In this study, an efficient and robust method classifying the minute based occurrence of
sleep apnea is aimed. Three respiration signals obtained from abdominal, chest and nasal …

This paper presents a suitable and efficient implementation for detecting minute based
analysis of sleep apnea by Electrocardiogram (ECG) signal processing. Using the …

This study compared three different methods of estimating ECG-derived respiration (EDR)
from full overnight single lead ECG signals. The first EDR method was based on calculating …

Sound sleep is an important parameter of health as it is directly related to the health of the
heart as well of the brain and psychological health of the human. Sleep disorder or sleep …

Nowadays, sleep disorders are contemplated as the major issue in the human lives. The
current work aims at extraction of time-frequency information from recorded dataset and …

The paper discusses the issues involved in designing a ECG signal based Obstructive
Sleep Apnea (OSA) Detection system having low power features and improved battery life …

A measure of the respiratory effort during a sleep study is an important contributor to the
diagnosis of sleep apnoea. A common way of measuring respiratory effort is with bands with …

The proposed work aims at developing a solution for the detection of sleep apnea disorder
using ECG signal analysis, which is an established diagnostic modality. Under this work, the …

Tıkayıcı tip uyku apnesi (TUA) birçok sonuçları olan uyku bozukluğudur. Yıllardan beri çeşitli
sinyaller TUA hastalığının teşhisi için kullanmıştır. Yapılan önceki çalışmalarda, geceyi uyku …

This study focuses on the task of Speech Emotion Recognition (SER) that utilizes only the
acoustic modality to perform emotional analysis. The previous studies have been conducted …