Machine learning algorithms for epilepsy detection based on published EEG databases: A systematic review
Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
Seizure detection algorithm based on improved functional brain network structure feature extraction
L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …
seizures is essential for treatment. A seizure detection method with the structure of functional …
Survey on Epileptic Seizure Detection on Varied Machine Learning Algorithms
Epilepsy is an unavoidable major persistent and critical neurological disorder that influences
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …
Epileptical seizure detection: Performance analysis of gamma band in EEG signal using short-time Fourier transform
The EEG signal consist various frequency bands, which represents human activities like
emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to …
emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to …
Studying multi-frequency multilayer brain network via deep learning for EEG-based epilepsy detection
Epilepsy makes the patients suffer great pain and has a very bad impact on daily life. In this
paper, a novel method is proposed to implement electroencephalogram (EEG)-based …
paper, a novel method is proposed to implement electroencephalogram (EEG)-based …
An automated epileptic seizure detection using optimized neural network from EEG signals
MM Chanu, NH Singh, K Thongam - Expert Systems, 2023 - Wiley Online Library
Among the central nervous system (neurological) disorders, epilepsy is considered to be a
dangerous and chronic disorder that causes recurring seizures, showing unusual behaviour …
dangerous and chronic disorder that causes recurring seizures, showing unusual behaviour …
Optimizing non-uniform multivariate embedding for multiscale entropy analysis of complex systems
Multivariate signals are ubiquitous in various complex systems. There has been substantial
interest in measuring the complexity of them to describe the target system. Traditional …
interest in measuring the complexity of them to describe the target system. Traditional …
Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform
SR Ashokkumar, G MohanBabu - Journal of Intelligent & …, 2020 - content.iospress.com
Epilepsy is a nervous disorder that causes arbitrary recurrent seizures within the cerebral
cortex region of the encephalon. The early diagnosis of a seizure is important in clinical …
cortex region of the encephalon. The early diagnosis of a seizure is important in clinical …
Characteristic analysis of epileptic brain network based on attention mechanism
HS Yu, XF Meng - Scientific Reports, 2023 - nature.com
Constructing an efficient and accurate epilepsy detection system is an urgent research task.
In this paper, we developed an EEG-based multi-frequency multilayer brain network …
In this paper, we developed an EEG-based multi-frequency multilayer brain network …
Sensing and monitoring of epileptical seizure under IoT platform
AK Gupta, C Chakraborty, B Gupta - Smart medical data sensing and …, 2020 - igi-global.com
Epilepsy is a disorder that affects the life of the patient. In this neurological disorder, patients
may suffer from different types of seizures. From epileptic patients, we may acquire …
may suffer from different types of seizures. From epileptic patients, we may acquire …