Biomedical signal processing syllabus

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Biomedical signal processing syllabus

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Biomedical signal processing syllabus

  1. 1. EES6004-Biomedical Signal Processing Teachers: Dr. M. Sabarimalai Manikandan and Dr. Debi Prosad Dogra Course Prerequisites: Digital Signal Processing and MATLAB Programming Grading Plan: • Mid-Semester Examination (30%): o Question Pattern: Individual Term Project (10%) + Course Topics (20%) • End-Semester Examination (50%): o Question Pattern: Individual Term Project (20%) + Course Topics (30%) • Project Evaluation (15%): Final MATLAB code, final spec, final README and technical report explaining how your project works and what you did and did not get finished. • Quizzes (5%): Expect to show what you know on at least one quiz each month.
  2. 2. Course Syllabus Lecture Number Course Topics Instructor Lecture 01 • Objectives of Biomedical Signal Processing • Research Challenges in Physiological Signal Monitoring and Diagnosis • Recent Trends in Healthcare Monitoring and Diagnostic Systems MSM/DPD Lecture 01 • Human Anatomy and Physiology • Physiological Systems • Different types of biomedical signals DPD Lecture 02 Membrane Cell Physiology • Membrane Structure and Skeletal muscle activity • Generation and transmission of bioelectricity in excitable cells; ionic transport in cellular membranes; propagation of electricity within and between cells; cardiac and neural physiology; measurement of extracellular fields; electrical stimulation of excitable cells. DPD
  3. 3. • Ionic permeability and membrane potential – Nernst & Goldman equations • Muscle Action potential – voltage dependent Na+ channel, activation and inactivation, and propagation • Depolarization, repolarization and Plateau phase in Action potential • Nervous Systems Lecture 03 • Electrocardiography DPD Lecture 04 • Phonocardiography • Electrocorticography • Abdominal Electrocardiography DPD Lecture 05 • Electroencephalography • Magnetoencephalography • Electroretinography • Electrooculography DPD Lecture 06 • Respiratory Sounds DPD Lecture 07 • Electrogastrography • Electromyography • Mechanomyography DPD
  4. 4. • Vibroarthrography MID-SEMESTER EXAMINATION Lecture 08 Biosignal Recording System • Spectral Characteristics of Biosignals • Biosensors and Analog Frond-End for Signal Acquisition • Sampling, Quantization and Encoding • Multi-rate Systems • Compressed Sensing • Lossless Data Compression MSM Lecture 09 Biosignal Signal Analysis • Time-Domain Analysis of Biosignals • Statistical Analysis of biosignals: HOS, SVD, PCA and ICA • Information-theoretic Analysis MSM Lecture 10 Time and Frequency Domain Analysis • Fourier Spectrum of Biosignals • Short-time Fourier Transform and Spectrogram • Discrete Cosine Transform (DCT) and its Applications MSM
  5. 5. • Wavelet Transform and Time-Frequency Analysis • Hilbert Transform and its Application • Empirical Mode Decomposition and Empirical Wavelet Transform • Correlation Analysis and Power Spectral Estimation Lecture 11 Digital Filters for Biosignal Applications • Illustration of different types of artifacts and Noise • Time Domain Filters • Frequency Domain Filters • Notch and Comb Filters • Optimal Filtering • Adaptive Filters • Signal Decomposition based Filtering MSM Lecture 12 Event Detection and Feature Extraction Techniques • Signal Segmentation • Envelope Extraction and Analysis • Temporal and Spectral Features • Statistical Features • Information-Theoretic Features MSM
  6. 6. • Cross-spectral Features • Waveform Complexity Lecture 13 Modeling Biomedical Systems • Autoregressive or All-pole Modeling • Pole-zero Modeling • Spectral Modeling Pattern Classification and Diagnostic Decision • Supervised and Unsupervised Classification • Probabilistic Models and Statistical Decision Performance Measures for Detection and Classification System MSM Lecture 14 Overview of Biosignal Processing Systems • Heart Rate Variability Analysis • Computer Aided Auscultation • Sleep Apnea Monitoring • ECG Wave Delineation • ECG Beat Classification • Brainwave Classification • Epileptic Seizure Detection MSM
  7. 7. • Affective Computing • Assistive Technology • Event Change Detection • Augmented Reality Medical Systems Reference Textbooks [1]. Rangaraj M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach, Publisher: Wiley India; Publishing Date: 2009 [2]. Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley-Interscience; 1 edition (November 20, 2000) [3]. John L. Semmlow, Biosignal and biomedical image processing: MATLAB-based applications, CRC; 1 edition, 2004. [4]. Metin Akay, Time Frequency and Wavelets in Biomedical Signal Processing, Wiley-IEEE Press; 1 edition (October 24, 1997) [5]. Stephane Mallat, A Wavelet Tour of Signal Processing: The Sparse Way, third edition, Academic Press [6]. Monson H Hayes, Statistical Digital Signal Processing And Modeling, Wiley [7]. J. Proakis and D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 4th edition, Prentice-Hall. [8]. Li Tan, Digital Signal Processing: Fundamentals and Applications, Elsevier, 2008. [9]. Mrinal Mandal, Amir Asif, Continuous and Discrete Time Signals and Systems, Cambridge University Press, 2008. [10]. Instructor's Notes
  8. 8. Programming Language: MATLAB Journals in the Field of Biomedical Engineering International Conferences in the Field of Biomedical Engineering • IEEE Transactions on Biomedical Engineering • IEEE Journal on Biomedical and Health Informatics • IEEE Transactions on Neural Systems and Rehabilitation Engineering • IEEE Signal Processing and IEEE Signal Processing Letters • Electronics Letters • Healthcare Technology Letters • Signal Processing (Elsevier) • Digital Signal Processing (Elsevier) • Biosignal Processing and Control(Elsevier) • Medical Engineering Physics (Elsevier) • Computers in Biology and Medicine (Elsevier) • Annals of Biomedical Engineering (Springer) • Cardiovascular Engineering and technology (Springer) • Medical & Biological Engineering & Computing (Springer) • Medical System (Springer) • Annual International Conference of the IEEE Engineering in Medicine and Biology Society • IEEE-EMBS International Conference on Biomedical and Health Informatics • Computing in Cardiology Biomedical Engineering Society • IEEE Engineering in Medicine and Biology Society (IEEE-EMBS) • Biomedical Engineering Society (BMES)

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