Technical Program

BIO-L.4: Bio-signal Processing & Machine Learning for MCPS

Symposium: Advanced Bio-Signal Processing and Machine Learning for Medical Cyber-Physical Systems
Session Type: Lecture
Time: Wednesday, November 28, 11:00 - 12:30
Location: Magic Kingdom Ballroom 1
Session Chair: Arash Mohammadi, Concordia University
 
11:00 - 11:18
BIO-L.4.1: OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS
         Debadatta Dash; University of Texas at Dallas
         Paul Ferrari; University of Texas at Austin
         Saleem Malik; Cook Children’s Hospital
         Jun Wang; University of Texas at Dallas
 
11:18 - 11:36
BIO-L.4.2: HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?
         Debadatta Dash; University of Texas at Dallas
         Anil Kumar Sao; Indian Institute of Technology Mandi
         Jun Wang; University of Texas at Dallas
         Bharat Biswal; New Jersey Institute of Technology
 
11:36 - 11:54
BIO-L.4.3: STATIONPLOT: A NEW NON-STATIONARITY QUANTIFICATION TOOL FOR DETECTION OF EPILEPTIC SEIZURES
         Sawon Pratiher; Indian Institute of Technology Kharagpur
         Subhankar Chattoraj; Techno India University, West Bengal
         Rajdeep Mukherjee; Manipal University Jaipur
 
11:54 - 12:12
BIO-L.4.4: BAYESIAN FEATURE SELECTION WITH DATA INTEGRATION
         Ali Foroughi Pour; The Ohio State University
         Lori A. Dalton; The Ohio State University
 
12:12 - 12:30
BIO-L.4.5: A CONTEXT-INTEGRATING SIGNAL CLASSIFICATION MODEL FOR RESOLVING AMBIGUOUS STIMULI
         Rajesh Amerineni; Southern Illinois University
         Lalit Gupta; Southern Illinois University
         Resh Gupta; Vanderbilt University