PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS /

Gelijkaardige items

• PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS
  door: RAHMAN, M. N. NASHID
  Gepubliceerd in: (2024)
• CLASSIFICATION PERFORMANCE EVALUATION OF DIFFERENT RHYTHMIC BANDS OF EEG BASED ANESTHESIA MONITORING /
  door: Das, Pratik
  Gepubliceerd in: (2022)
• DEVELOPING A STANDARD MATHEMATICAL METHOD TO MEASURE THE LEVEL OF INTER-TRIAL & INTER-SUBJECT INCONSISTENCY FOR EEG SIGNAL /
  door: Nur, Saowmi Mushrara
  Gepubliceerd in: (2024)
• DEVELOPMENT OF THE SMARTPHONE ACCESSING FACILITIES AND SELF OPERATED WHEELCHAIR FOR THE UPPER LIMB PARALYZED PATIENT THROUGH TDS (TONGUE DRIVE SYSTEM) /
  door: Rahman, Tarin
  Gepubliceerd in: (2019)
• DEVELOPMENT OF A SMART PATIENT-DATA MANAGEMENT SYSTEM FOR HOSPITALS /
  door: Hasan, Mahmud
  Gepubliceerd in: (2022)