Depression identification using eeg signals via a hybrid of lstm and spiking neural networks
Depression severity can be classified into distinct phases based on the Beck depression
inventory (BDI) test scores, a subjective questionnaire. However, quantitative assessment of …
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
Two two-element slotted patch multiple-input multiple-output (MIMO) antenna with coplanar
waveguide (CPW) feed is proposed for deployment in implantable medical devices …
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
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 …
problem. It imposes several difficulties and problems, such as distress during the day, sleep …
Logistic Regression Classification for Assessing the Risk of Kidney Tumor
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 …
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 …
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.
This paper presents a novel vision impairment assistive device to improve mobility and
independence. This device consists of Arduino Nano microcontroller technology that powers …
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 …
effective way to detection the arrival of an epileptic seizure is EEG analysis. Various …
Simulating of Magnetoencephalography Signals
Neural brain activities can be non-invasively characterized by analyzing both magneto
encephalogram (MEG) and electroencephalogram (EEG) signals. Since the content of …
encephalogram (MEG) and electroencephalogram (EEG) signals. Since the content of …