scholarly journals Improved heart rate variability signal analysis from the beat occurrence times according to the IPFM model

2000 ◽  
Vol 47 (8) ◽  
pp. 985-996 ◽  
Author(s):  
J. Mateo ◽  
P. Laguna
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Signal Analysis ◽  
Occurrence Times

Signal analysis of rhythmical discharge in cardiac preganglionic fibers and of heart rate variability

2003 ◽  
Author(s):  
G. Baselli ◽  
S. Cerutti ◽  
L.M. Finocchiaro ◽  
F. Lombardi ◽  
A. Malliani ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Signal Analysis

scholarly journals Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1077
Author(s):  
Radhagayathri Udhayakumar ◽  
Chandan Karmakar ◽  
Peng Li ◽  
Xinpei Wang ◽  
Marimuthu Palaniswami
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Signal Analysis ◽  
Measurement Method ◽  
Distance Matrix ◽  
Complexity Measure ◽  
Cardiac Abnormalities ◽  
Complexity Measurement ◽  
Signal Changes ◽  
Nonlinear Feature

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 (DistEn), in the context of HRV signal analysis. We thereby propose modified distribution entropy (mDistEn) to remove the physiological discrepancy involved in the computation of DistEn. The proposed method generates a distance matrix that is devoid of over-exerted multi-lag signal changes. Restricted element selection in the distance matrix makes “mDistEn” a computationally inexpensive and physiologically more relevant complexity measure in comparison to DistEn.

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