Patent classifications
A61B5/4058
EYE TRACKING-BASED DETECTION AND CORRELATION WITH NEUROLOGICAL CONDITION
A method of managing a neurological condition includes displaying a test target. An image capture device detects movement of a patient eye with respect to the test target. Data relating to the movement of the patient eye is received as an input to a machine learning model. The data relating to the movement of the patient eye with respect to the test target is correlated to a neurological condition, and an objective output information is produced by the machine learning model based on the correlation of the data to the neurological condition indicating a level of progression of the neurological condition.
Systems and methods for analyzing frequency-following response to evaluate central nervous system function
Central nervous (CNS) health in subjects who have human immunodeficiency virus (HIV) or non-human-species analogs thereof is 102 evaluated or otherwise monitored by analyzing frequency following response (FFR). In general, one or more components of an FFR are analyzed, The FFR is measured in response to the administration of an acoustic stimulus to the subject. The acoustic stimulus includes a complex sound, which may include a consonant and a consonant-to-vowel transition. An indication of CNS health can be generated by measuring changes in the FFR components (e.g., over time or relative to normative data).
Method of diagnosing degree of neuropathy of a nerve by diffusion tensor mapping
A method of diagnosing degree of neuropathy of a nerve by diffusion tensor mapping includes acquiring diffusion tensor imaging (DTI) digital images of the nerve based on magnetic resonance data of the part of the body comprising the nerve, for each voxel in the DTI digital images calculating a diffusion tensor and finding eigenvalues of the diffusion tensor, selecting a region of interest in at least one of said DTI digital images, and calculating a threshold value of a cutoff parameter as the minimal value of the cutoff parameter for which a particular following cutoff condition is false for all pixels withing the region of interest.
Balance prosthesis device, method, system and computer program
A balance prosthesis device for an individual including a sensor module configured to obtain a sensor signal indicative of a balance or equilibrium state of the individual, a processing module configured to determine at least one neurostimulation signal based at least in part on the obtained sensor signal, and a transmitter module configured to transmit the determined neurostimulation signal to a neurostimulation device of the individual. The neurostimulation signal is configured to elicit an artificial sensation in a specific sensory cortex area of the individual via directly stimulating afferent sensory axons of the central or peripheral nervous system of the individual targeting sensory neurons of the sensory cortex area not directly associated with vestibulocortical pathways of the individual. The elicited artificial sensation provides a balance indication to the individual in order to support, mimic, substitute or enhance the natural sense of balance of the individual.
Traumatic brain injury detection
Apparatus for the non-invasive in-vivo determination of changes in tissue, e.g. the myelination, of the optic nerve (ON) in a biological subject, said apparatus comprising: a laser source for generating an excitation laser beam; an optical system including a fundus camera operatively associated with the laser source for use in obtaining a fundus image for illuminating the optic nerve (ON) of a subject with the excitation laser beam; a detector (13) operatively associated with the optical system and configured to detect a Raman spectrum from the optic nerve (ON) and/or surrounding cerebral spinal fluid; and a processor provided with a computer program for comparing the detected Raman spectrum to at least one reference spectrum. The reference spectrum may correspond to the myelination of the optic nerve in a normal, healthy subject, for determining the changes in the myelination of the optic nerve of the subject based on the detecting and comparing steps from the Raman spectrum.
CLOSED LOOP STIMULATION BASED ON RESPONSE AVOIDANCE
Systems and methods for closed-loop control of electrostimulation while avoiding, or maintaining a substantially low level of, evoked neural activity are disclosed. A system comprises an electrostimulator to deliver a stimulation pulse train, a sensing circuit to sense evoked responses to respective pulses in the pulse train, and a controller to detect an evoked neural activity from an averaged evoked response by averaging evoked responses to respective pulses. The averaging operation can be controlled by a noise level of the averaged evoked response, or by a count of epochs (pulses) being used for averaging. Responsive to the evoked neural activity satisfying a detection criterion, the controller recursively adjusts stimulation parameters until the detection criterion is no longer satisfied. The electrostimulator delivers electrostimulation according to the recursively adjusted stimulation parameters.
TRAUMATIC BRAIN INJURY DETECTION
Apparatus for the non-invasive in-vivo determination of changes in tissue, e.g. the myelination, of the optic nerve (ON) in a biological subject, said apparatus comprising: a laser source for generating an excitation laser beam (b); an optical system including a fundus camera operatively associated with the laser source for use in obtaining a fundus image for illuminating the optic nerve (ON) of a subject with the excitation laser beam (b); a detector operatively associated with the optical system and configured to detect a Raman spectrum from the optic nerve (ON) and/or surrounding cerebral spinal fluid; and a processor provided with a computer program for comparing the detected Raman spectrum to at least one reference spectrum. The reference spectrum may correspond to the myelination of the optic nerve in a normal, healthy subject, for determining the changes in the myelination of the optic nerve of the subject based on the detecting and comparing steps from the Raman spectrum.