The Effects of Acute Moderate Exercise on Cognitive Functioning — Part 1

EEG-ICA: Signal Processing Analysis

The main purpose of this project is to examine the use of different event-related potential (ERP) analysis methodologies. This series of publications will outline the preprocessing and application of novel signal processing analysis techniques. Specifically, two newer techniques (ICA & RIDE) will be applied to this EEG data taken from a study conducted in the Brain and Body Lab at the University of Waterloo. To find out more about this research, see the links at the bottom of the page.

1. Independent Component Analysis (ICA)
2. Residual Iteration Decomposition (RIDE)

In Part 1, EEG — ERP data is preprocessed and ICA decomposition is applied.

Procedure:

1. The data is down-sampled to 250 Hz
2. High and low pass filters are applied to the data to remove noise
3. The data is epoched
4. A baseline is removed
5. Finally, ICA decomposition is performed (ICA takes a considerable amount of time to run)

This project was inspired by the work of Dr. Laura Middleton and the development of RIDE by Dr. Guang Ouyang.

The Effects of Acute Moderate Exercise on Cognitive Functioning — Part 2

Brain and Body Lab: https://uwaterloo.ca/brain-and-body-lab/

RIDE: http://cns.hkbu.edu.hk/RIDE_files/Page294.htm

Study: https://uwspace.uwaterloo.ca/bitstream/handle/10012/10729/Wikkerink_Spencer.pdf?sequence=3