Contactless monitoring of heart rate variability during respiratory maneuvers
Heart rate variability (HRV) is a noninvasive marker for the cardiovascular system and the
substantial influence of this system on the autonomous nervous system (ANS). Contact and …
substantial influence of this system on the autonomous nervous system (ANS). Contact and …
Poincaré analysis of the electroencephalogram during sevoflurane anesthesia
K Hayashi, N Mukai, T Sawa - Clinical Neurophysiology, 2015 - Elsevier
Abstract Objective The Poincaré plot is a two-dimensional state-space approach, where a
timed signal is plotted against itself after a time delay, enabling determination of the dynamic …
timed signal is plotted against itself after a time delay, enabling determination of the dynamic …
[PDF][PDF] Nonlinear analysis of human gait signals
Nonlinear dynamics has been introduced to the analysis of biological data and increasingly
recognized to be functionally relevant. The aim of this study is to evaluate nonlinear and …
recognized to be functionally relevant. The aim of this study is to evaluate nonlinear and …
[PDF][PDF] Classification of heart rate signals during meditation using Lyapunov exponents and entropy
Meditation is commonly perceived as an alternative medicine method of psychological
diseases management tool that assist in alleviating depression and anxiety disorders. The …
diseases management tool that assist in alleviating depression and anxiety disorders. The …
[PDF][PDF] Classification of electroencephalographic changes in meditation and rest: using correlation dimension and wavelet coefficients
Meditation is a practice of concentrated focus upon the breath in order to still the mind. In this
paper we have investigated an algorithm to classify rest and meditation, by processing of …
paper we have investigated an algorithm to classify rest and meditation, by processing of …
Assessment of sedation-analgesia by means of poincaré analysis of the electroencephalogram
Monitoring the levels of sedation-analgesia may be helpful for managing patient stress on
minimally invasive medical procedures. Monitors based on EEG analysis and designed to …
minimally invasive medical procedures. Monitors based on EEG analysis and designed to …
[PDF][PDF] Classification of epileptic EEG signals using time-delay neural networks and probabilistic neural networks
The aim of this paper is to investigate the performance of time delay neural networks
(TDNNs) and the probabilistic neural networks (PNNs) trained with nonlinear features …
(TDNNs) and the probabilistic neural networks (PNNs) trained with nonlinear features …
Brain Electrical Activity Map** in Military Pilots During Simulator Trainings
The aim of this study is to describe an evaluation method and measurement methodology for
the study of variations in electroencephalography (EEG) signals in fighter pilots during …
the study of variations in electroencephalography (EEG) signals in fighter pilots during …
[HTML][HTML] Selección del tiempo de retardo en el gráfico de Poincaré: Medición de los niveles de sedación y analgesia con señales EEG
El gráfico de Poincaré es un método no lineal que permite analizar la variabilidad de una
señal, dibujando dicha señal contra ella misma retardada en el tiempo. Aunque este …
señal, dibujando dicha señal contra ella misma retardada en el tiempo. Aunque este …
[PDF][PDF] Analysis of electroencephalogram signals in different sleep stages using Detrended fluctuation analysis
Scaling behavior is an indicator of the lack of characteristic time scale, and the existence of
longrange correlations related to physiological constancy preservation. To investigate the …
longrange correlations related to physiological constancy preservation. To investigate the …