PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
में बचाया:
| मुख्य लेखक: | |
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| निगमित लेखक: | |
| स्वरूप: | पुस्तक |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Dhaka :
BME DEPT. MIST,
c2023.
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| विषय: | |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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समान संसाधन: 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 /