Webinar

Recording Great EMG: From Large Muscles to Facial EMG

May 14
-
May 14
2026
Online

Join our upcoming technical webinar for a comprehensive, application-focused guide to acquiring high-quality electromyography (EMG) data across a wide range of research environments. This session is designed for researchers, engineers, and lab technicians seeking to optimise signal integrity, minimise noise, and implement robust EMG workflows from the outset.

Through a structured, step-by-step approach, we will cover the full EMG acquisition pipeline, from participant preparation and electrode placement to hardware selection and software configuration. Particular emphasis is placed on identifying and mitigating common artefacts, ensuring reproducible and reliable recordings in both standard and complex experimental setups.

The webinar also provides an in-depth overview of advanced EMG system configurations using AcqKnowledge and BIOPAC Systems, Inc. hardware solutions. Attendees will gain practical insights into wired and wireless acquisition, MRI-compatible systems, and integrated multimodal recording workflows.

What you will learn

  • Evidence-based best practices for participant skin preparation and electrode placement, including facial EMG applications
  • Configuration of hardware presets, acquisition channels, and reusable study templates in AcqKnowledge
  • Selection of appropriate EMG sensors for general, facial, ambulatory, and MRI-compatible recording scenarios
  • Implementation of live EMG recordings with synchronized video capture, trigger integration, and external stimulation
  • Real-time signal processing using calculation channels (rectification, RMS envelopes, threshold detection)
  • Setup of EMG audio monitoring and biofeedback for immediate behavioural validation and experimental control

This webinar is ideal for laboratories working in neuroscience, psychophysiology, human performance, and biomedical engineering, providing practical guidance to enhance data quality, streamline workflows, and ensure experimental reproducibility.

Register now to elevate your EMG data acquisition standards and unlock the full potential of your research infrastructure.

Register now