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A package for gathering data from the Olimex EKG/EMG Shield.

Project description

Documentation Status Downloads Latest Version Supported Python versions Supported Python implementations Development Status License

A Python package for gathering and viewing data from the Olimex EKG/EMG Shield.

NOTICE

THIS SOFTWARE DOES NOT PROVIDE MEDICAL ADVICE

The information provided by this software is not medical advice. By using this software, You acknowledge that this software does not and should not be construed to provide health-related or medical advice, or clinical decision support, or to provide, support or replace any diagnosis, recommendation, advice, treatment or decision by an appropriately trained and licensed physician, or to create a patient-physician relationship. You hereby agree that this software will not be relied on or used, in whole or in part, for any of the preceding purposes by or on Your behalf with respect to any individual(s). If You believe You suffer from any medical condition, whether or not this software’s results support this belief, You should immediately seek professional medical advice or consult with a qualified medical professional.

Installation

pip install olimex-ekg-emg

Usage

$ exg -p /path/to/port

Replace /path/to/port with the path to the port to which your Arduino is connected.

A matplotlib figure should appear and a real-time wave form should begin go to be drawn. Calibration of the waveform within the figure make take up to 10 seconds.

Or, to play around with the included mock data …

$ exg -f <mock data filename>

Replace <mock data filename> with one of the mock data file names. To get a list of the mock data file names, use the --list-mock-data command line option. For example:

$ exg --list-mock-data
afib.bin
afltr.bin
asys.bin
j-brady.bin
nsr.bin

Example Output

http://logston.github.io/talks/2015-08-15-Hearduino/build/images/nsr_snippet.gif

Further Documentation

Further documentation can be found on Read the Docs.

Project details


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Source Distribution

olimex-ekg-emg-0.1.8.tar.gz (7.9 MB view hashes)

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