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Matlab interface to identify motor unit spiking activity in real-time and display biofeedbacks based on this activity.

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simonavrillon/I-Spin

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Introduction:

I-spin Quattrocento is a Matlab app interfacing with a multichannel EMG recording system (i.e., EMG-Quattrocento, 400 channel EMG amplifier; OT Bioelettronica, Italy) to identify the firing activity of single motor units in real-time and translate it into several forms of visual feedback. Users can implement this tool during experiments requiring the control of the firing activity of individual motor units or pairs of motor units in real-time. We provide here a step-by-step protocol to facilitate the implementation of I-Spin live in any experimental settings. You can also read our paper on eLife's website that describes the method, the main steps of the experiments, and the capabilities of the app (https://elifesciences.org/reviewed-preprints/88670).

Updates:

October 2024: Release of I-spin Open Ephys that interfaces with the Open Ephys GUI (compatible with the Open Ephys acquisition board or the Intan RHD recording system)

October-November 2024: Release of I-Spin on Python

Citation and technical support:

For technical assistance and support, please contact: Dr. Simon Avrillon / Sir Michael Uren Hub / Imperial College London / 86 Wood Ln / London W12 0BZ / E-mail address: s.avrillon@imperial.ac.uk

If you use I-Spin live in your experimental setting, please cite the following preprint.

Rossato, J., Hug, F., Tucker, K., Gibbs, C., Lacourpaille, L., Farina, D., and Avrillon, S. (2024). I-Spin live: An open-source software based on blind-source separation for real-time decoding of motor unit activity in humans. eLife Sciences Publications, Ltd.

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Matlab interface to identify motor unit spiking activity in real-time and display biofeedbacks based on this activity.

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