Advances in cardiac sounds monitoring enabled by triboelectric sensors DOI Creative Commons

Xindan Hui,

Hengyu Guo

Nano Trends, Journal Year: 2024, Volume and Issue: 8, P. 100057 - 100057

Published: Nov. 3, 2024

Language: Английский

Advanced sustainable triboelectric nanogenerators for biomedical and clinical applications: In vivo treatments, in vitro therapeutics, and assisted rehabilitations DOI
Yijun Hao, Xiaopeng Zhu,

Keke Hong

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 161042 - 161042

Published: Feb. 1, 2025

Language: Английский

Citations

2

Stretchable, adhesive, conductive hydrogel initiated by liquid metal complex for multi-functional sensing DOI

Yuecong Luo,

Qiannian Yang,

Minzhang Chen

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 153674 - 153674

Published: July 3, 2024

Language: Английский

Citations

10

Design of Double Strains in Triboelectric Nanogenerators toward Improving Human Behavior Monitoring DOI
Yutong Wang, Wenlong Chen, Rui Sheng

et al.

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Triboelectric nanogenerators (TENGs) offer a convenient means to convert mechanical energy from human movement into electricity, exhibiting the application prospects in behavior monitoring. Nevertheless, present methods improve device monitoring effect are limited design of triboelectric material level (control electron gain and loss ability). As compared with reported work, we TENG-based tactile sensors by optimizing structure electrode/triboelectric interface multiple strains mechanism. Cu@Ni double-clad waste woven fabrics used as electrodes, which characterized large number pores formed between fibers, greatly increasing specific surface area electrode generating dynamic strain under differentiated stress fields because their different elastic modulus. To be exact, resin layer undergoes deformation 0.64-4.47 kPa external new generates at induced slip 4.47-63.84 stress, resulting accumulation charges on PDMS surface. The establishment further facilitates generation distinct signal waveforms that easily distinguishable its amplitude peak form. Besides, combined deep machine learning effect, an open setting, identification accuracy five behaviors approaches 100%. This provides pathway for enhancing sensor.

Language: Английский

Citations

1

Enhancing polyimide hybrid functionality through optimized alkaline hydrolysis modification DOI
Gia Huy Tran, Quang Binh Nguyen, Cham Thi Trinh

et al.

Journal of Polymer Research, Journal Year: 2025, Volume and Issue: 32(4)

Published: April 1, 2025

Language: Английский

Citations

0

Flexible Pressure Sensors Enhanced by 3D‐Printed Microstructures DOI
Yuan Jin, Shaohua Xue, Yong He

et al.

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

Published: April 18, 2025

Abstract 3D printing has revolutionized the development of flexible pressure sensors by enabling precise fabrication diverse microstructures that significantly enhance sensor performance. These advancements have substantially improved key attributes such as sensitivity, response time, and durability, facilitating applications in wearable electronics, robotics, human–machine interfaces. This review provides a comprehensive analysis sensing mechanisms these sensors, emphasizing role microstructures, micro‐patterned, microporous, hierarchical designs, optimizing The advantages techniques, including direct indirect methods, creation complex with high precision adaptability are highlighted. Specific applications, human physiological signal monitoring, motion detection, soft emerging explored to demonstrate versatility sensors. Additionally, this briefly discusses challenges, material compatibility, optimization difficulties, environmental stability, well trends, integration advanced technologies, innovative multidimensional promising avenues for future advancements. By summarizing recent progress identifying opportunities innovation, critical insights into bridging gap between research real‐world helping accelerate evolution sophisticated 3D‐printed microstructures.

Language: Английский

Citations

0

Artificial Intelligence in Dry Eye Disease: A Narrative Review DOI Open Access

Praveena P Nair,

Manjiri Keskar,

Pramod T Borghare

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Dry eye disease (DED) is a multifactorial condition affecting millions worldwide, characterized by discomfort, visual disturbance, and potential damage to the ocular surface. The complexity of its diagnosis management, driven diversity symptoms underlying causes, presents significant challenges clinicians. Artificial intelligence (AI) has emerged as transformative tool in healthcare, offering solutions these through data analysis, pattern recognition, predictive modeling capabilities. This narrative review explores role AI diagnosing, treating, managing dry disease. AI-driven tools such machine learning algorithms, imaging technologies, diagnostic platforms are examined for their ability enhance accuracy, personalize treatment approaches, optimize patient outcomes. Furthermore, addresses limitations technologies ophthalmology, including need robust clinical validation, privacy concerns, ethical considerations integrating into practice. findings suggest that while holds promise improving care patients with DED, ongoing research development crucial realizing full potential.

Language: Английский

Citations

1

Advances in cardiac sounds monitoring enabled by triboelectric sensors DOI Creative Commons

Xindan Hui,

Hengyu Guo

Nano Trends, Journal Year: 2024, Volume and Issue: 8, P. 100057 - 100057

Published: Nov. 3, 2024

Language: Английский

Citations

1