Introduction: Applications of LabVIEW, Introduction to the LabVIEW environment, use the block diagram, front panel. Functions and Controls palettes. Debugging, writing data to a file, basic programs

Loops: For Loops and While Loops. Manipulating Arrays. Implementation of graphs and charts. Building an UI.

Timers and counters: Case structures. Sequential programming. Timers and counters

Signal Processing with LabVIEW: This lecture will cover all the conceptual requirements required for data acquisition.

Data Acquisition: Connecting to hardware, testing the NI DAQ.

Data Acquisition: Working with NI-DAQ-I, Working with NI-DAQ-II

Introduction: Introduction to neurotechnology, brain oscillations, interface between humans an machines

Signal Processing Basics: Samling theorem, quantization, superposition, filters; Brain signals: What do they comprise of? Fourier transforms, windowing, types of windows; Time frequency representations

Electroencephalography: EEG signal generation, BESA simulation software, EEG acquisition, EEG electrode placement, referencing; EEG artifacts, common types of artifacts, how to identify and remove artifacts

Neural Signal Processing: Filtering, ICA, PCA

Introduction: Course highlights from the previously taken course "Biosignal Processing"

Practical sessions: Getting familiar with the EEG acquisition system, setting experimental paradigms, EEG acquisition, EEG processing