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Tim Deagan edited this page Jan 12, 2015 · 2 revisions
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Arduino EKG shield to Python GUI EKG (QT, QTc, etc.) measurement

I thought I'd share the app I've been working up to determine QTc as captured by the Olimex EKG/EMG Shield. I have shamelessly assembled this from pieces and parts of pubic domain code. If you see something of yours, Thank You!!

Explanation of QTc: http://en.wikipedia.org/wiki/QT_interval

This is rough around the edges, but I thought it would be helpful to offer more open source code examples for working with this lovely little shield.

Note, a single shield offers three leads, optimum positioning for a three lead EKG measurement appears to be left and right arm (wrist) and right leg (ankle). http://www.emergencymedicalparamedic.com/3-lead-ecg-placement/

Since I'm using a single shield(channel) unit, the (Duemilanove) Arduino code is stripped down for speed. It simply returns the analog value as measured every .0039 sec (as opposed to the multi-byte packet defined in the demo code for ElectricGuru).

The Arduino code's data is caught by the following Python3 code. It does the following; Finds available com ports (should be cross platform, I lifted the detection from the miniterm code, but I have only tested on windows) Opens a dialog to allow you to pick a com port, which it tests. Opens a window which allows you to capture signal (each time you toggle through a capture session, it starts a new one rather than appending) Allows you to move marker lines in the plot window, via the mouse, to mark R1, R2, Q, T (see link above) Allows you to click the calc button and calculate; Heartrate, RR, QT and QTc (see link above) Left clicking on the plot window allows you to pan the plot Right clicking on the plot window allows you to export the data via image or CSV, zoom and more (thanks pyqtgraph!)

Obligatory Notice: This software is public domain and for demonstration purposes only. Do not rely on the calculated values for any aspect of your cardiac or regular health. Consult a doctor if you want to get a real EKG.

The code associated with this project is under the Creative Commons CC0 1.0 Public Domain Dedication: https://creativecommons.org/publicdomain/zero/1.0/

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