PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
Wedi'i Gadw mewn:
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| Awdur Corfforaethol: | |
| Fformat: | Llyfr |
| Iaith: | Saesneg |
| Cyhoeddwyd: |
Dhaka :
BME DEPT. MIST,
c2023.
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| Pynciau: | |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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Eitemau Tebyg: 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 /