Review on psychological stress detection using biosignals

G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

B Jena, S Saxena, GK Nayak, L Saba, N Sharma… - Computers in Biology …, 2021 - Elsevier
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

UR Acharya, SL Oh, Y Hagiwara, JH Tan… - Computers in biology and …, 2018 - Elsevier
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of
epilepsy. The EEG signal contains information about the electrical activity of the brain …

Automated detection of Alzheimer's disease using brain MRI images–a study with various feature extraction techniques

UR Acharya, SL Fernandes, JE WeiKoh… - Journal of medical …, 2019 - Springer
The aim of this work is to develop a Computer-Aided-Brain-Diagnosis (CABD) system that
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …

Automated EEG analysis of epilepsy: a review

UR Acharya, SV Sree, G Swapna, RJ Martis… - Knowledge-Based …, 2013 - Elsevier
Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …

Customized VGG19 architecture for pneumonia detection in chest X-rays

N Dey, YD Zhang, V Ra**ikanth, R Pugalenthi… - Pattern Recognition …, 2021 - Elsevier
Pneumonia is one of the major illnesses in children and aged humans due to the Infection in
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …

[HTML][HTML] Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

O Faust, UR Acharya, H Adeli, A Adeli - Seizure, 2015 - Elsevier
Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …

A computerized method for automatic detection of schizophrenia using EEG signals

S Siuly, SK Khare, V Bajaj, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Diagnosis of schizophrenia (SZ) is traditionally performed through patient's interviews by a
skilled psychiatrist. This process is time-consuming, burdensome, subject to error and bias …

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …

D Sadeghi, A Shoeibi, N Ghassemi, P Moridian… - Computers in Biology …, 2022 - Elsevier
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Application of entropies for automated diagnosis of epilepsy using EEG signals: A review

UR Acharya, H Fujita, VK Sudarshan, S Bhat… - Knowledge-based …, 2015 - Elsevier
Epilepsy is the neurological disorder of the brain which is difficult to diagnose visually using
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …