Machine Learning Telerehabilitation
Next-generation online visits. Advanced real-time analysis of movement and posture without any extra sensors. Zero Large Language Models (LLMs), 100% data protection via your preferred encrypted messenger.
Next-generation online visits. Advanced real-time analysis of movement and posture without any extra sensors. Zero Large Language Models (LLMs), 100% data protection via your preferred encrypted messenger.
During the visit, we utilize specialized Machine Learning models (such as YOLOv8) that continuously analyze only the kinematic data from your webcam video feed. The system precisely measures joint mobility without transmitting your voice or image to external servers — we do not use any Large Language Models (LLMs), guaranteeing complete analytical security.
In addition to joint movement, our algorithm dynamically calculates your Center of Gravity (COG) and generates a real-time sway map. This provides the specialist with an immediate preview of your postural stability while maintaining total anonymity and local data processing.
Your data is your property
Our telerehabilitation and physiotherapy sessions take place via End-to-End Encrypted connections. We respect your convenience and privacy, connecting through the secure video messenger of your choice (such as Signal, Telegram, WhatsApp, Session, FaceTime, Google Meet, or Jitsi).
I value patient privacy to such an extent that we entirely bypass unnecessary intermediaries and traditional restrictions. In addition to standard bank transfers, consultation payments are also accepted in cryptocurrencies (e.g., Bitcoin, Monero, USDT), allowing you to preserve full anonymity and independence at every stage — from communication, through therapy, to final settlement.
100 PLN | ~25 USD | ~23 EUR
Settlements are made via standard bank transfer or optionally via a direct cryptocurrency transfer (wallet details provided upon booking).
Simple steps for a secure online consultation
Have questions? Contact us directly: biokineticum@proton.me