Massachusetts Eye and Ear Infirmary

Faisal Karmali

Daniel Merfeld

Csilla Haburcakova

Adrian Priesol

Shomesh Ernesto Chaudhuri

Richard Lewis

Koeun Lim

The methods, systems, and computer program products described herein enable the amount of information that can be acquired during a defined period of vestibular testing to be significantly increased while also significantly reducing the time required to collect data during such vestibular testing. These objects are achieved by intelligent data collection methods and systems configured to adaptively control a motion platform in a way that increases the amount of information gleaned from each data collection event and to achieve synergies based on the different types of, and the order of, data analysis and calibration methods used.

Data collection for vestibulogram construction

A method for predicting whether a patient is afflicted by a vestibular disorder includes assaying vestibular noise; identifying a characteristic of the vestibular noise; and at least in part on the basis of the characteristic of the vestibular noise, providing information for predicting that a patient has a vestibular disorder.

Detection of vestibular disorders based on vestibular noise

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Cambridge, MA, United States of America

Faisal Karmali