Multiscale entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps.
BACKGROUND
Brain neural activity is measured using electroencephalography (EEG) recording from the scalp. The EEG motor/imagery tasks help disabled people to communicate with the external environment.


OBJECTIVE
In this paper, robust multiscale sample entropy (MSE) and wavelet entropy measures are employed using topographic maps' analysis and tabulated form to quantify the dynamics of EEG motor movements tasks with actual and imagery opening and closing of fist or feet movements.


METHODS
To distinguish these conditions, we used the topographic maps which visually show the significance level of the brain regions and probes for dominant activities. The paired t-test and Posthoc Tukey test are used to find the significance levels.


RESULTS
The topographic maps results obtained using MSE reveal that maximum electrodes show the significance in frontpolar, frontal, and few frontal and parietal brain regions at temporal scales 3, 4, 6 and 7. Moreover, it was also observed that the distribution of significance is from frontoparietal brain regions. Using wavelet entropy, the significant results are obtained at frontpolar, frontal, and few electrodes in right hemisphere. The highest significance is obtained at frontpolar electrodes followed by frontal and few central and parietal electrodes.
['Hussain|Lal|L|', 'Aziz|Wajid|W|', 'Alshdadi|Abdulrahman A|AA|', 'Abbasi|Adeel Ahmed|AA|', 'Majid|Abdul|A|', 'Marchal|Ali Raza|AR|']
D001931:Brain Mapping D062207:Brain-Computer Interfaces D004569:Electroencephalography D005528:Foot D006225:Hand D006801:Humans D009068:Movement D058067:Wavelet Analysis
Electroencephalography (EEG) multiscale sample entropy (MSE) multiscale wavelet entropy (MWE)