Medical big data: neurological diseases diagnosis through medical data analysis

S Siuly, Y Zhang - Data Science and Engineering, 2016 - Springer
Diagnosis of neurological diseases is a growing concern and one of the most difficult
challenges for modern medicine. According to the World Health Organisation's recent report …

Detection of apnea events from ECG segments using Fourier decomposition method

B Fatimah, P Singh, A Singhal, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
Absence of airflow in breathing during sleep for more than 10 s is known as sleep apnea. It
causes low oxygen levels in the blood which may lead to many cardiovascular problems …

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 …

The application of deep learning in electrocardiogram: Where we came from and where we should go?

JY Sun, H Shen, Q Qu, W Sun, XQ Kong - International journal of …, 2021 - Elsevier
Electrocardiogram (ECG) is a commonly-used, non-invasive examination recording cardiac
voltage versus time traces over a period. Deep learning technology, a robust artificial …

Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis

H Singh, RK Tripathy, RB Pachori - Digital Signal Processing, 2020 - Elsevier
The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …

Application of TQWT based filter-bank for sleep apnea screening using ECG signals

A Nishad, RB Pachori, UR Acharya - Journal of Ambient Intelligence and …, 2024 - Springer
The sleep apnea is a disease in which there is the absence of airflow during respiration for
at least 10 s. It may occur several times during the night sleep. This disease can lead to …

Sliding trend fuzzy approximate entropy as a novel descriptor of heart rate variability in obstructive sleep apnea

Y Li, W Pan, K Li, Q Jiang, G Liu - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder that is often associated with
reduced heart rate variability (HRV), thus reflecting modulation of the autonomic system …

Regularity of heart rate fluctuations analysis in obstructive sleep apnea patients using information-based similarity

S Wu, D Liang, Q Yang, G Liu - Biomedical Signal Processing and Control, 2021 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder that is associated with
autonomic dysfunction. The low-frequency power to high-frequency power ratio (LF/HF) …

Computer-aided obstructive sleep apnea identification using statistical features in the EMD domain and extreme learning machine

AR Hassan, MA Haque - Biomedical Physics & Engineering …, 2016 - iopscience.iop.org
Automated sleep apnea identification is important in order to eradicate the clinicians duty of
analyzing a large volume of data and to speed-up diagnosis. Again, the feasibility of a …

Hybridization of soft-computing algorithms with neural network for prediction obstructive sleep apnea using biomedical sensor measurements

MH Chyad, SK Gharghan, HQ Hamood… - Neural Computing and …, 2022 - Springer
Sleep apnea (SA) is a common respiratory disorder, especially among obese people. It is
caused by either the relaxation of the upper respiratory tract muscles or the failure of the …