From the drop-down menu for Save as type select Text
Click on the Options button
If Include header is checked the following information will be included in the beginning
of the file: file path, sample rate, number of channels, name of each channel as well as
measurement units for each channel, etc.
If Selected section only is checked then only the data currently highlighted (with the I-beam
tool) will be exported.
If Horizontal scale values is selected then time values will be included as the first column
of the resulting text file.
In the exported text file each column represents data from a different channel. If Horizontal scale values was selected then the first column contains the time values. Here is an example of an exported text file.
In the above example, the values should be interpreted as follows:
Blood Pressure: 87.2121333, 87.1100708
EMG: 1.010376, 1.0100708
Time: 0,10 (msec)
Importing a text file into AcqKnowledge.
1. Go to File > Open
2. From Files of type select Text file
3. Click on the Options button
The Read line option allows you to import only a section of the file
The Interval option allows you to define the sample rate
The Column delimiter allows you to specify how columns of data are separated
When importing a text file it should have the following format (the delimiter could be a comma, tab or a space):
Every row corresponds to a sample point at a given time and every column contains the data for a different channel. For the above example, if the sample rate was 1 second, the file will be interpreted as follows:
Register Today! T4: Tools, Trends, Techniques, and Technology Monday, July 24, 2017 – Wednesday, July 26, 2017 Join BIOPAC for three days of hands-on, small-group human physiology workshops, presented by renowned experts, on the beautiful University of California at Santa Barbara campus in Santa Barbara, California, USA. Who should attend Anyone who records and analyzes […]
The Mobita 32-Channel EEG recording system was used in research examining if physiological data can be used to predict truly random events that correspond to perceptual stimuli. Baumgart, et al. from the University of California Santa Barbara utilized a quantum random number generator (qRNG) to choose from three randomized conditions: light, sound, and no stimulus. […]
BIOPAC provides software and hardware that allow for research teams to record and analyze respiration activity in physiological experimentation. Here are a few notable studies in monitoring respiration and cardiovascular activity. The coupling between peripheral microcirculation and slow breathing: The purpose of this study was to investigate the coupling of breathing movements and microcirculatory blood […]