Processor implemented systems and methods for measuring cognitive abilities

A computer-implemented system comprising:

• one or more processors;
• and
• a non-transitory computer-readable memory comprising instructions stored thereon that, when executed, cause the one or more processors to execute operations comprising:
• receiving a first plurality of responses by an individual to a first task, the first task comprising a first stimuli configured to evoke the first plurality of responses from the individual over a period of time;
• receiving a second plurality of responses by the individual to a second task, the second task comprising a second stimuli configured to evoke the second plurality of responses from the individual over the period of time, wherein the second stimuli are presented simultaneously with at least some of the first stimuli;
• computing a cognitive measure using a combination of one or both of the first plurality of responses and the second plurality of responses and external information, wherein computing the cognitive measure comprises:
• (i) determining at least one performance measure using one or both of the first plurality of responses and the second plurality of responses, the at least one performance measure being associated with the one or more cognitive functions associated with one or more specific diseases or disease states,
• (ii) comparing the at least one performance measure to the external information, the external information comprising one or more performance measure of individuals with known cognitive conditions associated with the one or more specific diseases or disease states, and
• (iii) applying a computer data model comprising at least one machine learning technique to the performance measures, wherein the at least one machine learning technique is configured to analyze one or more stimulus-response patterns from the first plurality of responses and the second plurality of responses to compute a predictive measure for the one or more specific diseases or disease states;
• and
• outputting a cognitive assessment for the individual based on the cognitive measure,
• wherein one or both of the first plurality of responses and the second plurality of responses (i) comprise at least one of motion by the individual or physiological input from the individual, and (ii) are detected using one or more sensors, the sensors being selected from the group consisting of an accelerometer, a gyroscope, and a physiological sensor.

A non-transitory computer-readable medium encoded with instructions thereon that, when executed by a computer processing system, cause the computer processing system to perform one or more operations, the one or more operations comprising:

• receiving a first plurality of responses by an individual to a first task, the first task comprising a first stimuli configured to evoke the first plurality of responses from the individual over a period of time;
• receiving a second plurality of responses by the individual to a second task, the second task comprising a second stimuli configured to evoke the second plurality of responses from the individual over the period of time, wherein the second stimuli are presented simultaneously with at least some of the first stimuli;
• computing a cognitive measure using a combination of one or both of the first plurality of responses and the second plurality of responses and external information, wherein computing the cognitive measure comprises:
• (i) determining at least one performance measure using one or both of the first plurality of responses and the second plurality of responses, the at least one performance measure being associated with the one or more cognitive functions associated with one or more specific diseases or disease states,
• (ii) comparing the at least one performance measure to the external information, the external information comprising one or more performance measure of individuals with known cognitive conditions associated with the one or more specific diseases or disease states, and
• (iii) applying a computer data model comprising at least one machine learning technique to the performance measures, wherein the at least one machine learning technique is configured to analyze one or more stimulus-response patterns from the first plurality of responses and the second plurality of responses to compute a predictive measure for the one or more specific diseases or disease states;
• and
• outputting a cognitive assessment for the individual based on the cognitive measure,
• wherein one or both of the first plurality of responses and the second plurality of responses (i) comprise at least one of motion by the individual or physiological input from the individual, and (ii) are detected using one or more sensors, the sensors being selected from the group consisting of an accelerometer, a gyroscope, and a physiological sensor.