Integrated surface microstructure and enhanced dielectric constant for constructing simple, low-cost, and high-performance flexible capacitive pressure sensor

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: 376, P. 115629 - 115629

Published: June 24, 2024

Language: Английский

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Flexible Pressure, Humidity, and Temperature Sensors for Human Health Monitoring

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 17, 2024

Abstract The rapid advancements in artificial intelligence, micro‐nano manufacturing, and flexible electronics technology have unleashed unprecedented innovation opportunities for applying sensors healthcare, wearable devices, human–computer interaction. human body's tactile perception involves physical parameters such as pressure, temperature, humidity, all of which play an essential role maintaining health. Inspired by the sensory function skin, many bionic been developed to simulate skin's various stimuli are widely applied health monitoring. Given urgent requirements sensing performance integration field devices monitoring, here is a timely overview recent advances multi‐functional It covers fundamental components categorizes them based on different response mechanisms, including resistive, capacitive, voltage, other types. Specifically, application these area monitoring highlighted. Based this, extended dual/triple‐mode integrating temperature presented. Finally, challenges discussed.

Language: Английский

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Programmable and Scalable Embroidery Textile Resistive Pressure Sensors for Integrated Multifunctional Smart Wearable Systems

Advanced Fiber Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Language: Английский

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Electromechanical performance of flexible sensor based on 3D printed biomimetic all-PDMS-coated multistage structure: Toward kinesiology monitoring and human-machine interaction

Sensors and Actuators A Physical, Journal Year: 2024, Volume and Issue: 369, P. 115193 - 115193

Published: Feb. 17, 2024

Language: Английский

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Fiber/Yarn and Textile-Based Piezoresistive Pressure Sensors

Advanced Fiber Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Language: Английский

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Wearable Devices for Respiratory Monitoring

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: June 10, 2024

Abstract Respiratory diseases are currently monitored through traditional pulmonary function tests, such as spirometry. However, the restrictions of these procedures, particularly in context COVID‐19 pandemic, have underscored need for alternative approaches to respiratory health assessment. Wearable devices emerged a promising solution, providing continuous data collection, and overcoming limitations posed by conventional methods. This review explores multifaceted field wearable monitoring, presenting most common sensing technologies applied ventilation, their constituent materials, fabrication techniques, diverse morphologies enhance sensor performance. The role machine learning algorithms ethical sharing is highlighted, contributing forthcoming patient‐centered healthcare landscape. Ultimately, importance validation calibration protocols underlined. In anticipation evolving needs, this in‐depth study addresses current challenges monitoring while laying robust foundation personalized, connected, ethically sound future care.

Language: Английский

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Flexible and Breathable Piezoresistive Sensors Based on Reduced Graphene Oxide/Silk Fiber/Carbon Cloth Composites for Health Monitoring

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: 7(8), P. 8813 - 8822

Published: April 12, 2024

Flexible electronic devices, particularly wearable piezoresistive sensors, have garnered considerable research attention due to their potential applications in medical diagnosis, human–machine interaction, and motion monitoring. However, it remains a pressing challenge highly demanded for the fabrication of sensors with outstanding sensing performance, breathability, degradability at end life cycle. In this study, we prepared high-performance breathability degradability. These were made reduced graphene oxide/silk fibers (rGO/SFs) as materials carbon cloth (CC) interdigital electrodes. Taking advantage porous structures rGO/SFs composite CC, rGO/SFs/CC sensor demonstrated low detection limit (1 Pa), substantial sensitivity across broad response range (over 500 kPa), rapid (92 ms), quick recovery time (26 ms). Moreover, maintained excellent electromechanical reliability even after undergoing 10,000 loading–unloading cycles. Furthermore, these also exhibited other favorable attributes, including degradability, exceptional capabilities toward various deformations (compression, distortion, bending), stability different loading frequencies temperatures. The successfully served real-time monitoring identification full-scale body motions.

Language: Английский

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Ultralight and High Sensitive CA/TPU/PPy Nanofiber Aerogels with Coaxial Conductive Structure for Wearable Piezoresistive Sensors

Composites Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 111062 - 111062

Published: Jan. 1, 2025

Language: Английский

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A tactile sensor for recognition of softness using interlocking structure of carbon nanoparticle- polydimethylsiloxane composite

Sensors and Actuators Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100289 - 100289

Published: Jan. 1, 2025

Language: Английский

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Reconstruction of the solid–liquid two-phase flow field in the pipeline based on limited pipeline wall information

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

Pipeline hydraulic transportation is the primary method for transporting deep-sea mineral resources and fossil fuels. blockage often causes excessive pressure in pipeline, leading to pipeline breakage or even cargo leakage, which severely impacts safety can easily trigger secondary disasters. Therefore, clarifying global flow field within pipelines, such as particle distribution, crucial monitoring controlling systems. This study uses a limited number of measurable wall sensor values inputs deep learning models reconstruction, with solid–liquid two-phase three-dimensional output. Three model frameworks from existing studies are summarized, their reconstruction effects compared. Based on this, new framework proposed. It expands low-dimensional same size using pseudo-decoder then processes them through an autoencoder. The results indicate that achieves further accuracy improvements compared previous three frameworks, R2 mean squared error reaching 0.933 5.13 ×10−4, respectively. Additionally, skip connection configuration model, dataset size, rate, well arrangement sensors accuracy, investigated. Finally, transferability demonstrated by reconstructing fluid velocity fields flow.

Language: Английский

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