| dc.contributor.advisor | Al Nashash, Hasan | |
| dc.contributor.advisor | Tariq, Usman | |
| dc.contributor.advisor | Yahya, Fares | |
| dc.contributor.author | Badr, Yara | |
| dc.date.accessioned | 2023-08-31T07:01:52Z | |
| dc.date.available | 2023-08-31T07:01:52Z | |
| dc.date.issued | 2023-04 | |
| dc.identifier.other | 35.232-2023.18 | |
| dc.identifier.uri | http://hdl.handle.net/11073/25319 | |
| dc.description | A Master of Science thesis in Biomedical Engineering by Yara Badr entitled, “Detecting Mental Stress using EEG and Deep Learning”, submitted in April 2023. Thesis advisor is Dr. Hasan Al-Nashash and thesis co-advisors are Dr. Usman Tariq and Dr. Fares Al-Shargie. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). | en_US |
| dc.description.sponsorship | College of Engineering | en_US |
| dc.description.sponsorship | Multidisciplinary Programs | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | Master of Science in Biomedical Engineering (MSBME) | en_US |
| dc.subject | Electroencephalography (EEG) | en_US |
| dc.subject | Cortisol level | en_US |
| dc.subject | Mental stress | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | GCNN | en_US |
| dc.subject | Graph convolution neural network (GCNN) | en_US |
| dc.subject | Connectivity features | en_US |
| dc.subject | PDC | en_US |
| dc.subject | Partial Directed Coherence (PDC) | en_US |
| dc.subject | PSS | en_US |
| dc.subject | Perceived Stress Scale (PSS) | en_US |
| dc.title | Detecting Mental Stress using EEG and Deep Learning | en_US |
| dc.type | Thesis | en_US |
