Database Open Access
Motion Artifact Contaminated ECG Database
Published: Dec. 18, 2015. Version: 1.0.0
Vahid Behravan, Neil E. Glover, Rutger Farry, Mohammed Shoaib, Patrick Y. Chiang. Rate-Adaptive Compressed-Sensing and Sparsity Variance of Biomedical Signals. Body Sensor Networks (BSN) 2015 IEEE International Conference in June 2015.
Please include the standard citation for PhysioNet:
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Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
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.
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:
- s = standing
- w = walking
- j = single jump
Anyone can access the files, as long as they conform to the terms of the specified license.
License (for files):
Open Data Commons Attribution License v1.0
Total uncompressed size: 1.0 MB.
Access the files
- Download the ZIP file (1.0 MB)
- Access the files using the Google Cloud Storage Browser here. Login with a Google account is required.
- Access the data using the Google Cloud command line tools (please refer to the gsutil documentation for guidance):
gsutil -m -u YOUR_PROJECT_ID cp -r gs://macecgdb-1.0.0.physionet.org DESTINATION
- Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/macecgdb/1.0.0/