[图书][B] Fractional processes and fractional-order signal processing: techniques and applications

H Sheng, YQ Chen, TS Qiu - 2011 - books.google.com
Fractional processes are widely found in science, technology and engineering systems. In
Fractional Processes and Fractional-order Signal Processing, some complex random …

[图书][B] Poincaré plot methods for heart rate variability analysis

AH Khandoker, C Karmakar, M Brennan… - 2013 - Springer
Heart rate variability is the study of autonomic nervous activity through the information
provided by fluctuations in heart rate. Autonomic activity is responsible for regulating heart …

Selection of optimal wavelet features for epileptic EEG signal classification with LSTM

I Aliyu, CG Lim - Neural Computing and Applications, 2023 - Springer
Epilepsy remains one of the most common chronic neurological disorders; hence, there is a
need to further investigate various models for automatic detection of seizure activity. An …

Selection of features for patient-independent detection of seizure events using scalp EEG signals

S Yang, B Li, Y Zhang, M Duan, S Liu, Y Zhang… - Computers in biology …, 2020 - Elsevier
Epilepsy involves brain abnormalities that may cause sudden seizures or other
uncontrollable body activities. Epilepsy may have substantial impacts on the patient's quality …

Automatic recognition of epileptic EEG patterns via extreme learning machine and multiresolution feature extraction

Y Song, J Zhang - Expert Systems with Applications, 2013 - Elsevier
Epilepsy is one of the most common neurological disorders-approximately one in every 100
people worldwide are suffering from it. In this paper, a novel pattern recognition model is …

Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG …

RA Chowdhury, I Merlet, G Birot, E Kobayashi, A Nica… - NeuroImage, 2016 - Elsevier
Abstract Electric Source Imaging (ESI) and Magnetic Source Imaging (MSI) of EEG and MEG
signals are widely used to determine the origin of interictal epileptic discharges during the …

Non-Gaussianity detection of EEG signals based on a multivariate scale mixture model for diagnosis of epileptic seizures

A Furui, R Onishi, A Takeuchi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: The detection of epileptic seizures from scalp electroencephalogram (EEG)
signals can facilitate early diagnosis and treatment. Previous studies suggested that the …

Fractal structure of brain electrical activity of patients with mental disorders

OE Dick, SV Murav'eva, VS Lebedev - Frontiers in Physiology, 2022 - pmc.ncbi.nlm.nih.gov
This work was aimed at a comparative analysis of the degree of multifractality of
electroencephalographic time series obtained from a group of healthy subjects and from …

EEG based motor imagery study of time domain features for classification of power and precision hand grasps

R Roy, D Sikdar, M Mahadevappa… - 2017 8th International …, 2017 - ieeexplore.ieee.org
Grasping objects is one of the most important hand utilisation in everyday life. Due to
neuromuscular ailments or injury, some people are unable to move their hands. Though …

Increased sample entropy in EEGs during the functional rehabilitation of an injured brain

Q Cheng, W Yang, K Liu, W Zhao, L Wu, L Lei, T Dong… - Entropy, 2019 - mdpi.com
Complex nerve remodeling occurs in the injured brain area during functional rehabilitation
after a brain injury; however, its mechanism has not been thoroughly elucidated. Neural …