PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection

PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection

<p dir="ltr">Diagnosing Autism spectrum disorder (ASD) is a challenging task for clinicians due to the inconsistencies in existing medical tests. The Internet of things (IoT) has been used in several medical applications to realize advancements in the healthcare industry. Using machi...

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Bibliographic Details
Main Author: Samir Brahim Belhaouari (9427347) (author)
Other Authors: Abdelhamid Talbi (19437823) (author), Saima Hassan (14918003) (author), Dena Al-Thani (16864245) (author), Marwa Qaraqe (10135172) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Neurosciences
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Machine learning
progressive Fourier transform
BOLD signal
resting state
default-mode network
fMRI data
CNN
SVM
KNN
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