A Non-Contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor

This paper introduces a non-contact sleep monitoring system based on a fiber optic MachZehnder Interferometer (MZI). The proposed Noisy-label-learning Transformer algorithm is used to classify sleep stages, achieving an accuracy of 82.65%.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110460
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

A Non-Contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor

Weimin Lyu, Changyuan Yu, Yong Chen, Shijun Xiao
Non-Invasive Vital Sign Monitoring
article

A Non-Contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor

Weimin Lyu, Changyuan Yu, Yong Chen, Shijun Xiao
article en

Abstract

This paper introduces a non-contact sleep monitoring system based on a fiber optic MachZehnder Interferometer (MZI). The proposed Noisy-label-learning Transformer algorithm is used to classify sleep stages, achieving an accuracy of 82.65%.

Hong Kong Polytechnic University (HK)
Hong Kong Polytechnic University
Affordable and clean energy
Openalex Percentile: Top 80%
Non-Invasive Vital Sign Monitoring
DOISourceOpenAlex
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A Non-Contact Sleep Analysis System Based on Transformer and Optical Fiber Sensor — Weimin Lyu, Changyuan Yu, et al. · (2025) | TGRS Research Map | TGRS