WO2019143627A3 – September 6, 2019 – APPARATUS AND METHOD FOR THE NON-INVASIVE DETECTION OF TETRAHYDROCANNABINOL USE AND IMPAIRMENT

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Inventors :

FINKEL, Julia - c/o CHILDREN'S NATIONAL MEDICAL CENTER, 111 Michigan Avenue, N.W., WASHINGTON, District of Columbia 20010

Owner :

CHILDREN'S NATIONAL MEDICAL CENTER

Application Number :

WOUS19013683

Document Number :

WO2019143627A3

Priority Date :

January 19, 2018

Filing Date :

January 15, 2019

Date of Grant/ Publication :

September 6, 2019

Class :

A61B3 / 02; A61B3 / 06; A61B3 / 11; A61B3 / 113; A61B3 / 14; A61B3 / 18

Abstract

The present disclosure is related to a method and apparatus for determining THC usage of a person. The present disclosure describes acquiring a video sequence, of an eye of a patient, the video sequence being a plurality of video frames, determining a frequency spectrum from a pupillary data of the video sequence, and determining, based on the frequency spectrum, the physiological characteristic or drug of use of the patient. In an embodiment, at least one frequency can be probed based on which physiological characteristic is being explored. For example, the physiological characteristic can be ??-tetrahydrocannabinol, and the at least one frequency probed can be selected to be specific to ??-tetrahydrocannabinol.

Claim(s)

Claim 1. An apparatus for evaluation of a pupillary hippus of a patient, comprising: a display; and processing circuitry configured to transform experimental data of the pupillary hippus of the patient and reference data via frequency-based transformation, calculate a first parameter of one or more selected parameters based upon the transformed experimental data of the pupillary hippus of the patient, calculate, based upon the transformed reference data, a corresponding first parameter of the one or more selected parameters, generate a metric from the first parameter based upon the experimental data and the corresponding first parameter based upon the reference data, the generated metric being a normalization of the first parameter and the corresponding first parameter, determine whether the generated metric achieves a predetermined threshold, the predetermined threshold being related to a biologically-active target, and display, on the display and based upon the determination, the evaluation of the pupillary hippus of the patient, wherein the evaluation of the pupillary hippus of the patient is an identification of D 9 – tetrahydrocannabinol as the biologically-active target.;
Claim 2. The apparatus according to claim 1, wherein the processing circuitry is further configured to determine a level of impairment based upon the identification of A 9 – tetrahydrocannabinol as the biologically-active target and the first parameter. Claim 3. The apparatus according to claim 1, wherein the processing circuitry is further configured to determine whether the generated metric achieves the predetermined threshold based upon a correlation between the first parameter of the experimental data and the corresponding first parameter of the reference data.;
Claim 4. The apparatus according to claim 1, wherein the first parameter based upon the experimental data is an amplitude at a predetermined frequency. Claim 5. The apparatus according to claim 1, wherein the first parameter based upon the experimental data is band power.;
Claim 6. The apparatus according to claim 1, wherein the generated metric is a difference between a band power of the experimental data and a band power of the reference data.;
Claim 7. The apparatus according to claim 1, wherein the first parameter based upon the experimental data is a mathematical model of the experimental data. Claim 8. The apparatus according to claim 7, wherein the first parameter based upon the experimental data is a mathematical model of a frequency spectrum of the experimental data. Claim 9. The apparatus according to claim 1, wherein the generated metric is a similarity ratio of mathematical models of a frequency spectrum of the experimental data and of the reference data. Claim 10. The apparatus according to claim 1, wherein the processing circuitry is further configured to acquire a plurality of video sequences of an eye of the patient, generate pupillary data based upon primary data calculated from the plurality of video sequences, the primary data including time-based pupillary dimensions, and calculate, from the generated pupillary data, secondaiy data, wherein the secondary data include the frequency spectrum of the pupillary hippus.;
Claim 1 1. The apparatus according to claim 10, wherein the primary data are calculated based upon a mask image, the processing circuitry, in order to generate the mask image, being further configured to locate a center of a pupil of the eye, a boundary of the pupil of the eye, and an iris of the eye, and generate the mask image, the mask image corresponding to an expected location of the iris based upon the location of the center of the pupil of the eye, the boundary of the pupil of the eye, and the iris of the eye.;
Claim 12. An apparatus for evaluation of a pupillary hippus of a patient, comprising: a display; and processing circuitry configured to calculate a first parameter of one or more selected parameters based upon experimental data of the pupillary hippus of the patient, calculate, based upon reference data of a pupillary hippus, a corresponding first parameter of the one or more selected parameters, generate a metric from the first parameter based upon the experimental data and the corresponding first parameter based upon the reference data, the generated metric being a normalization of the first parameter and the corresponding first parameter, determine whether the generated metric achieves a predetermined threshold, the predetermined threshold being related to a biologically-active target, and display, on the display and based upon the determination, the evaluation of the pupillary hippus of the patient, wherein the evaluation of the pupillary hippus of the patient is an identification of D 9 – tetrahydrocannabinol as the biologically-active target. Claim 13. The apparatus according to claim 12, wherein the processing circuitry is further configured to determine whether the generated metric achieves the predetermined threshold based upon a correlation between the first parameter of the experimental data and the corresponding first parameter of the reference data.;
Claim 14. The apparatus according to claim 12, wherein the first parameter based upon the experimental data is an amplitude at a predetermined frequency. Claim 15. The apparatus according to claim 12, wherein the generated metric is a difference between a band power of the experimental data and a band power of the reference data. Claim 16. The apparatus according to claim 12, wherein the first parameter based upon the experimental data is a mathematical model of the experimental data.;
Claim 17. The apparatus according to claim 12, wherein the generated metric is a similarity ratio of mathematical models of a frequency spectrum of the experimental data and of the reference data.;
Claim 18. The apparatus according to claim 12, wherein the processing circuitry is further configured to acquire a plurality of video sequences of an eye of the patient, generate pupillary data based upon primaiy data calculated from the plurality of video sequences, the primary data including time-based pupillary dimensions, and calculate, from the generated pupillary data, secondary data, wherein the secondary data include the frequency spectrum of the pupillary hippus. Claim 19. The apparatus according to claim 18, wherein the primaiy data are calculated based upon a mask image, the processing circuitry, in order to generate the mask image, being further configured to locate a center of a pupil of the eye, a boundaiy of the pupil of the eye, and an iris of the eye, and generate the mask image, the mask image corresponding to an expected location of the iris based upon the location of the center of the pupil of the eye, the boundary of the pupil of the eye, and the iris of the eye. Claim 20. An apparatus for evaluation of a pupillary hippus of a patient, comprising: processing circuitry configured to calculate a first parameter of one or more selected parameters based upon experimental data of the pupillary hippus of the patient, calculate, based upon reference data of a pupillary hippus, a corresponding first parameter of the one or more selected parameters, generate a metric from the first parameter based upon the experimental data and the corresponding first parameter based upon the reference data, the generated metric being a normalization of the first parameter and the corresponding first parameter, determine whether the generated metric achieves a predetermined threshold, the predetermined threshold being related to a biologically-active target, and display, on a display and based upon the determination, the evaluation of the pupillary hippus of the patient.

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