Wireless Battery-free and Fully Implantable Organ Interfaces

A Bhatia, J Hanna, T Stuart, KA Kasper… - Chemical …, 2024 - ACS Publications
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-
free power supplies are resulting in a new generation of fully implantable organ interfaces …

Evolution, biomechanics, and neurobiology converge to explain selective finger motor control

J Xu, F Mawase, MH Schieber - Physiological Reviews, 2024 - journals.physiology.org
Humans use their fingers to perform a variety of tasks, from simple grasping to manipulating
objects, to typing and playing musical instruments, a variety wider than any other species …

[PDF][PDF] Artificial intelligence-assisted repair of peripheral nerve injury: a new research hotspot and associated challenges

Y Guo, L Sun, W Zhong, N Zhang… - Neural Regeneration …, 2023 - journals.lww.com
Artificial intelligence can be indirectly applied to the repair of peripheral nerve injury.
Specifically, it can be used to analyze and process data regarding peripheral nerve injury …

Robust decoding of upper-limb movement direction under cognitive distraction with invariant patterns in embedding manifold

B Peng, L Bi, Z Wang, AG Feleke… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motor brain-computer interfaces (BCIs) have gained growing research interest in motor
rehabilitation, restoration, and prostheses control. Decoding upper-limb movement direction …

Improving bionic limb control through reinforcement learning in an interactive game environment

K Freitag, R Laezza, J Zbinden, M Ortiz-Catalan - 2023 - openreview.net
Enhancing the accuracy and robustness of bionic limb controllers that decode motor intent is
a pressing challenge in the field of prosthetics. State-of-the-art research has mostly focused …

Transforming medicine: artificial intelligence integration in the peripheral nervous system

Y Qian, A Alhaskawi, Y Dong, J Ni, S Abdalbary… - Frontiers in …, 2024 - frontiersin.org
In recent years, artificial intelligence (AI) has undergone remarkable advancements, exerting
a significant influence across a multitude of fields. One area that has particularly garnered …

Prediction of Hippocampal Signals in Mice Using a Deep Learning Approach for Neurohybrid Technology Applications

AV Lebedeva, MI Samburova, VV Razin, NV Gromov… - Algorithms, 2024 - mdpi.com
The increasing growth in knowledge about the functioning of the nervous system of
mammals and humans, as well as the significant neuromorphic technology developments in …

Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis

G Tao, S Yang, J Xu, L Wang, B Yang - Frontiers in Neurology, 2024 - frontiersin.org
Background Artificial intelligence (AI) technology has made breakthroughs in spinal cord
neural injury and restoration in recent years. It has a positive impact on clinical treatment …

Performance Analysis of Nature-Inspired Optimization Algorithms for Chronic Disease Prediction

P Yadav, N Arora, SC Sharma - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Chronic Diseases have spread speedily over the last one and a half decades; these life-
threatening chronic diseases have a significantly higher rate of morbidity and fatality. Illness …

人工智能在脊髓神经损伤与修复领域研究热点的可视化分析

杨彬, 陶广义, 杨顺, 许俊杰, 黄俊卿 - 中国组织工程研究, 2025 - cjter.com
人工智能在脊髓神经损伤与修复领域研究热点的可视化分析 Page 1 Chinese Journal of Tissue
Engineering Research|Vol 29|No.4|February 2025|761 中国组织工程研究 Chinese Journal of …