Addison Paul S, Brewer Lara, Sundar Krishna M, Farney Robert, Smit Philip, Antunes Andre, Montgomery Dean
Research and Development, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, United Kingdom.
Anesthesiology Department, University of Utah, Salt Lake City, Utah.
J Clin Sleep Med. 2025 Apr 1;21(4):713-721. doi: 10.5664/jcsm.11486.
A nonintrusive sleep monitoring technology based on the data from a commercially available depth sensing camera has been utilized for respiratory monitoring and shown to have good performance in assessing respiratory rates across a range of rates. This noncontact or , technology allows continuous respiratory monitoring without attaching probes to the patient. We have noticed a strikingly similar morphology between the noncontact flow signal (NCM) and the flow signal derived using the chest and abdomen respiratory inductance plethysmography (RIP) bands. Here we report on a quantitative assessment of the morphological similarity between the two signals for a cohort of patients undergoing polysomnography.
We collected depth data from 25 sleep patients undergoing attended polysomnography. Correlation and mutual trending were assessed between the NCM and RIP signals in individuals undergoing diagnostic and split night polysomnography using Pearson correlation and concordance between the NCM and RIP signals.
Strong correlation was observed across all patients between the NCM and RIP signals (range: 0.78-0.98, mean: 0.89 ± 0.06). Similarly, high values of concordance were achieved between the NCM and RIP signals (range: 0.85-1.0, mean: 0.96 ± 0.04).
The high values of correlation and concordances confirm that the NCM signal can potentially be used as a surrogate for RIP signal during sleep. Our findings strongly support the potential for noncontact continuous monitoring of respiratory disturbances during sleep.
Addison PS, Brewer L, Sundar KM, et al. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIP) signal to assess respiratory events. . 2025;21(4):713-721.
一种基于市售深度感应相机数据的非侵入式睡眠监测技术已被用于呼吸监测，并显示在评估一系列呼吸频率时具有良好性能。这种非接触式技术允许在不将探头附着于患者的情况下进行连续呼吸监测。我们注意到非接触流量信号（NCM）与使用胸部和腹部呼吸感应体积描记法（RIP）带得出的流量信号之间存在惊人的相似形态。在此，我们报告了一组接受多导睡眠监测的患者中这两种信号形态相似性的定量评估。
我们收集了25名接受有医护人员陪同的多导睡眠监测的睡眠患者的深度数据。使用Pearson相关性以及NCM和RIP信号之间的一致性，评估了接受诊断性和分夜多导睡眠监测的个体中NCM和RIP信号之间的相关性和相互趋势。
在所有患者中，NCM和RIP信号之间均观察到强相关性（范围：(0.78 - 0.98)，平均值：(0.89 ± 0.06)）。同样，NCM和RIP信号之间也实现了高一致性值（范围：(0.85 - 1.0)，平均值：(0.96 ± 0.04)）。
高相关性和一致性值证实，NCM信号在睡眠期间有可能用作RIP信号的替代物。我们的研究结果有力地支持了在睡眠期间对呼吸障碍进行非接触式连续监测的潜力。
Addison PS, Brewer L, Sundar KM, et al. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIP) signal to assess respiratory events.. 2025;21(4):713 - 721.
