Decoding Electrocorticography Signals by Deep Learning for Brain-Computer Interface
Brain-Computer Interface (BCI) offers the opportunity to paralyzed patients to control their movements without any neuromuscular activity. Signal processing of neuronal activity enables to decode movement intentions. Ability for patient to control an effector is closely linked to this decoding perfo...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för kemi, bioteknologi och hälsa (CBH)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-243903 |