Real-Time Decomposition of Multi-Channel Intramuscular EMG Signals Recorded by Micro-Electrode Arrays in Humans Article Swipe
Tianyi Yu
,
Silvia Muceli
,
Konstantin Akhmadeev
,
Éric Le Carpentier
,
Yannick Aoustin
,
Dario Farina
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/tbme.2025.3556853
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/tbme.2025.3556853
Intramuscular electromyography (iEMG) decomposition identifies motor neuron (MN) discharge timings from interference iEMG recordings. When this is performed in real-time, the extracted neural information can be used for establishing human-machine interfaces. We propose a multi-channel real-time decomposition algorithm based on a Hidden Markov Model of EMG and a Bayesian filter to estimate the spike trains of motor units (MUs) and their action potentials (MUAPs). The multi-channel framework of Bayesian modelling and filtering was implemented into parallel computation using multiple GPU clusters, which ensures computational speed compatible with real-time decomposition. A decomposed-checked channel strategy is then proposed for arranging channels into groups to be processed in related GPU clusters. The algorithm was validated on six 16-channel simulated signals, three 32-channel experimental signals acquired from the human tibialis anterior muscle, and two 16-channel experimental signals acquired from the abductor digiti minimi muscle with thin-film implanted electrodes. All signals were decomposed in real time with an average decomposition accuracy $>90\%$. In conclusion, the proposed multi-channel iEMG decomposition algorithm can be applied to implanted multi-channel electrode arrays to establish human-machine interfaces with high-information transfer.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tbme.2025.3556853
- OA Status
- green
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409058574
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409058574Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/tbme.2025.3556853Digital Object Identifier
- Title
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Real-Time Decomposition of Multi-Channel Intramuscular EMG Signals Recorded by Micro-Electrode Arrays in HumansWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-04-01Full publication date if available
- Authors
-
Tianyi Yu, Silvia Muceli, Konstantin Akhmadeev, Éric Le Carpentier, Yannick Aoustin, Dario FarinaList of authors in order
- Landing page
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https://doi.org/10.1109/tbme.2025.3556853Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://hal.science/hal-05040251Direct OA link when available
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Electrode, Decomposition, Biomedical engineering, Channel (broadcasting), Computer science, Materials science, Acoustics, Speech recognition, Electronic engineering, Engineering, Physics, Chemistry, Telecommunications, Quantum mechanics, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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51Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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