ATTEMPTED MOVEMENT CLASSIFICATION OF SPINAL CORD INJURED PATIENTS COMBINING CNN AND LSTM NETWORK
Electro encephalography (EEG) can b e used to classify attempted hand movements of Spinal Cord Injured (SCI) patients for improving their quality of life. EEG classifiation with Brain-Computer Interface (BCI) allows individuals who are suffring from the most severe motor disabilities to control a...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Thesis |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Department of Biomedical Engineering, MIST
2024
|
| Διαθέσιμο Online: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/817 |
| Ετικέτες: |
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
Παρόμοια τεκμήρια: ATTEMPTED MOVEMENT CLASSIFICATION OF SPINAL CORD INJURED PATIENTS COMBINING CNN AND LSTM NETWORK
- ATTEMPTED MOVEMENT CLASSIFICATION OF SPINAL CORD INJURED PATIENTS COMBINING CNN AND LSTM NETWORK /
- A MULTI-CNN FEATURE FUSION FRAMEWORK WITH CUSTOM CLASSIFICATION NETWORK FOR EFFICIENT SATELLITE IMAGE CLASSIFICATION /
- Umbilical cord blood banking and transplantation /
- Neuromechanics of Human Movement /
- Language Movement And The Making of Bangladesh /
- A COMBINED APPROACH OF DIGITAL SIGNAL PROCESSING AND MACHINE LEARNING ALGORITHM FOR FAST AND ACCURATE GENOME CLASSIFICATION /