Traumatic brain injury detection using electrophysiological methods

PE Rapp, DO Keyser, A Albano… - Frontiers in human …, 2015 - frontiersin.org
Measuring neuronal activity with electrophysiological methods may be useful in detecting
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …

A systematic review on feature extraction in electroencephalography-based diagnostics and therapy in attention deficit hyperactivity disorder

P Arpaia, A Covino, L Cristaldi, M Frosolone… - Sensors, 2022 - mdpi.com
A systematic review on electroencephalographic (EEG)-based feature extraction strategies
to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is …

[BOOK][B] Multiscale analysis of complex time series: integration of chaos and random fractal theory, and beyond

J Gao, Y Cao, W Tung, J Hu - 2007 - books.google.com
The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …

The rotenone-induced rat model of Parkinson's disease: behavioral and electrophysiological findings

C von Wrangel, K Schwabe, N John, JK Krauss… - Behavioural brain …, 2015 - Elsevier
Exposure to rotenone leads to parkinsonian features, such as loss of dopaminergic neurons
in the substantia nigra and motor impairment, however, the validity of this model has recently …

An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series …

H Ghamkhar, MJ Ghazizadeh, SH Mohajeri… - Sustainable Cities and …, 2023 - Elsevier
The expansion of cities puts a high demand on water utilities to provide fresh water amidst
global water stress. One of the most challenging issues that continuously menaces water …

Classification of gait rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different …

Y **a, Q Gao, Q Ye - Biomedical Signal Processing and Control, 2015 - Elsevier
For the purpose of realizing an intelligent and highly accurate diagnosis system for neuro-
degenerative diseases (NDD), such as amyotrophic lateral sclerosis (ALS), Parkinson's …

A permutation Lempel-Ziv complexity measure for EEG analysis

Y Bai, Z Liang, X Li - Biomedical Signal Processing and Control, 2015 - Elsevier
Objective In this study we develop a new complexity measure of time series by combining
ordinal patterns and Lempel-Ziv complexity (LZC) for quantifying the dynamical changes of …

A rule-based seizure prediction method for focal neocortical epilepsy

A Aarabi, B He - Clinical Neurophysiology, 2012 - Elsevier
OBJECTIVE: In the present study, we have developed a novel patient-specific rule-based
seizure prediction system for focal neocortical epilepsy. METHODS: Five univariate …

Feature extraction methods of ship-radiated noise: From single feature of multi-scale dispersion Lempel-Ziv complexity to mixed double features

Y Li, X Jiang, B Tang, F Ning, Y Lou - Applied Acoustics, 2022 - Elsevier
Abstract Dispersion Lempel-Ziv complexity (DLZC) has been introduced into the field of
underwater acoustic with great performance, but it only reflects complexity information from …

Flexibility and complexity: is it a trade-off?

G Chryssolouris, K Efthymiou… - … Journal of Production …, 2013 - Taylor & Francis
The aim of this paper is to investigate the relationship between flexibility and complexity. A
number of flexibility measurement approaches are presented and are connected with the …