Sleep stage classification based on single-channel EEG and a multi-scale residual network
M: Medicine – Surgery – Orthopaedics – Material for disabled
Informations
- Stand number
- C25
- Exhibition class
- M: Medicine – Surgery – Orthopaedics – Material for disabled
- Technical description
- System that is for quantitatively explore the sleep-emotion link using EEG,leveraging deep learning and emotion priors to identify distinct "emotional rhythms" or "fingerprints" for targeted interventions in sleep.
- Simplified description
- A system uses brainwave data and advanced deep learning to explore the connection between sleep and emotions. It identifies unique patterns, or "emotional rhythms," which can help create specific sleep interventions to improve well-being.
Inventors
Sun Yat-sen University
inventor 3701634044_4291
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