[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review
There are growing application of machine learning models to study the intricacies of non-
linear and non-stationary characteristics of electroencephalography (EEG) and …
linear and non-stationary characteristics of electroencephalography (EEG) and …
[HTML][HTML] A simple and effective approach based on a multi-level feature selection for automated Parkinson's disease detection
Parkinson's disease (PD), which is a slowly progressing neurodegenerative disorder,
negatively affects people's daily lives. Early diagnosis is of great importance to minimize the …
negatively affects people's daily lives. Early diagnosis is of great importance to minimize the …
A new deep technique using R-CNN model and L1NSR feature selection for brain MRI classification
One of the most dangerous diseases in the world is brain tumors. After the brain tumor
destroys healthy tissues in the brain, it multiplies abnormally, causing an increase in the …
destroys healthy tissues in the brain, it multiplies abnormally, causing an increase in the …
[HTML][HTML] Intellectually able adults with autism spectrum disorder show typical resting-state EEG activity
There is broad interest in discovering quantifiable physiological biomarkers for psychiatric
disorders to aid diagnostic assessment. However, finding biomarkers for autism spectrum …
disorders to aid diagnostic assessment. However, finding biomarkers for autism spectrum …
Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Neurodevelopmental disorders (NDs) often hamper multiple functional prints of a child brain.
Despite several studies on their neural and speech responses, multimodal researches on …
Despite several studies on their neural and speech responses, multimodal researches on …
A preliminary study of brain connectivity in autism using affection-evoked movie clips
K Yang, J Chen, C Cai - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Recent study have shown that electroencephalogram (EEG) is an effective and efficient
strategy to analyze the abnormality of children with autism. Much of the work on Autism …
strategy to analyze the abnormality of children with autism. Much of the work on Autism …
Designing a BCI Platform with Embedded ANN as an Aid for Autism Spectrum Disorder (ASD) Diagnosis: A Preliminary Study
G Vilchis, R Baltazar, A Alanis… - … Symposium on Agent …, 2023 - Springer
This paper presents a technical approach to the design of a cost-effective BCI platform from
the hardware construction based on commercial components to the firmware. This device …
the hardware construction based on commercial components to the firmware. This device …
A machine learning framework for analysis of resting-state EEG in patients
Q Li - 2022 - orbit.dtu.dk
The neural mechanisms underlying most psychiatric disorders remain unclear. Many
researchers have employed neuroimaging to investigate the neural differences associated …
researchers have employed neuroimaging to investigate the neural differences associated …