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Fig 1.

Schematic illustration of the coarse grained procedure.

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Fig 2.

Flow chart of the MACI algorithm.

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Table 1.

Data sets (R-wave to R-wave interval) used in the study.

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Table 2.

ANOVA table of ACI (MACI at temporal scale 1) and MACI (mean) indices for distinguishing NSR, CHF and AF subject.

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Table 3.

Comparisons of NSR, CHF and AF subjects on the basis of ACI (MACI at temporal scale 1) and MACI (mean).

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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.

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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.

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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.

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Fig 6.

Variations in the MACI values at different time scales with signal length.

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Fig 7.

Switching of averaging brackets to the right.

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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.

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