Over the last years, a surge of empirical studies converged on complexity-related measures
as reliable markers of consciousness across many different conditions, such as sleep …

(1) Background: Chaos, a feature of nonlinear dynamical systems, is well suited for
exploring biological time series, such as heart rates, respiratory records, and particularly …

Highlights:► Twelve entropy indices were systematically compared in monitoring depth of
anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in …

The neurological disorder epilepsy causes substantial problems to the patients with
uncontrolled seizures or even sudden deaths. Accurate detection and prediction of epileptic …

Parameters useful for the diagnosis of pathological processes leading to the deterioration of
the articular cartilage surfaces of knee joints, such as osteoarthritis, may be derived from …

Monitoring the brain state in anaesthesia is crucial for clinical doctors. In this study, we
propose a novel nonlinear method, the permutation Lempel–Ziv complexity (PLZC) index …

This study applies Bayesian techniques to analyze EEG signals for the assessment of the
consciousness and depth of anesthesia (DoA). This method takes the limiting large-sample …

Rheum emodi is a Himalayan herb of family Polygonaceace, known for its medicinal
properties owing to the presence of chrysophanol, emodin, physcion, aloe emodi …

This paper reviews the existing depth of anaesthesia (DoA) monitors and their algorithms
and also proposes to improve their performance from four aspects. An ideal DoA monitor …

General anesthesia is a critical procedure in clinical surgery. To offer a closed control of
depth of hypnosis, we establish a closed-loop anesthetic delivery system for propofol …