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Biomedical Signs Analysis

Code 12875
Year 1
Semester S1
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Bioengenharia
Entry requirements Not applicable.
Mode of delivery Face-to-face
Work placements Not applicable
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.
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 and frequency response
- Evoked potentials
- the Electromyography signal
- the Accelerometry signals
- Pattern recognition
- Spectral, difuse classifications and biosignal processing algorithms.
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.
Teaching Methodologies and Assessment Criteria Experimental work in laboratory environment.
Written report on one of the pre-programmed experiments (development of an ECG or EEG data acquisition system).
Oral presentation of the experimental work.
The individual report has a weight of 60% in the final grade and the oral presentation has a weight of 40% of the final grade.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2020-01-17

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