[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

SK Khare, S March, PD Barua, VM Gadre, UR Acharya - Information Fusion, 2023 - Elsevier
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …

Advance machine learning methods for dyslexia biomarker detection: A review of implementation details and challenges

OL Usman, RC Muniyandi, K Omar, M Mohamad - IEEE Access, 2021 - ieeexplore.ieee.org
Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …

EEG based classification of children with learning disabilities using shallow and deep neural network

NPG Seshadri, S Agrawal, BK Singh… - … Signal Processing and …, 2023 - Elsevier
Learning disability (LD), a neurodevelopmental disorder that has severely impacted the lives
of many children all over the world. LD refers to significant deficiency in children's reading …

A comprehensive review of machine learning approaches for dyslexia diagnosis

N Ahire, RN Awale, S Patnaik, A Wagh - Multimedia Tools and …, 2023 - Springer
Electroencephalography (EEG) is the commonly employed electro-biological imaging
technique for diagnosing brain functioning. The EEG signals are used to determine head …

Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool

P Christodoulides, A Miltiadous, KD Tzimourta… - … Signal Processing and …, 2022 - Elsevier
The magnocellular pathway deficit theory has long been considered to be a possible cause
for dyslexia, providing an alternative method to explain auditory and visual processing …

[HTML][HTML] Developmental dyslexia detection using machine learning techniques: A survey

S Kaisar - ICT Express, 2020 - Elsevier
Developmental dyslexia is a learning disability that occurs mostly in children during their
early childhood. Dyslexic children face difficulties while reading, spelling and writing words …

A systematic review of research dimensions towards dyslexia screening using machine learning

TG Jan, SM Khan - Journal of The Institution of Engineers (India): Series B, 2023 - Springer
Dyslexia is the hidden learning disability, neurobiological in origin wherein students face
hard time in accurate or fluent word recognition, connecting letters to the sounds. In India …

[HTML][HTML] Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

NJ Gallego-Molina, A Ortiz, FJ Martínez-Murcia… - Knowledge-Based …, 2022 - Elsevier
Complex network analysis has an increasing relevance in the study of neurological
disorders, enhancing the knowledge of brain's structural and functional organization …

[PDF][PDF] Towards detecting dyslexia in children's handwriting using neural networks

K Spoon, D Crandall, K Siek - … on machine learning AI for social …, 2019 - katiespoon.github.io
Literacy is the most reliable indicator for future success (Ritchie & Bates, 2013). Dyslexia is a
learning disability that hinders a person's ability to read (Learning Disabilities Association of …

EEG based functional brain network analysis and classification of dyslexic children during sustained attention task

NPG Seshadri, BK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reading is a complex cognitive skill that involves visual, attention, and linguistic skills.
Because attention is one of the most important cognitive skills for reading and learning, the …