Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms

D Nandini, J Yadav, A Rani, V Singh - Biomedical Signal Processing and …, 2023 - Elsevier
This work aims to develop a subject-independent Emotion Detection System (EDS) based
on EEG signals and the 3D Valence-Arousal-Dominance (VAD) model. The DEAP database …

Automated sleep scoring system using multi-channel data and machine learning

RS Arslan, H Ulutaş, AS Köksal, M Bakır… - Computers in Biology and …, 2022 - Elsevier
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …

The Chinese Clinical Sleep Database: An Innovative Database System Includes Large-Scale Clinical Data of Chinese Population

R Fang, Y Cheng, F Li, Y Xu, Y Li, X Liu… - Nature and Science …, 2024 - Taylor & Francis
Purpose In this study, we established the Chinese Clinical Sleep Database (CCSD), aiming
to provide a safe, scalable, and user-friendly database that includes high-quality clinical …

Intelligent wearable healthcare monitoring framework: trends in sensor-deep learning approaches

A Choudhury, KK Sarma - … and Computer Vision for Industry 4.0, 2023 - igi-global.com
Intelligent wearable healthcare monitoring has emerged as a promising field in healthcare,
allowing for real-time and continuous monitoring of a patient's health status. In recent years …

Literature Review of Drowsiness Identification and Alert System for Real Time Network

S Thirumurugan, ML Pradeepan… - 2023 International …, 2023 - ieeexplore.ieee.org
Road mishaps are more likely to be caused by tired drivers. Driving for extended periods of
time, driving while sleep deprived, and driving while under the influence of drugs, alcohol, or …

TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm

C Rajeshkumar, KR Soundar - Technology and Health Care - content.iospress.com
BACKGROUND: Due to the increasing prevalence of respiratory diseases and the
importance of early diagnosis. The need for non-invasive and touchless medical diagnostic …