6 citations · 14 across the 8 of their papers we have counts for
8 papers
Nonlinear aspects of the EEG during sleep in children
Matthew J. Berryman, Scott W. Coussens, Yvonne Pamula +7
Electroencephalograph (EEG) analysis enables the neuronal behavior of a section of the brain to be examined. If the behavior is nonlinear then nonlinear tools can be used to glean…
Mutual information for examining correlations in DNA
Matthew J. Berryman, Andrew Allison, Derek Abbott
This paper examines two methods for finding whether long-range correlations exist in DNA: a fractal measure and a mutual information technique. We evaluate the performance and impl…
Fluctuations and noise in cancer development
Matthew J. Berryman, Sabrina L. Spencer, Andrew Allison +1
This paper explores fluctuations and noise in various facets of cancer development. The three areas of particular focus are the stochastic progression of cells to cancer, fluctuati…
Stochastic evolution and multifractal classification of prokaryotes
Matthew J. Berryman, Andrew Allison, Derek Abbott
We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood method…
Techniques for noise removal from EEG, EOG and air flow signals in sleep patients
Matthew J. Berryman, Sheila Messer, Andrew Allison +1
Noise is present in the wide variety of signals obtained from sleep patients. This noise comes from a number of sources, from presence of extraneous signals to adjustments in signa…
Signal processing and statistical methods in analysis of text and DNA
Matthew J. Berryman, Andrew Allison, Pedro Carpena +1
A number of signal processing and statistical methods can be used in analyzing either pieces of text or DNA sequences. These techniques can be used in a number of ways, such as det…