ITERATIVE PROCESS FOR CALIBRATING A DIRECT NEURAL INTERFACE

• Main Author: YELISYEYEV, Andriy
• Format: Patent
• Language: English
• Published: 24.10.2019
• Subjects: ARTIFICIAL RESPIRATION; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSESOR SPECIFIC PARTS OF THE BODY; CALCULATING; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MASSAGE; MEDICAL OR VETERINARY SCIENCE; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING ORSTIMULATING REFLEX POINTS IN THE BODY; PHYSICS; REGULATING; SURGERY

The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured electrophysiological signals and so-called output calibration tensor, formed on the basis of measured output signals. The method comprises the application of a least squares multivariate regression implemented by considering a covariance tensor and a cross-covariance tensor which are established on the basis of input and output calibration tensors corresponding to a current calibration period. The method takes into account covariance and cross-covariance tensors established during an earlier calibration period prior to the current calibration period, these tensors being weighted by a forget factor.