Evaluation of a radar-based XeThru sensor to assess respiratory rate in suspected OSA

<bold>Background:</bold> Contactless sensors, if validated in the user population and combined with relevant other sensors, may be of interest for diagnostics and therapy follow-up for obstructive sleep apnoea (OSA). Radar sensors could be used to measure respiratory rate and respiratory effort. <bold>Aims and Objectives:</bold> The aim was to evaluate the diagnostic accuracy of the radar sensor compared to sleep laboratory polygraphy in the measurement of respiratory rate (RR) in patients with suspected OSA. <bold>Methods:</bold> The RR was measured using the radar sensor (ultra-wide band XeThru X4M200 sensor, Novelda, Norway) mounted at the head end at an angle of 55° as well as the flow signal from nasal pressure prongs (NP) and thoracic-respiratory induction plethysmography (THO) in an in-lab polygraphy performed at the same time and compared in patients with and without OSA. <bold>Results:</bold> Out of 56 patients (age (SD) 50.6 (14.5) y, 25% women, apnoea-hypopnea index 14(20)/h), 27 had an AHI ≥15/h (OSA) and 21 <10/h (no OSA). The Pearson’s correlation coefficient showed a high correlation between the mean RR estimated with the radar sensor and the polygraphy with no relevant influence of presence of OSA, AHI or used channel (THO or NP). <bold>Conclusions:</bold> The XeThru sensor shows good reliability in measuring respiratory rate in the presence or absence of OSA and could be used as a contactless sensor together with the channels necessary for OSA diagnostics (e.g. airflow). <fig><object-id>erj;64/suppl_68/PA4466/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Publication Details

Journal
Sleep Science
Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa4466
Primary Topic
Obstructive Sleep Apnea Research
Type
article
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article

Evaluation of a radar-based XeThru sensor to assess respiratory rate in suspected OSA

Malcolm Kohler, Matteo Bradicich, Elisabeth Wilhelm, Esther Irene Schwarz et al.
Sleep Science
Obstructive Sleep Apnea Research
article

Evaluation of a radar-based XeThru sensor to assess respiratory rate in suspected OSA

Malcolm Kohler, Matteo Bradicich, Elisabeth Wilhelm, Esther Irene Schwarz, Robert Riener, Fabian A. Grewe, Joël Julien Herzig, Alexander Breuss
article en

Abstract

<bold>Background:</bold> Contactless sensors, if validated in the user population and combined with relevant other sensors, may be of interest for diagnostics and therapy follow-up for obstructive sleep apnoea (OSA). Radar sensors could be used to measure respiratory rate and respiratory effort. <bold>Aims and Objectives:</bold> The aim was to evaluate the diagnostic accuracy of the radar sensor compared to sleep laboratory polygraphy in the measurement of respiratory rate (RR) in patients with suspected OSA. <bold>Methods:</bold> The RR was measured using the radar sensor (ultra-wide band XeThru X4M200 sensor, Novelda, Norway) mounted at the head end at an angle of 55° as well as the flow signal from nasal pressure prongs (NP) and thoracic-respiratory induction plethysmography (THO) in an in-lab polygraphy performed at the same time and compared in patients with and without OSA. <bold>Results:</bold> Out of 56 patients (age (SD) 50.6 (14.5) y, 25% women, apnoea-hypopnea index 14(20)/h), 27 had an AHI ≥15/h (OSA) and 21 <10/h (no OSA). The Pearson’s correlation coefficient showed a high correlation between the mean RR estimated with the radar sensor and the polygraphy with no relevant influence of presence of OSA, AHI or used channel (THO or NP). <bold>Conclusions:</bold> The XeThru sensor shows good reliability in measuring respiratory rate in the presence or absence of OSA and could be used as a contactless sensor together with the channels necessary for OSA diagnostics (e.g. airflow). <fig><object-id>erj;64/suppl_68/PA4466/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Sleep Science
University of Groningen (NL), Board of the Swiss Federal Institutes of Technology (CH), University Hospital of Zurich (CH)
Zero hunger
Openalex Percentile: Top 72%
Obstructive Sleep Apnea Research
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