AHW-BGOA-DNN: A novel deep learning model for epileptic seizure detection

HA Glory, C Vigneswaran, SS Jagtap, R Shruthi… - Neural Computing and …, 2021 - Springer
Abstract “Brain–Computer Interface”(BCI)—a real-life support system provides a way for
epileptic patients to improve their quality of life. In general, epileptic seizure detection using …

Improving automated diagnosis of epilepsy from EEGs beyond IEDs

P Thangavel, J Thomas, N Sinha, WY Peh… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Clinical diagnosis of epilepsy relies partially on identifying interictal epileptiform
discharges (IEDs) in scalp electroencephalograms (EEGs). This process is expert-biased …

Revised tunable Q-factor wavelet transform for EEG-based epileptic seizure detection

Z Liu, B Zhu, M Hu, Z Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electroencephalogram (EEG) signals are an essential tool for the detection of epilepsy.
Because of the complex time series and frequency features of EEG signals, traditional …

Macromixing study for various designs of impellers in a stirred vessel

RA Ghotli, MS Shafeeyan, MR Abbasi… - … and Processing-Process …, 2020 - Elsevier
The effect of the impeller designs and impeller clearance level (C/T) on power consumption,
mixing time and air entrainment point in a single liquid phase under turbulent conditions …

Enhancing Medical Signal Processing and Diagnosis with AI-Generated Content Techniques

L Fang, Y Li, M Shao, A Yu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In medical diagnostics, the accurate classification and analysis of biomedical signals play a
crucial role, particularly in the diagnosis of neurological disorders such as epilepsy …

Dynamic process modeling and hybrid intelligent control of ethylene copolymerization in gas phase catalytic fluidized bed reactors

MR Abbasi, A Shamiri, MA Hussain… - Journal of Chemical …, 2019 - Wiley Online Library
BACKGROUND Polyethylene (PE) is the most extensively consumed plastic in the world,
and gas phase‐based processes are widely used for its production owing to their flexibility …

Multiview feature fusion representation for interictal epileptiform spikes detection

C Cheng, Y Zhou, B You, Y Liu, G Fei… - International Journal of …, 2022 - World Scientific
Interictal epileptiform spikes (IES) of scalp electroencephalogram (EEG) signals have a
strong relation with the epileptogenic region. Since IES are highly unlikely to be detected in …

SQNN: a spike-wave index quantification neural network with a pre-labeling algorithm for epileptiform activity identification and quantification in children

Y Yu, Y Chen, Y Li, Z Gao, Z Gai… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Electrical status epilepticus during slow sleep (ESES) is a phenomenon identified
by strong activation of epileptiform activity in the electroencephalogram (EEG) during sleep …

Motor Imagery EEG Recognition Based on Weight-Sharing CNN-LSTM Network

Y Liu, B Zhao, S Zhang, W Xiao - 2022 34th Chinese Control …, 2022 - ieeexplore.ieee.org
The brain-computer interface technology enables the disabled to control external devices
through the motor imagery EEG. Due to the complex changes of EEG in the time domain and …

Construction of Complex Brain Network Based on EEG Signals and Evaluation of General Anesthesia Status

Z Xiao, Z Xu, L Ma - International Conference on Intelligent Robotics and …, 2022 - Springer
General anesthesia is now an important part of surgery, it can ensure that patients undergo
surgery in a painless and unconscious state. The traditional anesthesia depth assessment …