Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Biomedical Signal Processing and Analysis:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Biomedical Signal Processing and Analysis
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Inżynierii Systemów, Sygnałów i Elektroniki
Nauczyciel odpowiedzialny Joanna Górecka <Joanna.Gorecka@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 15 1,40,30zaliczenie
projektyP1 15 1,60,30zaliczenie
wykładyW1 15 1,00,40zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Mathematics, Physics, Informatics, Electronics, Signal theory, Signal processing, Biomedical Engineering.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1To provide up to date knowledge on methods and techniques used in acquisition, processing and analysis of biosignals and to develop practical skills useful in this field.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Biosignal acquisition, processing and analysis using specialized equipment (sensors, transducers, amplifiers etc.) and software tools - LabView.2
T-L-2Chosen biosignals analysis using software tools: MATLAB.8
T-L-3Chosen biosignals analysis using software tools - LabView.5
15
projekty
T-P-1Using computer tools in processing and analysis of biological signals8
T-P-2Implementing algorithms applied to different biosignals.7
15
wykłady
T-W-1Biosignals: definitions, classification. Bio-measurements: (bio)sensors, electrodes, transducers, amplifiers.2
T-W-2Methods and techniques of biosignal acquisition, processing and analysis.2
T-W-3Electrophysiology systems: ECG, EEG, EMG, ERG/VEP/P300.2
T-W-4Biosignal analysis in time and frequency domain: spectral analysis, FFT, STFT, time-frequency analysis, Wavelet Transformation.3
T-W-5Methods of statistical biosignal analysis.2
T-W-6MATLAB and LabView environments in biosignal processing and analysis, dedicated toolboxes.2
T-W-7Examples of advanced ECG, EEG, VEP/P300 processing and analysis.2
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes15
A-L-2Individual study with literature20
35
projekty
A-P-1Participation in classes15
A-P-2Individual study with literature25
40
wykłady
A-W-1Participation in classes15
A-W-2Individual study with literature10
25

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1oral presentation (lectures), practical work in lab

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: grade, accomplishment of lab tasks

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WE_2-_null_W01
The student has knowledge on methods and techniques used in acquisition, processing and analysis of biomedical signals as well as on research methodology used in this field.
C-1T-L-3, T-L-1, T-L-2, T-P-2, T-P-1, T-W-1, T-W-2, T-W-4, T-W-5, T-W-3, T-W-7, T-W-6M-1S-1

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WE_2-_null_U01
The student has practical skills useful in this area regarding bio-measurements (instrumentation, specialized software tools).
C-1T-L-3, T-L-1, T-L-2, T-P-2, T-P-1, T-W-1, T-W-2, T-W-4, T-W-5, T-W-3, T-W-7, T-W-6M-1S-1

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WE_2-_null_W01
The student has knowledge on methods and techniques used in acquisition, processing and analysis of biomedical signals as well as on research methodology used in this field.
2,0
3,0Student has basic knowledge in biomedical signal processing and analysis.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WE_2-_null_U01
The student has practical skills useful in this area regarding bio-measurements (instrumentation, specialized software tools).
2,0
3,0Student has practical skills useful in biomedical signal processing and analysis.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Bronzino J. D. (ed.), Biomedical Engineering Handbook, CRC Press, IEEE Press, 1995
  2. Shortliffe E. H., Perreault L. E, Medical informatics. Computer applications in Health Care, Addison-Wesley Publ. Comp., Readng, Mass, 1990
  3. Oppenheim, A.V. and Schafer W, Discrete-time signal processing, Prentice Hall, 1999

Literatura dodatkowa

  1. Qian S., Chen D., Joint time-frequency analysis. Methods and applications, Prentice-Hall, 1996

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Biosignal acquisition, processing and analysis using specialized equipment (sensors, transducers, amplifiers etc.) and software tools - LabView.2
T-L-2Chosen biosignals analysis using software tools: MATLAB.8
T-L-3Chosen biosignals analysis using software tools - LabView.5
15

Treści programowe - projekty

KODTreść programowaGodziny
T-P-1Using computer tools in processing and analysis of biological signals8
T-P-2Implementing algorithms applied to different biosignals.7
15

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Biosignals: definitions, classification. Bio-measurements: (bio)sensors, electrodes, transducers, amplifiers.2
T-W-2Methods and techniques of biosignal acquisition, processing and analysis.2
T-W-3Electrophysiology systems: ECG, EEG, EMG, ERG/VEP/P300.2
T-W-4Biosignal analysis in time and frequency domain: spectral analysis, FFT, STFT, time-frequency analysis, Wavelet Transformation.3
T-W-5Methods of statistical biosignal analysis.2
T-W-6MATLAB and LabView environments in biosignal processing and analysis, dedicated toolboxes.2
T-W-7Examples of advanced ECG, EEG, VEP/P300 processing and analysis.2
15

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes15
A-L-2Individual study with literature20
35
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - projekty

KODForma aktywnościGodziny
A-P-1Participation in classes15
A-P-2Individual study with literature25
40
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes15
A-W-2Individual study with literature10
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WE_2-_null_W01The student has knowledge on methods and techniques used in acquisition, processing and analysis of biomedical signals as well as on research methodology used in this field.
Cel przedmiotuC-1To provide up to date knowledge on methods and techniques used in acquisition, processing and analysis of biosignals and to develop practical skills useful in this field.
Treści programoweT-L-3Chosen biosignals analysis using software tools - LabView.
T-L-1Biosignal acquisition, processing and analysis using specialized equipment (sensors, transducers, amplifiers etc.) and software tools - LabView.
T-L-2Chosen biosignals analysis using software tools: MATLAB.
T-P-2Implementing algorithms applied to different biosignals.
T-P-1Using computer tools in processing and analysis of biological signals
T-W-1Biosignals: definitions, classification. Bio-measurements: (bio)sensors, electrodes, transducers, amplifiers.
T-W-2Methods and techniques of biosignal acquisition, processing and analysis.
T-W-4Biosignal analysis in time and frequency domain: spectral analysis, FFT, STFT, time-frequency analysis, Wavelet Transformation.
T-W-5Methods of statistical biosignal analysis.
T-W-3Electrophysiology systems: ECG, EEG, EMG, ERG/VEP/P300.
T-W-7Examples of advanced ECG, EEG, VEP/P300 processing and analysis.
T-W-6MATLAB and LabView environments in biosignal processing and analysis, dedicated toolboxes.
Metody nauczaniaM-1oral presentation (lectures), practical work in lab
Sposób ocenyS-1Ocena formująca: grade, accomplishment of lab tasks
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has basic knowledge in biomedical signal processing and analysis.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WE_2-_null_U01The student has practical skills useful in this area regarding bio-measurements (instrumentation, specialized software tools).
Cel przedmiotuC-1To provide up to date knowledge on methods and techniques used in acquisition, processing and analysis of biosignals and to develop practical skills useful in this field.
Treści programoweT-L-3Chosen biosignals analysis using software tools - LabView.
T-L-1Biosignal acquisition, processing and analysis using specialized equipment (sensors, transducers, amplifiers etc.) and software tools - LabView.
T-L-2Chosen biosignals analysis using software tools: MATLAB.
T-P-2Implementing algorithms applied to different biosignals.
T-P-1Using computer tools in processing and analysis of biological signals
T-W-1Biosignals: definitions, classification. Bio-measurements: (bio)sensors, electrodes, transducers, amplifiers.
T-W-2Methods and techniques of biosignal acquisition, processing and analysis.
T-W-4Biosignal analysis in time and frequency domain: spectral analysis, FFT, STFT, time-frequency analysis, Wavelet Transformation.
T-W-5Methods of statistical biosignal analysis.
T-W-3Electrophysiology systems: ECG, EEG, EMG, ERG/VEP/P300.
T-W-7Examples of advanced ECG, EEG, VEP/P300 processing and analysis.
T-W-6MATLAB and LabView environments in biosignal processing and analysis, dedicated toolboxes.
Metody nauczaniaM-1oral presentation (lectures), practical work in lab
Sposób ocenyS-1Ocena formująca: grade, accomplishment of lab tasks
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has practical skills useful in biomedical signal processing and analysis.
3,5
4,0
4,5
5,0