Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …

M Sharma, D Kumbhani, J Tiwari, TS Kumar… - Computers in Biology …, 2022 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …

Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review

S Asgari, H Moshirvaziri, F Scalzo… - Journal of clinical …, 2018 - Springer
Cardiac arrest (CA) is the leading cause of death and disability in the United States. Early
and accurate prediction of CA outcome can help clinicians and families to make a better …

Entropy index in quantitative EEG measurement for diagnosis accuracy

A Lay-Ekuakille, P Vergallo, G Griffo… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Electroencephalogram (EEG) remains the most immediate, simple, and rich source of
information for understanding phenomena related to brain electrical activities. It is certainly a …

Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression

J Chemali, SN Ching, PL Purdon, K Solt… - Journal of neural …, 2013 - iopscience.iop.org
Objective. Burst suppression is an electroencephalogram pattern in which bursts of electrical
activity alternate with an isoelectric state. This pattern is commonly seen in states of severely …

Arrhythmia ventricular fibrillation classification on ECG signal using ensemble feature selection and deep neural network

MR Rajeshwari, KS Kavitha - Cluster Computing, 2022 - Springer
Electrocardiogram (ECG) signal monitors the heart rate of the patients for long term periods
and helps to analyse heart conditions of patients. Arrhythmia cardiac conduction disorder is …

On entropy, entropy-like quantities, and applications

JM Amigó, K Keller, V Unakafova - Frontiers in Entropy Across the …, 2023 - World Scientific
This is a review on entropy in various fields of mathematics and science. Its scope is to
convey a unified vision of the classical as well as some newer entropy notions to a broad …

Real-time segmentation of burst suppression patterns in critical care EEG monitoring

MB Westover, MM Shafi, SN Ching, JJ Chemali… - Journal of neuroscience …, 2013 - Elsevier
Objective Develop a real-time algorithm to automatically discriminate suppressions from non-
suppressions (bursts) in electroencephalograms of critically ill adult patients. Methods A real …

[HTML][HTML] Time-Frequency Analysis of Somatosensory Evoked High-Frequency (600 Hz) Oscillations as an Early Indicator of Arousal Recovery after Hypoxic-Ischemic …

Z Ou, Y Guo, P Gharibani, A Slepyan, D Routkevitch… - Brain Sciences, 2022 - mdpi.com
Cardiac arrest (CA) remains the leading cause of coma, and early arousal recovery
indicators are needed to allocate critical care resources properly. High-frequency …

Analysis of A-phase transitions during the cyclic alternating pattern under normal sleep

MO Mendez, I Chouvarda, A Alba, AM Bianchi… - Medical & biological …, 2016 - Springer
An analysis of the EEG signal during the B-phase and A-phases transitions of the cyclic
alternating pattern (CAP) during sleep is presented. CAP is a sleep phenomenon composed …

K-means monarchy butterfly optimization for feature selection and Bi-LSTM for arrhythmia classification

R Mogili, G Narsimha - Soft Computing, 2023 - Springer
Early detection of arrhythmia assists clinicians in timely treatment that improves the recovery
rate and reduces the mortality rate. The existing research works employed various models to …