Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
P Boonyakitanont, A Lek-Uthai, K Chomtho… - … Signal Processing and …, 2020 - Elsevier
Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …
A multi-view deep learning framework for EEG seizure detection
The recent advances in pervasive sensing technologies have enabled us to monitor and
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to …
Automatic epileptic EEG detection using convolutional neural network with improvements in time-domain
Z Wei, J Zou, J Zhang, J Xu - Biomedical Signal Processing and Control, 2019 - Elsevier
Epilepsy is a neurological disorder, and clinicians usually diagnose epilepsy by interpreting
electroencephalogram (EEG) manually. This paper proposes a novel automatic epileptic …
electroencephalogram (EEG) manually. This paper proposes a novel automatic epileptic …
A recent investigation on detection and classification of epileptic seizure techniques using EEG signal
The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …
and diagnosis for the realization and actualization of computer-aided devices and recent …
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …
An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis
Epilepsy disease is one of the most prevalent neurological disorders caused by malfunction
of large symptoms number of neurons. That's lead us to propose an automated approach to …
of large symptoms number of neurons. That's lead us to propose an automated approach to …
Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network
Introduction Epilepsy is a global chronic disease that brings pain and inconvenience to
patients, and an electroencephalogram (EEG) is the main analytical tool. For clinical aid that …
patients, and an electroencephalogram (EEG) is the main analytical tool. For clinical aid that …
EEG-brain activity monitoring and predictive analysis of signals using artificial neural networks
Predictive observation and real-time analysis of the values of biomedical signals and
automatic detection of epileptic seizures before onset are beneficial for the development of …
automatic detection of epileptic seizures before onset are beneficial for the development of …
Cross-patient automatic epileptic seizure detection using patient-adversarial neural networks with spatio-temporal EEG augmentation
Z Zhang, T Ji, M Xiao, W Wang, G Yu, T Lin… - … Signal Processing and …, 2024 - Elsevier
Cross-patient automatic epileptic seizure detection through electroencephalogram (EEG) is
significant for clinical application and research. However, most automatic seizure detection …
significant for clinical application and research. However, most automatic seizure detection …