Systems and methods for determining human performance capacity and utility of a biomedical intervention/neurotechnology device

• US 10,643,745 B2
• Filed: 09/29/2016
• Issued: 05/05/2020
• Est. Priority Date: 09/29/2015
• Status: Active Grant

• Current Assignee: Jeff Scott Bruno
• Original Assignee: Jeff Scott Bruno
• Inventors: Bruno, Jeff Scott
• Primary Examiner(s): Thai, Xuan M
• Assistant Examiner(s): Blaise, Malina D.
• Application Number:
  US15/280,797
• Publication Number:
  US 20170086729A1
• Time in Patent Office: 1,314 Days
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4076 Diagnosing or monitoring particular conditions of the nervous system A61B5/4821, A61B5/4824 take precedence
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• CPC Class Codes: A61N 1/0456 Specially adapted for transcutaneous electrical nerve stimulation [TENS]
• CPC Class Codes: A61N 1/36025 for treating a mental or cerebral condition
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system and method of determining human performance capacity, and of determining the utility of a given biomedical intervention and/or neurotechnology device to characterize, to predict, and to influence human performance capacity, via analysis and interpretation of psychophysiological biomarkers of cognitive workload and functioning, assistive-technology/external support dependence, and compensatory behavior during performance of ecologically-valid standardized work samples.

Claims

1. A method for adjusting a neurotechnology device comprising:

providing a physical assessment sensor configured to conduct physiological monitoring of a person, collect psychophysiological biomarkers associated with cognitive workload of the person, generate data in response to the monitoring, and send data to an external source;

performing, by the person, of a standardized work sample while the person is utilizing the neurotechnology device and while the person is monitored by the physical assessment sensor, wherein the work sample performance includes the person performing a standardized work sample task, wherein the work sample is associated with a criterion-referenced performance standard, while the person is interacting with at least one work sample object associated with the standardized work sample task during performing of the work sample;

generating, in response to the performing, of data measuring performance of the person during the performing of the standardized work sample;

generating, by the physical assessment sensor, in response to the performing, of data measuring cognitive workload of the person during the performing of the standardized work sample, wherein the data measuring cognitive workload comprises collecting of the psychophysiological biomarkers associated with cognitive workload;

sending of the generated data to a processing device configured to receive, store and process received data;

generating, by the processing device after completion of the standardized work sample, of an Absolute Performance data set including a comparison of the performance data with the performance standard;

generating, by the processing device after completion of the standardized work sample, one or more data sets as a function of the data measuring the performance and the data measuring the cognitive workload, the one or more data sets comprising an absolute efficiency data set, wherein the absolute efficiency data set includes a comparison of the Absolute Performance data set to the cognitive workload data;

generating, by the processing device, an absolute efficiency score based on at least the absolute efficiency data set;

generating, by the processing device, a composite score as a function of at least the absolute efficiency score;

generating, by the processing device, a profile of the person'"'"'s work capacity, the profile including the composite score, wherein the profile indicates the utility of the neurotechnology device for the person; and

adjusting the neurotechnology device as a function of the profile having been generated to adjust the impact the neurotechnology device'"'"'s usage has on human performance capacity.

2. The method for adjusting the neurotechnology device of claim 1 wherein the work sample is associated with norm-referenced performance data measuring generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and wherein said generating said data sets comprises the step of:

generating, by the processing device after completion of the standardized work sample, of a Relative Performance data set wherein the Relative Performance data set includes a comparison of the data measuring the performance during the work sample with the norm-referenced performance data the other persons are matched to the person by at least one parameter.

3. The method for adjusting the neurotechnology device of claim 1 wherein said generating said data sets comprises the step of:

generating, by the processing device after completion of the standardized work sample, of a Relative Effort data set wherein the Relative Effort data set includes a comparison of the data measuring the cognitive workload during the work sample with cognitive workload data generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and the other persons are matched to the person by at least one parameter.

4. The method for adjusting the neurotechnology device of claim 1 wherein said generating said data sets comprises the step of:

generating, by the processing device after completion of the standardized work sample, of a Relative Efficiency data set wherein the Relative Efficiency data set includes a comparison of the data measuring performance and the data measuring cognitive workload, with cognitive workload data and performance data generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and the other persons are matched to the person by at least one parameter.

5. The method for adjusting the neurotechnology device of claim 4 wherein said generating said data sets comprises the steps of:

generating, by the processing device in response of the performing, of data measuring an amount of external supportive resources used by the person during the work sample;

generating, by the processing device after completion of the standardized work sample, of a Resource Efficiency data set wherein the Resource Efficiency data set includes a comparison of a Relative Efficiency score determined from the Relative Efficiency data set with the amount of external supportive resources used by the person during the work sample.

6. The method for adjusting the neurotechnology device of claim 4 wherein said generating said data sets comprises the steps of:

generating, in response to the performing, of data measuring an amount of compensatory strategies used by the person during the work sample;

generating, by the processing device after completion of the standardized work sample, of a Behavioral Efficiency data set wherein the Behavioral Efficiency data set includes a comparison of a Relative Efficiency score determined from the Relative Efficiency data set with the amount of compensatory strategies adopted by the person during the work sample.

7. The method for adjusting the neurotechnology device of claim 1, further comprising the step of generating measurement of assistive technology assistance utilized by the person while interacting with the physical assessment sensor.

8. The method for adjusting the neurotechnology device of claim 7 wherein said measure of assistive technology assistance is independent of said cognitive workload.

9. The method for adjusting the neurotechnology device of claim 7, further comprising the step of generating a measurement of compensatory behavior by the person while interacting with the physical assessment sensor.

10. The method for adjusting the neurotechnology device of claim 9 wherein said measurement of compensatory behavior is independent of at least one of said measure of assistive technology assistance and said cognitive workload.

11. The method for adjusting the neurotechnology device of claim 9, wherein the data sets are generated as a function of the measurement of assistive technology assistance and the measure of compensatory behavior.

12. The method for adjusting the neurotechnology device of claim 1, further comprising the step of generating, by the physical assessment sensor, a measurement of compensatory behavior by the person while interacting with the physical assessment sensor.

13. The method for adjusting the neurotechnology device of claim 12 wherein said measurement of compensatory behavior is independent of said performance.

14. The method for adjusting the neurotechnology device of claim 1, wherein generating said composite score comprises performing a mathematical function on one or more of the one or more data sets.

15. The method for adjusting the neurotechnology device of claim 1, wherein said performance of said person is relative to peer performance.

16. An apparatus for adjusting a neurotechnology device comprising:

a physical assessment sensor configured to conduct physiological monitoring of a person, collect psychophysiological biomarkers associated with cognitive workload of the person, generate data in response to the monitoring, and send data to an external source;

a performance measuring system, wherein the performance measuring system is configured to measure performance of the person while monitored by the physical assessment sensor and using the neurotechnology device during a standardized work sample task, wherein the work sample is associated with a criterion-referenced performance standard, wherein the person interacts with at least one work sample object associated with the standardized work sample task during the work sample task, the performance measuring system further configured to generate measuring system performance data and send the measuring system performance data to a processing device;

a cognitive workload measuring system, wherein the cognitive workload measuring system is configured to measure psychophysiological biomarkers associated with cognitive workload of the person while monitored by the physical assessment sensor and using the neurotechnology device during the standardized work sample task, the cognitive workload measuring system further configured to generate cognitive workload data and send the cognitive workload data to a database;

a processing device configured to process, receive and store data from the performance measuring system and the cognitive workload system, wherein the processing device is configured to;

generate, after completion of the standardized work sample task, an Absolute Performance data set including a comparison of performance data with the performance standard, the performance data including the measuring system performance data;

compile, after completion of the standardized work sample task, one or more data sets as a function of cognitive workload data and the performance data, the one or more data sets comprising an Absolute Efficiency data set wherein the Absolute Efficiency data set includes a comparison of the Absolute Performance data set to the cognitive workload data; and

generate an Absolute Efficiency score based on at least the Absolute Efficiency data set;

a composite score generator of the processing device, wherein the composite score generator is configured to receive receives the one or more data sets and generates in response generate a composite score as a function of at least the absolute efficiency score; and

a profile generator of the processing device, wherein the profile generator is configured to receive the one or more data sets and the composite scores and in response generate a profile of the person'"'"'s work capacity, the profile including the composite score, wherein the profile indicates the utility of the neurotechnology device for the person, wherein the neurotechnology device is adjusted as a function of the profile having been generated to adjust the impact the neurotechnology device'"'"'s usage has on human performance capacity.

17. The apparatus for adjusting the neurotechnology device of claim 16 wherein the work sample is associated with norm-referenced performance data measuring generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and wherein the one or more data sets includes a Relative Performance data set wherein the Relative Performance data set includes a comparison of the measured performance during the work sample with the norm-referenced performance data the other persons are matched to the person by at least one parameter.

18. The apparatus for adjusting the neurotechnology device of claim 16 wherein the one or more data sets includes a Relative Effort data set wherein the Relative Effort data set includes a comparison of the measured cognitive workload during the work sample with cognitive workload data generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and the other persons are matched to the person by at least one parameter.

19. The apparatus for adjusting the neurotechnology device of claim 16 wherein the one or more data sets includes a Relative Efficiency data set wherein the Relative Efficiency data set includes a comparison of the measured performance and the measured cognitive workload with cognitive workload data and performance data generated by other persons performing other work samples, wherein the other work samples are comparable to the work sample and the other persons are matched to the person by at least one parameter.

20. The apparatus for adjusting the neurotechnology device of claim 19 wherein the physical assessment is configured to measure amounts of external supportive resources used by the person during the work sample and the one or more data sets includes a Resource Efficiency data set wherein the Resource Efficiency data set includes a comparison of a Relative Efficiency score determined from the Relative Efficiency data set with the amount of external supportive resources used by the person during the work sample.

21. The apparatus for adjusting the neurotechnology device of claim 19 wherein the physical assessment is configured to measure amounts of compensatory strategies used by the person during the work sample and the one or more data sets includes a Behavioral Efficiency data set wherein the Behavioral Efficiency data set includes a comparison of a Relative Efficiency score determined from the Relative Efficiency data set with an amount of compensatory strategies adopted by the person during the work sample.

22. The apparatus for adjusting a neurotechnology device of claim 16 further comprising an assistive technology assistance measuring system, wherein the assistive technology assistance measuring system measures assistive technology assistance utilized by the person while interacting with the physical assessment sensor.

23. The apparatus for adjusting a neurotechnology device of claim 22 wherein the processing device is configured to receive the measurements of the assistive technology assistance from the assistive technology measuring system and compile one or more data sets as a function of the measure of assistive technology.

24. The apparatus for adjusting a neurotechnology device of claim 16 further comprising a compensatory behavior measuring system, wherein the compensatory behavior measuring system measures compensatory behavior by the person while interacting with the physical assessment sensor.

25. The apparatus for adjusting a neurotechnology device of claim 24 wherein the processing device is configured to receive the measurements of the compensatory behavior from the compensatory behavior measuring system and compile one or more data sets as a function of the measure of compensatory behavior.