AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review

S Jahan, F Nowsheen, MM Antik, MS Rahman… - IEEE …, 2023 - ieeexplore.ieee.org
Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …

Application of feature extraction for breast cancer using one order statistic, GLCM, GLRLM, and GLDM

DCR Novitasari, A Lubab, A Sawiji… - Advances in Science …, 2019 - repository.uinsa.ac.id
The increasing number of breast cancer in recent years has attracted numerous researchers'
attention. Several techniques of Computer Aided Diagnosis System have been proposed as …

An evaluation of transfer learning models in EEG-based authentication

HY Yap, YH Choo, ZI Mohd Yusoh, WH Khoh - Brain Informatics, 2023 - Springer
Electroencephalogram (EEG)-based authentication has received increasing attention from
researchers as they believe it could serve as an alternative to more conventional personal …

A CNN Approach for Emotion Recognition via EEG

A Mahmoud, K Amin, MM Al Rahhal, WS Elkilani… - Symmetry, 2023 - mdpi.com
Emotion recognition via electroencephalography (EEG) has been gaining increasing
attention in applications such as human–computer interaction, mental health assessment …

The effects of electroencephalography functional connectivity during emotional recognition among patients with major depressive disorder and healthy controls

EJ Yuan, CH Chang, HH Chen, SS Huang - Journal of psychiatric research, 2024 - Elsevier
Background The brain of major depressive disorder (MDD) is associated with altered
functional connectivity (FC) compared to that of healthy individuals when processing positive …

Enhancing E-Learning: EEG Signal Classification to Evaluate Students' Understanding of Online Lectures

MK Bhuiyan, MR Bayesh, S Das - 2024 6th International …, 2024 - ieeexplore.ieee.org
Online learning is increasingly popular, and the COVID-19 pandemic has only accelerated
its adoption. Neverthe-less, a significant challenge in online education is accurately …

Classification of Brain Signal Activities before and after Consuming Soy Peptide Using Fuzzy Logic

A Turnip, GFY Sihombing… - … & Measurement, and …, 2021 - ieeexplore.ieee.org
Soybeans are rich in vegetable protein in the form of bioactive peptides. Described, an
increase in the frequency of alpha brain wave centers an average of 2% after consuming …

[PDF][PDF] Sistem Penunjang Keputusan Untuk Mendeteksi Tingkat Keparahan Cedera Panggul Menggunakan Metode Adaptive Neuro Fuzzy Inference System

AF Khariri, MR Nurfadila, DCR Novitasari - JURNAL INFORMATIKA, 2022 - academia.edu
Cedera panggul dan acetabular merupakan cedera yang jarang terjadi, terhitung sekitar 3%
hingga 8% dari semua cedera. Meskipun angka kematian cedera panggul hanya terbatas …

Analysis of Vibration Patterns on Slopes Due to Vehicles On Landslides Using The Microtremor Method, Tomilito District, North Gorontalo

R Hasan, M Demulawa, A Arbie… - E3S Web of …, 2023 - e3s-conferences.org
This study aims to determine the graphic patterns of vibration on slopes caused by vehicles,
and graphic designs can be observed based on the time and frequency domains. The …

Parks-McClellan-Bandwidth Filtering Efficacy for Augmented Ailment Dissection in Bradykinesia

LM Gladence, G Bharanidharan… - 2023 Second …, 2023 - ieeexplore.ieee.org
Advancements in electroencephalogram (EEG) data processing have enabled the
consistent monitoring of the human brain, playing a crucial role in the early detection and …