Cognitive health assessment for core cognitive functions

A computing system for automatically generating a cognitive health assessment report utilizing data sets representative of potential cognitive activity of a patient, the computing system including at least one processor and computer readable memory, the computing system comprising:

• a sensor apparatus connected to one or more electrodes configured to be coupled to the patient's head, the one or more electrodes recording brainwave (EEG) data of the patient in respect of a brain of the patient;
• a stimulus presentation unit coupled to one or more sensory output devices, the stimulus presentation mechanism generating a series of programmed stimuli to the patient while the sensor apparatus records the brainwave data of the patient as the patient receives the series of programmed stimuli;
• a processing unit comprising:
• a waveform feature extractor processing engine configured to process the brainwave data of the patient to extract one or more waveform features, the one or more waveform features including at least one or more N200 and P300 responses present in the brainwave data;
• and
• wherein the processor comprises a memory having executable instructions thereon configured to:
• controlling a stimulus presentation mechanism to present sets of repeated auditory tones and/or visual images to the patient along with instructions to perform one or more specific tasks pertaining to distinguishing a target stimuli from a set of stimuli presented to the patient;
• tracking, on a processor configured for monitoring data received from the sensor apparatus, one or more N200 responses to the repeated auditory tones or visual images to measure the brain's processing of auditory and/or visual stimuli;
• controlling a stimulus presentation mechanism to present a second set of repeated auditory tones and/or visual images to the patient;
• tracking, on a processor configured for monitoring data received from the sensor apparatus, one or more P300 responses to the repeated auditory tones or visual images to measure the brain's processing of auditory and/or visual stimuli;
• determining a plurality of cognitive metrics based on the tracked N200 and P300 responses that include:
• an attention and concentration metric based on the P300 responses;
• a response inhibition metric pertain to the patient's behavior in order to inhibit a response to one type of stimulus while continuing to respond to another type of stimulus, wherein the response inhibition metric is based on the N200 responses;
• one or more executive function metrics based on N200 response and/or P3b responses;
• a working memory metric based on P3b response;
• and
• automatically generating and presenting, to an individual on a graphical user interface, the cognitive health assessment report generated based on the data sets, wherein the report displays each above noted metrics.