MITDB1

The MIT-BIH Arrhythmia Database [Goldberger et al. 2000] contains 48 half-hour recordings of two-channel ambulatory electrocardiograms (ECGs) sampled at 360Hz. Cardiologists annotated the heartbeats according to 19 categories. We divide all recordings into a time series of 1 minute and keep only the first channel. We selected time series of healthy subjects that contains only normal heartbeats and randomly selected 100 time series.

Example of Time series (snippet of 5000 points)

MITDB1 Example

Meta-data summary

  • number of motifs: 1

  • mean number of motifs per time series: 1

  • min number of motifs per time series: 1

  • max number of motifs per time series: 1

Reference

[Goldberger et al. 2000] Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley. 2000. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. circulation 101, 23(2000), e215–e220.