JP2019528812A5

JP2019528812A5 -

Info

Publication number: JP2019528812A5
Application number: JP2019502690A
Authority: JP
Filing date: 2017-07-19
Publication date: 2020-08-27
Anticipated expiration: 2037-07-19

Claims

A computer-implemented method for generating a quantifier of an individual's cognitive skills using a response classifier, comprising:
Presenting the issue with interference in the user interface by using at least one processing unit,
Measuring data indicative of two or more different types of responses to said task or said interference,
Receiving data indicative of an individual's first response to the task and the individual's second response to the interference,
Using the at least one processing unit to analyze the data indicative of the first response and the second response to calculate at least one response profile representative of the performance of the individual;
Determining a decision boundary metric from the response profile using the at least one processing unit, the decision boundary metric being at least one of the two or more different types of responses to the interference. Comprising a quantitative measure of the individual's tendency to produce one type of response;
Running a response classifier based at least in part on the decision boundary metric to produce a classifier output indicative of the cognitive response capacity of the individual.

The processing unit is further configured to control at least one actuated component to produce one or more of an auditory stimulus, a tactile stimulus, and a vibration stimulus, wherein the task and/or the interference is The method of claim 1 , comprising one or more of an auditory stimulus, the tactile stimulus, and the vibratory stimulus.

The method of claim 1 , wherein calculating at least one response profile comprises generating at least one response profile that is an impulsive response profile or a conservative response profile.

The processing unit executes further instructions and applies at least one adaptation procedure to correct the task and/or the interference, whereby the data indicating the first response and/or the second response. analysis instructs modification of the first response profile for configured to perform the method of claim 1.

The processing unit comprises at least one of a temporal length of a response window associated with a response deadline procedure , or a time-varying characteristic of one aspect of the problem or the interference represented in the user interface. The method of claim 1 , wherein the method is configured to control the user interface to modify the.

The processing unit is a bias sensitivity derived from the data indicative of the first response and the second response, non-determined time sensitivity to parallel tasks, belief cumulative sensitivity to parallel task requirements, reward rate sensitivity, or responses. further configured the method of claim 1 so as to calculate a parameter indicating one or more of the windows the estimated efficiency as the classifier output.

The method of claim 1 , wherein the processing unit is configured to control the user interface to represent the task as a continuous visual motion tracking task.

The method of claim 1 , wherein the processing unit is configured to control the user interface to represent the interference as a target discrimination interference.

The step of expressing the problem together with the interference includes:
Expressing the task in the presence of the interference such that the interference diverts the attention of the individual from the task, the task being selected from the group consisting of diverting and disturbing. The method of claim 1 , comprising the steps of:

The method of claim 1 , wherein the response classifier is trained based at least in part on feedback data from a computational model of human decision making.

11. The method of claim 10 , wherein the human decision making computational model is a drift diffusion model.

The response classifier is trained using a plurality of training data sets, each training data set corresponding to an already classified individual of a plurality of individuals, each training data set Data indicating the first response of the classified individual, data indicating the second response of the classified individual to the interference, and (i) one or more of a cognitive or behavioral test One or more of the data indicative of the performance of said classified individual in, and (ii) one or more of the data indicative of the status or progression of cognitive status, disease, or executive dysfunction of said classified individual. The method of claim 1 , comprising.

The method of claim 1 , wherein the classifier output includes an indication of a degree of impulsivity or conservativeness of the individual's cognitive response capacity.

The method of claim 1 , wherein the classifier output is transmitted to a user and/or displayed on the user interface.

The method of claim 1 , wherein the classifier output comprises a measure of the attention deficit or impulsivity of the individual.

The classifier output, further comprising the step of using for one or more cognitive monitoring of cognitive status, disease or execution dysfunction The method of claim 1.

Receiving the data indicative of the first response and the second response comprises receiving the data indicative of the first response and the second response using one or more sensor components. The method of claim 1 , comprising the step of:

Altering one or more of the amount, concentration, or titration of a drug, drug, or biological agent, wherein the individual is affected by an adverse event in response to administration of the drug, drug, or biological agent identifying the likelihood, that identifies the change in cognitive response capability of the individual recommending a treatment plan, or behavioral therapy, counseling, or recommending or determine the extent of at least one validity of gymnastics it further comprises the step of using the classifier output for one or more of the method according to claim 1.

An apparatus for generating a quantifier of an individual's cognitive skills using a response classifier, the apparatus comprising means for performing the method of any one of claims 1-18.

A system comprising one or more physiological components, and a device configured to perform a method according to any one of claims 1 to 18,
The processing unit is configured to execute a processor-executable instruction by the processing unit;
Receiving data indicative of one or more measurements of said physiological component,
At least in part by performing the response classifier based on the data indicative of one or more measurements of calculated values and the physiological components of the decision boundary metric, so as to generate the classifier output The system is composed of.

At least one non-transitory computer readable medium storing one or more computer-executable instructions for executing the method according to any one of claims 1 18 to the processing unit when executed.

A computer-implemented method for generating a quantifier of an individual's cognitive skills , comprising :
Expressing the issues with interference in the user interface,
Measuring data indicative of two or more different types of responses to said task or said interference,
Receiving data indicative of an individual's first response to the task and the individual's second response to the interference,
Using at least one processing unit to analyze the data indicative of the first response and the second response to calculate at least one response profile representative of the performance of the individual;
Determining a first decision boundary metric based at least in part on the at least one response profile, wherein the first decision boundary metric is one of the two or more different types of responses to the interference. Comprising a quantitative measure of the individual's tendency to produce at least one type of response of
Based at least in part on the calculated first decision boundary metric, adapting the problem and/or the interference to derive a modification of the calculated first decision boundary metric, the first Allowing a response and/or the second response to be modified, thereby indicating a modification of the individual's cognitive responsiveness.

23. The method of claim 22 , wherein calculating at least one response profile comprises generating at least one response profile that is an impulsive response profile or a conservative response profile.

Applying at least one adaptation procedure to correct the task and/or the interference, whereby analysis of the data indicative of the first response and/or the second response results in modification of the first response profile. 23. The method of claim 22 , further comprising the step of:

To modify at least one of a temporal length of a response window associated with a response deadline procedure , or a time-varying characteristic of one aspect of the problem or the interference represented in the user interface. 23. The method of claim 22 , further comprising controlling the user interface.

An apparatus for generating a quantifier of an individual's cognitive skills using a response classifier, the apparatus comprising means for performing the method of any one of claims 22-25.

A system comprising one or more physiological components, and a device configured to perform a method according to any one of claims 22 25,
The processing unit is configured to execute a processor-executable instruction by the processing unit ;
Receiving data indicative of one or more measurements of said physiological component,
A system configured to adapt the task and/or the interference based at least in part on the calculated first decision boundary metric and the data indicative of one or more measurements of the physiological component ..

At least one non-transitory computer readable medium storing one or more computer-executable instructions for executing the method according to any one of claims 22 25 to the processing unit when executed.