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:
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals (2003). Circulation. 101(23):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
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Total uncompressed size: 1.0 MB.Download Zip (1.0 MB)