Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals

2015 ◽  
Vol 18 ◽  
pp. 174-178 ◽  
Author(s):  
Ankita Shukla ◽  
Angshul Majumdar
Keyword(s):  
Compressed Sensing ◽  
Eeg Signals

scholarly journals Dictionary selection for compressed sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning

2020 ◽  
Vol 6 (6) ◽  
pp. 065024
Author(s):  
Manika Rani Dey ◽  
Arsam Shiraz ◽  
Saeed Sharif ◽  
Jaswinder Lota ◽  
Andreas Demosthenous
Keyword(s):  
Compressed Sensing ◽  
Bayesian Learning ◽  
Sparse Bayesian Learning ◽  
Eeg Signals ◽  
Binary Matrix ◽  
Selection For

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

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