Motion Artifact Contaminated ECG Database

@article{pollard_physionet_2026, title = {{PhysioNet} as a global platform for biomedical research}, volume = {1}, issn = {3005-0693}, url = {https://doi.org/10.1038/s44360-026-00096-z}, doi = {10.1038/s44360-026-00096-z}, abstract = {Twenty-five years after its first public repository was established, the PhysioNet resource for biomedical and clinical data has enabled tens of thousands of research papers. Further efforts are ongoing to advance secure data sharing, community engagement and scalable research infrastructure.}, number = {8}, journal = {Nature Health}, author = {Pollard, Tom and Moody, Benjamin E. and Lehman, Li-wei H. and Gow, Brian J. and Fernandes, Chrystinne and Xie, Chen and Johnson, Alistair and Mark, Roger G. and Heldt, Thomas}, month = aug, year = {2026}, pages = {792--795},}

Abstract

Short duration ECG signals are recorded from a healthy 25-year-old male performing different physical activities to study the effect of motion artifacts on ECG signals and their sparsity.

Data Description

For each measurement, 4 pairs of electrodes built into a single patch are placed on the subject. The electrodes are arranged at 45-degree offsets as shown in the patch_electrodes.jpg image.

The patch itself is also placed at multiple orientations relative to the body as shown in the patch_location.png image.

Each recording contains four signals (ECG 1 to ECG 4) corresponding to the four pairs of electrodes.

• Sampling rate: 500 Hz
• Resolution: 16 bits
• An analogue gain of 100 is applied to the raw ECG recordings before ADC.
• The 2-digit number before the last letter shows the offset of the whole electrode patch in degrees.
• The last letter of each record name corresponds to the type of physical activity as below:
  1. s = standing
  2. w = walking
  3. j = single jump