Computer-aided obstructive sleep apnea detection using normal inverse Gaussian parameters and adaptive boosting

AR Hassan - Biomedical Signal Processing and Control, 2016 - Elsevier
Automatic sleep apnea detection using single lead ECG is a precondition for the
implementation of a sleep apnea monitoring device. Computerized sleep apnea screening …

Single channel ECG for obstructive sleep apnea severity detection using a deep learning approach

N Banluesombatkul, T Rakthanmanon… - TENCON 2018-2018 …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing.
The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD) …

Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection

A Pinho, N Pombo, BMC Silva, K Bousson… - Applied Soft …, 2019 - Elsevier
A wise feature selection from minute-to-minute Electrocardiogram (ECG) signal is a
challenging task for many reasons, but mostly because of the promise of the accurate …

Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals

RK Tripathy - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Sleep apnea is the most common sleep disorder that causes respiratory, cardiac and brain
diseases. The heart rate variability (HRV) and the electrocardiogram-derived respiration …

Classification of sleep apnea using cross wavelet transform

BL Koley, D Dey - 2013 IEEE 1st International Conference on …, 2013 - ieeexplore.ieee.org
In this paper, a novel approach for classifying sleep apneas using cross wavelet transform
has been proposed. This is the first time that cross wavelet transform has ever been applied …

Automated accurate insomnia detection system using wavelet scattering method using ECG signals

N Sharma, M Sharma, H Telangore, UR Acharya - Applied Intelligence, 2024 - Springer
Polysomnograms (PSGs), commonly conducted in sleep laboratories, serve as the gold
standard for sleep analysis. Among the vital PSG components, the electroencephalogram …

[PDF][PDF] WAKE detection during sleep using random forest for sleep apnea syndrome patient

I Nakari, Y Tajima, R Takano, A Toboru… - AAAI Spring …, 2019 - ceur-ws.org
This paper proposed the new WAKE detection method for sleep apnea syndrome: SAS
patients. In many non-contact method for sleep stage estimation, it is difficult to detect WAKE …

An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram

L Chen, X Zhang, H Wang - Journal of medical systems, 2015 - Springer
Obstructive sleep apnea (OSA) is a common sleep disorder that often remains undiagnosed,
leading to an increased risk of developing cardiovascular diseases. Polysomnogram (PSG) …

[PDF][PDF] Identification of obstructive sleep apnea from normal subjects: Fft approaches wavelets

A Hossen - International Journal of Biometrics and Bioinformatics …, 2010 - Citeseer
An FFT-based algorithm for Obstructive Sleep Apnea (OSA) patient identification using RR
interval (RRI) data is investigated. The identification is done on the whole record as OSA …

k-NN-based classification of sleep apnea types using ECG

OHAN TİMUŞ, ED BOLAT - Turkish Journal of Electrical …, 2017 - journals.tubitak.gov.tr
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that yields
cardiovascular diseases, excessive daytime sleepiness, and poor quality of life if not treated …