The Effects of Acute Moderate Exercise on Cognitive Functioning — Part 3

EEG-RIDE: Signal Processing Analysis

The idea for this project was inspired by the work of Dr. Laura Middleton and the development of Residual Iteration Decomposition (RIDE) by Dr. Guang Ouyang.

In Part 3, RIDE is applied on EEG — Event Related Potential (ERP) data taken from a study examining the effects of acute moderate intensity exercise on cognitive functioning.

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

Purpose:

The purpose of this script is to separate out each of the FLANKER conditions so that RIDE can process each one individually. This script will also separate the waveform for each trial into ‘S’, ‘C’, & ‘R’ component clusters. The RIDE transformed waveform will then be calculated using the median latency of each component cluster. After RIDE has decomposed the waveform and reconstructed it each FLANKER condition will be saved separately.

Step 1:

MAKE SURE THAT RIDE IS INSTALLED (SEE LINK ABOVE)

MAKE SURE YOU LOAD EEGLAB BEFORE RUNNING THIS CODE

Step 2:

Modify the code below to extract data from select participants, conditions, and time points.