ArticleJournal of biomedical optics2022
Multimode optical fiber specklegram smart bed sensor array.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Dynamic multimode fiber specklegram sensor with automated training data generation for bed-exit prediction.Biomedical optics express · 2026Article
- Unobtrusive Bed Monitor State of the Art.Sensors (Basel, Switzerland) · 2025Review
- Sleep condition detection and assessment with optical fiber interferometer based on machine learning.iScience · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
significanceMonitoring the movement and vital signs of patients in hospitals and other healthcare environments is a significant burden on healthcare staff. Early warning systems using smart bed sensors hold promise to relieve this burden and improve patient outcomes. We propose a scalable and cost-effective optical fiber sensor array that can be embedded into a mattress to detect movement, both sensitively and spatially.
aimProof-of-concept demonstration that a multimode optical fiber (MMF) specklegram sensor array can be used to detect and image movement on a bed. APPROACH: Seven MMFs are attached to the upper surface of a mattress such that they cross in a 3 × 4 array. The specklegram output is monitored using a single laser and single camera and movement on the fibers is monitored by calculating a rolling zero-normalized cross-correlation. A 3 × 4 image is formed by comparing the signal at each crossing point between two fibers.
resultsThe MMF sensor array can detect and image movement on a bed, including getting on and off the bed, rolling on the bed, and breathing.
conclusionsThe sensor array shows a high sensitivity to movement, which can be used for monitoring physiological parameters and patient movement for potential applications in healthcare settings.
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Registered trials
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