VITA325
VITA325 is an AI-powered mobile rehabilitation platform that transforms any smartphone into an intelligent movement diagnostics tool designed for people with lower limb amputations.
Challenge
Rehabilitation after lower limb amputation often requires frequent clinic visits, specialized hardware, and manual assessment methods that are:
- Inconvenient and costly for patients,
- Lacking real-time, objective data, and
- Hard to scale or monitor remotely.
As a result, many patients struggle with lingering gait problems, asymmetries, and pain long after discharge, while clinicians lack continuous, data-driven insights into daily progress outside clinical settings.
Solution
VITA325 addresses these challenges by turning a smartphone into a smart rehab hub:
- Users go through guided movement and gait tasks using the phone’s camera and motion sensors.
- AI and computer vision analyze gait patterns, symmetry, posture, and balance, generating objective movement metrics.
- The platform offers personalized rehabilitation insights and physiotherapy plans based on this data.
- Clinicians receive automated reports and remote monitoring tools to tailor therapy plans and track improvements over time.
This approach eliminates the need for external hardware, expands access to meaningful rehab outside clinics, and provides both users and healthcare providers with reliable, actionable outcomes.
The result
For Users
- More accessible and continuous rehabilitation at home.
- Immediate insights into walking patterns and areas needing improvement.
- Higher confidence and motivation through objective progress tracking.
For Clinicians & Healthcare Providers
- Rich, data-driven reports that improve diagnosis and therapy decisions.
- Remote monitoring capabilities that extend care beyond the clinic.
- Enhanced ability to personalize treatment and improve long-term mobility outcomes.
This results in faster, more informed recovery paths, better patient engagement, and stronger evidence for treatment efficacy.
Technologies
Mobile Camera + Sensor Integration (accelerometer, gyroscope) for movement capture
AI & Machine Learning for gait and motion pattern analysis
Computer Vision to interpret video data and extract biomechanical metrics
Smartphone PPG / Sensor Fusion for dynamic balance and physiological metrics
Project team:
Project Duration:
Work in progress
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