SYSTEM AND METHOD FOR MOTOR AND COGNITIVE ANALYSIS

• US 20140074267A1
• Filed: 10/04/2012
• Published: 03/13/2014
• Est. Priority Date: 11/19/2009
• Status: Active Grant

• Current Assignee: Cleveland Clinic Foundation
• Original Assignee: Cleveland Clinic Foundation
• Inventors: Alberts, Jay L., Mclntyre, Cameron
• Granted Patent: US 10,741,287 B2
• Time in Patent Office: Days
• US Class Current: 700/92
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1106 to assess neuromuscular blockade, e.g. to estimate depth of anaesthesia
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1124 Determining motor skills
• 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 5/162 Testing reaction times
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

In an example embodiment, this disclosure provides a non-transitive computer-readable medium on which are stored instructions executable by a processor, the instructions which, when executed by the processor, cause the processor to perform a method. The method includes computing, based on test performance data of a user, at least one of a performance variable characterizing cognitive functioning and a performance variable characterizing neuromotor functioning. For each of the at least one performance variable, a respective score can be computed based on the respective performance variable and based on a set of performance metrics. The method can also include outputting, via an output device, the at least one computed score.

Claims

1. A computer system, comprising:

a computer processor; and

a user input device via which the processor is configured to receive user position data informative of user positions relative to the input device;

wherein the processor is configured to;

compute, based on the position data, a variable value; and

compute, based on the computed variable, a score characterizing at least one of a motor function of the user, a cognitive function of the user, and a cognitive-motor function of the user.

2. The system of claim 1, wherein:

the processor outputs via a display device graphical test objects;

the computation of the variable value is based on a relationship of the user positions relative to the test objects.

3. The system of claim 2, wherein the processor is configured to determine a size of the display device based on input from the user, and to scale the display of the test data according to the determined size.

4. The system of claim 1, wherein the processor computes separate scores respectively characterizing motor function and cognitive function.

5. The system of claim 1, wherein the processor computes a composite score characterizing a cognitive-motor function.

6. The system of claim 1, wherein the computation of the score includes a weighting based on performance of a plurality of patients of a patient population.

7. The system of claim 1, wherein the variable value is computed based on kinematic data obtained from the position data.

8. The system of claim 7, wherein the processor is configured to compute an error value indicative of a difference between the kinematic data and ideal kinematic data, the variable value being based on the computed error value.

9. The system of claim 1, wherein the processor is configured to compute an error value based on a difference between a line drawn to connect two test objects and an ideal line connecting the two test objects, the line drawn being determined based on the position data.

10. The system of claim 1, wherein the processor is configured to compute a dwell time corresponding to a time interval that the position data indicates a position to remain within a predefined bounded area, and the score is based on the computed dwell time and characterizes cognitive function.

11. The system of claim 1, wherein the processor is configured to compute, based on the position data, a reaction time between presentation of a stimulus and an initiation of a movement, and the score is based on the computed reaction time and characterizes cognitive function.

12. The system of claim 1, wherein the position data is obtained during administration of a test, and the processor is configured to select, from a plurality of tests, a second test to administer based on a relationship between the computed score and respective difficulties of the plurality of tests.

13. The system of claim 1, wherein the score is updated during administration of a test during which the position data is obtained, and the system is configured to adjust a difficulty of the test based on the score and prior to completion of the administration of the test.

14. The system of claim 1, wherein the system is configured to:

receive an input of a proposed change in medical treatment for the user;

search a patient database for patients with clinical characteristics and scores similar to those of the user;

search the patient database for those of the similar patients who have been subjected to a change similar to the proposed change; and

based on data stored in association with the patients subjected to the similar change, determine an expected change, in response to the proposed change, in at least one of the score for the user and medical condition classification for the user.

15. The system of claim 1, wherein the user position data is informative of user positions relative to the input device during administration of at least two of a sevens test, a trail making test, a clock drawing test, a reaction time and subsequent movement task test, a center-out test, an Archimedes spiral test, a judgment of line orientation test, and a test whose complete renderings are dynamically provided as the user takes the test.

16. The system of claim 1, wherein the input device is one of attached to and held by the user during administration of a test that provides the user position data.

17. The system of claim 1, wherein the computed score characterizing a cognitive function of the user is computed, the computation being based on test data obtained via at least one of a Sport Concussion Assessment Tool (SCAT) test, a working memory test, a set-switching test and a delayed recognition test.

18. The system of claim 1, wherein the computed score characterizing a motor function of the user is computed, the computation being based on data obtained via at least one of a simple reaction time (SRT) test and a choice reaction time (CRT) test.

19. A computer-implemented method comprising:

receiving, by a computer processor, user position data informative of user positions relative to an input device;

computing, by the processor and based on the position data, a variable value; and

computing, by the processor and based on the computed variable, a score characterizing at least one of a motor function of the user, a cognitive function of the user, and a cognitive-motor function of the user.

20. A non-transitive computer-readable medium on which are stored instructions executable by a processor, the instructions which, when executed by the processor, cause the processor to perform a method, the method comprising:

computing, based on test performance data of a user, at least one of a performance variable characterizing cognitive functioning and a performance variable characterizing neuromotor functioning;

for each of the at least one performance variable, computing, based on the respective performance variable and based on a set of performance metrics, a respective score; and

outputting, via an output device, the at least one computed score.