Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images

Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images

Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental disorder, which is characterized by inattention, hyperactivity and impulsive behaviors. In particular, children have difficulty keeping still exhibiting increased fine and gross motor activity. This paper focuses on analyzin...

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Bibliographic Details
Main Authors: Mario Muñoz-Organero, Lauren Powell, Ben Heller, Val Harpin, Jack Parker
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
ADHD
tri-axial accelerometers
deep learning
convolutional neural networks (CNN)
Online Access:https://www.mdpi.com/1424-8220/18/11/3924

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