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US 2020/0345310 A1Published application
System for diagnosing mental disorders using neurometrics
AssigneeWave Neuroscience, Inc.
InventorYi JIN
Life of this patent
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Abstract
Described are novel systems for the diagnosis of specific mental disorders using neurometrics. EEG parameters are compared to thresholds to determine if a person is suffering from autism spectrum disorder, Alzheimer's disease, anxiety, depression, or schizophrenia.
Claims16
A system for diagnosing autism spectrum disorder (ASD), wherein the system comprises:
- a. an EEG recording device for recording the EEG of a person;
- b. a processing device comprising a processor and internal or external memory, in order to calculate the average relative Alpha Power of EEG signals from at least one of the frontal EEG channels and the average relative Alpha Power of EEG signals from at least one of the occipital-EEG channels;
- and
- c. a diagnosis mechanism where the system diagnoses the person with ASD if the average relative frontal Alpha Power is less than about 10% of the average relative occipital-parietal Alpha Power.
1 more element
A system for diagnosing ASD, wherein the system comprises:
- a. an EEG recording device for recording the EEG of a person;
- b. a processing device comprising a processor and internal or external memory, in order to calculate the average relative Alpha Power of EEG signals for at least one of the frontal EEG channels and the average relative Alpha Power of EEG signals from at least one of the occipital-parietal EEG channels;
- and
- c. a diagnosis mechanism where the system diagnoses the person with ASD if the average relative frontal Alpha Power is less than about 20% of the average relative occipital-parietal Alpha Power and the average relative frontal Alpha Power is less than about 5%.
1 more element
A system for diagnosing ASD, wherein the system comprises:
- a. an EEG recording device for recording the EEG of a person;
- b. a processing device comprising a processor and internal or external memory, in order to calculate the average Alpha Frequency of EEG signals from at least one of the frontal EEG channels and the average Alpha Frequency of EEG signals form at least one of the occipital-parietal EEG channels;
- and
- c. a diagnosis mechanism where the system diagnoses the person with ASD if the average frontal Alpha Frequency is greater than about 0.5 Hz more than the average occipital-parietal Alpha Frequency.
1 more element
13-32. (canceled)
Dependencies are inferred from the claim text.