Benzer Materyaller: 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 /
Konu (Topic): Biomedical Engineering.
- ADVANCED TECHNOLOGIES IN RADIOTHERAPY FOR INTRA-FRACTIONAL MOTION OF TUMOUR : IMAGE GUIDED RADIOTHERAPY (IGRT) /
- ANALYSIS OF QUALITY CONTROL OF GAMMA CAMERA SPECT SYSTEM BY USING LOCALLY DEVELOPED BAR PHANTOM /
- DEVELOPMENT OF GLUCOSE FOR ORAL GLUCOSE TOLERANCE TEST TO REDUCE BIOLOGICAL VARIATIONS IN DIABETES PATIENTS IN BANGLADESH /
- CT-SCAN BASED BRAIN HEMORRHAGE AND MR IMAGE BASED BRAIN TUMOR DETECTION /
- CYTOKINE PROFILING OF PATHOGENIC T-HELPER CELLS IN THE CHILDREN WITH AUTISM /
- DEVELOPMENT OF AN OBJECT ORIENTED WATER PHANTOM FOR IDENTIFICATION OR LOCALIZATION OF MULTIPLE VOLUMETRIC /
Konu (Topic): This Thesis Paper of BME in M.Sc. Program.
- DEVELOPMENT OF CHICKEN EGG WHITE AND MUPIROCIN LOADED HYDROGEL DRESSING MATERIAL FOR INHIBITION OF BACTERIAL GROWTH /
- DEVELOPMENT OF A CLINICAL DIAGNOSIS AND DECISION SUPPORT SYSTEM FOR CHEST RADIOGRAPHY USING CNN /
- ATTEMPTED MOVEMENT CLASSIFICATION OF SPINAL CORD INJURED PATIENTS COMBINING CNN AND LSTM NETWORK /
- DEVELOPMENT OF CERAMIDE AND HONEY BASED BIODEGRADABLE DRESSING MATERIALS FOR THE APPLICATION TO BURN SKIN /
- PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /
Yazar: Rahman, M. N. Nashid
Yazar: Supervised by Asst. Prof. Dr. Md. Asadur Rahman
- DEVELOPMENT OF A CLINICAL DIAGNOSIS AND DECISION SUPPORT SYSTEM FOR CHEST RADIOGRAPHY USING CNN /
- ATTEMPTED MOVEMENT CLASSIFICATION OF SPINAL CORD INJURED PATIENTS COMBINING CNN AND LSTM NETWORK /
- PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /