Technique for diagnosing attention deficit hyperactivity disorder
First Claim
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1. A method of determining whether a subject has Attention Deficit Hyperactivity Disorder, comprising:
- sampling the peripheral skin temperature of the subject during a pre-determined time interval when the subject is in an inactive state to provide sampled peripheral skin temperature data;
dividing the data into a series of windows of equal time intervals across the pre-determined time interval;
for each window applying a fast Fourier Transform algorithm (FFT) to produce a data set of FFT magnitudes and determining a range of FFT magnitude variation, which is the difference between the FFT magnitude at a maximum frequency fmax and the FFT magnitude at the minimum frequency fmin; and
aggregating the magnitude ranges for one or more of the windows to produce an aggregate magnitude range value which is indicative of whether or not the subject has ADHD;
wherein after said sampling, temperature data sampled during a noise event is eliminated through manual or automatic means.
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Abstract
This invention features a method of determining whether an individual has Attention Deficit Hyperactivity Disorder by sampling the peripheral skin temperature of an individual in an inactive state and manipulating the resulting temperature data to produce a value which is indicative of whether or not the individual has ADHD.
42 Citations
17 Claims
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1. A method of determining whether a subject has Attention Deficit Hyperactivity Disorder, comprising:
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sampling the peripheral skin temperature of the subject during a pre-determined time interval when the subject is in an inactive state to provide sampled peripheral skin temperature data;
dividing the data into a series of windows of equal time intervals across the pre-determined time interval;
for each window applying a fast Fourier Transform algorithm (FFT) to produce a data set of FFT magnitudes and determining a range of FFT magnitude variation, which is the difference between the FFT magnitude at a maximum frequency fmax and the FFT magnitude at the minimum frequency fmin; and
aggregating the magnitude ranges for one or more of the windows to produce an aggregate magnitude range value which is indicative of whether or not the subject has ADHD;
wherein after said sampling, temperature data sampled during a noise event is eliminated through manual or automatic means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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Specification