Robotic Maneuver System (RMS)

The repositioning maneuvers used to treat BPPV — the most common cause of vertigo — depend on the clinician's experience when performed by hand, and their reproducibility is low, especially in complex multi-canal cases.

The Robotic Maneuver Chair (RMS) performs these maneuvers fully automatically, with millimetric precision and at a safe speed.

In the clinical study conducted at Haseki Training and Research Hospital, RMS achieved a 93.9% objective success rate, outperforming manual maneuvers (85.7%), while increasing patient comfort and removing operator dependency.

Interpreting recorded nystagmus images is time-consuming and can vary between observers.

The AI System analyzes the eye-movement and balance data from NystaVision in real time, automatically recognizing and classifying nystagmus patterns.

It thus gives the clinician an objective, reproducible pre-assessment aligned with international guidelines within seconds, accelerating the decision-making process.

Choosing the correct treatment protocol after diagnosis requires evaluating different data together.

The Decision Support System (DSS) combines data from Videofrenzel and AI analysis to recommend the most suitable treatment path for the patient.

Thanks to its fuzzy-logic-based infrastructure and alignment with international guidelines, it supports consistent and reliable clinical decisions, particularly by reducing variability caused by differences in experience.