Neodymium Doped Zinc Oxide Based Advanced Flexible Piezoelectric Energy Harvester and Self-powered Biomotion Sensor DOI Creative Commons
Muhtasim Ul Karim Sadaf,

Abu Musa Abdullah,

Haimanti Majumder

и другие.

Nano Trends, Год журнала: 2024, Номер unknown, С. 100063 - 100063

Опубликована: Ноя. 1, 2024

Язык: Английский

Artificial Intelligence Assisted Nanogenerator Applications DOI
Shumao Xu,

Farid Manshaii,

Xiao Xiao

и другие.

Journal of Materials Chemistry A, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

This review examines the integration of artificial intelligence with nanogenerators to develop self-powered, adaptive systems for applications in robotics, wearables, and environmental monitoring.

Язык: Английский

Процитировано

5

Instantaneous Piezoelectric Nanogenerator for Pacemaker Applications DOI
Derui Wang, Wenjian Liu, Long Gu

и другие.

Nano Energy, Год журнала: 2025, Номер 138, С. 110828 - 110828

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Advances in brain computer interface for amyotrophic lateral sclerosis communication DOI Creative Commons
Yuchun Wang, Yuee Tang, Qianfeng Wang

и другие.

Brain‐X, Год журнала: 2025, Номер 3(1)

Опубликована: Март 1, 2025

Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that often results in the loss of speech, creating significant communication barriers. Brain–computer interfaces (BCIs) provide transformative solution for restoring and enhancing quality life ALS individuals. Recent advances implantable electrocorticographic systems have demonstrated feasibility synthesizing intelligible speech directly from neural activity. By recording high‐resolution signals motor, premotor, somatosensory cortices with decoding algorithms, these can transform patterns into acoustic features providing natural intuitive pathways Non‐invasive electroencephalography, while lacking spatial resolution systems, offers safer alternative high temporal capturing speech‐related dynamics. When combined robust feature extraction techniques, such as common pattern time‐frequency analyses, well multimodal integration functional near‐infrared spectroscopy or electromyography, it effectively enhances accuracy system robustness. Despite progress, challenges remain, including user variability, BCI illiteracy, impact fatigue on performance. Personalized models, adaptive secure frameworks brain data privacy are essential addressing limitations, enabling BCIs to enhance accessibility reliability. Advancing technologies methodologies holds immense promise independence bridging gap individuals ALS. Future research could focus long‐term clinical studies evaluate stability effectiveness development more unobtrusive paradigms.

Язык: Английский

Процитировано

0

ZnO nanowire UV photodetectors: At the intersection of flexibility, biocompatibility, and visible blindness DOI
Jamal Kazmi, Aumber Abbas, David James Young

и другие.

Materials Today, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

Neodymium Doped Zinc Oxide Based Advanced Flexible Piezoelectric Energy Harvester and Self-powered Biomotion Sensor DOI Creative Commons
Muhtasim Ul Karim Sadaf,

Abu Musa Abdullah,

Haimanti Majumder

и другие.

Nano Trends, Год журнала: 2024, Номер unknown, С. 100063 - 100063

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0