AtrialFibrillation {mlmts}

AtrialFibrillation

Description

Multivariate time series (MTS) of two-channel ECG recordings of atrial fibrillation. The database has been created from data used in the Computers in Cardiology Challenge 2004.

Usage

data(AtrialFibrillation)

Format

A list with two elements, which are:

data

A list with 30 MTS.

classes

A numeric vector indicating the corresponding classes associated with the elements in data.

Details

Each element in data is a matrix formed by 640 rows (time points) indicating ECG measures and 2 columns (variables) indicating ECG leads. The first 15 elements correspond to the training set, whereas the last 15 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 3, indicating that there are 3 different classes in the database. Each class is associated with a different type of atrial fibrillation. For more information, see Bagnall et al. (2018).

References

Bagnall A, Dau HA, Lines J, Flynn M, Large J, Bostrom A, Southam P, Keogh E (2018). “The UEA multivariate time series classification archive, 2018.” arXiv preprint arXiv:1811.00075.

Ruiz AP, Flynn M, Large J, Middlehurst M, Bagnall A (2021). “The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.” Data Mining and Knowledge Discovery, 35(2), 401–449.

Bagnall A, Lines J, Vickers W, Keogh E (2022). “The UEA & UCR Time Series Classification Repository.” www.timeseriesclassification.com.