ACQ
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AcqKnowledge files are saved by the BioPac system to save time series of physiological measurements -- for example, blood pressure, blood oxygenation, temperature, or skin conductance. It is a multi-channel file format in which each channel can have its own sampling rate (expressed relative to the file's master sampling rate). In addition, each channel may be integer or floating-point in nature. | AcqKnowledge files are saved by the BioPac system to save time series of physiological measurements -- for example, blood pressure, blood oxygenation, temperature, or skin conductance. It is a multi-channel file format in which each channel can have its own sampling rate (expressed relative to the file's master sampling rate). In addition, each channel may be integer or floating-point in nature. | ||
| − | There are two main flavors of AcqKnowledge files (both having the .acq extension): uncompressed and compressed. In the uncompressed file format, channel data is interleaved together; in the compressed format, each channel is stored as its own array, compressed by zlib. | + | There are two main flavors of AcqKnowledge files (both having the .acq extension): uncompressed and compressed. In the uncompressed file format, channel data is interleaved together; in the compressed format, each channel is stored as its own array, compressed by [[zlib]]. |
The format is partially documented [http://www.biopac.com/Manuals/app_pdf/app156.pdf in BioPac's AppNote 156]. | The format is partially documented [http://www.biopac.com/Manuals/app_pdf/app156.pdf in BioPac's AppNote 156]. | ||
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BioPac's own AcqKnowledge software can read and write .acq files. In addition, [https://github.com/njvack/bioread Bioread] is a Python-based open-source library that reads all known versions of .ACQ files. There is also a [http://www.mathworks.com/matlabcentral/fileexchange/14562-load-biopac-acq-acqknowledge-for-pc-data Matlab-based library] to do the same thing. | BioPac's own AcqKnowledge software can read and write .acq files. In addition, [https://github.com/njvack/bioread Bioread] is a Python-based open-source library that reads all known versions of .ACQ files. There is also a [http://www.mathworks.com/matlabcentral/fileexchange/14562-load-biopac-acq-acqknowledge-for-pc-data Matlab-based library] to do the same thing. | ||
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Latest revision as of 02:42, 10 February 2014
[edit] General description
AcqKnowledge files are saved by the BioPac system to save time series of physiological measurements -- for example, blood pressure, blood oxygenation, temperature, or skin conductance. It is a multi-channel file format in which each channel can have its own sampling rate (expressed relative to the file's master sampling rate). In addition, each channel may be integer or floating-point in nature.
There are two main flavors of AcqKnowledge files (both having the .acq extension): uncompressed and compressed. In the uncompressed file format, channel data is interleaved together; in the compressed format, each channel is stored as its own array, compressed by zlib.
The format is partially documented in BioPac's AppNote 156.
[edit] Software
BioPac's own AcqKnowledge software can read and write .acq files. In addition, Bioread is a Python-based open-source library that reads all known versions of .ACQ files. There is also a Matlab-based library to do the same thing.
