ptt-ppg

Pule-Transit-Time photoplethysmogram (PPG) dataset [Mehrgardt et al. 2022] consists of time series recorded with multiple sensors (sampled at 500Hz) from healthy subjects performing physical activities. The annotated motifs are heartbeats. We randomly select 100 40-second-long signals from the first channel of the PPG during the “run” activity.

Example of Time series (snippet)

PTT-PPG 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

[Mehrgardt et al. 2022] Philip Mehrgardt, Matloob Khushi, Simon Poon, and Anusha Withana. 2022. Pulse Transit Time PPG Dataset. PhysioNet10 (2022), e215–e220