Week |
Subjects |
Files |
#1 |
Introduction: Pattern recognition basics |
none yet |
#2 |
Data Acquisition Stage: Origins of biomedical signals, Cellular physiology |
none yet |
#3 |
Preprocessing Stage: Noise removal, Data transformation, Artifact removal, Interpolation, Detrending |
none yet |
#4 |
Feature Extraction Stage: Basic Statistics, Frequency-domain features |
none yet |
#5 |
Feature Extraction Stage: Time-Frequency-domain features, Wavelets |
none yet |
#6 |
Feature Extraction Stage: Nonlinear time series analysis, Chaos theory |
none yet |
#7 |
Feature Selection Stage: Optimal selection, Statistical methods, Genetic algorithms, Artificial immune system |
none yet |
#8 |
Classification Stage: Bayes, Expectation maximization, LDA, k-Means clustering |
none yet |
#9 |
Classification Stage: Statistical classifiers, k-Nearest neighbors, Parzen window |
none yet |
#10 |
Classification Stage: Artificial Neural Networks, Fuzzy Logic |
none yet |
#11 |
Model Evaluation Stage: Performance assesment, Cross-validation |
none yet |
#12 |
Statistical Analysis: Experiment design, Statistics |
none yet |
#13 |
Handing in your reports and making presentations of the chapter numbers given from "The Biomedical Engineering Handbook", Second Edition, Ed. Joseph D. Bronzino:
- S.Nihal Agaoglu: 175
- Serdar Gundogdu: 176
- Murat Surucu: 177
- Ali Narin: 178
- Ezgi Aras: 179
|
none yet |
#14 |
Handing in your reports and making presentations of the chapter numbers given from "The Biomedical Engineering Handbook", Second Edition, Ed. Joseph D. Bronzino:
- S.Nihal Agaoglu: 186, 187
- Serdar Gundogdu: 185
- Murat Surucu: 183, 184
- Ali Narin: 182
- Ezgi Aras: 181
|
none yet |