Anti-freeze hydrogel-based sensors for intelligent wearable human-machine interaction

Chemical Engineering Journal, Год журнала: 2024, Номер 481, С. 148526 - 148526

Опубликована: Янв. 7, 2024

Язык: Английский

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Conductive nanocomposite hydrogels for flexible wearable sensors

Journal of Materials Chemistry A, Год журнала: 2024, Номер 12(16), С. 9371 - 9399

Опубликована: Янв. 1, 2024

We present a comprehensive review of the recent research advances in field sensors based on hydrogels with nanofillers. The characteristics and design strategies nanofillers are highlighted multiple properties conductive nanocomposite described.

Язык: Английский

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Hydrogel sensors for biomedical electronics

Chemical Engineering Journal, Год журнала: 2023, Номер 481, С. 148317 - 148317

Опубликована: Дек. 23, 2023

Язык: Английский

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Antifreeze protein-based ultrastretchable and highly sensitive hydrogel for human-machine interaction

Chemical Engineering Journal, Год журнала: 2024, Номер 488, С. 150775 - 150775

Опубликована: Март 28, 2024

Язык: Английский

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High sensitivity, wide range and waterproof strain sensor with inner surface sensing layer for motion detection and gesture reconstruction

Sensors and Actuators A Physical, Год журнала: 2024, Номер 369, С. 115202 - 115202

Опубликована: Фев. 22, 2024

Язык: Английский

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Ultrastretchable, Self-Adhesive and conductive MXene nanocomposite hydrogel for body-surface temperature distinguishing and electrophysiological signal monitoring

Chemical Engineering Journal, Год журнала: 2024, Номер 483, С. 149303 - 149303

Опубликована: Фев. 4, 2024

Язык: Английский

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Toward an AI Era: Advances in Electronic Skins

Chemical Reviews, Год журнала: 2024, Номер 124(17), С. 9899 - 9948

Опубликована: Авг. 28, 2024

Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic capabilities of human skin, a multitude flexible/stretchable sensors that detect physiological environmental signals been designed integrated into functional systems. Recently, researchers increasingly deployed machine learning other artificial intelligence (AI) technologies to neural system for processing analysis sensory data collected by e-skins. Integrating AI has potential enable advanced applications robotics, healthcare, human–machine interfaces but also presents challenges such as diversity model robustness. In this review, we first summarize functions features e-skins, followed feature extraction different models. Next, discuss utilization design e-skin address key topic implementation e-skins accomplish range tasks. Subsequently, explore hardware-layer in-skin before concluding with an opportunities various aspects AI-enabled

Язык: Английский

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An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers

npj Flexible Electronics, Год журнала: 2024, Номер 8(1)

Опубликована: Июнь 13, 2024

Abstract The precise, simultaneous, and rapid detection of essential biomarkers in human tears is imperative for monitoring both ocular systemic health. utilization a wearable colorimetric biochemical sensor exhibits potential achieving swift concurrent pivotal tears. Nevertheless, challenges arise the collection, interpretation, sharing data from sensor, thereby restricting practical implementation this technology. To overcome these challenges, research introduces an artificial intelligence-assisted microfluidic system (AI-WMCS) rapid, non-invasive, simultaneous key tears, including vitamin C, H + (pH), Ca 2+ , proteins. consists flexible epidermal patch that collects facilitates reaction, deep-learning neural network-based cloud server analysis (CSDAS) embedded smartphone enabling color acquisition, auto-correction, display. enhance accuracy, well-trained multichannel convolutional recurrent network (CNN-GRU) corrects errors interpreted concentration caused by varying pH temperature different measurements. test set determination coefficients (R 2 ) 1D-CNN-GRU predicting 3D-CNN-GRU other three were as high 0.998 0.994, respectively. This correction significantly improves accuracy predicted concentration, accurate, quick four critical tear using only minute amounts ( ~ 20 μL). demonstrates powerful integration biosensor algorithm, which holds immense to revolutionize fields health monitoring.

Язык: Английский

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Hexagonal boron nitride composite film based triboelectric nanogenerator for energy harvesting and machine learning assisted handwriting recognition

Nano Energy, Год журнала: 2025, Номер unknown, С. 110689 - 110689

Опубликована: Янв. 1, 2025

Язык: Английский

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Facile fabrication of biomimetic and conductive hydrogels with robust mechanical properties and 3D printability for wearable strain sensors in wireless human-machine interfaces

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 161112 - 161112

Опубликована: Фев. 1, 2025

Язык: Английский

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