3D copper telluride morphological leaf structure based triboelectric nanogenerator for wearable sensing DOI Creative Commons
Muhammad Umair Khan, Sumayya M. Ansari, Haila M. Aldosari

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100976 - 100976

Published: March 1, 2025

Language: Английский

Recent advances in nanogenerators for wearable electronic devices DOI Creative Commons

Daniel Manaye Tiruneh,

Hanjun Ryu

Published: March 1, 2025

The advancement of triboelectric nanogenerators (TENGs) and piezoelectric (PENGs) have impacted different fields emerging technological applications by changing wasted mechanical energy into useful electrical energy. Specifically, TENGs PENGs contribute as a power source for applications, such health fitness real-time monitoring therapeutic interventions flexible smart fabric wearable devices variety also to intelligent transportation security including vehicle safety systems IoT-based feedback alerts. Furthermore, it highlights environmental air quality purification. This Review introduces recent advancements in TENGs, PENGs, hybrid NGs introducing structural designs, working mechanisms, device materials, output power, diverse applications. With the growth miniaturization material discipline, offer innovative solutions sustainability off-grid electronics. Future research should emphasize increasing conversion efficiencies, durability, washability facilitate self-powered

Language: Английский

Citations

1

Efficient energy harvesting using triboelectric nanogenerators (TENGs): Integration with technologies, wearable applications, and future trends DOI
Seyed Mohammad Vahidhosseini, Saman Rashidi, M.H. Ehsani

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 216, P. 115662 - 115662

Published: April 2, 2025

Language: Английский

Citations

1

Natural polysaccharides-based smart sensors for health monitoring, diagnosis and rehabilitation: A review DOI
Na Li, Yu Xiao, Da‐Peng Yang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 304, P. 140966 - 140966

Published: Feb. 12, 2025

Language: Английский

Citations

0

Hybrid AI‐Driven Bio‐Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments DOI Open Access

J. Poongodi,

K Kavitha,

S. Sathish

et al.

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(3)

Published: Feb. 28, 2025

ABSTRACT AquaSense AI is a bio‐inspired, wearable sensor system that enables paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, posture on land water. perfect for application swimming pools hydrotherapy sessions. delivers real‐time, high‐precision feedback enable effective rehabilitation, fall prevention, fitness monitoring. In Under water, these follow person's the coordination their limbs through detection pressure changes, while land, they monitor gait, posture, balance. The sophisticated algorithms within system, including Hierarchical Adaptive Neural Network (HANN) Multimodal Self‐Learning Framework, adjust sensitivity environment provide personalized over time, continuously adapting movements rehabilitation progress user. bio‐inspired design, adaptive AI, real‐time predictive analytics can dual functionality at clinical applications, improving safety, outcomes, general health monitoring diverse environments.

Language: Английский

Citations

0

A Bifunctional Organic Hydrogel‐Based Standalone Self‐Powered Hybrid Strain Sensor Band for Rehabilitation Monitoring and Human–Machine Interfacing DOI Open Access
Shital Sharma, Gagan Bahadur Pradhan, Trilochan Bhatta

et al.

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

Published: March 16, 2025

Abstract Triboelectric nanogenerators (TENG) are widely adopted as self‐powered strain sensors in wearable applications. However, the reported designs limited to achieving fully standalone and stretchable all‐directional capable of generating voltage signals during stretching‐releasing operations. Herein, bifunctional (conductive tribopositive) property highly shape‐adaptable organic hydrogel (BOH) is investigated develop (SPSS) having directional omnidirectional features. The tribopositive BOH verified through surface potential analyzer (0.25 kV) Fourier‐transform Infrared Spectroscopy (FTIR). While pairing with Ecoflex, demonstrates comparable performance (peak power 0.522 mW at 18 MΩ) commercially available positive materials. Therefore, strategically patterned encapsulated within Ecoflex realize SPSSs. This strategy allows multiple instances internal contact separation between pairs while stretching, owing their elastic modulus differences. developed SPSSs attached various body parts for monitoring high‐range linear‐rotatory joint movements low‐range verbal exercises several rehabilitation activities without skin‐induced triboelectrification. Finally, a hybridized SPSS‐integrated smart band demonstrated multipurpose real‐time applications such interactive rehabilitation, grip strength monitoring, human–machine interfacing (HMI), highlighting its next‐generation electronics.

Language: Английский

Citations

0

A Droplet‐Solid‐Mode Triboelectric Foot Sensor Array for Monitoring Rehabilitation Training DOI Open Access
Lidian Chen, Hui Meng, Weiming Qian

et al.

physica status solidi (a), Journal Year: 2025, Volume and Issue: unknown

Published: March 23, 2025

Gait tracking plays a crucial role in postoperative rehabilitation training by facilitating the assessment of recovery progress and ensuring timely interventions to improve outcomes. Herein, flexible wearable droplet‐solid‐mode triboelectric foot sensor (DTFS) array is reported for monitoring training. The conventional solid–solid contact interface replaced with solid–liquid interface, avoiding material wear degradation output. Additionally, three interconnected DTFS cells are integrally molded using 3D printing technology. Results demonstrate that DTFS's output voltage amplitude varies applied frequency acceleration, providing reliable stable responses external stimuli. When attached heel an insole, array, its compact design configuration, produces distinct electrical signals under different gaits enhanced data collection efficiency. Using artificial intelligence algorithms analysis, system enables real‐time automated gait high recognition accuracy exceeding 96%. This innovative solution holds promise continuous tracking, supports doctors’ decision‐making data‐driven insights, paves way patients’ home healthcare through integration wireless transmission systems near future.

Language: Английский

Citations

0

Multi-Level Hemisphere Structural Flexible Pressure Sensor for Epidermal Pulse Monitoring DOI
Zhiming Lin,

Mingjun Zou,

Shijin Nie

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

3D copper telluride morphological leaf structure based triboelectric nanogenerator for wearable sensing DOI Creative Commons
Muhammad Umair Khan, Sumayya M. Ansari, Haila M. Aldosari

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100976 - 100976

Published: March 1, 2025

Language: Английский

Citations

0