Introduction to Neural Signal Analysis
Einführung in die neuronale Signalanalyse
6 CPirregularlyEN
Prerequisites
Recommended, as written
Knowledge of the topics of the modules • 11112 Mathematik IT-1 (Diskrete Mathematik) • 11113 Mathematik IT-2 (Lineare Algebra) • 11213 Mathematik IT-3 (Analysis) • 11756 Algorithmen und Datenstrukturen
Contents
• Introduction to Neural Signaling • EEG Signal Acquisition • Artifacts and preprocessing techniques • Time Domain Analysis • Evoked potentials • Frequency Domain and EEG signals spectral analysis • Applications in Computational Neuroscience • Ethical aspects of brain wave measurements
Learning outcomes
After successfully completing the module, students will demonstrate a comprehensive understanding of neural signaling and EEG signal acquisition. They will possess the ability to apply basic time and frequency domain analyses for processing EEG signals.
Assessment
Prerequisite: • Successful completion of homework Final Module Examinatio: • Written exam, 120 minutes OR • Oral examination, 30-45 minutes In the first lecture it will be announced, if the examination will be offered in written or oral form.
Literature (1)
- Biomedical Signal Analysis (IEEE Press Series on Biomedical Engineering), Rangaraj M. Rangayyan, Wiley-IEEE Press, ISBN:9780470911396
Remarks
• Study programme Medizininformatik B.Sc.: Compulsory elective module in complex „Medizininformatik" • Study programme Informatik B.Sc.: Compulsory elective module in complex „Praktische Informatik" (level 300) • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Knowledge Acquisition, Representation, and Processing” • Study programme Mathematical Data Science M.Sc.: Compulsory elective module in complex „Fundamentals of Data Science”
Source: BTU's module description · retrieved 28 Sep 2026Original