Double-Fishtail-Shaped FBG Wearable Device for Sitting Posture Recognition and Real-Time Respiratory Monitoring

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(7), P. 10164 - 10171

Published: Feb. 22, 2024

Musculoskeletal issues frequently affect individuals who sit for prolonged periods, particularly in work settings. Addressing and preventing these upper body musculoskeletal disorders (UBMDs) requires close monitoring of seated behavior among employees. This study introduces a solution—an adaptable wearable device incorporating three distinct modular devices using fiber Bragg grating (FBG) technology. The FBG array, integrated into polydimethylsiloxane (PDMS)-based double fishtail (DF) design, significantly enhances curvature sensitivity durability. By fine-tuning the length DF silicone, we further optimized sensitivity. Our demonstrates prompt correlation with thoracic spine patterns, validated against motion capture system (MoCap) 10 volunteers as benchmark. Furthermore, it successfully identifies common sitting postures—normal, breast-bearing, hunchbacked—with exceptional accuracy exceeding 96.30%, employing Random Forest Machine Learning methodology. Additionally, this facilitates timely accurate respiratory rate (RR) by time-frequency domain analysis. innovative optical solution showcases its potential variety applications.

Language: Английский

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A 3-D-Printed Wearable Sensor Based on Fiber Bragg Gratings for Shoulder Motion Monitoring

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(10), P. 16145 - 16152

Published: April 8, 2024

Rotator cuff (RC) injury is a common pathology that involves the tearing and weakening of muscles tendons make up RC. Rehabilitation after surgery crucial for recovery restoring range motion (ROM). Currently, assessment patient's improvement relies on subjective evaluations by physicians. To objectively evaluate patient recovery, capture systems (MOCAP) can be used in this scenario. However, MOCAP require extremely structured environments specialists. overcome issue, combined use flexible sensors with 3D printing techniques has been proposed. This solution will allow developing highly performant wearables reduced encumbrance, easy to use, compliant human skin. In study, we exploited advantages fiber Bragg gratings those propose transformative approach field shoulder monitoring. Firstly, 3D-printed sensor was designed fabricated using thermoplastic polyurethane as filament system flexible. One main novelties direct integration anchorage mechanism (two extensible elements) during printing. best our knowledge, one first works which Then, metrologically assessed investigate its sensitivity strain temperature, hysteresis error. Finally, preliminary healthy volunteer proposed assess capability monitoring flexion-extension movements different ROMs movement rates sagittal plane showing promising results.

Language: Английский

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Remote monitoring of sleep disorder using FBG sensors and FSO transmission system enabled smart vest

Engineering Research Express, Journal Year: 2024, Volume and Issue: 6(2), P. 025337 - 025337

Published: May 8, 2024

Abstract Optical sensors, particularly fiber Bragg grating (FBG) sensors have achieved a fast ingress into the fields of medical diagnostic and vital signs monitoring. Wearable smart textiles equipped with FBG are catching huge research attention in different applications for measurement monitoring physiological parameters. In this paper, we report simple technique remote sleep disorder using vest implemented four stress located at sides free space optics (FSO) transmission system. The patient is monitored real time through shifts original wavelengths by loading during random changes patient’s sleeping postures. reflected wavelength from loaded sensor certain posture transmitted over 0.5 km long FSO channel towards center, photodetected, then can be processed PC to record restlessness interval terms total number times postures changed, spent etc. To correctly detect various parameters demultiplexer carefully adjusted minimize power leakages unloaded that may result errors detection. Maximum dynamic range around 45 dB has been ensuring accurate This study not only provides cost-efficient non-intrusive solution patients but also used real-time other ailments, such as lung, brain, cardiac diseases future.

Language: Английский

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Five-Segment THz Refractive Index Metamaterial Biosensor with Perfect Absorption for Carcinoembryonic Antigen Measurement

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(16), P. 25715 - 25723

Published: Aug. 15, 2024

Language: Английский

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CNN-based multiplexed optical fiber sensors for multi-load mapping on 2D structures

Optical Fiber Technology, Journal Year: 2025, Volume and Issue: 93, P. 104231 - 104231

Published: April 20, 2025

Language: Английский

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Human sleep motion recognition based on multi-sensor measurement data fusion

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117746 - 117746

Published: May 1, 2025

Language: Английский

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A Review of Research on the Development of Fibre-Optic Wearable Sensors for Human Health Monitoring

Journal of Sensor Technology and Application, Journal Year: 2024, Volume and Issue: 12(02), P. 228 - 239

Published: Jan. 1, 2024

Language: Английский

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One Raman DTS Interrogator Channel Supports a Dual Separate Path to Realize Spatial Duplexing

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5277 - 5277

Published: Aug. 15, 2024

Deploying distributed fiber-optic sensor (DFOS) technology to gather environmental parameters over expansive areas is an essential monitoring strategy in the context of comprehensive searches for anomalous places. This study utilizes a single temperature measurement channel within commercial Raman-based sensing (RDTS) interrogator and divides it into two separate, uncorrelated paths enable spatial duplex measurements. The distinction between events corresponding each path dual separate (DSP) RDTS can be achieved when are concurrently occurring DSP. Additionally, RDTS–DSP solution may integrate free space optics (FSO) its fiber path, which serves enhance user-friendliness, scalability, cost-effectiveness DFOS technology. An effectively function as DSP, thus doubling pathway, combined with FSO significantly improve performance.

Language: Английский

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Meta-Learning for Boosting the Sensing Quality and Utility of FSO-Based Multichannel FBG Sensor System

IEEE Sensors Journal, Journal Year: 2023, Volume and Issue: 23(24), P. 31506 - 31512

Published: Nov. 13, 2023

In this article, we propose a novel meta-learning approach for improving the sensing quality of free space optics (FSO)-based multichannel fiber Bragg grating (FBG) sensor systems. Since it is difficult and time-consuming to collect large amounts training data using real FBG experiments, proposed can provide opportunities reducing amount needed by learning from previous experience or knowledge. This makes our method suitable scenarios, where collection challenging, limited, expensive. Thus, use solve crosstalk problems accurately predict peak wavelength each ( ${S}_{n}$ ) overlap spectra. The demonstrated results proved that only small target data, adapt more quickly improve central detection performance in system than traditional methods. Besides, FSO addresses costs topological limitations installation cables. Therefore, flexible, faster, cost-effective, adaptable, reduces needed, accuracy

Language: Английский

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An Ultralow-Power PPG Sensor with Adaptive Predictive Sampling

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(9), P. 14137 - 14150

Published: March 21, 2024

Photoplethysmography (PPG) sensors provide precise vital sign measurements. However, conventional PPG signal detection requires continuous light-emitting diodes, resulting in significant power consumption. To cancel DC components, ambient light, and motion artifacts, incorporate processing circuitry. This circuitry is critical to interference, increase dynamic range, improve signal-to-noise ratio, which further increases paper presents a novel sensor that adaptively predicts samples only the peaks valleys (PAVs), i.e., maximum minimum amplitudes, of signal. Using predicted PAVs, extracts signs, including heart rate (HR), HR variability (HRV), oxygen saturation (SpO ₂ ), systolic, diastolic, cardiac cycles, while reducing consumption by over 87%. Our sampling scheme shows low mean absolute error (MAE) 5.76 beats per minute (bpm) when tested on PPG-DaLiA dataset with data from 15 subjects. Moreover, prototype test five subjects, our was used various body parts, finger, wrist, arm, chest, neck, earlobe, forehead, during activities such as walking, typing, sitting. Achieved MAEs are <0.5 bpm for HR, <1% SpO , <3 ms HRV, across all

Language: Английский

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