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Sleep is an essential part of human existence, as we are in this state for approximately a third of our lives. Sleep disorders are common conditions that can affect many aspects of life. Sleep disorders are diagnosed in special laboratories with a ...

Obstructive sleep apnea-hypopnea syndrome(OSAHS) is a risky disorder that has negative effects on individuals’ sleep or health. Snoring signals are widely accepted as a reliable and practical alternative in detecting sleep apnea to diagnose OSAHS. Most ...

In this paper, a wearable and simple system for breathing sounds detection from the left and right External Auditory Canal (EAC) was proposed. This system consists of two main parts: 1) Hardware design for detecting input breathing sound signal and 2) ...

Respiratory related events (RE) during nocturnal sleep disturb the natural physiological pattern of sleep. This events may include all types of apnea and hypopnea, respiratory-event-related arousals and snoring. The particular importance of breath ...

Obstructive sleep apnea (OSA) is a serious disorder in which people repeatedly stop breathing during sleep. This paper presents the Technology Integrated Apnea Respiration Analyser (TIARA), an innovative wearable device as an alternative to ...

The work presents a set of significant indicators and a method of detection of sleep apnea episodes based on the cardiovascular and respiratory systems’ state analysis by ECG signal, pulse wave signals and respiratory movements signals. The ...

Sleep position is directly related to sleep quality especially in patients with sleep disorders such as sleep apnea or snoring. We propose SleeP-Manager, a wearable embedded system, that is designed to aid Sleep Positional Therapy (SPT). SleeP-Manager ...

Sleep Apnea is a chronic and widespread problem that is characterized by periods of pauses in breathing during sleep. It can lead to several life threatening conditions if left undiagnosed. Conventional methods of diagnosing sleep apnea involve ...

Obstructive Sleep Apnea (OSA) is a disease that affects approximately 4% of men and 2% of women worldwide but is still underestimated and underdiagnosed. The standard method for assessing this index, and therefore defining the OSA diagnosis, is ...

We present a contactless solution for detecting sleep apnea events on smartphones. To achieve this, we introduce a novel system that monitors the minute chest and abdomen movements caused by breathing on smartphones. Our system works with the phone away ...

This paper presents a method for signals and features selection when classifying sleep apnea. This study uses a novel hierarchical parallel particle swarm optimization structure as proposed by the authors previously. In this structure, the swarms are ...

This paper presents a method for subject independent classification of sleep apnea by a parallel PSO-SVM algorithm. In the proposed structure, swarms are separated into masters and slaves and accessing to the global information is restricted according ...

The time series of instantaneous heart rates (IHR) derived from overnight sleep electrocardiography (ECG) are analyzed by using wavelet decompositions. It is aimed to find a reliable and practical way for detecting the minute by minute occurrence of ...

A new non-invasive method for diagnosis of sleep apnea, this diagnosis method is based on respiratory motion visualization with a Time of Flight (ToF) camera. The 3D movie taken with this camera visualizes the patient movements while he/she is sleeping, ...

The present contribution aims at identifying the nonlinear dynamic underlying sleep disorder for patients with high circulatory risk. The proposed approach is based on scalar adaptive chaos control, which allows not only the selection of unstable ...

More than 50 million people in the U.S. suffer from chronic sleep disorders, including snoring, bruxism, restless legs syndrome, and obstructive sleep apnea. Clinical diagnosis of severe cases often requires expensive, hospital-based polysomnography ...

Polysomnography refers to the continuous monitoring of multiple neurophysilogical and cardiorespiratory variables, usually over the course of a night, to study normal and disturbed sleep. Electroencephalographic, electrooculographic and electromyographic ...