LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals

Anxiety, learning disabilities, and depression are the symptoms of attention deficit hyperactivity disorder (ADHD), an isogenous pattern of hyperactivity, impulsivity, and inattention. For the early diagnosis of ADHD, electroencephalogram (EEG) signals are widely used. However, the direct analysis o...

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Bibliographic Details
Main Authors: Orhan Atila, Erkan Deniz, Ali Ari, Abdulkadir Sengur, Subrata Chakraborty, Prabal Datta Barua, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
ADHD detection
EEG signals
Ulam’s spiral
Sophie Germain’s primes
SVM
Online Access:https://www.mdpi.com/1424-8220/23/16/7032

Internet

https://www.mdpi.com/1424-8220/23/16/7032

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