Computerized obstructive sleep apnea diagnosis from single-lead ECG signals using dual-tree complex wavelet transform
An algorithm for apnea identification using one-lead electrocardiogram is presented in this
article. Segments of ECG signals are fed into dual-tree complex wavelet transform (DT-CWT) …
article. Segments of ECG signals are fed into dual-tree complex wavelet transform (DT-CWT) …
Computer-aided sleep apnea diagnosis from single-lead electrocardiogram using dual tree complex wavelet transform and spectral features
AR Hassan, MA Haque - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In this work, Dual Tree Complex Wavelet Transform (DT-CWT) is introduced to devise an
effective feature extraction scheme for physiological signal analysis. Unlike discrete wavelet …
effective feature extraction scheme for physiological signal analysis. Unlike discrete wavelet …
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
AR Hassan, MA Haque - Neurocomputing, 2017 - Elsevier
Computerized obstructive sleep apnea detection is necessary to speed-up sleep apnea
diagnosis and research and for assisting medical professionals. Moreover, the development …
diagnosis and research and for assisting medical professionals. Moreover, the development …
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
Motivation and objective Obstructive sleep apnea (OSA) is a sleep disorder identified in
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating
AR Hassan, MA Haque - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
Automatic sleep apnea screening is important to alleviate the onus of the physicians of
analyzing a large volume of data visually. Again, the push towards low-power, portable and …
analyzing a large volume of data visually. Again, the push towards low-power, portable and …
Automatic detection of obstructive sleep apnea using wavelet transform and entropy-based features from single-lead ECG signal
Obstructive sleep apnea (OSA) is a prevalent sleep disorder and highly affects the quality of
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …
Sleep apnea detection using electrocardiogram signal input to FAWT and optimize ensemble classifier
H Pant, HK Dhanda, S Taran - Measurement, 2022 - Elsevier
Sleep apnea refers to a sleep disorder consist of inconsistent breathing during sleep for
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …
A comparative study of various classifiers for automated sleep apnea screening based on single-lead electrocardiogram
AR Hassan - 2015 International Conference on Electrical & …, 2015 - ieeexplore.ieee.org
Computerized sleep apnea detection is necessary to alleviate the onus of physicians of
analyzing a high volume of data. The overall performance of an automated apnea detection …
analyzing a high volume of data. The overall performance of an automated apnea detection …
Analysis of features extracted from EEG epochs by discrete wavelet decomposition and Hilbert transform for sleep apnea detection
MA Prucnal, AG Polak - … conference of the IEEE engineering in …, 2018 - ieeexplore.ieee.org
Sleep apnea (SA) is one of the most common disorders manifesting during sleep and the
electroencephalo-gram (EEG) belongs to these biomedical signals that change during …
electroencephalo-gram (EEG) belongs to these biomedical signals that change during …
Sleep apnea detection based on ECG signals using discrete wavelet transform and artificial neural network
Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …