| Bridging Brain-Computer Interfaces and Soft Exoskeletons: A Biomechanical Digital Twin Framework for Closed-Loop Rehabilitation |
| کد مقاله : 1365-ISME2026 |
| نویسندگان |
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Mohammad Mahdi Habibi *1، Mohammad Hassan Moradi2 1Iran University of Science and Technology (IUST) 2Faculty of Engineering, Department of Electrical Engineering, Bu-Ali Sina University, Hamadan, Iran |
| چکیده مقاله |
| Current robotic rehabilitation for Spinal Cord Injury (SCI) is hindered by a critical disconnection between neural intent and physical actuation, often resulting in passive, non-adaptive therapies. To address this, we propose a Symbiotic Cyber-Physical System (SCPS) that integrates Brain-Computer Interfaces (BCIs), Soft Robotics, and Digital Twins into a unified closed-loop framework. In this architecture, a Biomechanical Digital Twin acts as a predictive orchestrator. High-density EEG signals are decoded via a Transformer-based model to extract motor intent, which is then simulated by the Digital Twin to verify safety and muscle fatigue dynamics in real-time before driving a transparent Soft Exoskeleton. By closing the sensorimotor loop through artificial haptic feedback, this "Digital-Twin-in-the-Loop" paradigm overcomes the latency and safety limitations of rigid systems. We conclude by outlining a roadmap toward "Neuro-Digital Twins," positioning this framework as a foundation for future predictive and restorative neuro-rehabilitation. |
| کلیدواژه ها |
| Digital Twin, Brain-Computer Interface, Soft Robotics, Deep Learning, Spinal Cord Injury, Cyber-Physical Systems. |
| وضعیت: پذیرفته شده برای ارائه شفاهی |