Digital twin rehabilitation system based on self-balancing lower limb exoskeleton

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Digital Twin Applications

Background:

• Digital twin technology, while established in manufacturing, is nascent in medical rehabilitation.
• Existing digital models lack effective patient-device interaction for rehabilitation.
• Gaps exist in integrating digital twins for personalized gait analysis and control.

Purpose of the Study:

• To propose an automatic gait data control system (AGDCS) for lower limb exoskeleton digital twinning.
• To enhance digital twin integration within medical rehabilitation.
• To analyze patient gait data and validate system performance through simulations.

Main Methods:

• Designed and developed an upper computer function module for rehabilitation needs.
• Integrated an exoskeleton robot with the developed software system.
• Simulated patient rehabilitation environments and conducted experimental tests.

Main Results:

• The AGDCS demonstrated high reliability in host computer and exoskeleton robot tests.
• Patient-specific gaits were generated, and exoskeleton motion was observed in real-time.
• The exoskeleton robot successfully executed specified gaits, confirming system effectiveness.

Conclusions:

• The digital twin system significantly improves interaction between exoskeleton robots and patients.
• Enhanced patient autonomy and safety during rehabilitation treatment.
• Validated the superiority and effectiveness of the AGDCS in rehabilitation settings.