MONTCO Today

From MCCC Computer Science Student to App Developer: Alumna Builds Career Helping Improve Medical Workflows

Learn how MCCC alumna Taylor Bellegue earned her Computer Science degree and now leads development of a medical workflow app.
IEEE

Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications

Abstract: The proposed study is based on a feature and channel selection strategy that uses correlation filters for brain–computer interface (BCI) applications using electroencephalography ...
GitHub

If you are an Android Studio programmer, there are several ways to download this repo. Note that if you use the Blocks or OnBot Java Tool to program your robot, then you do not ...

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the ...
IEEE

A time-series prediction approach for feature extraction in a brain-computer interface

Abstract: This paper presents a feature extraction procedure (FEP) for a brain-computer interface (BCI) application where features are extracted from the electroencephalogram (EEG) recorded from ...