bioread 0.9.3

Utilities to read BIOPAC AcqKnowledge files

h1. Libraries for reading BIOPAC files

These utilities are for reading the files produced by BIOPAC's AcqKnowledge software. Much of the information is based on "Application Note 156":http://www.biopac.com/Manuals/app_pdf/app156.pdf from BIOPAC; however, newer file formats were decoded through the tireless efforts of John Ollinger and Nate Vack.

This library is mostly concerned with getting you the data, and less so with interpreting UI-related header values.

h2. Status

As far as I know, this should read any AcqKnowledge file you throw at it. Windows, Mac, uncompressed, compressed, old, new... it should happily read 'em all. If you have trouble with a file, I'd love to get a copy and make bioread work with it.

h2. Installation

We're up in "pypi":http://pypi.python.org/pypi, so installing should be as simple as:

<pre>
easy_install bioread
</pre>

Note that bioread requires the excellent "NumPy":http://numpy.scipy.org/ package, and writing Matlab files requires "SciPy":http://scipy.org/.

h2. Command-line usage:

h3. acq2mat

This program creates a Matlab (version 5) file from an AcqKnowledge file. On the back-end, it uses "scipy.io.savemat":http://docs.scipy.org/doc/scipy/reference/generated/scipy.io.savemat.html. Channels are stored in a cell array named 'channels'.

<pre>
Usage: acq2mat [options] ACQ_FILE MAT_FILE

Options:
--version show program's version number and exit
-h, --help show this help message and exit
-c, --compress Save compressed Matlab file

Note: Using - for ACQ_FILE reads from stdin.
</pre>

Then, in Matlab:

<pre>
>> data = load('myfile.mat')

data =

channels: [1x2 cell]
headers: [1x1 struct]
samples_per_second: 1000

>> data.channels{1}

ans =

units: 'Percent'
frequency_divider: 1
samples_per_second: 1000
data: [1x10002 double]
name: 'CO2'

>> plot(data.channels{1}.data)

(Plots the data)
</pre>

As noted in the usage instructions, acq2mat will read from stdin, so if your files are gzipped, you can say:

<pre>
zcat myfile.acq.gz | acq2mat - myfile.mat
</pre>

h3. acq2txt

acq2mat will take the data in an AcqKnowledge file and write it to a text file.

<pre>
Usage: acq2txt [options] ACQ_FILE

Options:
--version show program's version number and exit
-h, --help show this help message and exit
-c, --channel channel number to extract (default=0)

Note: Using - for ACQ_FILE reads from stdin.
</pre>

h3. acq_info

acq_info prints out some simple debugging information about an AcqKnowledge file. It'll do its best to print something out even for damaged files.

<pre>
Usage: acq_info [options] ACQ_FILE

Options:
--version show program's version number and exit
-h, --help show this help message and exit
-d, --debug Print lots of debugging data

Note: Using - for ACQ_FILE reads from stdin.
</pre>

As noted in the usage instructions, acq_info will read from stdin, so if your files are gzipped, you can say:

<pre>
zcat myfile.acq.gz | acq_info -
</pre>

h2. API usage:

If you want to process the data as NumPy arrays instead, there's an easy API to work with it:

<pre>
>>> import bioread
>>> data = bioread.read_file("myfile.acq")
>>> data.file_revision
84
>>> len(data.channels)
2
>>> data.channels[0].samples_per_second
1000.0
>>> len(data.channels[0].data)
10002
>>> data.channels[1].samples_per_second
500.0
>>> len(data.channels[1].data)
5001
>>> len(data.channels[1].upsampled_data)
10002
>>> data.channels[0].data[0]
1.23
>>> data.channels[0].raw_data[0] # ints are not scaled
13
>>> data.channels[0].name
'CO2'
>>> data.named_channels['CO2'].data[0]
1.23
>>> from bioread.writers import MatlabWriter
>>> MatlabWriter.write_file(data, "myfile.mat") # Creates a matlab file.
</pre>

h2. Notes

I've tested all the various vintages of files I can think of and find, except very old (AcqKnowledge 2.x) files.

Also, the channel order I read is not the one displayed in the AcqKnowledge interface. Neither the order of the data nor any channel header value I can find seems to entirely control that. I'm gonna just assume it's not a very big deal.

h2. Copyright & Disclaimers

bioread is distributed under Version 2 of the GNU Public License. For more details, see LICENSE.

BIOPAC is a trademark of BIOPAC Systems, Inc. The authors of this software have no affiliation with BIOPAC Systems, Inc, and that company neither supports nor endorses this software package.