A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems

A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems

The wider use of wearable devices for electroencephalogram (EEG) data capturing provides a very useful way for the monitoring and self-management of human health. However, the large volumes of data with high dimensions cause computational complexity in EEG data processing and pose a great challenge...

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Bibliographic Details
Main Authors: Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, Yonghong Peng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Human-centered health monitoring
wearable EEG
dimensionality reduction
regularized matrix discriminant analysis
projection matrices stack
machine learning algorithms
Online Access:https://ieeexplore.ieee.org/document/8286966/

Internet

https://ieeexplore.ieee.org/document/8286966/

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