US 12,070,337 B2
System for diagnosing mental disorders using neurometrics
Yi Jin, Irvine, CA (US)
Assigned to WAVE NEUROSCIENCE, INC., Newport Beach, CA (US)
Filed by WAVE NEUROSCIENCE, INC., Newport Beach, CA (US)
Filed on May 9, 2020, as Appl. No. 16/870,958.
Application 16/870,958 is a division of application No. 15/154,523, filed on May 13, 2016, granted, now 10,682,096.
Application 15/154,523 is a continuation in part of application No. 15/087,209, filed on Mar. 31, 2016, granted, now 10,420,482, issued on Sep. 24, 2019.
Prior Publication US 2020/0345310 A1, Nov. 5, 2020
Int. Cl. A61B 5/00 (2006.01); A61B 5/16 (2006.01); A61B 5/374 (2021.01)
CPC A61B 5/7257 (2013.01) [A61B 5/165 (2013.01); A61B 5/374 (2021.01); A61B 5/4088 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A system for diagnosing autism spectrum disorder (ASD), comprising:
an electroencephalogram (EEG) device configured to record an EEG of a person, wherein the EEG device comprises one or more electrodes operable to record
one or more frontal EEG channels, and
one or more occipital-parietal EEG channels; and
a processing device comprising a processor and one or more of internal or external memory, wherein the processing device is configured to
compute a first average relative Alpha Power of EEG signals based on the one or more frontal EEG channels to output an average relative frontal Alpha Power,
compute a second average relative Alpha Power of EEG signals based on the one or more occipital-parietal EEG channels to output an average relative occipital-parietal Alpha Power, and
determine an ASD diagnosis for the person when the average relative frontal Alpha Power is less than 10% of the average relative occipital-parietal Alpha Power.