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Forschungspraktikum Neuromonitoring

MH4E69891Specializing and Interdisciplinary Qualification10 ECTSGerman/EnglishWintersemester/SommersemesterKlinik für Anästhesiologie und Intensivmedizin (Prof. Schneider)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You receive an introduction to Computational Neuroscience using clinical EEG data as an example. You will learn to prepare, analyze and synchronize EEG recordings with other time series and to create simple Matlab scripts for analysis. By the end you will be able to recognize clinically relevant EEG patterns and perform basic analyses for evaluating and optimizing EEG analytics.

What you will be able to do

  • analyze clinical EEG recordings and identify key patterns
  • apply preprocessing: artifact removal, filtering, and spectral analysis
  • synchronize time series (e.g., EEG and hemodynamic parameters)
  • understand the influence of demographic factors (age, gender) on EEG
  • create your own Matlab scripts for data analysis

What the module consists of

  • Praktikum/Laborarbeitcentral execution of data collection and analysis
  • Übungpractice of methods and techniques for EEG analysis

Teaching method

  • fragend‑entwickelnde Methodefacilitates independent working and understanding of new content
  • Individual work / independent preparationdeepens personal application and analytical skills
  • Data acquisition and data analysispractical implementation of what is learned on real datasets
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Official page in TUMonline · Details are not binding.