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本文引用的文献

1
Smartphone apps for snoring.治疗打鼾的智能手机应用程序。
J Laryngol Otol. 2015 Oct;129(10):974-9. doi: 10.1017/S0022215115001978. Epub 2015 Sep 3.
2
Nasopharyngeal airway stenting devices for obstructive sleep apnoea: a systematic review and meta-analysis.用于阻塞性睡眠呼吸暂停的鼻咽气道支架装置:系统评价与荟萃分析
J Laryngol Otol. 2015 Jan;129(1):2-10. doi: 10.1017/S0022215114003119. Epub 2014 Dec 29.
3
Apps in sleep medicine.睡眠医学中的应用程序。
Sleep Breath. 2015 Mar;19(1):411-7. doi: 10.1007/s11325-014-1009-6. Epub 2014 Jun 3.
4
Does my bed partner have OSA? There's an app for that!我的同床伴侣患有阻塞性睡眠呼吸暂停综合征(OSA)吗?有一款应用程序可以解决这个问题!
J Clin Sleep Med. 2014 Jan 15;10(1):79-80. doi: 10.5664/jcsm.3366.
5
Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept.使用智能手机监测声音来量化打鼾和睡眠呼吸暂停的严重程度:概念验证。
J Clin Sleep Med. 2014 Jan 15;10(1):73-8. doi: 10.5664/jcsm.3364.
6
Snoring exclusively during nasal breathing: a newly described respiratory pattern during sleep.仅在鼻腔呼吸时打鼾:一种新描述的睡眠呼吸模式。
Sleep Breath. 2014 Mar;18(1):159-64. doi: 10.1007/s11325-013-0864-x. Epub 2013 May 29.
7
Non-CPAP therapies in obstructive sleep apnoea: mandibular advancement device therapy.阻塞性睡眠呼吸暂停的非 CPAP 疗法:下颌前伸装置治疗。
Eur Respir J. 2012 May;39(5):1241-7. doi: 10.1183/09031936.00144711. Epub 2011 Nov 10.
8
Tissue vibration induces carotid artery endothelial dysfunction: a mechanism linking snoring and carotid atherosclerosis?组织振动会引起颈动脉内皮功能障碍:打鼾与颈动脉粥样硬化相关的机制?
Sleep. 2011 Jun 1;34(6):751-7. doi: 10.5665/SLEEP.1042.
9
Does snoring intensity correlate with the severity of obstructive sleep apnea?打鼾强度与阻塞性睡眠呼吸暂停的严重程度相关吗?
J Clin Sleep Med. 2010 Oct 15;6(5):475-8.
10
Heavy snoring as a cause of carotid artery atherosclerosis.重度打鼾作为颈动脉粥样硬化的一个病因。
Sleep. 2008 Sep;31(9):1207-13.

使用SnoreLab应用程序,在一名参与者身上用三部不同的智能手机进行打鼾强度评估。

Snoring intensity assessment with three different smartphones using the SnoreLab application in one participant.

作者信息

Figueras-Alvarez Oscar, Cantó-Navés Oriol, Cabratosa-Termes Josep, Roig-Cayón Miguel, Felipe-Spada Natalia, Tomàs-Aliberas Jordi

机构信息

Department of Prosthodontics, School of Dentistry, Universitat Internacional de Catalunya, Barcelona, Spain.

Department of TMJ, School of Dentistry, Universitat Internacional de Catalunya, Barcelona, Spain.

出版信息

J Clin Sleep Med. 2020 Nov 15;16(11):1971-1974. doi: 10.5664/jcsm.8676.

DOI:10.5664/jcsm.8676
PMID:32638700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8034225/
Abstract

STUDY OBJECTIVES

To compare the assessment of snoring using the SnoreLab application (app) using three different smartphones by one participant to validate SnoreLab as a method for collecting data for studies on the effectiveness of snoring treatment.

METHODS

A person from the research group was monitored for 30 consecutive nights with the SnoreLab app using three different smartphones (Xiaomi MI8Pro, Samsung Galaxy Alpha, and BQ Aquaris V). The SnoreLab app instructions were strictly followed, and data were collected from the app.

RESULTS

No significant differences were found in the measurements from the three smartphones in the time in bed, all snoring time, snoring percentage, and quiet time. BQ and Samsung smartphones determined significantly more light snoring time than did the Xiaomi smartphone. The Samsung smartphone assessed significantly less loud snoring time than did the Xiaomi smartphone and measured the shortest epic snoring time. The lowest Snore Score was calculated with the Samsung smartphone, the highest with the Xiaomi smartphone. Pearson's correlation coefficients demonstrated a relatively strong relationship between the Snore Score measured with the three smartphones.

CONCLUSIONS

Even though there was a relatively strong relationship between the Snore Score measured with the three smartphones by one participant, the observed differences make it difficult to use this index as a method of collecting data for studies on snoring treatment effectiveness when patients use different smartphones; however, the SnoreLab app may be handy to quantify treatment effectiveness for a specific patient, provided the patient always uses the same smartphone.

摘要

研究目的

由一名参与者使用三款不同的智能手机,通过SnoreLab应用程序(app)比较对打鼾的评估,以验证SnoreLab作为收集打鼾治疗效果研究数据的一种方法。

方法

研究小组的一名人员使用三款不同的智能手机(小米MI8 Pro、三星Galaxy Alpha和BQ Aquaris V),通过SnoreLab应用程序连续监测30个晚上。严格遵循SnoreLab应用程序的说明,并从该应用程序收集数据。

结果

三款智能手机在卧床时间、总打鼾时间、打鼾百分比和安静时间的测量结果中未发现显著差异。BQ和三星智能手机确定的轻度打鼾时间比小米智能手机显著更多。三星智能手机评估的重度打鼾时间比小米智能手机显著更少,且测量的最长鼾声时间最短。用三星智能手机计算出的鼾声评分最低,用小米智能手机计算出的鼾声评分最高。Pearson相关系数表明,三款智能手机测量的鼾声评分之间存在相对较强的关系。

结论

尽管一名参与者使用三款智能手机测量的鼾声评分之间存在相对较强的关系,但观察到的差异使得当患者使用不同智能手机时,难以将该指标用作收集打鼾治疗效果研究数据的方法;然而,如果患者始终使用同一部智能手机,SnoreLab应用程序可能便于量化特定患者的治疗效果。