Human–Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace DOI Open Access
Xiangying Zhao, Shunan Zhang, Dongyan Nan

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(23), P. 2467 - 2467

Published: Dec. 6, 2024

Studies on the application and exploration of human-computer interaction (HCI) technologies within healthcare sector have rapidly expanded, showcasing immense potential HCI to enhance medical services, elevate patient experiences, advance health management. Despite this proliferating interest, there is a notable shortage comprehensive bibliometric analyses dedicated in healthcare, which limits thorough comprehension growth trends future trajectories area.

Language: Английский

Great Carbon Nano Materials based Composites for Electronic Skin: Intelligent Sensing, and Self-Powered Nano Generators DOI
Vineet Kumar, Nargish Parvin, Sang Woo Joo

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110805 - 110805

Published: Feb. 1, 2025

Language: Английский

Citations

2

Bioinspired Intelligent Electronic Skin for Medicine and Healthcare DOI Open Access
Zhirong Liu,

Junhao Hu,

Guozhen Shen

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Abstract Intelligent electronic skin aims to mimic, enhance, and even surpass the functions of biological skin, enabling artificial systems sense environmental stimuli interact more naturally with humans. In healthcare, intelligent is revolutionizing diagnostics personalized medicine by detecting early signs diseases programming exogenous for timely intervention on‐demand treatment. This review discusses latest progress in bioinspired its application healthcare. First, strategies development simulate or human are discussed, focusing on basic characteristics, as well sensing regulating functions. Then, applications health monitoring wearable therapies illustrating potential provide warning Finally, significance bridging gap between emphasized challenges future perspectives summarized.

Language: Английский

Citations

0

Recent progress of biosensors based on thermoelectric effects for monitoring physical activity and environment monitoring DOI Open Access

Xiao-Jie Tang,

Cai Qi,

Qiang Sun

et al.

Soft Science, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 13, 2025

Thermoelectric (TE) materials and sensors have emerged as a frontier in health environmental monitoring, offering silent, simple, reliable alternative to traditional power generation methods by harnessing waste heat into usable electrical energy. They also offer superior stability longevity, making them ideal for long-term monitoring applications. Furthermore, when compared other self-powered biosensors, TE excel their ability operate wide range of temperatures conditions, providing more consistent source sensor operation. This review delves the recent advancements TE-based sensors, highlighting multifunctional capabilities real-time sensing. We explore fundamental principles conversion, including Seebeck effect, assess performance metric, specifically figure-of-merit (ZT ). The integration with flexible wearable electronics is discussed, emphasizing high efficiency mechanical robustness. Applications devices internet things (IoT)-integrated systems are underscored, particularly fire detection personal monitoring. Challenges material limitations, miniaturization, scalability addressed, focus on future research directions enhance sustainability longevity sensors. provides comprehensive overview development technology its trajectory, importance ongoing address current challenges realize these innovative devices.

Language: Английский

Citations

0

Recent Research Trends for Developing Highly Sensitive, Flexible Organic Field-Effect Transistor-Based Gas Sensors DOI

In Hwa Ko,

Yeong Don Park

ACS Applied Polymer Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

Citations

0

Deep-Learning-Based Analysis of Electronic Skin Sensing Data DOI Creative Commons

Yu-Chen Guo,

Xidi Sun,

Lulu Li

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1615 - 1615

Published: March 6, 2025

E-skin is an integrated electronic system that can mimic the perceptual ability of human skin. Traditional analysis methods struggle to handle complex e-skin data, which include time series and multiple patterns, especially when dealing with intricate signals real-time responses. Recently, deep learning techniques, such as convolutional neural network, recurrent transformer methods, provide effective solutions automatically extract data features recognize significantly improving data. Deep not only capable handling multimodal but also response personalized predictions in dynamic environments. Nevertheless, problems insufficient annotation high demand for computational resources still limit application e-skin. Optimizing algorithms, efficiency, exploring hardware-algorithm co-designing will be key future development. This review aims present techniques applied inspiration subsequent researchers. We first summarize sources characteristics models applicable their applications analysis. Additionally, we discuss use e-skin, particularly health monitoring human-machine interactions, explore current challenges development directions.

Language: Английский

Citations

0

Human–Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace DOI Open Access
Xiangying Zhao, Shunan Zhang, Dongyan Nan

et al.

Healthcare, Journal Year: 2024, Volume and Issue: 12(23), P. 2467 - 2467

Published: Dec. 6, 2024

Studies on the application and exploration of human-computer interaction (HCI) technologies within healthcare sector have rapidly expanded, showcasing immense potential HCI to enhance medical services, elevate patient experiences, advance health management. Despite this proliferating interest, there is a notable shortage comprehensive bibliometric analyses dedicated in healthcare, which limits thorough comprehension growth trends future trajectories area.

Language: Английский

Citations

0