Heartbeat: Heartbeat

In mlmts: Machine Learning Algorithms for Multivariate Time Series

Heartbeat

Description

Multivariate time series (MTS) indicating heart sound from healthy patients and pathological patients (with a confirmed cardiac diagnosis).

Usage

data(Heartbeat)

Format

A list with two elements, which are:

data

A list with 409 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 405 rows (time points) indicating readings in a spectrogram and 61 columns (variables) indicating frequency band from the spectrogram. The first 204 elements correspond to the training set, whereas the last 205 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 2, indicating that there are 2 different classes in the database. Each class is associated with a different alphabetical character. For more information, see \insertCitebagnall2018uea;textualmlmts. To access this dataset, run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")" and use the syntax "ueadata1::Heartbeat".

References

\insertRef

bagnall2018ueamlmts

\insertRef

ruiz2021greatmlmts

\insertRef

bagnallwebmlmts

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.