This is an introductory course in biomedical signal and image acquisition and processing. The signal module includes a review of biopotential (heart, brain, muscle electrical activities) and non-biopotential signals (acoustics and body motions, etc.), time-domain analysis, frequency-domain analysis, and an introduction to linear and non-linear analyses. The image module includes review of major medical imaging modalities (x-ray, computed tomography, magnetic resonance imaging, and ultrasound), image filtering, image registration, and image segmentation. The course concludes with a discussion of pattern recognition in biomedical images using well-known artificial intelligence models for applications in diagnostics, therapeutics, and interventions. Students experimentally practice some of the signal acquisition and processing techniques in the laboratory. (Lec: 3, Lab: 0.5, Tut: 0)
This is an introductory course in biomedical signal and image acquisition and processing. The signal module includes a review of biopotential (heart, brain, muscle electrical activities) and non-biopotential signals (acoustics and body motions, etc.), time-domain analysis, frequency-domain analysis, and an introduction to linear and non-linear analyses. The image module includes review of major medical imaging modalities (x-ray, computed tomography, magnetic resonance imaging, and ultrasound), image filtering, image registration, and image segmentation. The course concludes with a discussion of pattern recognition in biomedical images using well-known artificial intelligence models for applications in diagnostics, therapeutics, and interventions. Students experimentally practice some of the signal acquisition and processing techniques in the laboratory. (Lec: 3, Lab: 0.5, Tut: 0)
