Motion Artifact Contaminated ECG Database

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The data set and its collection methods are described in

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.

A support PDF showing the lead placement is also provided.

When referencing this material, please include the citation above, and also 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. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215.full]; 2000 (June 13).

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 below:

[Positions of electrodes in the patch]

The patch itself is also placed at multiple orientations relative to the body:

[Position of electrode patch on the body]

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

Recording information: