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:

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:

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

 Name  test01_00s.dat  test02_45s.dat  test03_90s.dat  test04_00s.dat  test05_45s.dat  test06_90s.dat  test07_00s.dat  test08_45s.dat  test09_90s.dat  test10_00w.dat  test11_45w.dat  test12_90w.dat  test13_00w.dat  test14_45w.dat  test15_90w.dat  test16_00w.dat  test17_45w.dat  test18_90w.dat  test19_00j.dat  test20_45j.dat  test21_90j.dat  test22_00j.dat  test23_45j.dat  test24_90j.dat  test25_00j.dat  test26_45j.dat  test27_90j.dat  electrode_patch.pdf  test01_00s.hea  test02_45s.hea  test03_90s.hea  test04_00s.hea  test05_45s.hea  test06_90s.hea  test07_00s.hea  test08_45s.hea  test09_90s.hea  test10_00w.hea  test11_45w.hea  test12_90w.hea  test13_00w.hea  test14_45w.hea  test15_90w.hea  test16_00w.hea  test17_45w.hea  test18_90w.hea  test19_00j.hea  test20_45j.hea  test21_90j.hea  test22_00j.hea  test23_45j.hea  test24_90j.hea  test25_00j.hea  test26_45j.hea  test27_90j.hea  RECORDS  patch_elec  patch_location.png  MD5SUMS  SHA1SUMS  SHA256SUMS  DOI

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Updated Friday, 28 October 2016 at 16:58 EDT

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