Open Access Paper
11 September 2024 A comparative study of two methods for sleep respiratory detection
Author Affiliations +
Proceedings Volume 13270, International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024); 132700L (2024) https://doi.org/10.1117/12.3040026
Event: 2024 International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024), 2024, Shenyang, China
Abstract
Sleep respiratory signals are among the crucial physiological parameters of the human body, playing a significant role in the diagnosis and treatment of sleep-related disorders such as sleep apnea syndrome. However, current detection methods have certain limitations and are not yet widely applied in practice. This paper presents a comparative experimental study of contact-based piezoelectric and non-contact millimeter-wave radar methods for sleep respiratory detection. The aim is to analyze the differences and characteristics of these methods in clinical applications, providing valuable references for the detection of sleep respiratory signals in clinical practice. Experimental outcomes indicate that the millimeter-wave radar acquisition technique manifests considerable disparities in the intensity of respiratory signals across distinct sleeping orientations, specifically ranking in the order of prone > supine > lateral. This observation underscores the method's heightened responsiveness to alterations in sleeping posture. Notably, when subjects are in the prone position, the peak values of respiratory signals acquired through this technique exhibit a higher degree of consistency. In contrast, the piezoelectric approach yields respiratory signal intensities that remain largely invariant across diverse sleeping postures, thereby affirming its robust stability amidst changes in posture. Additionally, it is noteworthy that the piezoelectric method facilitates the collection of respiratory signals with more stable peak values during both supine and lateral sleeping postures.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zeshan Wu, Kexin Xu, Min Tang, Weijun Sun, and Linglin Xia "A comparative study of two methods for sleep respiratory detection", Proc. SPIE 13270, International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024), 132700L (11 September 2024); https://doi.org/10.1117/12.3040026
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KEYWORDS
Sensors

Signal detection

Radar

Radar signal processing

Pulse signals

Radar sensor technology

Ferroelectric polymers

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