean absolute error of 0.18 (SD 0.05) respirations per minute, and Bland-Altman 95% limits of agreement adjusted for repeated measurements ranged from -0.99 to 0.85. The accuracy and coverage were substantially higher in deep and light sleep than in rapid eye movement sleep and wake. The results were independent of age, sex, and BMI, but dependent on supine sleeping position for some radar orientations. For nightly filtered averages, the 95% limits of agreement ranged from -0.07 to -0.04 respirations per minute. In the longitudinal part of the study, the nightly average was consistent from night to night, and all substantial deviations coincided with self-reported illnesses.</p><p><strong>Conclusions: </strong>RRs from Somnofy were more accurate than those from any other alternative method suitable for longitudinal measurements. Moreover, the nightly averages were consistent from night to night. Thus, several factors affecting RR should be detectable as anomalies from personalized baselines, enabling a range of applications. More studies are necessary to investigate its potential in children and older adults or in a clinical setting.</p>\",\"PeriodicalId\":87288,\"journal\":{\"name\":\"JMIR biomedical engineering\",\"volume\":\" \",\"pages\":\"e36618\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11041471/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR biomedical engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/36618\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR biomedical engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/36618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

呼吸频率(RR)可以说是检测临床恶化的最重要的生命体征。例如,RR的变化也可能与不同疾病的发作、阿片类药物过量、高强度锻炼或情绪有关。然而,与大多数其他重要参数不同,缺乏一种简单准确的测量方法。这项研究旨在验证基于雷达的睡眠监测仪Somnofy用于测量RR,并研究是否可以从夜间平均值计算的个性化基线中检测到影响RR的事件。首先,Somnofy对37名健康成年人在整晚睡眠期间的RR进行了呼吸电感体积描记术的广泛验证。然后,在一项试点研究中,对6名健康参与者的拟议过滤平均RR的夜间一致性进行了分析,在该研究中,他们在家中使用Somnofy达3个月。Somnofy测量了84%的RR,平均绝对误差为每分钟0.18次呼吸(SD 0.05),Bland-Altman 95%的一致性限值为-0.99至0.85。深度睡眠和轻度睡眠的准确率和覆盖率明显高于快速眼动睡眠和清醒。结果与年龄、性别和BMI无关,但在某些雷达方向上取决于仰卧睡姿。对于夜间过滤平均值,95%的一致性范围为每分钟−0.07至−0.04次呼吸。在研究的纵向部分,每晚的平均值是一致的,所有重大偏差都与自我报告的疾病一致。Somnofy的RR比适用于纵向测量的任何其他替代方法的RR更准确。此外,每晚的平均值是一致的。因此,影响RR的几个因素应该可以从个性化基线中检测为异常,从而实现一系列应用。需要进行更多的研究来调查其在儿童和老年人或临床环境中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noncontact Longitudinal Respiratory Rate Measurements in Healthy Adults Using Radar-Based Sleep Monitor (Somnofy): Validation Study.

Background: Respiratory rate (RR) is arguably the most important vital sign to detect clinical deterioration. Change in RR can also, for example, be associated with the onset of different diseases, opioid overdoses, intense workouts, or mood. However, unlike for most other vital parameters, an easy and accurate measuring method is lacking.

Objective: This study aims to validate the radar-based sleep monitor, Somnofy, for measuring RRs and investigate whether events affecting RR can be detected from personalized baselines calculated from nightly averages.

Methods: First, RRs from Somnofy for 37 healthy adults during full nights of sleep were extensively validated against respiratory inductance plethysmography. Then, the night-to-night consistency of a proposed filtered average RR was analyzed for 6 healthy participants in a pilot study in which they used Somnofy at home for 3 months.

Results: Somnofy measured RR 84% of the time, with mean absolute error of 0.18 (SD 0.05) respirations per minute, and Bland-Altman 95% limits of agreement adjusted for repeated measurements ranged from -0.99 to 0.85. The accuracy and coverage were substantially higher in deep and light sleep than in rapid eye movement sleep and wake. The results were independent of age, sex, and BMI, but dependent on supine sleeping position for some radar orientations. For nightly filtered averages, the 95% limits of agreement ranged from -0.07 to -0.04 respirations per minute. In the longitudinal part of the study, the nightly average was consistent from night to night, and all substantial deviations coincided with self-reported illnesses.

Conclusions: RRs from Somnofy were more accurate than those from any other alternative method suitable for longitudinal measurements. Moreover, the nightly averages were consistent from night to night. Thus, several factors affecting RR should be detectable as anomalies from personalized baselines, enabling a range of applications. More studies are necessary to investigate its potential in children and older adults or in a clinical setting.

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
自引率
0.00%
发文量
0
审稿时长
20 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信