Method for determining attention deficit hyperactivity disorder (ADHD) medication dosage and for monitoring the effects of (ADHD) medication
First Claim
1. A method for determining the appropriate dosage of a medication to treat Attention Deficit Hyperactivity Disorder (ADHD) in an individual who has ADHD comprising:
- sampling the peripheral skin temperature of a human subject during a predetermined time interval when the subject is in an inactive state to provide sampled peripheral skin temperature data;
analyzing the sampled peripheral skin temperature data for a pre-selected parameter to determine whether said pre-selected parameter has a value indicative of ADHD; and
determining the proper dosage of a medication to treat ADHD based upon said determined value of said pre-selected parameter.
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Abstract
A method for determining the appropriate dosage of a medication to treat Attention Deficit Hyperactivity Disorder (ADHD) in an individual who has ADHD comprising: sampling the peripheral skin temperature of a human subject during a predetermined time interval when the subject is in an inactive state to provide sampled peripheral skin temperature data; analyzing the sampled peripheral skin temperature data for a pre-selected parameter to determine whether the pre-selected parameter has a value indicative of ADHD; and determining the proper dosage of a medication to treat ADHD based upon the determined value of the pre-selected parameter.
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Citations
19 Claims
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1. A method for determining the appropriate dosage of a medication to treat Attention Deficit Hyperactivity Disorder (ADHD) in an individual who has ADHD comprising:
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sampling the peripheral skin temperature of a human subject during a predetermined time interval when the subject is in an inactive state to provide sampled peripheral skin temperature data;
analyzing the sampled peripheral skin temperature data for a pre-selected parameter to determine whether said pre-selected parameter has a value indicative of ADHD; and
determining the proper dosage of a medication to treat ADHD based upon said determined value of said pre-selected parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
dividing the sampled data into windows of subsets of data;
processing the subset data for each window with a Fast Fourier Transform (FFT) algorithm to produce FFT data having magnitude values;
calculating a magnitude range value for each window; and
aggregating the magnitude range values to produce an aggregate value; and
comparing the produced value with a previously determined threshold value to determine said proper dosage.
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3. The method of claim 1 including an earphone worn by the subject during said predetermined time interval to block out ambient noise or to receive white noise to reduce or eliminate audio stimulus from the ambient environment during said time interval.
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4. The method of claim 3 including a source of white noise coupled to said earphone to provide white noise during said predetermined time interval.
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5. The method of claim 1 including glasses or goggles worn by the subject during said predetermined time interval to block out or eliminate ambient visual stimulus from the ambient environment during said time interval.
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6. The method of claim 2 wherein demographic information including gender, age and weight of the human subject are used to be determined said proper dosage.
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7. The method of claim 2 wherein said threshold value is chosen so that determined values above said threshold value indicate normalcy and determined values below said threshold value indicate ADHD and wherein said dosage is increased as a function of how great is the difference between said produced value and said threshold value.
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8. The method of claim 1 including administering said determined dosage of said human subject;
after waiting a period of time for the medication to take effect, repeating said sampling and analyzing to produce a new value of said pre-selected parameter, and based on said new value, (a) maintaining said dosage if said new value is indicative of ADHD, or (b) increasing said dosage if said new value is indicative of ADHD.
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9. The method of claim 8 wherein said period of time is a function of the medication'"'"'s half-life in said human subject'"'"'s body.
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10. The method of claim 2 including administering said dosage of said medication to said human subject, after waiting a period of time for the medication to take effect, repeating said dividing, processing, calculating and aggregating to produce a new aggregate value, and based on said new aggregate value, (a) maintaining said dosage is to if said new aggregate value when compared to said previously determined threshold value is not indicative of ADHD, or (b) increasing said dosage if said new aggregate value when compared to said previously determined threshold value is indicative of ADHD.
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11. The method of claim 10 wherein said period of time is a function of the medication'"'"'s half-life in said human subject'"'"'s body.
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12. The method of claim 1 wherein said method of measuring stress is one or more of the following singularly or in combination;
bilateral temperature variability, heart rate variability, muscle tension (excessive and chronic measured via surface electromyography—
SEMG), bilateral muscle tension imbalance, galvanic skin response (i.e., electro dermal response—
EDR), eye saccades, blood oxygen (SpO2), salivary IGA, electroencephalography (EEG), peripheral blood flow (measured via photoplethismography—
PPG, and peripheral blood flow variability (PPG).
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13. The method of claim 1 wherein in said testing the peripheral skin temperature of at least one hand of each individual is sampled.
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14. The method of claim 1 wherein in said testing, the peripheral temperature of the dominant hand of each individual is tested.
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15. The method of claim 13 wherein the peripheral skin temperature of both hands of each individual is sampled and said parameter value for that individual is produced by analyzing the sampled peripheral skin data from both said hands.
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16. The method of claim 1 wherein said method uses one or more of the following for aggregation;
including the standard deviation, range, interquartile distance, skewness, kurtosis, Winsorized means and variance, and robust estimates of mean and variance.
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17. The method of claim 2 wherein said process uses one or more of the following for aggregation;
include using the data from only one hand—
either the left hand, the right hand or the dominant hand.
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18. The method of claim 2 wherein other statistics from a Fourier Transform, calculated from the quantities denoted above as A(fm), B(fm), φ
- (fm), and M(fm) are used.
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19. The method of claim 2 wherein statistics are derived from a Wavelet Transform instead of a Fourier Transform.
Specification