XSL Content
Fundamentals of Biomedical Signals Processing
- Centre
- Faculty of Engineering - Bilbao
- Degree
- Bachelor's degree in Biomedical Engineering
- Academic course
- 2024/25
- Academic year
- 2
- No. of credits
- 6
- Languages
- English
TeachingToggle Navigation
Study type | Hours of face-to-face teaching | Hours of non classroom-based work by the student |
---|---|---|
Lecture-based | 30 | 45 |
Applied classroom-based groups | 15 | 22.5 |
Applied laboratory-based groups | 15 | 22.5 |
Teaching guideToggle Navigation
AimsToggle Navigation
General skills:
G003 Knowledge in basic and technological subjects, which enable to learn new methods and theories, and provide versatility to adapt to new situations..
Transversal skills:
T001 Ability to solve problems with initiative, decision making, creativity and critical reasoning, respecting the principles of universal accessibility and design for all people..
Specific skills:
M02FI04 Knowledge, understanding and mastery of the basic concepts of linear systems, and their related functions and transforms in the field of biomedical engineering.
Learning outcome (degree):
RAG7 The graduate will be able to identify the concepts and techniques of the basic and technological subjects of engineering (drawing, computer science, electronics, electricity, mechanics, automation, communication technologies, energy) that enable him/her to learn new methods and theories and provide versatility to adapt to new situations.
RAT1 The graduate will be able to solve problems with initiative, decision-making, creativity and critical reasoning.
TemaryToggle Navigation
Topic 1. Introduction to biomedical signal processing.
Topic 2. Continuous and discrete signals in the time domain.
-Classification of signals. Basic signals. Transformation of the independent variable. Characterization of signals in the time domain.
Topic 3. Continuous and discrete systems in the time domain.
-Properties of systems. Linear time-invariant (LTI) systems. Convolution. Interconnection of LTI systems. LTI systemas described by means of differential equations and difference equations. Implementation of LTI systems.
Topic 4. Signal analysis in the frequency domain.
-Fourier series. Fourier transform. Properties.
Topic 5. Analysis of LTI systems in the frequency domain.
-Frequency response. Linear filtering. Types of filters. Discrete FIR and IIR filters.
Topic 6. Sampling.
-Sampling of continuous signals. AD and DA conversion.
Topic 7. Correlation and power spectrum.
-Auto-correlation and cross-correlation. Energy and power spectral density.
Topic 8. Discrete Fourier Transform (DFT).
-Definition. IDFT. Frequency sampling. Application using FFT algorithms.
Topic 9. Multirate digital signal processing.
-Interpolation and decimation. Applications.
MethodologyToggle Navigation
The course is taught both individually and in groups. The masterclass part of the course is addressed individually, whereas the classroom exercises will combine both modalities, and the laboratory sessions are carried out in small groups.
The presentation of the necessary theoretical contents of the course, and the proposal and development of illustrative practical examples, as a whole, will serve to guide and stimulate the autonomous work of the students focused on solving new problems and questions that will be posed to them. Although individual work will come first, team work dynamics will be used to assess the work.
In the Lab Sessions, classroom time will be used for the development of basic signal processing applications using the MATLAB environment. Above all, the aim is to encourage teamwork through the proposal of practical tasks to be carried out collaboratively in the classroom. Classroom work will include writing a report for each practical task.
Non-classroom time associated to the theoretical content and problem solving should be used to revisit the basic concepts ant the theory presented in the classroom, as well as to work through the analytical and numerical problems - either individually or in groups. On the other hand, the non-classroom time associated to the lab sessions should be focused on both preparing the contents of th lab activities and completing/fine tuning their respective reports collaboratively. The teaching team will promote the completion of the bulk of the lab work within the classroom time.
Assessment systemsToggle Navigation
The theoretical/problem solving content (lecture-based + applied classroom-based groups) and the lab-based content are evaluated independently.
In order to pass the course, a minimum score of 5 points out of 10 must be obtained in each of the parts. Passing grades of any of the parts will be saved for the extraordinary exam.
Part 1. Evaluation of the theoretical/problem solving content (lecture-based + applied classroom-based groups). Total weight assigned: 75 %.
a) First mid-term exam: the first written midterm exam covers all topics from 1 to 4. It consists of short questions and problems. Weight assigned: 22 %. Minimum score required: 4 points out of 10.
b) On the official date of the ordinary call, two written exams will be held, in this order:
b.1) Second midterm exam: it covers topics 5 to 9, consisting of short questions and problems. Weight assigned: 38 %. Minimum score required: 5 points out of 10.
b.2) First midterm exam: recovery of topics 1 to 4 for those students that have not achieved the minimum score required in a). Weight assigned: 22 %. Minimum score required: 4 points out of 10. Taking this exam implies updating the previous score from a).
c) Delivery of solved problems at the end of each topic. Weight assigned: 15%. .
Part 2. Evaluation of laboratory sessions (applied laboratory-based groups). Total weight assigned: 25 %.
a) Reports. Assigned weight 20 %.
b) Presentation of the reports. Assigned weight 5 %.
In the event of failing any of the assessment mechanisms from above, the weighted formula will be applied to calculate the final score (GAUR score), being 4.5 points out of 10 the maximum possible score.
___________________________________________
Continuous assessment withdrawal
Students who decide to renounce the right to continuous assessment, they must request it formally (written request) to the teaching staff, within 9 weeks, starting from the beginning of the four-month period.
Students who opt fpr single assessment must take the two written exams as indicated in section b), items b.1 and b.2 (weight assigned: 75%). Additionally, they have to carry out a practical exam in the laboratory (weight assigned: 25%). In order to pass the course, a minimum score of 5 out of 10 must be obtained in each of the exams.
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Withdrawal from the ordinary call
Non-attendance at the exam call in the official date will result in a withdrawal (NOT PRESENTED will be applied).
Compulsory materialsToggle Navigation
- Lecture notes, presentations and resources in the eGela virtual platform.
- Collections of basic and long problems in the eGela virtual platform.
- Materials for the laboratory computer work.
BibliographyToggle Navigation
Basic bibliography
1. Oppenheim AV, Willsky AS. Signals and systems. Prentice Hall International, Inc. ISBN: 978-0138147570
2. Proakis JG, Manolakis DG. Introduction to Digital Signal Processing. Macmillan Publishing Company. ISBN 978-0023968105
3. Siebert WM. Circuits, Signals and Systems. Cambridge, MA; MIT Press, 1985. ISBN 978-02621192293.
4. Karu ZZ. Signals and Systems Made Ridiculously Simple. Huntsville, AL: ZiZi Press, 1995. ISBN 978-0964375215
In-depth bibliography
1. Bioelectrical signal Processing in cardiac and neurological applications. Elsevier Academic Press. ISBN 978-0124375529.
2. Semmlow JL. Biosignal and Biomedical image processing: Matlab-based applications. Marcel Dekker. ISBN 978-0824748036.
GroupsToggle Navigation
61 Teórico (English - Mañana)Show/hide subpages
Weeks | Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|---|
20-24 | 11:00-12:30 | ||||
20-32 | 08:00-09:30 | ||||
34-35 | 08:00-09:30 |
Teaching staff
Classroom(s)
- P2G 1A - ESCUELA INGENIERIA DE BILBAO-EDIFICIO I
- P2G 1A - ESCUELA INGENIERIA DE BILBAO-EDIFICIO I
- P2G 1A - ESCUELA INGENIERIA DE BILBAO-EDIFICIO I
61 Applied classroom-based groups-1 (English - Mañana)Show/hide subpages
Weeks | Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|---|
25-32 | 11:00-12:30 | ||||
34-35 | 11:00-12:30 |
Teaching staff
Classroom(s)
- P2G 1A - ESCUELA INGENIERIA DE BILBAO-EDIFICIO I
- P2G 1A - ESCUELA INGENIERIA DE BILBAO-EDIFICIO I
61 Applied laboratory-based groups-1 (English - Mañana)Show/hide subpages
Weeks | Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|---|
24-24 | 11:00-12:30 12:30-14:00 | ||||
25-25 | 11:00-12:30 12:30-14:00 | ||||
30-30 | 11:00-12:30 12:30-14:00 | ||||
31-31 | 11:00-12:30 12:30-14:00 | ||||
32-32 | 11:00-12:30 12:30-14:00 |
Teaching staff
Classroom(s)
- P6I 3L - ESCUELA DE INGENIERIA DE BILBAO-EDIFICIO II
- P6I 3L - ESCUELA DE INGENIERIA DE BILBAO-EDIFICIO II