Decoding the physiological signatures in (EMG) signals
Wednesday 29th May | 15.00 BST
When muscles contract they emit electrical signals that are picked up by Electromyography (EMG). The signals code many features of the physiological state and recruitment patterns of the muscles. This free webinar will explore the physiological signatures in EMG signals.
We are delighted to welcome Professor James Wakeling for this free webinar Decoding the physiological signatures in EMG signals which is in partnership with BASES. This presentation will consider how to use wavelet analysis and principal component techniques to decode this information from the EMG. EMG-derived patterns of recruitment and coordination will be discussed and implications for new muscle models will be considered as will the physiological signatures in EMG signals.
Learning Outcomes of the Webinar
- Describe features of muscle contraction that influence electrical properties of the EMG signal
- Discuss how time-frequency characteristics of EMG can be quantified using principal component approaches
- Outline how EMG-specific wavelet techniques can decompose EMG signals into time-frequency properties.
- Explain how patterns of motor recruitment and muscle function can be determined using EMG
Presenter Profile – Professor James Wakeling
Professor Wakeling has 25 years of experience studying high-performance function in muscles from both animal and human systems.
He’s currently lead a research laboratory in Simon Fraser University, Canada that develops novel approaches to EMG signal decomposition, image analysis techniques for diagnostic ultrasound and physiologically-realistic muscle models for musculoskeletal simulations.
Recent highlights include:
- Demonstrating how motor recruitment patterns change with the mechanical demands of a movement.
- How models are better able to predict muscle forces when they account for muscle fibre-type characteristics and their metabolic cost.
- How deteriorations in muscle tissue with intramuscular fat cause reductions in the mechanical quality of contractions.
If you have any questions for Professor James Wakeling regarding physiological signatures in EMG signals there will be a 15 minute Q&A session at the end of his presentation. You can submit questions via the sign up page or during the webinar by typing them into the questions box.
Recording will be available
If you cannot make the live presentation, fear not the recording will be available on our website. If you are registered you will be sent a link to the recording, when available. Usually within 48 hours.
Human Kinetics and BASES partnership webinars
This webinar is brought to you in association with Human Kinetics and The British Association of Sport and Exercise Sciences (BASES).
All previous Human Kinetics and BASES webinars are available for playback. To view them you must sign in or create an account. For information on all Human Kinetics/BASES webinars past and present, read our post – Human Kinetics and BASES Webinars – Everything you need to know.