Abstract #2294

Data Downsampling for Time-Efficient and Robust Estimation of ICA Model Order Using Bootstrap Stability Analysis of Principal Components

Waqas Majeed¹, Feng Wang²,³, Robert M. Friedman⁴, Chaohui Tang²,³, Malcolm J. Avison²,³

¹Department of Electrical Engineering, Lahore University of Management Sciences, School of Science and Engineering, Lahore, Punjab, Pakistan; ²Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University, Nashville, TN, United States; ³Department of Radiology, Vanderbilt University, Nashville, TN, United States; ⁴Department of Psychology, Vanderbilt University, Nashville, TN, United States

Bootstrap stability analysis (BSA) has previously been shown to be a more robust and accurate method for ICA model order estimation, compared with traditional methods. However, large computational burden associated with BSA makes it impractical. In this work, we demonstrate that BSA can be used on the prefiltered and downsampled data without compromising the results, while reducing the processing time to a great degree.