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Study Objectives: <p>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 <i>touchless</i>, technology allows continuous respiratory monitoring without attaching probes to the patient. We have noticed a strikingly similar morphology between the noncontact flow signal (NCM<sub>flow</sub>) and the flow signal derived using the chest and abdomen respiratory inductance plethysmography (RIP<sub>flow</sub>) bands. Here we report on a quantitative assessment of the morphological similarity between the two signals for a cohort of patients undergoing polysomnography.</p> Methods: <p>We collected depth data from 25 sleep patients undergoing attended polysomnography. Correlation and mutual trending were assessed between the NCM<sub>flow</sub> and RIP<sub>flow</sub> signals in individuals undergoing diagnostic and split night polysomnography using Pearson correlation and concordance between the NCM<sub>flow</sub> and RIP<sub>flow</sub> signals.</p> Results: <p>Strong correlation was observed across all patients between the NCM<sub>flow</sub> and RIP<sub>flow</sub> signals (range: 0.78–0.98, mean: 0.89 ± 0.06). Similarly, high values of concordance were achieved between the NCM<sub>flow</sub> and RIP<sub>flow</sub> signals (range: 0.85–1.0, mean: 0.96 ± 0.04).</p> Conclusions: <p>The high values of correlation and concordances confirm that the NCM<sub>flow</sub> signal can potentially be used as a surrogate for RIP<sub>flow</sub> signal during sleep. Our findings strongly support the potential for noncontact continuous monitoring of respiratory disturbances during sleep.</p> Citation: <p>Addison PS, Brewer L, Sundar KM, et&#xa0;al. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIP<sub>flow</sub>) signal to assess respiratory events. <i>J Clin Sleep Med</i>. 2025;21(4):713–721.</p>

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Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIPflow) signal to assess respiratory events

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月1日

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  • Paul S. Addison,
  • Lara Brewer,
  • Krishna M. Sundar,
  • Robert Farney,
  • Philip Smit,
  • Andre Antunes,
  • Dean Montgomery

摘要

Study Objectives:

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 touchless, technology allows continuous respiratory monitoring without attaching probes to the patient. We have noticed a strikingly similar morphology between the noncontact flow signal (NCMflow) and the flow signal derived using the chest and abdomen respiratory inductance plethysmography (RIPflow) bands. Here we report on a quantitative assessment of the morphological similarity between the two signals for a cohort of patients undergoing polysomnography.

Methods:

We collected depth data from 25 sleep patients undergoing attended polysomnography. Correlation and mutual trending were assessed between the NCMflow and RIPflow signals in individuals undergoing diagnostic and split night polysomnography using Pearson correlation and concordance between the NCMflow and RIPflow signals.

Results:

Strong correlation was observed across all patients between the NCMflow and RIPflow signals (range: 0.78–0.98, mean: 0.89 ± 0.06). Similarly, high values of concordance were achieved between the NCMflow and RIPflow signals (range: 0.85–1.0, mean: 0.96 ± 0.04).

Conclusions:

The high values of correlation and concordances confirm that the NCMflow signal can potentially be used as a surrogate for RIPflow signal during sleep. Our findings strongly support the potential for noncontact continuous monitoring of respiratory disturbances during sleep.

Citation:

Addison PS, Brewer L, Sundar KM, et al. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIPflow) signal to assess respiratory events. J Clin Sleep Med. 2025;21(4):713–721.