Machine learning approaches for detecting depression using eeg signals
The burden of neurological disorders continues to grow, as an estimated 264 million people currently suffer from depression worldwide. Due to the stigma surrounding mental illness and to the standard diagnostic approach being so human-intensive, depressed individuals are less likely to seek help. Ad...
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | http://hdl.handle.net/10400.14/37977 |
| País: | Portugal |
| Oai: | oai:repositorio.ucp.pt:10400.14/37977 |