Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
Objective Develop a real-time algorithm to automatically discriminate suppressions from non-
suppressions (bursts) in electroencephalograms of critically ill adult patients. Methods A real …
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 …
Cardiac arrest (CA) remains the leading cause of coma, and early arousal recovery
indicators are needed to allocate critical care resources properly. High-frequency …
indicators are needed to allocate critical care resources properly. High-frequency …
Analysis of A-phase transitions during the cyclic alternating pattern under normal sleep
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 …
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 …
rate and reduces the mortality rate. The existing research works employed various models to …