Signal Processing for Medical Applications Frequency Domain - - PowerPoint PPT Presentation

▶

Oct 07, 2023 159 likes •317 views

Signal Processing for Medical Applications Frequency Domain Analyses Muthuraman Muthuraman Christian-Albrechts-Universitt zu Kiel Department of Neurology / Faculty of Engineering Digital Signal Processing and System Theory Lecture 10

SLIDE 1

Muthuraman Muthuraman

Christian-Albrechts-Universität zu Kiel Department of Neurology / Faculty of Engineering Digital Signal Processing and System Theory

Signal Processing for Medical Applications – Frequency Domain Analyses

SLIDE 2

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-2

Time Slots Dates of Presentation 9:15 – 9:30 18-01-2013 9:35 – 9:50 25-01-2013 9:55 – 10:10 01-02-2013 10:15 – 10:30 9:15 – 9:30 9:35 – 9:50 9:55 – 10:10 08-02-2013 10:15 – 10:30 13:30 – 13:45 13:50 – 14:20 CSR I 14:25 – 14:40

Topics of Presentation

Lecture 10 – Hands on session

SLIDE 3

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-3

Topics Student Name 1) Mapping the SNR of cortical sources in MEG/EEG Ali Alfaraoon – 11/18-01-2013 2) Comparison of EEG and MEG in source level Masoud Sarabi – 11/18-01-2013 3) Sparse source imaging Jayjit Dutta – 11/18-01-2013 4) FEM for forward Modelling Lasse Joldrichsen – 11/18-01-2013 5) Eigenspace projection beamformers Roos Pascal – 18/25-01-2013 6) MEG/EEG source reconstruction using NUTMEG Sven Jaschke – 18/25-01-2013 7) Mapping human brain with MEG and EEG Julius Schmalz - 18/25-01-2013 8) Data driven time frequency analysis Sumit Jha -18/25-01-2013 9) Power envelope correlations – source analysis Mushfa Yousuf – 25/01-02-2013

Topics of Presentation

SLIDE 4

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-4

Topics Student Name 9) Overview on artifact correction algorithms – Gradient Necati Ugras Babacan – 25/01-02-2013 10) Spatial-temporal signal separation method Andre Iwers – 25/01-02-2013 11) Phase amplitude coupling between neuronal oscillations of different frequencies Sami Alkubti Almasri – 25/01-02-2013 12) Driver Fatigue: EEG and pschological assessment Stephan Senkbeil – 01/08-02-2013

Topics of Presentation

SLIDE 5

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-5

Topics of Presentation

Topics Student Name 13) Review on directionality methods Riya Paul – 01/08-02-2013 14) Review of brain connectivity in EEG/MEG Sandra Schmidt – 01/08-02-2013 15) Resting state FMRI Thi thu Hien Vu – 01/08-02-2013 16) New and emerging techniques for brain mapping Balachandar Vittal – 01/08-02-2013 17) Analyzing effective connectivity in FMRI Sönke Heidkamp and Christin Baasch -01 /08-02-2013 18) NIRS development and field of application Marco Klein – 01/08-02-2013

SLIDE 6

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-6

Grading system Paper: 50 %

Individual Intiative
Understanding the subject
Writing Skills

Presentation : 50 %

Timing
Effective answering
Attendance

SLIDE 7

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-7

Lecture 10 – Hands on session

EEG Measurement

SLIDE 8

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-8

Lecture 10 – Hands on session

EEG Measurement

Alpha Waves

SLIDE 9

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-9

EMG Measurement

Lecture 10 – Hands on session

SLIDE 10

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-10

Artifacts

Lecture 10 – Hands on session

Muscle artifacts

SLIDE 11

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-11

Artifacts

Lecture 10 – Hands on session

Eye blink artifacts

SLIDE 12

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-12

Artifacts

Lecture 10 – Hands on session

Eye movement artifacts

SLIDE 13

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-13

Artifacts

Lecture 10 – Hands on session

Mains Interference

SLIDE 14

Digital Signal Processing and System Theory| Signal Processing for Medical Applications | Introduction Slide I-14

Signal Processing for Medical Applications – Frequency Domain Analyses

End of Lecture 