semmelweis university 2 0 1 2 / 2 0 1 3

SEMMELWEIS UNIVERSITY / FACULTY OF MEDICINE
MEDICAL INFORMATICS
Institute of Health Informatics Development and Further Training
Tutor: Mariann Dr. Dinyane - Szabo (dinyane.mariann@public.semmelweis-univ.hu)
Credit: 1
Practice: 14 hours/semester
OPTIONAL courses:
1. SCIENTIFIC COMMUNICATION COURSE
The course gives an introduction to the paper based and oral publications and
presentations. The students find a medical problem (a topic) to work out during
the course
The grade is given by the publication and the presentation, made by the student.
1. Studying scientific publications via electronic library of the university. Studying
and comparing the structure and format , that is the restrictions determined by
of several editorials. Searching papers as basics for a medical study (syndromes,
diagnoses, therapy).
2. Structure of a scientific publication. The importance and meaning of the sections
of the paper.
3. Structure of an oral presentation and slides. Studying papers as publications and
slides, as presentations.
4. Making an article on a medical study by special formal constrains and restrictions.
5. Making a presentation on the same theme.
2. DATABESES COURSE
1. Database theory: Introduction to database theory (the application, logical, and
physical models, basic concepts and objects). Planning a relational database (patient
appointment scheduling (PAS) database example).
Database in practice: managing tables, basic queries (database: PAS; tables: calendar,
patient, physician)
2. Database powered websites (theory): The LAMP model, Web2.0 features
Online technologies: Basic concepts of HTML, CSS, PHP, SQL servers
3. Web technologies in practice: Creation of a simple web application (using basic
HTML and PHP as an example to HTTP data transfers)
4. EM project portal: Web Application design - php based application for search
(query) the PAS database existing on SQL server (MySQL).
5. EM project portal: User Interface design of online User Interfaces for patients, administrators
and physicians.
3. BIOMEDICAL SIGNAL PROCESSING COURSE
1. Introduction to biomedical signal processing, objectives of signal analysis, Components
of human-instrument system
2. Examples of biomedical signals (electrical and mechanical signals), and transducers.
3. The basics of signal processing, the digitalizing (sampling, Shannon-theory,
quantization).
4. Analysis of a phonocardiogram (heart sound, calculation of the pulse, murmurs).
Spectral analysis.
5. Analysis of ECG signal. Basics of removing noise and artefacts.
Faculty of Medicine
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