PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
Сохранить в:
| Главный автор: | |
|---|---|
| Соавтор: | |
| Формат: | |
| Язык: | английский |
| Опубликовано: |
Dhaka :
BME DEPT. MIST,
c2023.
|
| Предметы: | |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
Схожие документы: PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
- PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS
- CLASSIFICATION PERFORMANCE EVALUATION OF DIFFERENT RHYTHMIC BANDS OF EEG BASED ANESTHESIA MONITORING /
- DEVELOPING A STANDARD MATHEMATICAL METHOD TO MEASURE THE LEVEL OF INTER-TRIAL & INTER-SUBJECT INCONSISTENCY FOR EEG SIGNAL /
- DEVELOPMENT OF THE SMARTPHONE ACCESSING FACILITIES AND SELF OPERATED WHEELCHAIR FOR THE UPPER LIMB PARALYZED PATIENT THROUGH TDS (TONGUE DRIVE SYSTEM) /
- DEVELOPMENT OF A SMART PATIENT-DATA MANAGEMENT SYSTEM FOR HOSPITALS /
- AFFECTIVE STATE RECOGNITION THROUGH EEG SIGNALS FEATURE LEVEL FUSION AND ENSEMBLE CLASSIFIER /