Software-based finger joint range of motion analysis: Current concepts, considerations, and challenges.

Area of Science:

• Orthopedics
• Rehabilitation Technology
• Digital Health

Background:

• Finger and wrist joint range of motion (ROM) measurement is crucial for diagnosing and monitoring hand conditions.
• Technology-based ROM tools, including image analysis and augmented reality (AR), can streamline measurements in various settings.

Purpose of the Study:

• To review current software-based ROM analysis systems for hand pathology.
• To discuss challenges and future directions for integrating these technologies into clinical practice.
• To explore the potential of AI in optimizing ROM measurement and pattern recognition.

Main Methods:

• Review of developer-to-clinician literature on software-based ROM analysis.
• Categorization of systems into image analysis and AR-based applications.
• Discussion of considerations for reliability, validity, accessibility, and regulatory approval.

Main Results:

• Software-based ROM analysis systems are evolving, with opportunities and challenges in open-source development.
• Key considerations include measurement reliability, accessibility, patient-driven data, and regulatory compliance.
• Future developments may involve AI integration and broader adoption in both telerehabilitation and in-person care.

Conclusions:

• Refined software-based motion analysis systems, prioritizing patient and therapist needs, can optimize hand therapy.
• These tools empower patients to actively participate in their own care.
• The integration of advanced technologies promises improved outcomes in hand rehabilitation.