
Nano Trends, Journal Year: 2024, Volume and Issue: unknown, P. 100063 - 100063
Published: Nov. 1, 2024
Language: Английский
Nano Trends, Journal Year: 2024, Volume and Issue: unknown, P. 100063 - 100063
Published: Nov. 1, 2024
Language: Английский
Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 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.
Language: Английский
Citations
5Nano Energy, Journal Year: 2025, Volume and Issue: 138, P. 110828 - 110828
Published: March 1, 2025
Language: Английский
Citations
0Brain‐X, Journal Year: 2025, Volume and Issue: 3(1)
Published: March 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.
Language: Английский
Citations
0Materials Today, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Citations
2Nano Trends, Journal Year: 2024, Volume and Issue: unknown, P. 100063 - 100063
Published: Nov. 1, 2024
Language: Английский
Citations
0