Anxiety classification using EEG signals
Anxiety is a serious issue that has been affecting the mental health of people across the world. Anxiety is known as a sensation of worry, dread, and unease. It is a normal phenomenon as it happens when one starts to perspire, become agitated and anxious, and experience rapid heartbeat. However, i...
Saved in:
Main Author: | Ong, Ching Wei |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/4828/1/fyp_ES_OCW_2022.pdf http://eprints.utar.edu.my/4828/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature extraction of EEG signals and classification using FCM
by: Mohd. Aris, Siti Armiza, et al.
Published: (2011) -
Classification of EEG Signal for Body Earthing Application
by: Noor Aisyah , Ab Rahman, et al.
Published: (2017) -
Classification of mental tasks using de-noised EEG Signals
by: Mohd Daud, Salwani, et al.
Published: (2004) -
Classification of mental tasks using de-noised EEG signals
by: Daud, Salwani, et al.
Published: (2004) -
Classification of motor imaginary EEG signals using machine learning
by: Abdeltawab, Amr, et al.
Published: (2020)