Lab Streaming Layer (LSL) Integration for AcqKnowledge
Date
Thursday, June 27, 2024
Location
On-Demand Playback
Host
BIOPAC SYSTEMS, INC. - U.S.A.
![](https://www.biopac.com/wp-content/uploads/LSL-WBR.jpg)
This webinar will focus on the new Lab Streaming Layer integration for BIOPAC’s AcqKnowledge software. This will include demonstrations of the new LSL integrations for the Apex 32-channel wearable EEG system and the Axon-R Brain Computer Interface Augmented Reality headset. The Apex EEG system and the Axon-R headset both support LSL for access to their data streams. The AcqKnowledge LSL integration provides real-time access to the data streams from both devices for synchronization, display, recording, and analysis. Plus, these streams can be combined with any other signals being recorded by BIOPAC hardware. Lab Streaming Layer (LSL) is a powerful framework for real-time data streaming and synchronization. LSL is intended to simplify the integration of data through a standardized application programming interface (API) that can be used by researchers and manufacturers to bring distinct data streams together for display, recording and data analysis. BIOPAC is adding LSL integration to AcqKnowledge as a new licensed feature. What is LSL?
LSL Purpose and Features:
Webinar Details:
Attendees will learn about setting up LSL, receiving, recording data, and troubleshooting common issues. Related Products
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Frazer Findlay – CEO of BIOPAC
Frazer Findlay has more than 25 years of experience in life science data acquisition and analysis. Frazer is a well-regarded expert in the physiology monitoring industry and has facilitated workshops in the U.S., Europe, and Asia. He is familiar with a variety of software, equipment, and laboratory protocols for a wide array of signals and measurements. Frazer joined BIOPAC in 1996 as the Domestic Sales Manager and became CEO in 2008. He continues to develop and grow the business while also working with physiology measurement and biometric companies to improve the physiology monitoring industry.
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