Join BIOPAC for our next AcqKnowledge webinar Thursday, September 21 at 8am PDT.
This webinar will focus on the AcqKnowledgeFind Cycle Peak Detector function. The Find Cycle detector is an incredibly useful tool that allows users to identify peaks or parts of waveforms to place event markers, automatically take measurements, or average and view the data in different formats.
Frazer Findlay will present an overview of the Find Cycle analysis function. The webinar will also include a demonstration on sample data on how to locate and place event marks within a data file, take measurements at specific time intervals, how to use the time controls to place measurement cursors, average a waveform and how to display using a 3D surface plot, as well as go over the Find Cycle Clustering option.
If you are new to AcqKnowledge, you will learn advanced techniques to quickly analyze and get the most out of your data. If you’re a long time user, you will probably see useful analysis functions work in conjunction with Find Cycle to expedite your analysis process. AcqKnowledge is a very powerful tool and there are many features that can save time and make life easier.
Smart Center Stand-alone, Portable Wireless Physiology Systems Smart Center Essentials entry-level system includes a Smart Center Device (BN-SMART with USB power cable), 2 or 3 Transmitters (BN-xxx-T with chargers); AcqKnowledge for Smart Center, and a case. Smart Center Enhanced adds a Logger (BN-LOGGER) and Basic Scripting License (ACK100W-BAS) to the Smart Center Device (BN-SMART with powercable), 3 […]
Good quality data is important for reliable physiological research. No longer restrained to wires or stationary devices, BIOPAC’s newly released Smart Center is a lightweight and compact system designed to acquire quality data. The portable, wireless device offers high fidelity physiological data, allowing for subjects to be untethered while being recorded. The system includes the […]
The new issue of Psychophysiology has a study “Quantifying rapid changes in cardiovascular state with a moving ensemble average” using MEAP for preprocessing/analysis and BIOPAC hardware and software for data collection, display, and storage. The proof of concept study demonstrates a viable method for the adoption of ICG measures across the field of psychophysiology. MEAP (moving ensemble […]