Latief, Zulikah (2022) Correcting for physical activity confounders of Heart Rate Variability using Machine Learning and Reservoir Computing. Master's Thesis / Essay, Artificial Intelligence.
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Abstract
De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Supervisor name: | Vugt, M.K. van |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 07 Oct 2022 13:40 |
| Last Modified: | 07 Oct 2022 13:40 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/28821 |
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