Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy
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DOI: 10.3390/e21090840
Abstract: Biomedical signals are measurable time series that describe a physiological state of a biological system. Entropy algorithms have been previously used to quantify the complexity of biomedical signals, but there is a need to understand… read more here.
Keywords: permutation; entropy; analysis; signal ... See more keywords
New Fast ApEn and SampEn Entropy Algorithms Implementation and Their Application to Supercomputer Power Consumption
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DOI: 10.3390/e22080863
Abstract: Approximate Entropy and especially Sample Entropy are recently frequently used algorithms for calculating the measure of complexity of a time series. A lesser known fact is that there are also accelerated modifications of these two… read more here.
Keywords: package; time series; entropy; power consumption ... See more keywords
Entropy Algorithms Using Deep Learning for Signal Processing
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DOI: 10.3390/e25010023
Abstract: Image and video processing operatons are significant in our life as most electronic devices, such as PCs and mobiles, are all developed by signal processing [...]. read more here.
Keywords: processing; algorithms using; signal processing; entropy algorithms ... See more keywords