Run 3rd-party applications in parallel with AcqKnowledge
AcqKnowledge with Network Data Transfer has the capability to send all of its channels over the network to other computers as well as the same computer.
The data from AcqKnowledge—such as physiological recordings, digital markers, and calculation channels—can be used in real time by other applications.
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In this demo clip, an electrocardiogram is recorded and heart rate is calculated using AcqKnowledge data acqusition and analysis software. The data is then sent to another computer running an application that controls the color of a virtual hand depending on the current heart rate. The display includes raw ECG, calculated heart rate, and a graph illustrating changes in heart rate. The data show that the heart rate is modified as respiration changes, and in turn the color of the hand is modified.
Network Data Transfer demo using heart rate to change hand
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MP160 System
Wired | Network Data Transfer – video demo
MP160 with AcqKnowledge licensed for Network Data Transfer for real-time data transfer to external applications
MP160 System
MP160 System
Wireless | Network Data Transfer – video demo
MP160 with AcqKnowledge licensed for Network Data Transfer for real-time data transfer to external applications
MP160 System
MP160 System
MRI | Network Data Transfer – video demo
MP160 with AcqKnowledge licensed for Network Data Transfer for real-time data transfer to external applications
MP160 System
MP160 System
Animal | Network Data Transfer – video demo
MP160 with AcqKnowledge licensed for Network Data Transfer for real-time data transfer to external applications
MP160 System
Day Passes T4: Tools, Trends, Techniques, and Technology Monday, July 24, 2017 – Wednesday, July 26, 2017 Join BIOPAC for 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 human physiology data […]
View AllThe 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 […]
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