How to build an ECG device which is highly accurate to investigate intense activities with strong body movements?

Last Updated on August 17, 2023 by pg@petergamma.org

1. Take an OpenBCI Cyton module or a device with similar specifications.

• it offers 8 channels with 24 bit A/D sampling rate

1. Make out of it a 3 lead ECG device

• for the gold standard of HR measurement with need a 3 lead ECG device. How this can be done can be found here:

https://docs.openbci.com/GettingStarted/Biosensing-Setups/ECGSetup/

• The terms electrodes, leads and channels are sometimes messed up. To be sure, study the literature about ECG devices.

1. use HeartPy as our ECG tooblox

https://python-heart-rate-analysis-toolkit.readthedocs.io/en/latest/

• it can handle with very noisy ECG signals

1. Read the following Sensors paper about Motion Artefact Reduction Methods:

https://www.mdpi.com/1424-8220/20/5/1468

• And integrate as many features as possible which are reviewed in this paper:

1. Use a treadmill and compare your ECG data measured on a treadmill with the data from a Polar H10 chest stap

• Take the protocol of the following paper written by cardiologists from the Cleveland Clinic in Ohio:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732081/

• and extend the protocol to the maximal speed you can run on a treadmill.

1. If your device has a higher accuracy on the treadmill than the Polar H10 write a paper about it

• Engineering students, sports students, medical doctors and PhD students welcome to realize this interesting and new project.