[Retracted] A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
Obstructive sleep apnea (OSA) is a sleep disorder characterized by periodic episodes of
partial or complete upper airway obstruction caused by narrowing or collapse of the …
partial or complete upper airway obstruction caused by narrowing or collapse of the …
Data allocation mechanism for Internet-of-Things systems with blockchain
The use of Internet of Things (IoT) has introduced genuine concerns regarding data security
and its privacy when data are in collection, exchange, and use. Meanwhile, blockchain …
and its privacy when data are in collection, exchange, and use. Meanwhile, blockchain …
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
CSSS Viswabhargav, RK Tripathy… - Computers in biology and …, 2019 - Elsevier
Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of
sleep disorder during which the breathing of the person diminishes causing the alternation …
sleep disorder during which the breathing of the person diminishes causing the alternation …
Drowsiness, fatigue and poor sleep's causes and detection: a comprehensive study
Drowsiness/sleepiness is a serious issue that needs to be addressed for improvement in the
safety of road driving. Past statistical data on road accidents has shown enormous increases …
safety of road driving. Past statistical data on road accidents has shown enormous increases …
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis
Sleep apnea is a sleep related pathology in which breathing or respiratory activity of an
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
An improved QRS complex detection method having low computational load
In this study, an improved QRS complex detection method having low complexity is
proposed. This method includes two stages as preprocessing and decision making. The …
proposed. This method includes two stages as preprocessing and decision making. The …
A novel wearable real-time sleep apnea detection system based on the acceleration sensor
Background and objective The apnea syndrome is characterized by an abnormal breath
pause or reduction in the airflow during sleep. It is reported in the literature that, it affects 2 …
pause or reduction in the airflow during sleep. It is reported in the literature that, it affects 2 …
A high-performance arrhythmic heartbeat classification using ensemble learning method and PSD based feature extraction approach
Health problems, directly or indirectly caused by cardiac arrhythmias, may threaten life. The
analysis of electrocardiogram (ECG) signals is an important diagnostic tool for assessing …
analysis of electrocardiogram (ECG) signals is an important diagnostic tool for assessing …
[PDF][PDF] A Highly Accurate Dysphonia Detection System Using Linear Discriminant Analysis.
The recognition of pathological voice is considered a difficult task for speech analysis.
Moreover, otolaryngologists needed to rely on oral communication with patients to discover …
Moreover, otolaryngologists needed to rely on oral communication with patients to discover …
Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity
Abstract Background/Objective: Automatic apnea/hypopnea events classification, crucial for
clinical applications, often faces challenges, particularly in hypopnea detection. This study …
clinical applications, often faces challenges, particularly in hypopnea detection. This study …