Biosignal Processing and Data Mining


Synopsis Biosignal enhancement, feature extraction and physiological interpretation are important aspects in biomedical engineering field. Various biosignals can be manipulated through proper representation, transformation, visualization and optimization. This course will introduce fundamental concepts and approaches, such as filtering, detection, estimation, and classification, for various biosignal processing and data mining. It will provide students a brief picture of biosignal from detection to application by following the course "Introduction to Biosignal Detection".
Main Topics
  • Introduction

  • Signal separation and decomposition

  • Signature/event detection

  • Signal/data preprocessing

  • Time domain analysis of HRV

  • Frequency domain analysis of HRV

  • Nonlinear domain analysis of HRV

  • Classification and clustering




  • Instructor Wenxi Chen
    E-mail: wenxi@u-aizu.ac.jp
    Office: 326-C
    Teaching Assistant
    Time and Place Tuesday 10:40 - 12:10, Friday 10:40 - 12:10, S2
    10/6, 10/13, 10/16, 10/20, 10/23, 10/27, 10/30, 11/6, 11/10, 11/13, 11/17, 11/20, 11/24, 11/27, 12/1
    Schedule Change
    Evaluation Programming tasks and research report
    Reference Books
  • Biomedical Signal Processing and Signal Modeling,
    Eugene N. Bruce

  • Biomedical Signal Analysis: A Case-Study Approach,
    Rangaraj M. Rangayyan

  • Practical Biomedical Signal Analysis Using MATLAB,
    Katarzyn J. Blinowska and Jaroslaw Zygierewicz

  • Useful Websites
  • Statistical Data Mining Tutorials,
    Andrew Moore

  • Statistical Digital Signal Processing and Modeling,
    Monson H. Hayes

  • A Wavelet Tour of Signal Processing, 2nd Edition,
    Stephane Mallat



  • Created and updated by Wenxi Chen, 2015