Review on psychological stress detection using biosignals
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 …
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
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
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
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 …
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 …
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …
Automated EEG analysis of epilepsy: a review
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 …
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …
Customized VGG19 architecture for pneumonia detection in chest X-rays
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 …
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
Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …
epileptic processes in particular. EEG signals provide important information about …
A computerized method for automatic detection of schizophrenia using EEG signals
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 …
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 …
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 …
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
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 …
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …