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Biomedical Signal Processing, 6 credits
Analys av bioelektriska signaler, 6 hp
TBMT01
Main field of study
Electrical Engineering Biomedical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Ingemar FredrikssonDirector of studies or equivalent
Marcus LarssonEducation components
Preliminary scheduled hours: 48 hRecommended self-study hours: 112 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Electrical Engineering, Biomedical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Biomedical Engineering, Master's Programme
- Computer Science and Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Biomedical Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Engineering Biology, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Signal Theory, Anatomy and Physiology. Experience of Computer programming.
Intended learning outcomes
The course gives an in-depth analysis of the origin and processing of bioelectrical signals in humans. The analysis is related to differentiating between healthy and pathological conditions and emerges from clinical situations and issues. After completing the course the students are able to independently:
- Describe, apply and evaluate physical, electrical and mathematical models for the origin of bioelectrical signals in the cell, and their conduction in nerves and in tissue.
- Give an in-depth description of bioelectricity in the heart and in the central and peripheral nervous system.
- Describe and evaluate the most important bioelectrical measurement methods: The ECG, the EEG and the EMG, in relation to normal and pathological condiitions.
- Apply and evaluate different methods for signal processing of the ECG, the EEG and the EMG, with respect to time- and frequency domain analysis.
- Describe, apply and evaluate Fouriertransform based methods for signal processing.
Course content
Signal analysis: time- and frequency, sampling, digital signals, Fouriertransform (FFT), estimation of the power spectrum, input windows, leakage, aliasing, convolution and correlation properties, z-transform, digital filters
Physiological and mathematical models of bioelectricity: cell membrane, resting- and action potentials, Nernst equation, volume conducting, forward- och inverse problems
Measurement of bioelectrical signals: electrode properties, measurement systems
Electrocardiography: origin of the ECG, ECG-leads, ECG analysis
Neurophysiology: nervous system, muscles, EEG, EP, EMG, ERG, EOG, signal analysis
Electrostimulation: defibrillation, pacemakers, electrostimulation
Laboratory experiment: biosignal processing
Teaching and working methods
The course is partly based on problem based learning and comprises lectures, problem solving individually and in various groups and laboratory work.
Examination
| UPG2 | Seminar assignments | 1 credits | U, G |
| MOM2 | Tutorial sessions | 0.5 credits | U, G |
| LAB2 | Laboratory work | 0.5 credits | U, G |
| UPG1 | Essay assignment | 4 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Medical Imaging
Department
Institutionen för medicinsk teknikDirector of Studies or equivalent
Marcus LarssonExaminer
Ingemar FredrikssonCourse website and other links
https://www.imt.liu.se/edu/courses/TBMT01/Education components
Preliminary scheduled hours: 48 hRecommended self-study hours: 112 h
Course literature
Additional literature
Books
- Malmivuo J. and Plonsey R, (1995) Bioelectromagnetism, principles and applications of bioelectric and biomagnetic fields Oxford University Press, NY
- Sörnmo L. and Laguna P, (2005) Bioelectrical Signal Processing in Cardiac and Neurological Applications Academic Press (Elsevier)
- Tortora G, Derrickson B., (2011) Principles of Anatomy and Physiology 13th ed Wiley
ISBN: ISBN 9780470929186
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| UPG2 | Seminar assignments | 1 credits | U, G |
| MOM2 | Tutorial sessions | 0.5 credits | U, G |
| LAB2 | Laboratory work | 0.5 credits | U, G |
| UPG1 | Essay assignment | 4 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Additional literature
Books
Malmivuo J. and Plonsey R, (1995) Bioelectromagnetism, principles and applications of bioelectric and biomagnetic fields Oxford University Press, NY
Sörnmo L. and Laguna P, (2005) Bioelectrical Signal Processing in Cardiac and Neurological Applications Academic Press (Elsevier)
Tortora G, Derrickson B., (2011) Principles of Anatomy and Physiology 13th ed Wiley
ISBN: ISBN 9780470929186
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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X
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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X
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
X
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X
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X
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| 2.2 Experimentation, investigation, and knowledge discovery |
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X
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X
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| 2.3 System thinking |
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X
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| 2.4 Attitudes, thought, and learning |
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X
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| 2.5 Ethics, equity, and other responsibilities |
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X
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X
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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| 3.2 Communications |
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X
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| 3.3 Communication in foreign languages |
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X
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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X
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X
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| 4.4 Designing |
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X
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| 4.5 Implementing |
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X
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X
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. Click on a file to download and open it.
| Name | File name | Description |
|---|---|---|
| ExaminationAndReport | ExaminationAndReport.pdf | |
| PrerequisitesAndLiterature | PrerequisitesAndLiterature.pdf | |
| CourseGoals | CourseGoals.pdf |