Personalized Gait Rehabilitation with Spinal Cord Stimulation and Machine Learning: Recent Advances and Promising Applications

K North, ST Jones, GM Simpson… - Current Opinion in …, 2025 - Elsevier
Lumbosacral spinal cord stimulation shows promise in restoring walking after spinal cord
injury. This review discusses recently developed machine learning approaches to provide …

Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review

Y Yao, D Shao, M Tarabini, SA Moezi, K Li… - Micromachines, 2024 - mdpi.com
Lower-limb rehabilitation exoskeletons offer a transformative approach to enhancing
recovery in patients with movement disorders affecting the lower extremities. This …

Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control

P Faridi - 2023 - era.library.ualberta.ca
The overall goal of this work was to design an intelligent method to reduce the cognitive and
physical burdens associated with walking using lower-limb exoskeletons after paralysis …

Research on exoskeleton compliance control strategy based on dual interaction torque split phase control method

L Liao, G Zhang, M Hu - Technology and Health Care, 2024 - content.iospress.com
BACKGROUND: Human gait pattern recognition and compliance control are key
technologies for achieving high coordination and assistance between exoskeleton robots …

[PDF][PDF] Learning to Partner: Exploring Real-Time Adaptive Feedback via Temporal-Difference Machine Learning for Improved Human-Prosthesis Collaboration

ASR Parker - 2024 - era.library.ualberta.ca
Modern myoelectric artificial limbs are sophisticated devices with many of the degrees of
freedom of biological limbs. These devices have great potential to provide function for …

[인용][C] Control of Lower-Limb Exoskeleton Stability Using Reinforcement Learning and Ankle Strategy

T Schmidt