Month: June 2019

Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis

Indentifying lateralization of bilateral temporal lobe epilepsy (TLE) is a challenging issue, scalp electroencephalography (EEG) and routine band electrocorticography (ECoG) fail to reveal the epileptogenic focus for further temporal lobectomy treatment. HFOs can be utilized as a biomarker for lateralizing the onset zone in suspected bitemporal epilepsy. Except subjective vision detect the HFOs, objective verification […]

Published on June 29, 2019

Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features

K-complexes identification is a challenging task in sleep research. The detection of k-complexes in electroencephalogram (EEG) signals based on visual inspection is time-consuming, prone to errors, and requires well-trained knowledge. Many existing methods for k-complexes detection rely mainly on analysing EEG signals in time and frequency domains. In this study, an efficient method is proposed […]

Published on June 29, 2019

A Temporal Signal-Processing Circuit Based on Spiking Neuron and Synaptic Learning

Time is a continuous, homogeneous, one-way and independent signal that cannot be modified by human will. Nearly 2,500 ago, Aristotle contended that, “time is the most unknown of all unknown things.” However, both humans and other animals have the ability to perceive time, and it is extremely easy to reproduce the time interval between two […]

Published on June 29, 2019