Fig 1.
Schematic illustration of the coarse grained procedure.
Fig 2.
Flow chart of the MACI algorithm.
Table 1.
Data sets (R-wave to R-wave interval) used in the study.
Table 2.
ANOVA table of ACI (MACI at temporal scale 1) and MACI (mean) indices for distinguishing NSR, CHF and AF subject.
Table 3.
Comparisons of NSR, CHF and AF subjects on the basis of ACI (MACI at temporal scale 1) and MACI (mean).
Fig 3.
Comparison of ACI and MACI (at optimal scale) for classification of (a) NSR Vs CHF, (b) NSR Vs AF and (c) CHF Vs AF subjects.
Fig 4.
Performance evaluation of ACI and MACI (at optimal scale value) for classification of (a) NSR Vs CHF, (b) NSR Vs AF and (c) CHF Vs AF subjects.
Fig 5.
AUC for assessing degree of separation using ACI and MACI at optimal scale (a) NSR Vs CHF (b) NSR Vs AF and (c) CHF Vs AF subjects.
Fig 6.
Variations in the MACI values at different time scales with signal length.
Fig 7.
Switching of averaging brackets to the right.
Table 4.
Corresponding p-values comparison of MACI, IMPE and MNCSE at temporal scales 1 to 10 for quantifying the dynamics of healthy (NSR) and pathological (CHF) subjects.