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Medical Signal Processing

Code:

LTB31005

Sigla:

PSM

Áreas Científicas
Classificação	Área Científica
OFICIAL	Electrotecnia

Ocorrência: 2023/2024 - 1S

Ativa?	Yes
Unidade Responsável:	Departamento de Engenharia Eletrotécnica
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
LTB	64	Plano de Estudos	3	-	6	75	162

Língua de trabalho

Portuguese
Obs.: Português

Objetivos

The curriculum unit of Medical Signal Processing studies the characterization of discrete signals and systems, both in the temporal domain and in the spectral domain as well their importance in the time-frequency analysis systems (spectrogram).

Resultados de aprendizagem e competências

The curriculum unit of Medical Signal Processing aims to provide students with the skills to design and implement several digital signal processing techniques. The techniques range from the temporal and spectral characterization of electrophysiological signals, the development of digital filters based in computer simulation tools. The knowledge achieved in this unit will allow the student to know how to integrate digital signal processing with the electronic acquisition chain of electrophysiological signals.

Modo de trabalho

Presencial

Programa

1. Discrete-Time Signals.
2. Discrete-Time LTI Systems.
3. Linear Constant-Coefficient Difference Equations.
4. Fourier Analysis
5. Filter Design Techniques
6. Temporal processing of physiological signals
7. Time-frequency analysis of physiological signal

Bibliografia Obrigatória

J. Proakis and D. Manolakis; Digital Signal Processing – Principles, Algorithms and Applications, Prentice Hall, 1996. ISBN: (cota: SI.PS 5998.0)

Bibliografia Complementar

Motorola University, Grover Deller; Digital Signal Processing and the Microcontroller, Prentice Hall, 1999. ISBN: (cota: SI.PS 6385.0)

Métodos de ensino e atividades de aprendizagem

The teaching methodology adopted in this course is based on two approaches: interactive group lectures and laboratories in the group work environment that will culminate in the design and development of systems acquisition and signal processing.

Software

MATLAB

Palavras Chave

Technological sciences > Technology > Computer technology > Signal processing
Technological sciences > Engineering > Systems engineering > Systems theory

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	60,00
Trabalho laboratorial	40,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Estudo autónomo	87,00
Frequência das aulas	30,00
Trabalho laboratorial	45,00
Total:	162,00

Obtenção de frequência

Throughout the semester, students have several evaluation moments, whose approval require:

a) The grade in each test cannot be less than 10 values;
b) The classification obtained in one of the two tests is only allowed to be recovered if the grade is greater than or equal to 6V and this test can only be recovered on the date of the Normal Season exam. If you fail two tests, obtaining frequency will only be possible by taking the Exam;
c) Must complete all laboratory work;
d) The laboratory test grade cannot be less than 10 points;
e) The grade obtained in the Exam (PT component), from the Normal and Recourse Periods, cannot be less than 10 points.

Fórmula de cálculo da classificação final

The final grade (NF) in the subject is obtained according to the formula,

NF = 0.60 * AT + 0.20 * TL + 0.20 * TestL

• Average grade of the two Tests (Theoretical Test - AT);
• Average of Laboratory Works (TL);
• Laboratory Test (TestL).

Melhoria de classificação

A realização de provas de exame para efeitos de melhoria está sujeita a inscrição na Secretaria Académica segundo as normas vigentes. A melhoria de nota incide única e exclusivamente sobre a componente teórica da avaliação (AT).