Database Open Access
Motion Artifact Contaminated ECG Database
Published: Dec. 18, 2015. Version: 1.0.0
New Database Added: MACECGDB (Dec. 18, 2015, midnight)
The Motion Artifact Contaminated ECG Database contains short duration ECG signals recorded from a single healthy 25-year-old male performing different physical activities to study the effect of motion artifacts on ECG signals and their sparsity.
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/