Development of FBG pressure sensors using FDM technique for monitoring sleeping postures

Abro, Zamir Ahmed; Hong, Chengyu; Zhang, Yifan; Siddiqui, Qasim; Abbasi, Abdul Malik Rehan; Abro, Zafarullah; Tariq, Syed Qutaba Bin

doi:10.1016/j.sna.2021.112921

Cited by 27 publications

(15 citation statements)

References 21 publications

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“…[1][2][3] Examples can be found across many research areas, from wearable devices for medical use, [4][5][6][7][8] to healthcare sensors that help improve lifestyle or habits such as exercise and sleep. 9,10 However, several studies have noted that the low conductivity of commercially available carbon black-based polylactic acids (CB-PLA) directly impacts the performance of the sensors. [11][12][13][14] It is possible to partially overcome this problem via additional filament doping or through chemical and electrochemical post-processing that can enhance the electron transfer kinetics of the final sensor surface.…”

Section: Introductionmentioning

confidence: 99%

Integrated multi-material portable 3D-printed platform for electrochemical detection of dopamine and glucose

Domingo-Roca

MacDonald

Hannah

et al. 2022

Analyst

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Section: Introductionmentioning

confidence: 99%

Integrated multi-material portable 3D-printed platform for electrochemical detection of dopamine and glucose

Domingo-Roca

MacDonald

Hannah

et al. 2022

Analyst

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“…Recently, remote monitoring technologies have gained significant interest in different application areas such as mechanical engineering, process industry, structural integrity monitoring, healthcare systems, medical diagnostics , smart textiles etc [7,8]. The main idea behind remote monitoring is the continuous real-time monitoring of a process based on a monitoring station that is stationed many kilometers apart from the sensors [7].…”

Section: Introductionmentioning

confidence: 99%

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

Kanwal,

Atieh,

Ghafoor

et al. 2024

Eng. Res. Express

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

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“…FDM technology has special potential for improving sensor sensitivity owing to its characteristics such as the availability of functional composites and the ability to build feature sizes in an orderly manner at the microscale. [33] TPU is widely used in the field of flexible sensing because of its good flexibility and tensile strength. [34] Based on this, we prepared TPU filaments for the FDM process and added CNT filler to improve the mechanical and electrical conductivity properties of the FDM-printed parts.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D Printing of Carbon Nanotube (CNT)/Thermoplastic Polyurethane (TPU) Functional Composites and Preparation of Highly Sensitive, Wide‐range Detectable, and Flexible Capacitive Sensor Dielectric Layers via Fused Deposition Modeling (FDM)

Yang

Liu

Xiao

et al. 2023

Adv Materials Technologies

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3D printing platform to directly form the desired 3D part. [4][5][6][7] Compared with other 3D printing methods, FDM has the advantages of low cost, simple principle, and high reliability. However, the development of the FDM process is limited by the small variety of available filaments, the poor mechanical properties, and the lack of functionality of the printed parts. [8][9][10] Researchers have mostly focused on the study of FDM process parameters to solve the problems such as the poor mechanical properties of the printed parts. [11,12] Korkut et al. [13] studied the influence of FDM printing process parameters, such as line width, layer thickness, and filler orientation, on the tensile strength and quality of samples. Wang et al. [14] studied the effects of printing parameters such as the FDM nozzle temperature, platform temperature, printing speed and layer thickness on mechanical properties such as tensile strength, flexural strength, and impact strength. Cerda-Avila et al. [15] studied the effects of the filler orientation, layer thickness, and filler morphology on Young's modulus and the ultimate tensile stress of materials. Garzon-Hernandez et al. [16] studied the effects of cavity density and filament orientation on the mechanical properties of samples. Wang et al. [17] studied the influence of printing angle, nozzle temperature, and filling rate materials on mechanical properties. Vicente et al. [18] studied the influence of interlayer cooling time, nozzle diameter, layer thickness, and other parameters on the mechanical properties of FDM processing parts.

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Development of FBG pressure sensors using FDM technique for monitoring sleeping postures

Cited by 27 publications

References 21 publications

Integrated multi-material portable 3D-printed platform for electrochemical detection of dopamine and glucose

Integrated multi-material portable 3D-printed platform for electrochemical detection of dopamine and glucose

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

3D Printing of Carbon Nanotube (CNT)/Thermoplastic Polyurethane (TPU) Functional Composites and Preparation of Highly Sensitive, Wide‐range Detectable, and Flexible Capacitive Sensor Dielectric Layers via Fused Deposition Modeling (FDM)

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