Real-time multi-agent systems for telerehabilitation scenarios

Area of Science:

• Gerontology
• Rehabilitation Medicine
• Computer Science

Background:

• Telerehabilitation is crucial for older adults in home environments, offering advantages over traditional settings.
• Expert consensus highlights the need for advanced technologies to support remote physical therapy.
• Current telerehabilitation practices face limitations that necessitate further technological development.

Purpose of the Study:

• To gather expert insights on telerehabilitation requirements, techniques, and challenges.
• To systematically review existing technologies and their suitability for remote patient care.
• To identify opportunities for enhancing telerehabilitation through advanced technological solutions, particularly multi-agent systems.

Main Methods:

• Conducted a focus group with physiotherapy and telerehabilitation experts.
• Performed a systematic review of state-of-the-art telerehabilitation technologies.
• Analyzed agent-based approaches, including wearable sensors and multi-agent systems (MAS).

Main Results:

• Identified key areas for rehabilitation, common environments, and parameters for older adults.
• Evaluated technologies like video analysis, wearables, robotics, and gamification.
• Highlighted the potential of multi-agent systems (MAS) for real-time feedback and coaching in cyber-physical scenarios.

Conclusions:

• Expert insights and technology reviews suggest a need for enhanced MAS in wearable solutions for telerehabilitation.
• Addressing timing constraints, resource scarcity, and communication is vital for real-time compliance in remote therapy.
• Future research should focus on integrating MAS features into wearable devices for safer and more effective telerehabilitation.