Printed-Scalable Microstructure BaTiO3/Ecoflex Nanocomposite for High-Performance Triboelectric Nanogenerators and Self-Powered Human-Machine Interaction

Nano Energy, Journal Year: 2024, Volume and Issue: unknown, P. 110324 - 110324

Published: Oct. 1, 2024

Language: Английский

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A molybdenum-disulfide nanocomposite film-based stretchable triboelectric nanogenerator for wearable biomechanical energy harvesting and self-powered human motion monitoring

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 491, P. 151980 - 151980

Published: May 6, 2024

Language: Английский

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Movement Disorders and Smart Wrist Devices: A Comprehensive Study

Sensors, Journal Year: 2025, Volume and Issue: 25(1), P. 266 - 266

Published: Jan. 5, 2025

In the medical field, there are several very different movement disorders, such as tremors, Parkinson’s disease, or Huntington’s disease. A wide range of motor and non-motor symptoms characterizes them. It is evident that in modern era, use smart wrist devices, smartwatches, wristbands, bracelets spreading among all categories people. This diffusion justified by limited costs, ease use, less invasiveness (and consequently greater acceptability) than other types sensors used for health status monitoring. systematic review aims to synthesize research studies using devices a specific class disorders. Following PRISMA-S guidelines, 130 were selected analyzed. For each study, information provided relating smartwatch/wristband/bracelet model (whether it commercial not), number end-users involved experimentation stage, finally characteristics benchmark dataset possibly testing. Moreover, some articles also reported type raw data extracted from device, implemented designed algorithmic pipeline, classification methodology. turned out most have been published last ten years, showing growing interest scientific community. The mainly investigate relationship between Epilepsy seizure detection topics interest, while few papers analyzing gait Disease, ataxia, Tourette Syndrome. However, results this highlight difficulties still present identified despite advantages these technologies could bring dissemination low-cost solutions usable directly within living environments without need caregivers personnel.

Language: Английский

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Real-time data visual monitoring of triboelectric nanogenerators enabled by Deep learning

Nano Energy, Journal Year: 2024, Volume and Issue: 130, P. 110186 - 110186

Published: Aug. 27, 2024

Language: Английский

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Skin-inspired interlocked microstructures with soft-hard synergistic effect for high-sensitivity and wide-linear-range pressure sensing

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154083 - 154083

Published: July 17, 2024

Language: Английский

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Recent advances in flexible sensors: From sensing materials to detection modes

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118027 - 118027

Published: Oct. 1, 2024

Language: Английский

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Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered Sensing Systems

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(2), P. 165 - 165

Published: Jan. 12, 2024

The advancement of the Internet Things (IoT) has increased demand for large-scale intelligent sensing systems. periodic replacement power sources ubiquitous systems leads to significant resource waste and environmental pollution. Human staffing costs associated with also increase economic burden. triboelectric nanogenerators (TENGs) provide both an energy harvesting scheme possibility self-powered sensing. Based on contact electrification from different materials, TENGs a rich material selection collect complex diverse data. As data collected by become increasingly numerous complex, approaches machine learning (ML) deep (DL) algorithms have been proposed efficiently process output signals. In this paper, latest advances in ML assisting solid-solid TENG liquid-solid sensors are reviewed based sample size complexity pros cons various analyzed application scenarios presented. prospects synergizing hardware (TENG sensors) software (ML algorithms) environment their main challenges future developments discussed.

Language: Английский

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Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions

Informatics, Journal Year: 2024, Volume and Issue: 11(3), P. 47 - 47

Published: July 16, 2024

In recent years, the Internet of medical things (IoMT) has become a significant technological advancement in healthcare sector. This systematic review aims to identify and summarize various applications, key challenges, proposed technical solutions within this domain, based on comprehensive analysis existing literature. highlights diverse applications IoMT, including mobile health (mHealth) remote biomarker detection, hybrid RFID-IoT for scrub distribution operating rooms, IoT-based disease prediction using machine learning, efficient sharing personal records through searchable symmetric encryption, blockchain, IPFS. Other notable include management systems, non-invasive real-time blood glucose measurement devices, distributed ledger technology (DLT) platforms, ultra-wideband (UWB) radar pulse oximeters, accident emergency informatics (A&EI), integrated wearable smart patches. The challenges identified privacy protection, sustainable power sources, sensor intelligence, human adaptation sensors, data speed, device reliability, storage efficiency. mitigations encompass network control, cryptography, edge-fog computing, alongside rigorous risk planning. also identifies trends advancements IoMT architecture, monitoring innovations, integration learning AI, enhanced security measures. makes several novel contributions compared literature, (1) categorization extending beyond traditional use cases emerging technologies such as UWB systems DLT platforms; (2) an in-depth AI highlighting innovative approaches monitoring; (3) detailed examination measures, proposing advanced cryptographic blockchain implementations enhance protection; (4) identification future research directions, providing roadmap addressing current limitations advancing scientific understanding healthcare. By suggesting work advance

Language: Английский

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Multifunctional Sensors Made with Conductive Microframework and Biomass Hydrogel for Detecting Packaging Pressure and Food Freshness

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(8), P. 10785 - 10794

Published: Feb. 15, 2024

Food packaging detection devices have attracted attention to optimize storage situations and reduce food spoilage. However, low-cost highly sensitive multifunctional sensors for detecting both freshness pressure are still lacking. In this study, a sensor was developed consisting of MXene coated alcohol-soluble polyurethane fiber network (MXene/APU) composite biohydrogel films made konjac glucomannan, chitosan, blueberry anthocyanin (KCB). Based on the sensitivity MXene/APU color changes KCB in response pH values, can detect internal package bulging, external squeezing, deterioration. The shows 1.16 kPa–1, time 200 ms, wide strain range 1092%, stability over multiple loops. could human motion identify surface morphologies. excellent performance attributed porous structure large specific area microfiber networks, conductivity nanosheets, protective effect conductive membrane. Besides, microfluidic blow-spinning method used prepare networks showed advantages low energy consumption high production efficiency. loaded pH, realized spoilage containing protein. This study provides new sensing device greater understanding optimization application related devices.

Language: Английский

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Artificial intelligence motivated flexible single-electrode mode multilayer triboelectric sensor for smart mobility systems

Nano Energy, Journal Year: 2024, Volume and Issue: 125, P. 109515 - 109515

Published: March 16, 2024

Language: Английский

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