Heart rate variability feature selection in the presence of sleep apnea: An expert system for the characterization and detection of the disorder
We introduce a sleep apnea characterization and classification approach based on a Heart
Rate Variability (HRV) feature selection process, thus focusing on the characterization of the …
Rate Variability (HRV) feature selection process, thus focusing on the characterization of the …
Oxygen saturation and RR intervals feature selection for sleep apnea detection
A diagnostic system for sleep apnea based on oxygen saturation and RR intervals obtained
from the EKG (electrocardiogram) is proposed with the goal to detect and quantify minute …
from the EKG (electrocardiogram) is proposed with the goal to detect and quantify minute …
Combining heart rate variability and oximetry to improve apneic event screening in non-desaturating patients
In this paper, we thoroughly analyze the detection of sleep apnea events in the context of
Obstructive Sleep Apnea (OSA), which is considered a public health problem because of its …
Obstructive Sleep Apnea (OSA), which is considered a public health problem because of its …
DFA-based abacuses providing the Hurst exponent estimate for short-memory processes
E Grivel, B Berthelot, P Legrand, A Giremus - Digital Signal Processing, 2021 - Elsevier
The detrended fluctuation analysis (DFA) and its higher-order variant make it possible to
estimate the Hurst exponent and therefore to quantify the long-range dependence of a …
estimate the Hurst exponent and therefore to quantify the long-range dependence of a …
Combining the global trends of DFA or CDFA of different orders
E Grivel, G Colin, J Soetens, P Legrand - Digital Signal Processing, 2023 - Elsevier
When dealing with the detrended fluctuation analysis (DFA) and its variants such as the
higher-order DFA and the continuous DFA (CDFA), removing the mean, integrating the …
higher-order DFA and the continuous DFA (CDFA), removing the mean, integrating the …
Alternative ways to compare the detrended fluctuation analysis and its variants. Application to visual tunneling detection
B Berthelot, E Grivel, P Legrand, JM André… - Digital Signal …, 2021 - Elsevier
The detrended fluctuation analysis (DFA) and its variants such as the detrended moving
average (DMA) are widely used to estimate the Hurst exponent. These methods are very …
average (DMA) are widely used to estimate the Hurst exponent. These methods are very …
Different neural networks approaches for identification of obstructive sleep apnea
SQ Ali, A Hossen - 2018 IEEE Symposium on Computer …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders
affecting individuals of different age groups, genders and origins. It is characterized by short …
affecting individuals of different age groups, genders and origins. It is characterized by short …
Jeffrey's divergence between ARFIMA processes
M Saleh, E Grivel, SM Omar - Digital Signal Processing, 2018 - Elsevier
Abstract The symmetric Kullback–Leibler divergence known as Jeffrey's divergence (JD) has
found applications in signal and image processing, from radar clutter modeling to texture …
found applications in signal and image processing, from radar clutter modeling to texture …
Definition of the fluctuation function in the detrended fluctuation analysis and its variants
B Berthelot, E Grivel, P Legrand, A Giremus - The European Physical …, 2021 - Springer
The detrended fluctuation analysis (DFA) and its variants are popular methods to analyze
the self-similarity of a signal. Two steps characterize them: firstly, the trend of the centered …
the self-similarity of a signal. Two steps characterize them: firstly, the trend of the centered …
Filtering-based analysis comparing the DFA with the CDFA for wide sense stationary processes
B Berthelot, E Grivel, P Legrand… - 2019 27th European …, 2019 - ieeexplore.ieee.org
The detrended fluctuation analysis (DFA) is widely used to estimate the Hurst exponent.
Although it can be outperformed by wavelet based approaches, it remains popular because …
Although it can be outperformed by wavelet based approaches, it remains popular because …