Method and apparatus for measuring representational motions in a medical context

• US 8,740,819 B2
• Filed: 03/20/2008
• Issued: 06/03/2014
• Est. Priority Date: 03/21/2007
• Status: Active Grant

• Current Assignee: Lahey Clinic Foundation Incorporated, Massachusetts Institute of Technology
• Original Assignee: Lahey Clinic Foundation Incorporated, Massachusetts Institute of Technology
• Inventors: Davis, Randall, Penney, Dana L.
• Primary Examiner(s): DOUGHERTY, SEAN PATRICK
• Application Number:
  US12/077,730
• Publication Number:
  US 20080243033A1
• Time in Patent Office: 2,266 Days
• Field of Search: 128/897, 128/920, 128/922, 128/923, 434/236, 382/313, 382/314, 382/186, 600/300, 600/595
• US Class Current: 600/595
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• 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 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Disclosed is an apparatus and corresponding method to capture individual representational motions made by a person while performing a neuropsychological test. A user of the apparatus and method may be allowed to view, edit, classify, and retrieve any captured and recorded motions made by the person. In one embodiment, a capture unit, such as a digitizer, captures the motions made by a person while performing a Clock Drawing Test, and the captured data may then be reported in a myriad of ways. The apparatus and method also provide a means to standardize administration and scoring of writing utensil and paper based neuropsychological testing administered to a person or control and test groups for domestic or international applications. By analyzing individual representational motions made by a person while performing a neuropsychological test, unexpectedly more information may be gleaned from the test than was available to physicians from only a completed drawing.

Claims

1. A computer implemented method for processing graphomotor motion in a diagnostic task, the method comprising:

receiving, at a computing device, first data representing graphomotor motion made by a first subject during a first execution of a graphomotor diagnostic task performed in a medical context, wherein the data representing the motion comprises data representing dynamic characteristics of said motion;

processing, using the computing device, prior data characterizing motion made during one or more prior executions of the diagnostic task to determine characteristics of one or more motion element classes;

processing, using the computing device, the first data representing the motion to identify a plurality of elements in the motion, including classifying at least some of said elements according to the one or more motion element classes; and

determining, using the computing device, using the processed first data and the determined characteristics of the one or more motion element classes, a quantitative, qualitative and/or categorical assessment of the first execution of the diagnostic task associated with neurocognitive mechanisms underlying said motion.

2. The method of claim 1 further comprising soliciting the first subject to make the graphomotor motion and recording the first data representing said motion.

3. The method of claim 1 wherein the prior data includes data characterizing one or more prior executions by the first subject of the diagnostic task.

4. The method of claim 2 further comprising identifying, using the processed first data and the determined characteristics of the one or more motion element classes, changes in the first subject'"'"'s executions of the graphomotor diagnostic task over time.

5. The method of claim 1 wherein the prior data includes data characterizing one or more prior executions by subjects other than the first subject of the diagnostic task.

6. The method of claim 5 wherein the processing to determine characteristics of the one or more motion element classes includes establishing a performance baseline, and determining the assessment of the first diagnostic task by the subject is based on the performance baseline.

7. The method of claim 1 wherein the diagnostic task includes a clock drawing test.

8. The method of claim 7 wherein the motion element classes include one or more of hour numbers, an hour hand, a minute hand, a second hand, a clock face outline, and a clock face center point.

9. The method of claim 1 wherein the dynamic characteristics include one or more of a change of position relative to a reference point, an acceleration of motion, a rate of motion, a time of making a motion relative to a time of making another different motion, a starting position and an ending position relative to an expected starting position and an expected ending position, and one or more via point positions relative one or more corresponding via point positions between a starting position and an ending position.

10. The method of claim 1 wherein the characteristics of the one or more motion element classes include one or more of spatial characteristics, geometric characteristics, chronological, and temporal characteristics.

11. The method of claim 1 wherein the assessment of the first execution of the diagnostic task includes a diagnosis assessment.

12. The method of claim 1 wherein the graphomotor motion includes motion related to a movement of an appendage of the first subject during execution of the diagnostic task.

13. The method of claim 1 wherein determining the quantitative, qualitative, and/or categorical assessment of the first execution of the diagnostic task includes identifying element omission errors, element perseveration errors, element rotation errors, element misplacement errors, element distortion errors, element substitution errors, and element addition errors.

14. Software embodied on a non-transitory computer readable medium comprising instructions for causing a data processor to:

receive first data representing graphomotor motion made by a first subject during a first execution of a graphomotor diagnostic task performed in a medical context, wherein the data representing the motion comprises data representing dynamic characteristics of said motion;

process prior data characterizing motion during one or more prior executions of the diagnostic task to determine characteristics of one or more motion element classes;

process the first data representing the motion to identify a plurality of elements in the motion, including classifying at least some of said elements according to the one or more motion element classes; and

determine, using the processed first data and the determined characteristics of the one or more motion element classes, a quantitative, qualitative and/or categorical assessment of the first execution of the diagnostic task associated with neurocognitive mechanisms underlying said motion.

15. A computer implemented system comprising:

an input for receiving first data representing graphomotor motion during a first execution by a first subject of a graphomotor diagnostic task performed in a medical context, wherein the data representing the motion comprises data representing dynamic characteristics of said motion;

a prior data processing module for processing prior data characterizing motion during one or more prior executions of the diagnostic task to determine characteristics of one or more motion element classes;

a classification module for processing the first data representing the motion to identify a plurality of elements in the motion, including classifying at least some of said elements according to the one or more motion element classes; and

an assessment module for using the processed first data and the determined characteristics of the one or more motion element classes to determine a quantitative, qualitative and/or categorical assessment of the first execution of the diagnostic task associated with neurocognitive mechanisms underlying said motion.