Depression identification using eeg signals via a hybrid of lstm and spiking neural networks

A Sam, R Boostani, S Hashempour… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Depression severity can be classified into distinct phases based on the Beck depression
inventory (BDI) test scores, a subjective questionnaire. However, quantitative assessment of …

Design analysis and performance enhancement of a 2-element MIMO skin-implantable antenna for IoT-based health monitoring devices

A Gupta, M Aljaidi, S Bansal, RE Al Mamlook, V Kumar… - PloS one, 2024 - journals.plos.org
Two two-element slotted patch multiple-input multiple-output (MIMO) antenna with coplanar
waveguide (CPW) feed is proposed for deployment in implantable medical devices …

Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models

R Alazaidah, G Samara, M Aljaidi, M Haj Qasem… - Diagnostics, 2023 - mdpi.com
Sleep disorder is a disease that can be categorized as both an emotional and physical
problem. It imposes several difficulties and problems, such as distress during the day, sleep …

Logistic Regression Classification for Assessing the Risk of Kidney Tumor

D Alzu'bi, RE Al Mamlook, A Nasayreh… - … on Electrical, Energy …, 2023 - ieeexplore.ieee.org
The kidneys have the important function of filtering waste products and toxins from the blood
in the human body. Any problems affecting the kidneys can potentially impact their efficiency …

CONTINUOUS SCORING OF AUTISM SPECTRUM DISORDER PATIENTS BY ANALYZING THEIR EEG SIGNALS

E Afrooz, M Taghavi, A Ghavasieh… - Biomedical …, 2024 - World Scientific
Clinical manifestations and standard psychological tests have been widely used to diagnose
autism spectrum disorder (ASD) patients and evaluate their severity level. The gold-standard …

Development of a Prototype Global Positioning System Based Stick for Blind Patients.

R Kumar, M Aljaidi, MK Singla… - … Journal of Online & …, 2024 - search.ebscohost.com
This paper presents a novel vision impairment assistive device to improve mobility and
independence. This device consists of Arduino Nano microcontroller technology that powers …

Diagnosis of Epileptic Seizures in TLE Patients by Improved Cepstrum Analysis

B Tajadini, H Attar, SRS Nejad… - … on Electrical, Energy …, 2023 - ieeexplore.ieee.org
Epilepsy is a common chronic brain disease characterized by recurrent seizures. The most
effective way to detection the arrival of an epileptic seizure is EEG analysis. Various …

Simulating of Magnetoencephalography Signals

S Omranian, H Attar, R Boostani - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Neural brain activities can be non-invasively characterized by analyzing both magneto
encephalogram (MEG) and electroencephalogram (EEG) signals. Since the content of …