Publications by authors named "Elham Ahmadi Moghadam"
Neuroinformatics
October 2024
Article Synopsis
- ADHD is a common neurobehavioral disorder in kids and teens that needs early detection, and EEG connectivity measures can help improve its diagnosis.
- This study presents a new ADHD diagnostic approach using a combination of connectivity maps derived from EEG data and a specialized convolutional neural network (Att-CNN).
- The proposed method achieved high performance metrics (accuracy of 98.88% and F1 Score of 98.30%) with the help of advanced optimizers, suggesting it could significantly enhance early diagnosis and treatment efficacy for ADHD.
Gait Posture
September 2024
Article Synopsis
- * The study investigates two research questions: the effectiveness of analyzing limb interactions in the time-frequency domain for classifying NDDs and the use of color-coded images with deep learning models for the same purpose.
- * Models like AlexNet and GoogLeNet showed high accuracy in classifying gait signals from patients with various NDDs, with AlexNet reaching up to 99.20% accuracy, indicating that the methodology can significantly enhance diagnosis and treatment strategies.
