Enabling technologies for fog computing in healthcare IoT systems

AA Mutlag, MK Abd Ghani, N Arunkumar… - Future generation …, 2019 - Elsevier
Context: A fog computing architecture that is geographically distributed and to which a
variety of heterogeneous devices are ubiquitously connected at the end of a network in …

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny… - Applied …, 2024 - Springer
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Focal and non-focal epilepsy localization: A review

AF Hussein, N Arunkumar, C Gomes… - IEEE …, 2018 - ieeexplore.ieee.org
The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which
has affected million people in the world. Hence, an early detection of the focal epileptic …

Alcoholic EEG signals recognition based on phase space dynamic and geometrical features

MT Sadiq, H Akbari, S Siuly, Y Li, P Wen - Chaos, Solitons & Fractals, 2022 - Elsevier
Alcoholism is a severe disorder that leads to brain problems and associated cognitive,
emotional and behavioral impairments. This disorder is typically diagnosed by a …

Time-frequency domain deep convolutional neural network for the classification of focal and non-focal EEG signals

S Madhavan, RK Tripathy, RB Pachori - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
The neurological disease such as the epilepsy is diagnosed using the analysis of
electroencephalogram (EEG) recordings. The areas of the brain associated with the …

Adversarial representation learning for robust patient-independent epileptic seizure detection

X Zhang, L Yao, M Dong, Z Liu… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous
seizures, which affects about one percent of the worlds population. Most of the current …

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 unified framework and method for EEG-based early epileptic seizure detection and epilepsy diagnosis

Z Chen, G Lu, Z Xie, W Shang - IEEE Access, 2020 - ieeexplore.ieee.org
Electroencephalogram (EEG) contains important physiological information that can reflect
the activity of human brain, making it useful for epileptic seizure detection and epilepsy …

Detection of focal and non-focal electroencephalogram signals using fast Walsh-Hadamard transform and artificial neural network

MSP Subathra, MA Mohammed, MS Maashi… - Sensors, 2020 - mdpi.com
The discrimination of non-focal class (NFC) and focal class (FC), is vital in localizing the
epileptogenic zone (EZ) during neurosurgery. In the conventional diagnosis method, the …

LightSeizureNet: A lightweight deep learning model for real-time epileptic seizure detection

S Qiu, W Wang, H Jiao - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
The monitoring of epilepsy patients in non-hospital environment is highly desirable, where
ultra-low power wearable seizure detection devices are essential in such a system. The …