生醫信號分析和模擬

The development of techniques to analyze biomedical signals, such as ECG, EMG, EEG, and MEG, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and rehabilitation and sensory aids for the handicapped. The most important physiological signals represent analog signals that are digitized for the purposes of storage and data analysis. The nature of medical images is very broad; it is as simple as a chest X-ray or as sophisticated as noninvasive brain imaging, such as fMRI. This course gives the details of biological signal and image analysis, and describes the basic model of computer-aided systems as a common basis enabling the study of several problems of medical-imaging-based diagnostics.

Calculus, Signal and System, Digital Signal Processing

1. Homework and Assignments: 20% 2. Class participation: 20% 3. Midterm exams: 40% 4. Final project: 20%

1. Biomedical Signal Analysis: Contemporary Methods and Applications, Fabian J. Theis and Anke Meyer-Base, the MIT Press, 2010 2. Biomedical Signal Analysis: A Case-Study Approach, Rangaraj M. Rangayyan, IEEE Press Series on Biomedical Engineering, Wiley-IEEE press, 2001 3. Class notes

地點

EE767

時間

Tuesday EF

聯絡方式

03-5131567