Composites Science and Technology, Journal Year: 2024, Volume and Issue: 258, P. 110860 - 110860
Published: Sept. 11, 2024
Language: Английский
RSC Advances, Journal Year: 2024, Volume and Issue: 14(19), P. 12984 - 13004
Published: Jan. 1, 2024
In recent years, flexible conductive materials have attracted considerable attention for their potential use in energy storage devices, touch panels, sensors, memristors, and other applications.
Language: Английский
Citations
22
Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159835 - 159835
Published: Jan. 1, 2025
Language: Английский
Citations
1
Discover Materials, Journal Year: 2025, Volume and Issue: 5(1)
Published: Feb. 20, 2025
Language: Английский
Citations
1
ACS Applied Polymer Materials, Journal Year: 2024, Volume and Issue: 6(9), P. 5297 - 5307
Published: April 17, 2024
Conductive hydrogels possessing conductivity, flexibility, and biocompatibility have garnered considerable attention in recent years for their applications flexible wearable devices. However, most reported conductive are mainly elastic hydrogel substrates with chemically cross-linked networks, poor shape adaptability, irreversible electromechanical properties after molding, thereby limiting prospective utility electronics. In this study, we fabricate multifunctional lignin-gelatin-polypyrrole (LGP) plasticity, recyclability, strong adhesion, via a straightforward methodology employing gelatin, polypyrrole, sodium lignosulfonate. The resultant LGP is interlinked by dynamic noncovalent bonds, yielding remarkable plasticity could be manipulated hand to fashion diverse shapes. Additionally, the displays substantial adhesion (23.88 kPa pig skin) maintains wide substrates. strain sensor demonstrates high sensitivity (GF = 6.08) rapid response (107 ms), providing stable resistive signal output both large (25–200%) small (1–5%) strains across operating conditions. Moreover, can seamlessly integrated as flexible, facilitate real-time monitoring of human physiological activities.
Language: Английский
Citations
4
MRS Bulletin, Journal Year: 2025, Volume and Issue: unknown
Published: March 4, 2025
Language: Английский
Citations
0
Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 191 - 191
Published: March 17, 2025
Cardiovascular diseases have long been a major challenge to human health, and the treatment differences caused by individual variability remain unresolved. In recent years, personalized cardiovascular drug therapy has attracted widespread attention. This paper reviews strategies for achieving through traditional dynamic monitoring multidimensional data integration analysis. It focuses on key technologies monitoring, based differences, By systematically reviewing relevant literature, main challenges in current research proposed potential directions future studies were summarized.
Language: Английский
Citations
0
Neuroscience Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 100197 - 100197
Published: March 1, 2025
Language: Английский
Citations
0
Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: April 25, 2025
Abstract Cardiovascular diseases (CVDs) remain the leading cause of global mortality, highlighting urgent need for effective monitoring and prevention strategies. The rapid advancement flexible sensing technology development conformal sensors have attracted significant attention due to their potential continuous, real‐time assessment cardiovascular health over extended periods. This review outlines recent advancements in bio‐integrated electronics designed hemodynamic broader CVD healthcare applications. It introduces key physiological indicators relevant hemodynamics, including heart rate, blood pressure, flow velocity, cardiac output. Next, it discusses engineering strategies, such as working principles configuration designs. Various non‐invasive invasive devices these are then presented. Additionally, highlights role artificial intelligence algorithms practical applications detection. Finally, proposes future directions addresses challenges field.
Language: Английский
Citations
0
AIP Advances, Journal Year: 2024, Volume and Issue: 14(3)
Published: March 1, 2024
Lead-based deep brain stimulation (DBS) electrodes have been employed to treat Parkinson’s disease (PD), but their limitations led the development of lead-free piezoelectric nanoparticle-based DBS (LF-PND-DBS). This novel approach utilizes non-invasive biocompatible nanoparticles generate electrical stimulation, offering a promising alternative traditional DBS. In this study, an innovative machine learning (ML)-optimized LF-PND-DBS system for diagnosing and evaluating PD is proposed. By leveraging ML algorithms, optimized design LF-PND parameters derived, ensuring precise personalized treatment delivery. The ML-optimized was evaluated in cohort patients, demonstrating exceptional diagnostic accuracy with sensitivity 99.1% specificity 98.2%. It effectively assessed severity response treatment, providing valuable guidance monitoring. findings highlight immense potential as transformative tool diagnosis evaluation. has enhance efficacy, safety, personalization, paving way improved patient outcomes quality life.
Language: Английский
Citations
3
Applied Materials Today, Journal Year: 2024, Volume and Issue: 39, P. 102342 - 102342
Published: July 26, 2024
Language: Английский
Citations
2