I-Spin live, an open-source software based on blind-source separation for real-time decoding of motor unit activity in humans

被引:1
作者
Rossato, Julien [1 ]
Hug, Francois [2 ,3 ]
Tucker, Kylie [3 ]
Gibbs, Ciara [4 ]
Lacourpaille, Lilian [1 ]
Farina, Dario [4 ]
Avrillon, Simon [4 ]
机构
[1] Nantes Univ, Lab Movement Interact Performance UR 4334, Nantes, France
[2] Univ Cote Azur, LAMHESS, Nice, France
[3] Univ Queensland, Sch Biomed Sci, Brisbane, Qld, Australia
[4] Imperial Coll London, Fac Engn, Dept Bioengn, London, England
来源
ELIFE | 2024年 / 12卷
基金
欧洲研究理事会; 英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
electromyography; motor unit; decomposition; neural decoding; ACTION-POTENTIALS; IDENTIFICATION; PHYSIOLOGY;
D O I
10.7554/eLife.88670
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Decoding the activity of individual neural cells during natural behaviours allows neuroscientists to study how the nervous system generates and controls movements. Contrary to other neural cells, the activity of spinal motor neurons can be determined non-invasively (or minimally invasively) from the decomposition of electromyographic (EMG) signals into motor unit firing activities. For some interfacing and neuro-feedback investigations, EMG decomposition needs to be performed in real time. Here, we introduce an open-source software that performs real-time decoding of motor neurons using a blind-source separation approach for multichannel EMG signal processing. Separation vectors (motor unit filters) are optimised for each motor unit from baseline contractions and then re-applied in real time during test contractions. In this way, the firing activity of multiple motor neurons can be provided through different forms of visual feedback. We provide a complete framework with guidelines and examples of recordings to guide researchers who aim to study movement control at the motor neuron level. We first validated the software with synthetic EMG signals generated during a range of isometric contraction patterns. We then tested the software on data collected using either surface or intramuscular electrode arrays from five lower limb muscles (gastrocnemius lateralis and medialis, vastus lateralis and medialis, and tibialis anterior). We assessed how the muscle or variation of contraction intensity between the baseline contraction and the test contraction impacted the accuracy of the real-time decomposition. This open-source software provides a set of tools for neuroscientists to design experimental paradigms where participants can receive real-time feedback on the output of the spinal cord circuits.
引用
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页数:23
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