An original method for staging sleep based on dynamical analysis of a single EEG signal.
C. Frilot II, D.E. McCarty & A.A. MARINO. J. Neurosci. Methods 308:135–141, 2018. [PDF]
Brain-related biomarkers: past, present, and a possible future.
A.A. MARINO. Presentation. Neurology Grand Rounds, LSU Health Sciences Center – Shreveport, May 2, 2014. [PDF]
Classification of sleep states based on brain electrophysiology assessed using recurrence analysis of single-channel EEG.
C. Frilot II, D.E. McCarty, P.Y. Kim & A.A. MARINO. Presentation. SLEEP 2016: 30th Annual Meeting, Associated Professional Sleep Societies. Denver, CO, June 11–15, 2016. [PDF]
Analysis of brain recurrence.
C. Frilot II, P.Y. Kim, S. Carrubba, D.E. McCarty, A.L. Chesson Jr. & A.A. MARINO. In Recurrence Quantification Analysis, Understanding Complex Systems. C.L. Webber Jr. & N. Marwan, eds. Springer International Publishing, 2014. [PDF]
Continuous EEG-based dynamic markers for sleep depth and phasic events.
S. Carrubba, P.Y. Kim, D.E. McCarty, A.L. Chesson Jr., C. Frilot & A.A. MARINO. J. Neurosci. Meth. 208:1–9, 2012. [PDF]
Neurobiophysics.
O.V. Kolomytkin & A.A. MARINO. In Handbook of Molecular Biophysics: Methods and Applications. H.G. Bohr, Ed. Wiley VCH, pp. 523–556, 2009. [PDF]
Method for detection of changes in the EEG induced by the presence of sensory stimuli.
S. Carrubba, C. Frilot, A.L. Chesson, Jr. & A.A. MARINO. J. Neurosci. Meth. 173: 41–46, 2008. [PDF]
Detection of nonlinear event-related potentials.
S. Carrubba, C. Frilot, A. Chesson & A.A. MARINO. J. Neurosci. Meth. 157: 39–47, 2006. [PDF]
United States Patent No. US 6,547,746 B1: Method and Apparatus for Determining Response Thresholds.
Andrew A. MARINO. April 15, 2003. [PDF]