Technical Program

BIO-L.3: Neural Signal Processing and BCI Systems

Symposium: Advanced Bio-Signal Processing and Machine Learning for Medical Cyber-Physical Systems
Session Type: Lecture
Time: Tuesday, November 27, 15:50 - 17:20
Location: Magic Kingdom Ballroom 1
Session Chair: Farokh Atashzar, University of Western Ontario
 
15:50 - 16:08
BIO-L.3.1: CHARACTERIZING UNOBSERVED FACTORS DRIVING LOCAL FIELD POTENTIAL DYNAMICS UNDERLYING A TIME-VARYING SPIKE GENERATION
         Kaiser Niknam; University of Utah
         Amir Akbarian; University of Utah
         Behrad Noudoost; University of Utah
         Neda Nategh; University of Utah
 
16:08 - 16:26
BIO-L.3.2: A GENERALIZABLE MODEL FOR SEIZURE PREDICTION BASED ON DEEP LEARNING USING CNN-LSTM ARCHITECTURE
         Mohamad Shahbazi; Sharif University of Technology
         Hamid Aghajan; Sharif University of Technology
 
16:26 - 16:44
BIO-L.3.3: A COMPARATIVE STUDY OF FEATURES AND CLASSIFIERS IN SINGLE-CHANNEL EEG-BASED MOTOR IMAGERY BCI
         Suguru Kanoga; National Institute of Advanced Industrial Science and Technology (AIST)
         Atsunori Kanemura; National Institute of Advanced Industrial Science and Technology (AIST)
         Hideki Asoh; National Institute of Advanced Industrial Science and Technology (AIST)
 
16:44 - 17:02
BIO-L.3.4: IMPROVING THE PERFORMANCE OF MOTOR IMAGERY EEG-BASED BCIS VIA AN ADAPTIVE EPOCH TRIMMING MECHANISM
         Golnar Kalantar; Concordia University
         Mahsa Mirgholami; Concordia University
         Amir Asif; Concordia University
         Arash Mohammadi; Concordia University
 
17:02 - 17:20
BIO-L.3.5: POLARITY INVARIANT TRANSFORMATION FOR EEG MICROSTATES ANALYSIS
         Obada Al Zoubi; The University of Oklahoma
         Ahmad Mayeli; The University of Oklahoma
         Vadim Zotev; Laureate Institute for Brain Research
         Hazem Refai; Laureate Institute for Brain Research
         Martin Paulus; Laureate Institute for Brain Research
         Jerzy Bodurka; Laureate Institute for Brain Research