Plastic Optical Fiber With Spherical Lens Embedded in Mattress for Sleep Monitoring

The quality of sleep is closely related to human health; however, traditional polysomnography is expensive and time-consuming, making it impractical for routine home sleep diagnosis. This study introduces a smart mattress based on a spherical lens enhanced plastic optical fiber sensor. UV-fused silica ball lenses are embedded into PMMA plastic optical fibers, which are then encapsulated with Ecoflex silicone rubber. The smart mattress employs a dual-channel design and collected data from eight subjects in various sleep postures. The signals are transformed into the frequency domain for processing using the Welch power spectral density estimation method. The results indicate that the smart mattress has a mean absolute error of less than 1.92 bpm for heart rate (HR) and 0.95 bpm for respiratory rate (RR). Additionally, consistency analysis was conducted using Bland-Altman analysis and linear regression methods. The results showed that the 95% limits of agreement for HR were -3.047 bpm to 2.915 bpm, with an R² value of 0.95729, and for RR they were -1.741 bpm to 1.380 bpm, with an R² value of 0.9738. Furthermore, Random Forest algorithm was applied to the dataset, successfully classifying between five different sleep behaviors with a classification accuracy of 97.67%. This smart mattress is capable of long-term, stable monitoring of physiological parameters and sleep behavior monitoring, providing a low-cost solution for home sleep monitoring.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-07
DOI
https://doi.org/10.1109/jsen.2025.3556630
Citations
4
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
2.92

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article

Plastic Optical Fiber With Spherical Lens Embedded in Mattress for Sleep Monitoring

Kun Xiao, Zhuo Wang, Rui Min, Decao Wu et al.
4 citations
IEEE Sensors Journal
Optical Wireless Communication Technologies
2.92
article

Plastic Optical Fiber With Spherical Lens Embedded in Mattress for Sleep Monitoring

Kun Xiao, Zhuo Wang, Rui Min, Decao Wu, Xuehao Hu, Chaoke Zou, Binbin Luo
article en
4 citations

Abstract

The quality of sleep is closely related to human health; however, traditional polysomnography is expensive and time-consuming, making it impractical for routine home sleep diagnosis. This study introduces a smart mattress based on a spherical lens enhanced plastic optical fiber sensor. UV-fused silica ball lenses are embedded into PMMA plastic optical fibers, which are then encapsulated with Ecoflex silicone rubber. The smart mattress employs a dual-channel design and collected data from eight subjects in various sleep postures. The signals are transformed into the frequency domain for processing using the Welch power spectral density estimation method. The results indicate that the smart mattress has a mean absolute error of less than 1.92 bpm for heart rate (HR) and 0.95 bpm for respiratory rate (RR). Additionally, consistency analysis was conducted using Bland-Altman analysis and linear regression methods. The results showed that the 95% limits of agreement for HR were -3.047 bpm to 2.915 bpm, with an R² value of 0.95729, and for RR they were -1.741 bpm to 1.380 bpm, with an R² value of 0.9738. Furthermore, Random Forest algorithm was applied to the dataset, successfully classifying between five different sleep behaviors with a classification accuracy of 97.67%. This smart mattress is capable of long-term, stable monitoring of physiological parameters and sleep behavior monitoring, providing a low-cost solution for home sleep monitoring.

IEEE Sensors JournalVol. 25(10)
University of Mons (BE), Beijing Normal University (CN), Chongqing University of Technology (CN)
Chongqing University, Fonds De La Recherche Scientifique - FNRS, Beijing Normal University, Chongqing University of Technology, Centre Scientifique et Technique du Bâtiment
Openalex Percentile: Top 10%
Optical Wireless Communication Technologies
2.92
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