Evidence map›Paper›PMID 42280860›Full record

ArticleSensors (Basel, Switzerland)2026

Knee Joint Motion Detection Based on Demodulation of Overlapping Spectrum Using Fiber Bragg Grating Sensor.

Linlin Fan, Lingzhen Yang, Juanfen Wang, Weijie Ding, Huizhi Ren, Chao Zhou

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Linlin FanCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Lingzhen YangCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Juanfen WangCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Weijie DingCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Huizhi RenCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Chao ZhouCollege of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.

Funding

the National Natural Science Foundation of China 61975141, 61575137, 61675144
6 · The paper itself

Abstract

This study proposes a knee joint motion detection method based on overlapping spectrum demodulation using fiber Bragg grating (FBG) technology. A flexible FBG encapsulated with polydimethylsiloxane (PDMS) is attached to the joint surface. Axial strain in the FBG sensor is generated due to the bending and extension movements of the joint, which leads to a central reflection wavelength shift of the FBG sensor. The overlapping spectrum between the FBG reflection and the output of a tunable fiber laser is related to the wavelength shift of the FBG. The variation is expressed as the changes in reflected optical power received by an optical power meter. It transforms complex spectral analysis into intuitive optical power measurement for demodulating the reflected wavelength of the FBG sensor. The relationship between the optical power of the overlapping spectrum and wavelength shift of the FBG induced by joint motion is theoretically and experimentally analyzed. The real-time demodulation of joint motion is realized based on this relationship. Experimental results demonstrate that the system exhibits good repeatability in monitoring knee joint motion. The performance and practical potential of the system are evaluated through a quantitative comparison with existing techniques and an analysis of its current limitations.

Indexed as

demodulationfiber Bragg gratingfiber laserknee joint motionoverlap spectrum

Identifiers

PMID42280860
PMCPMC13258822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.