Detection of autism spectrum disorder based on time domain electroencephalogram signal using enhanced BILSTM models
The global prevalence of Autism Spectrum Disorder (ASD) has driven researchers to develop well-defined automated approaches for early detection, surpassing standard behavioral assessments. Behavioral assessment methods face challenges to detect ASD at early stage because pronounced symptoms of autis...
| Auteur principal: | |
|---|---|
| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2024
|
| Accès en ligne: | http://eprints.utem.edu.my/id/eprint/28564/1/Detection%20of%20autism%20spectrum%20disorder%20based%20on%20time%20domain%20electroencephalogram%20signal%20using%20enhanced%20BILSTM%20models.pdf http://eprints.utem.edu.my/id/eprint/28564/2/Detection%20of%20autism%20spectrum%20disorder%20based%20on%20time%20domain%20electroencephalogram%20signal%20using%20enhanced%20BILSTM%20models.pdf |
Internet
http://eprints.utem.edu.my/id/eprint/28564/1/Detection%20of%20autism%20spectrum%20disorder%20based%20on%20time%20domain%20electroencephalogram%20signal%20using%20enhanced%20BILSTM%20models.pdfhttp://eprints.utem.edu.my/id/eprint/28564/2/Detection%20of%20autism%20spectrum%20disorder%20based%20on%20time%20domain%20electroencephalogram%20signal%20using%20enhanced%20BILSTM%20models.pdf