The values of Block Entropy for patients with Congestive Heart Failure

Description

The dataset consists of calculated values of entropy of 75 000 intervals between consecutive heartbeats (RR intervals) for 29 patients with congestive heart failure (CHF). The original data were taken from PhysioNet Congestive Heart Failure RR Interval Database (cf. Goldberger A., Amaral L., Glass L., Hausdorff J., Ivanov P.C., Mark R., Mietus J.E., Moody G.B., Peng C.K., Stanley H.E., PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online], 2000, 101 (23), s. e215 – e220).

Each signal was cleared from potential artifacts by the following procedure: each RR interval that differs by more than 30% from the mean of the 6 previous samples was changed by that mean.

Block Entropy was computed for the length of the sliding windows D = 2, 3, …, 8 and regions Q = 2, 3. In addition, the means and standard deviations in the group for each D were computed.

The dataset constitute complementary material to the preprint by K. Tessmer „Application of entropy-based methods to distinguish healthy individuals with normal sinus rhythm from patients with congestive heart failure” 2021.

Dataset file

Block Entropy, CHF.zip

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Year of publication:

2021

Verification date:

2021-05-12

Dataset language:

English

Fields of science:

biomedical engineering (Engineering and Technology)
mathematics (Natural sciences)

DOI:

10.34808/1qm8-1r82

Verified by:

Gdańsk University of Technology

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