Technologies in Medicine: basic notions of image and signal

Code:

OPT179

Acronym:

TECMED

Keywords
Classification	Keyword
OFICIAL	Medicine

Instance: 2019/2020 - 1S (of 09-09-2019 to 09-02-2020)

Active?	Yes
Responsible unit:	Department of Community Medicine, Information and Health Decision Sciences
Course/CS Responsible:	Integrated Master in Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIMED	12	Mestrado Integrado em Medicina- Plano oficial 2013 (Reforma Curricular)	2	-	3	28	81
			3

Teaching language

Portuguese

Objectives

The learning objectives of the curricular unit “Technologies in medicine: fundamental concepts of signal and image” consist in the acquisition of knowledge related with signal and image processing and analysis, aiming to provide and stimulate their ability of a conscientious use of the several available technologies in Medicine.

Learning outcomes and competences

In this way, it is expected that the acquired knowledge will allow them the development of a critical analysis in the use of the different signal (e.g. ECG, EEG, respiratory signals) and image (e.g. magnetic ressonance imaging) technologies, not only for a better comprehension of the used devices, as well as of being aware of eventual differences and implications when utilizing different equipment in the same or different health institutions.

Working method

Presencial

Program

The program contents of this curricular unit are grouped within the domains of signal and image, where several fundamental concepts related with signal/image acquisition, processing and analysis are covered, culminating with the presentation of a practical case by a clinician. The structure of the program contents is detailed in the following:

1. Signal

1.1. Concept of signal. Analogic and digital.

1.2. Technologies used in medicine based on signal.

1.3. Concepts related with acquisition and pre-processing.

1.4. Linear analysis in the time- and frequency-domain.

1.5. Non-linear analysis.

1.6. Presentation of a practical case on signal.

2. Image

2.1. Concept of image. Analogic and digital.

2.2. Technologies used in medicine based on image.

2.3. Concepts related with acquisition and pre-processing.

2.4. Linear analysis in the time- and frequency-domain. Non-linear analysis.

2.5. Image registration and pattern recognition.

2.6. Presentation of a practical case on image.

Mandatory literature

Proakis, J.G., & Manolakis, D.G.; Digital signal processing, Prentice-Hall, 2006
Gonzalez, R.C., & Woods, R.E.; Digital image processing, Prentice-Hall, 2008

Teaching methods and learning activities

The methodology of teaching consists essentially in classes of theoretical exposition under the scope of signal and image, including the presentation of practical cases from medicine. In this way, the students will feel more affinity with the presented concepts.

In the end of each signal/image module, an invited clinician will give a talk about a practical case addressing the importance of having signal/image knowledge, particularly the implications that less knowledge in the field may have on signal/image analysis.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho prático ou de projeto	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	25,00
Estudo autónomo	28,00
Frequência das aulas	28,00
Total:	81,00

Eligibility for exams

The frequency will be obtained according to the pedagogical regulation.

Calculation formula of final grade

The evaluation of this curricular unit is composed by a written exam corresponding to 60% of the final grade, where it will be evaluated the extent of knowledge about the themes addressed in the classes. The remaining 40% correspond to a practical work, where the students are free to choose a theme under the scope of the curricular unit, which will be evaluated both in terms of a report and oral presentation.