SPHERE wrist ECG data

Published: 24 Sep 2018 | Version 1 | DOI: 10.17632/tzfmydyzch.1

Description of this data

Description of Data:

  • ECG data as recorded from the wrists for the IEEE Access paper ‘An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure’.
  • Data is recorded for 5 participants, ages 23 – 36.
  • Sampling rate is 128 Hz. Files are saved in the Matlab .mat format.

Experiment data files

  • subject1
  • subject2
  • subject3
  • subject4
  • subject5

Steps to reproduce

Steps to reproduce:
Using the custom ECG amplifier and electrodes described in IEEE Access paper, data is sampled from 5 participants sitting still at a desk. Data has been processed in Matlab, using the first 4 signal processing steps described in the paper in section V, subsection B. These are:

  • Low pass (Fl = 30 Hz), high pass (Fh = 0.1 Hz), and notch filtered (Fd = 47.5 Hz, Fu = 52.5 Hz), using first order zero phase delay (filtfilt in MATLAB) Butterworth filters).
  • Remove ECG baseline wonder using Discrete Wave Transform.
  • Smooth ECG using extended Kalman filter.

Latest version

  • Version 1


    Published: 2018-09-24

    DOI: 10.17632/tzfmydyzch.1

    Cite this dataset

    Casson, Alex; Beach, Christopher (2018), “SPHERE wrist ECG data”, Mendeley Data, v1 http://dx.doi.org/10.17632/tzfmydyzch.1


Views: 115
Downloads: 23


The University of Manchester, University of Bristol


Health Sciences, Biomedical Engineering


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.