PDF(Pubmed)
Abstract：
UNASSIGNED: Obstructive sleep apnea (OSA) is a common breathing disorder during sleep that is associated with symptoms such as snoring, excessive daytime sleepiness, and breathing interruptions. Polysomnography (PSG) is the most reliable diagnostic test for OSA; however, its high cost and lengthy testing duration make it difficult to access for many patients. With the availability of free snore applications for home-monitoring, this study aimed to validate the top three ranked snore applications, namely SnoreLab (SL), Anti Snore Solution (ASS), and Sleep Cycle Alarm (SCA), using PSG.
UNASSIGNED: Sixty participants underwent an overnight PSG while simultaneously using three identical smartphones with the tested apps to gather sleep and snoring data.
UNASSIGNED: The study discovered that all three applications were significantly correlated with the total recording time and snore counts of PSG, with ASS showing good agreement with snore counts. Furthermore, the Snore Score, Time Snoring of SL, and Sleep Quality of SCA had a significant correlation with the natural logarithm of apnea hypopnea index (lnAHI) of PSG. The Snore Score of SL and the Sleep Quality of SCA were shown to be useful for evaluating snore severity and for pre-diagnosing or predicting OSA above moderate levels.
UNASSIGNED: These findings suggest that some parameters of free snore applications can be employed to monitor OSA progress, and future research could involve adjusted algorithms and larger-scale studies to further authenticate these downloadable snore and sleep applications.
UNASSIGNED: Sixty participants underwent an overnight PSG while simultaneously using three identical smartphones with the tested apps to gather sleep and snoring data.
UNASSIGNED: The study discovered that all three applications were significantly correlated with the total recording time and snore counts of PSG, with ASS showing good agreement with snore counts. Furthermore, the Snore Score, Time Snoring of SL, and Sleep Quality of SCA had a significant correlation with the natural logarithm of apnea hypopnea index (lnAHI) of PSG. The Snore Score of SL and the Sleep Quality of SCA were shown to be useful for evaluating snore severity and for pre-diagnosing or predicting OSA above moderate levels.
UNASSIGNED: These findings suggest that some parameters of free snore applications can be employed to monitor OSA progress, and future research could involve adjusted algorithms and larger-scale studies to further authenticate these downloadable snore and sleep applications.
摘要：
■阻塞性睡眠呼吸暂停（OSA）是睡眠期间常见的呼吸障碍，与打鼾等症状有关，白天过度嗜睡，和呼吸中断。多导睡眠图(PSG)是最可靠的OSA诊断测试;然而,它的高成本和漫长的测试持续时间使许多患者难以获得。随着家庭监控的免费打鼾应用程序的可用性，这项研究旨在验证排名前三的打鼾应用，即SnoreLab(SL)，抗打鼾溶液（ASS），和睡眠周期报警（SCA），使用PSG。
■60名参与者进行了夜间PSG，同时使用三款相同的智能手机和测试的应用程序来收集睡眠和打鼾数据。
■研究发现，所有三种应用都与PSG的总记录时间和打鼾次数显着相关，ASS与打鼾计数显示出良好的一致性。此外，打鼾得分,SL打鼾的时间，SCA的睡眠质量与PSG的呼吸暂停低通气指数（lnAHI）的自然对数具有显着相关性。SL的打鼾评分和SCA的睡眠质量被证明可用于评估打鼾的严重程度以及预诊断或预测OSA高于中等水平。
■这些发现表明，可以采用一些自由打鼾应用参数来监测OSA进展，未来的研究可能涉及调整算法和更大规模的研究，以进一步验证这些可下载的打鼾和睡眠应用。
■60名参与者进行了夜间PSG，同时使用三款相同的智能手机和测试的应用程序来收集睡眠和打鼾数据。
■研究发现，所有三种应用都与PSG的总记录时间和打鼾次数显着相关，ASS与打鼾计数显示出良好的一致性。此外，打鼾得分,SL打鼾的时间，SCA的睡眠质量与PSG的呼吸暂停低通气指数（lnAHI）的自然对数具有显着相关性。SL的打鼾评分和SCA的睡眠质量被证明可用于评估打鼾的严重程度以及预诊断或预测OSA高于中等水平。
■这些发现表明，可以采用一些自由打鼾应用参数来监测OSA进展，未来的研究可能涉及调整算法和更大规模的研究，以进一步验证这些可下载的打鼾和睡眠应用。
