Objective: This research aims to design a hardware optimized machine learning based
Depth of Anesthesia (DOA) measurement framework for mice and its FPGA implementation …

Background EEG represents a cost-effective mechanism to evaluate brain function. To
realize its potential, it is essential to identify aspects of the signal that provide insight into …

Brain activities measured by EEG exhibit complex behavior with nonlinear dynamic
properties. Therefore, methods derived from nonlinear theory could contribute to the …

Background Laboratory practice commonly implies rodent anesthesia. Such is instrumental
not only for animal welfare, but also for standardized assessment of new anesthetics. New …

An explorative study to assess the regularity of nocturnal frontal lobe epilepsy's sleeping
disease patients with power spectral entropy and power spectral entropy variation in …

0001. The present invention relates to a method for mea Suring an anesthetic depth, and
more particularly, to a method and an apparatus for measuring an anesthetic depth, capable …

The nature and severity of mitral/tufted (M/T) cells reactions to odorants presented in
anesthesia depend on various factors, and, above all, the nature and concentration of the …

Entropy measures have been widely used in analyzing neural signals from micro-to
macroscales for the normal or abnormal brain assessment. As it is unrealistic to systematic …

This work presents the implementation of a small, light and wireless electroencephalogram
(EEG) and intracranial EEG (iEEG) acquisition system called" Wireless Neuro …

The nature and severity of mitral/tufted (M/T) cells reactions to odorants presented in
anesthesia depend on various factors, and, above all, the nature and concentration of the …