| Code |
12875
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| Year |
1
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
PL(30H)/T(30H)
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| Scientific area |
Bioengenharia
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Entry requirements |
Not applicable.
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Mode of delivery |
Face-to-face
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Work placements |
Not applicable
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Learning outcomes |
At the end of this curricular unit, the student shall be able to understand the theoretical foundations of recording biomedical signals, understand its scope of application and its limitations. He/she will be able to apply analytical methods the biomedical signals collected in laboratory context or made available in online libraries, in particular to electrocardiographic, electromyographic, electroencephalographic and accelerometry signals.
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Syllabus |
- Foundations of biomedical signals
- Information theory
- the Electrocardiography signal (ECG)
- the Electroencephalography signal (EEG)
- the Electromyography signal
- the Accelerometry signals
- Acquisition of biomedical signals. Spectrum of interest (ECG, EEG, Accelerometry)
- Signal conditioning techniques
- Analogue and digital filters
- Frequency response
- the Electromyography signal
- the Accelerometry signals
- Pattern recognition
- Spectral, difuse classifications and biosignal processing algorithms.
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Main Bibliography |
* Biomedical Signal Analysis, Contemporary Methods and Applications; Fabian J. Theis e Anke Meyer-Base; April 2010, MIT Press; ISBN-10:0-262-01328-2, ISBN-13:978-0-262-01328-4
* Bioelectrical Signal Processing in Cardiac and Neurological Applications by Leif Sornmo and Pablo Laguna. Elsevier Academic Press, 2005.
* Biomedical Signal Analysis, Rangaraj m. Rangayyan; 2nd Ed, April 2015, IEEE Press / John Wiley and Sons; ISBN-13:978-0-470-01139-6
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Teaching Methodologies and Assessment Criteria |
Students are continuously evaluated by academic work throughout the semester via three working projects, with reports, that require presentation and discussion.
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Language |
Portuguese. Tutorial support is available in English.
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