Cerora, Inc.

Adam Jay Simon

David M Devilbiss

Hashem Ashrafiuon

Parham Ghorbanian

Gary S Kath

A system and method for assessing brain health includes presenting a saccade test to a subject and capturing biological sensor data of the subject in response to the saccade test using a plurality of biological sensors. Saccade cards are employed to measure the brain health of a subject through collection of eye tracking data, for example. Saccade cards using a variety of design elements besides numbers are used for collection of the eye tracking data and other biological data. The captured biological data is used to create a multi-variate signature of the brain health condition of the subject.

Multimodal health assessment with neuro-opthalmological saccade tests

A system for assessing brain health of a user includes an electronics module including an active brainwave sensor that collects channels of electroencephalography (EEG) brainwave data, a plurality of biological sensors, and a stimulation device. The biological sensors include a microphone that captures verbal responses of the subject during a battery of tasks, an image sensor that records eye positions, eye saccade and other biometric identification information, an accelerometer, a gyrometer, a thermometer, a pulse oximetry sensor, a dermal skin conductance sensor, and key strokes, mouse clicks or touch events to measure cognitive data of the user. The stimulation device applies a battery of tasks including a visual or photic stimulant, an auditory stimulant, a gastronomic stimulant, an olfactory stimulant, a touch stimulant, and a cognitive challenge stimulant to the user. The plurality of biological sensors simultaneously measure the body's response to stimulants for recordation by the electronics module.

System and signatures for the multi-modal physiological stimulation and assessment of brain health

A system and method for modeling bio-signals in the form of non-linear stochastic oscillators by extracting time series data from a subject into a series of summary fit parameters and comparing the unknown fit parameters to a set of normative fit parameters to determine whether the subject should be included in a group or not. The method includes data collection, feature extraction and then comparison of fit parameters from a non-linear stochastic oscillator model to a normative standard to make the in or out determination for a particular group. The system includes a processor programmed to perform the steps of the method.

Stochastic oscillator analysis in neuro diagnostics

A system synchronizes a PC exhibiting latency of operations to a biosensor enabled microcontroller with real-time clock by providing an encoding scheme that captures the subject's absolute reaction time transmits the subject's reaction time from the PC exhibiting latency to the microcontroller with real-time clock. The system includes a transmitter that transmits a stimulus signal from the PC exhibiting latency, an input device indicating the subject's response to the stimulus signal, an encoding circuit adapted to encode a difference in time between the stimulus signal and the subject's response to the stimulus signal, an emitter adapted to transmit the encoded difference signal representing the subject's reaction time, and a complementary receiver adapted to detect the encoded difference signal. The receiver includes a decoding circuit that decodes the encoded difference signal to determine the subject's reaction time, and the receiver provides the subject's reaction time to the microcontroller with real-time clock for synchronization with received biosensor data such as EEG data.

System and methods for the synchronization of a non-real time operating system PC to a remote real-time data collecting microcontroller

A battery of three or more sensory and cognitive challenge tasks actively or dynamically challenge the brain to monitor its state for assessment of injury, disease, or compound effect, among others. The system analyzes and assesses a personalized biometric brain health signature by integrating the use of electroencephalography (EEG), somato-sensory, neuropsychological, and/or cognitive stimulation, and novel signal processing and display. The system also provides for early detection of dementia, including Alzheimer's disease (AD), vascular dementia (VAD), mixed dementia (AD and VAD), MCI, and other dementia-type disorders, as well as brain injury states such as mild Traumatic Brain Injury and can provide some or all of the following improvements over conventional systems and methods, including: (1) Increased sensitivity, specificity, and overall accuracy; (2) early detection of disease and injury; and (3) enhanced portability with remote data acquisition capability.

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Yardley, PA, United States of America

Adam Jay Simon