Biomarkers Derived from Neurophysiological Computational Modeling
In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.
Researchers
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assessing disorders through speech and a computational model
United States of America | Granted | 10,127,929
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