Claims
- 1. A method of determining whether an individual has Attention Deficit Hyperactivity Disorder, comprising:
sampling the peripheral skin temperature of an individual 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 frequency fmax and the FFT magnitude at the minimum frequency; aggregating the magnitude ranges for one of or less than all of the windows to produce an aggregate magnitude range value which is indicative of whether or not the individual has ADHD; wherein prior to sampling, if one or more of the following noises are present it is eliminated through manual or automatic means:
self diversion, external stimulation, technical problems, sleep problems.
- 2. The method of claim 1 wherein said aggregate magnitude range value is the mean of said magnitude range values of all of said windows.
- 3. The method of claim 1 wherein said aggregate magnitude range value is the median of said magnitude range values of all of said windows.
- 4. The method of claim 1 wherein said aggregate magnitude range value is the median of said magnitude range values of all of said windows.
- 5. The method of claim 1 wherein said aggregate magnitude range value is determined by an aggregation statistical algorithm of said magnitude range values of all of said windows.
- 6. The method of claim 1 wherein said sampling includes sampling the peripheral skin temperature of said individual during two or more pre-determined time intervals, wherein said aggregate magnitude range value is aggregated for one or more of said pre-determined time intervals.
- 7. The method of claim 1 wherein said sampling includes sampling the peripheral skin temperature of one or both hands of said individual, and wherein said aggregate for said one or said both hands.
- 8. The method of claim 1 wherein said the magnitude range of one or more windows at the beginning of said pre-determined time interval is not used to produce said aggregate range value.
- 9. The method of claim 1 where environmental data including subject motion, audible environment and ambient temperature data are recorded.
- 10. The method in claim 9 where said environmental data is synchronized to the subject temperature data.
- 11. The method of claim 9 wherein environmental data are manually analyzed by a test evaluator for the occurrence of one or more noise event occurrences.
- 12. The method of claim 11 wherein suspect subject temperature data is eliminated from the sampled data during a noise event occurrence.
- 13. The method of claim 9 wherein said environment data is automatically evaluated using scene change algorithms and peak noise detection to determine if a noise event occurred during the sampling.
- 14. The method of claim 13 wherein automatic analysis techniques are used to alert the test evaluator of a noise event.
- 15. The method of claim 14 where the test evaluator eliminates suspect subject temperature data if he/she is alerted to a noise event.
- 16. The method in claim 13 wherein noise occurrence environment data is used to automatically remove specific temperature data during a noise occurrence during the sampling.
- 17. The method of claim 9 wherein said environment data is automatically evaluated using a loss of temperature signal or abrupt change in temperature signal from the subject.
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This application is a Continuation-in Part Application of U.S. patent application Ser. No. 09/865,902 filed May 25, 2001.
Continuation in Parts (1)
|
Number |
Date |
Country |
Parent |
09865902 |
May 2001 |
US |
Child |
10301072 |
Nov 2002 |
US |