A Review on the Applications of Time‐Frequency Methods in ECG Analysis

BK Pradhan, BC Neelappu… - Journal of …, 2023 - Wiley Online Library
The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform

ST George, MSP Subathra, NJ Sairamya… - Biocybernetics and …, 2020 - Elsevier
Epilepsy is a widely spread neurological disorder caused due to the abnormal excessive
neural activity which can be diagnosed by inspecting the electroencephalography (EEG) …

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets

P Handa, E Gupta, S Muskan, N Goel - Expert Systems, 2023 - Wiley Online Library
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …

Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP

O Kocadagli, E Ozer, AG Batista - Expert Systems with Applications, 2023 - Elsevier
Epilepsy is the fourth most common neurological disorder, which affects the brain and brings
out frequent seizures. They are bursts of electrical discharge that can cause a wide range of …

An optimal sensor location based protection scheme for DER-integrated hybrid AC/DC microgrid with reduced communication delay

AG Rameshrao, E Koley, S Ghosh - Sustainable Energy, Grids and …, 2022 - Elsevier
In spite of the advantages, the acceptance of hybrid microgrid has been hindered due to the
complexity of the protection task. With increased number of DERs (Distributed Energy …

A hybrid approach based on complete ensemble empirical mode decomposition with adaptive noise for multi-step-ahead solar radiation forecasting

K Ferkous, T Boulmaiz, F Abdelmouiz Ziari… - Clean Energy, 2022 - academic.oup.com
Accurate measurements of solar radiation are required to ensure that power and energy
systems continue to function effectively and securely. On the other hand, estimating it is …

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG

C Li, H Li, X Dong, X Zhong, H Cui, D Ji, L He, G Liu… - Neural Networks, 2025 - Elsevier
Timely detecting epileptic seizures can significantly reduce accidental injuries of epilepsy
patients and offer a novel intervention approach to improve their quality of life. Investigation …

EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network

NJ Sairamya, MSP Subathra - Knowledge-Based Systems, 2022 - Elsevier
Diagnosis of epileptic seizure types is vital for the neurologists to comprehend the cortical
connectivity of the brain, and to initiate the apt treatment for the epileptic subjects at the …

Practical application of a safe human-robot interaction software

MC Bingol, O Aydogmus - Industrial Robot: the international journal of …, 2020 - emerald.com
Purpose Because of the increased use of robots in the industry, it has become inevitable for
humans and robots to be able to work together. Therefore, human security has become the …

Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review

P Handa, Lavanya, N Goel, N Garg - Artificial Intelligence Review, 2024 - Springer
Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …