Biomedical Signal Processing, Spring 2018
Jacobs University Bremen, Spring 2018, Fatemeh Hadaeghi
Course Description:
Biomedical signal processing (BSP) is about algorithms for processing a
particular class of digital signals which are acquired in biomedical
research and clinical medicine. Biomedical signals are recordings of
physiological activities of organisms, ranging from gene and protein
sequences, to neural and cardiac rhythms, to tissue and organ images.
Electrocardiogram (ECG), electroencephalogram (EEG), electromyogram
(EMG) and various sensory evoked potentials are a few examples of such
bioelectric signals. In spite of slight differences in origins and data
acquisition procedures, all recorded vital signals share common
characteristic features (in different space and time scales) and suffer
from common disturbances and artifacts. Biomedical signal processing
aims at extracting significant information from such signals. A large
number of processing algorithms have been particularly proposed to
suppress disturbances in physiological recordings and facilitate
diagnostic feature extraction. With the aid of biomedical signal
processing, biologists and neuroscientists can develop hypotheses to
explain physiological functions and physicians can monitor distinct
states of malfunctions/disorders. This lecture briefly introduces
bio-electrical phenomena, data acquisition procedures, filtering
fundamentals, spectrum estimation and feature extraction. In addition,
it provides a few examples of elementary linear and non-linear modeling
formalisms. Although the topics covered by this lecture are specialized
for processing of vital signals, the introduced method are generally
described to be applicable in problems of other fields of science and
technology.
Assignments:
There will be four series of assignments: 1- theoretical questions on
electrophysiology and bioelectric phenomena, 2- theoretical problems on
the basics of digital signal processing, 3- programming homework on EEG
processing and 4- programming homework on ECG processing.
Exercise sheet 1
Exercise sheet 1: Solutions
Exercise sheet 2
Exercise sheet 2: Solutions
Grading:
The final course grade will be determined as follows: 1- Class
attendance (presence sheets) will count for 10% of the final
grade, 2- three mini-quizzes which each will account to 10% of the final
grade, 3- homework will count for 20% of the final grade and 4-
a take home final exam will count for 40% of the final
grade.
Quiz 3 (15.05.2018)
Topics:
- Chapter 1: Introduction
- Chapter 2: The origin of bioelectric signals
- Chapter 3: Digital Signal Processing
- Chapter 4: EEG- A Brief Introduction
- Chapter 5: EEG Signal Processing
- Chapter 6: ECG- A Brief Introduction
- Chapter 7: ECG Signal Processing
Literature
Primary text:
-
self-contained lecture notes (will be uploaded weekly)
Course Content
Chapter 1: An Introduction to Biomedical Signal Processing
Chapter 2: The Origin of Bioelectric Signals
Chapter 3: Principles of Digital Signal Processing, Part 1
Chapter 3: Principles of Digital Signal Processing, Part 2
Chapter 3: Principles of Digital Signal Processing, Part 3
Chapter 4: EEG- A Brief Introduction (supplementary: Action potential, EEG recording)
Chapter 5: EEG- Signal Processing, Part 1
Chapter 5: EEG- Signal Processing, Part 2
Chapter 5: EEG- Signal Processing, Part 3
Required reading:
- Alan, V. Oppenheim, W. Schafer Ronald, and R. B. John. “Discrete-time signal processing.” New Jersey, Printice Hall Inc (1989).
- Cohen, Arnon. Biomedical Signal Processing: Time and frequency domains analysis, Volume I. CRC-Press, 1986.
Recommended reading:
- Alan, V. Oppenheim, W. Schafer Ronald, and R. B. John. Discrete-time signal processing. New Jersey, Printice Hall Inc (1989).
- Cohen, Arnon. Biomedical Signal Processing: Time and frequency domains analysis, Volume I. CRC-Press, 1986.
- Proakis, John G., and Dimitris G. Manolakis. Digital signal processing: principles, algorithms, and applications. (1996).
- Cohen, Arnon. Biomedical Signal Processing: Compression and automatic recognition, Volume II. CRC-Press, 1986.
- Rangayyan, Rangaraj M. Biomedical signal analysis. Vol. 33. John Wiley & Sons, 2015.
- Sörnmo, Leif, and Pablo Laguna. Bioelectrical signal processing in cardiac and neurological applications. Vol. 8. Academic Press, 2005.
- Van Drongelen, Wim. Signal processing for neuroscientists: an introduction to the analysis of physiological signals. Academic press, 2006.
- Najarian, Kayvan, and Robert Splinter. Biomedical signal and image processing. CRC press, 2005.
- Cerutti, Sergio, and Carlo Marchesi, eds. Advanced methods of biomedical signal processing. Vol. 27. John Wiley & Sons, 2011.
- Akay, Metin. Biomedical signal processing. Academic Press, 2012.
- Devasahayam, Suresh R. Signals and systems in biomedical engineering: signal processing and physiological systems modeling. Springer Science & Business Media, 2012.
- Sanei, Saeid, and Jonathon A. Chambers. EEG signal processing. John Wiley & Sons, 2013.
- Acharya, Rajendra, et al., eds. Advances in cardiac signal processing. Berlin: Springer, 2007.