HST.582J/6.555J/16.456J
Laboratory Topics


Laboratory Projects:

Fundamentals of MATLABŪ
Optional introduction/review of software package used throughout the semester. (1 week)
  1. ECG Filtering and Frequency Analysis of the Electrogram
    Design filters to remove noise from electrocardiogram (ECG) signals and then design a system to detect life-threatening ventricular arrhythmias. The detector is tested on normal and abnormal ECG signals. (3 weeks)
     
  2. Speech Coding
    Implement, test, and compare two speech analysis-synthesis systems. These systems utilize a pitch detector and a speech synthesizer based on the source-filter model of speech production. (3 weeks)
     
  3. ECG: Blind Source Separation
    Separate fetal and maternal ECG signals using techniques based on second- and higher-order statistical methods. Techniques include Wiener filtering, principal component analysis, and independent component analysis. (2 weeks)
     
  4. Image Registration
    Explore the co-registration of medical images, focusing on 2-D to 2-D (slice to slice) registration and using non-linear optimization methods to maximize various measures of image alignment. (2 weeks)
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  6. Image Segmentation
    Process clinical MRI scans of the human brain to reduce noise, label tissue types, extract brain contours, and visualize 3-D anatomical structures. (2 weeks)