NeuroTechnology Exploration Live - Forrest on Data Collection, Preprocessing, and Feature Extraction

Here is discussed means of filtering, noise management, machine learning in context, some simple feature extraction techniques and a few which have recently been popular. Feature reduction, class and feature dimensionality problems, and potential solutions such as PCA and NCA and hierarchical classification are mentioned and explained.

The NeuroTechnology Exploration Team (NXT) will develop assistive technology packages using custom electroencephalography (EEG) and electromyography (EMG) biosensing technology, alongside intelligent machine learning and artificial intelligence (AI) algorithms to create several neural-controlled assistive devices. On this YouTube channel we will show off some of the projects our members are working on.

Electroencephalography,EEG,EMG,electromyography,biosensing,neurotech,neuroscience,Artificial Intelligence,technology,Data collection,Preprocessing,Feature Extraction,Data,Machine learning,Frequency space transforms,biosignals,shift invarience,Fast Fourier Transform,hjorth parameters,signal processing,all the tags,Brains,BCIs,machine learning algorithms,Brain Computer Interface,NXT,Neurotechnology exploration,RIT,Rochester Institute of Technology,neurotechX,EOG,