Advance your electromyography (EMG) research and data interpretation skills in this professional webinar focused on modern EMG acquisition, signal conditioning, and automated analysis techniques. Designed for researchers, clinicians, biomedical engineers, and neuroscience professionals, this session explores best practices for acquiring high-quality EMG data and extracting meaningful physiological insights using advanced software workflows.

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Participants will gain practical knowledge on surface EMG (sEMG) recording methodologies, electrode placement, signal filtering, muscle activation detection, frequency and power spectrum analysis, and quantitative EMG metrics such as RMS, integrated EMG (iEMG), and average rectified EMG (ARV). The webinar also highlights strategies for improving signal quality, minimizing artefacts, and synchronizing EMG data with additional physiological and biomechanical measurements.

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Topics Covered

• Fundamentals of EMG signal acquisition and analysis
• Surface EMG (sEMG) setup and electrode placement
• Real-time and post-processing signal filtering
• RMS, integrated EMG, and rectified EMG analysis
• Frequency and power spectrum analysis
• Muscle activation and fatigue detection
• Best practices for obtaining high-quality EMG recordings
• Synchronization of EMG with video and physiological data
• Applications in biomechanics, rehabilitation, neuroscience, ergonomics, and psychophysiology

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Who Should Attend

This webinar is ideal for:

• Neuroscience and physiology researchers
• Biomedical engineers
• Exercise and sports scientists
• Rehabilitation and motor control researchers
• Clinical researchers and laboratory technicians
• University educators and graduate students

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Learning Outcomes

By the end of the webinar, attendees will:

• Understand core EMG acquisition principles
• Learn how to optimize EMG signal quality
• Apply advanced EMG analysis workflows
• Interpret quantitative muscle activity metrics
• Improve reproducibility and reliability in EMG research