Sample entropy analysis of neonatal heart rate variability.
By Douglas E. Lake, Joshua S. Richman, M. Griffin, J. Moorman. American Journal of Physiology. Regulatory Integrative and Comparative Physiology, 2002
1,273 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Epidemiology
View Paper: https://www.semanticscholar.org/paper/0d917b799f561cd7b35de575c686e54b71c12a33
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In Biomedical Engineering
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In Cardiology and Cardiovascular Medicine
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Citations in the corpus
- Methods derived from nonlinear dynamics for analysing heart rate variability (2009, background): “Lake et al. (2002) described a reduction in SampEn of neonatal HR prior to the clinical diagnosis of sepsis and sepsis-like illness.”
- Multi-scale entropy analysis of Mississippi River flow (2007, background): “The template length m (i.e., 2, 3) and tolerance criterion r (0.1‐0.2) are empirically chosen dependent on record length ( Lake et al. 2002 ).”
- Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “Various complexity measures have been used to quantify EEG complexity; some of them stem from information theory [71, 72], including Tsallis entropy [72], approximate entropy [73], sample entropy [74], multiscale entropy [75, 76], automutual information (see, e.”
- Multiscale entropy analysis of complex physiologic time series. (2002, result): “They have proved to be useful in discriminating between healthy and disease states [7, 8], although some results may generate misleading conclusions.”
- Emotion recognition using wireless signals (2016, background): “These features can be divided into time-domain analysis, frequency-domain analysis, timefrequency analysis, Poincaré plot [32], Sample Entropy [36], and Detrend Fluctuation Analysis [46].”
- Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals (2015, background): “It expresses the logarithmic likelihood that the signal of length N repeats itself within the tolerance of r for d points and also repeats itself for the next d + 1 points [49].”