EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding

Electroencephalography (EEG) signals are commonly used in medical applications for prevention, diagnosis, and detection of neurological diseases. These EEG signals have also been used in designing brain computer interfaces for assistive technologies. For densely placed electrodes and long EEG record...

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Bibliographic Details
Main Authors: Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi Alnowami
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electroencephalography (EEG)
compression
motion compensated temporal filtering (MCTF)
set partitioning in hierarchical tress (SPIHT)
discrete wavelet transform
Online Access:https://ieeexplore.ieee.org/document/9104996/

Internet

https://ieeexplore.ieee.org/document/9104996/

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