Cargando…
Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal
The complexity of a heart rate variability (HRV) signal is considered an important nonlinear feature to detect cardiac abnormalities. This work aims at explaining the physiological meaning of a recently developed complexity measurement method, namely, distribution entropy ([Formula: see text]), in t...
Autores principales: | Udhayakumar, Radhagayathri, Karmakar, Chandan, Li, Peng, Wang, Xinpei, Palaniswami, Marimuthu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597155/ https://www.ncbi.nlm.nih.gov/pubmed/33286846 http://dx.doi.org/10.3390/e22101077 |
Ejemplares similares
-
Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal
por: Karmakar, Chandan, et al.
Publicado: (2017) -
Entropy Profiling: A Reduced—Parametric Measure of Kolmogorov—Sinai Entropy from Short-Term HRV Signal
por: Karmakar, Chandan, et al.
Publicado: (2020) -
Classification of 5-S Epileptic EEG Recordings Using Distribution Entropy and Sample Entropy
por: Li, Peng, et al.
Publicado: (2016) -
Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity
por: Karmakar, Chandan K, et al.
Publicado: (2011) -
Complex Correlation Measure: a novel descriptor for Poincaré plot
por: Karmakar, Chandan K, et al.
Publicado: (2009)