Accurate and representative decoding of the neural drive to muscles in humans with multi‐channel intramuscular thin‐film electrodes
Artikel i vetenskaplig tidskrift, 2015

We describe the design, fabrication and testing of a novel multi-channel thin-film electrode for detection of the output of motoneurones in vivo and in humans, through muscle signals. The structure includes a linear array of 16 detection sites that can sample intramuscular electromyographic activity from the entire muscle cross-section. The structure was tested in two superficial muscles (the abductor digiti minimi (ADM) and the tibialis anterior (TA)) and a deep muscle (the genioglossus (GG)) during contractions at various forces. Moreover, surface electromyogram (EMG) signals were concurrently detected from the TA muscle with a grid of 64 electrodes. Surface and intramuscular signals were decomposed into the constituent motor unit (MU) action potential trains. With the intramuscular electrode, up to 31 MUs were identified from the ADM muscle during an isometric contraction at 15% of the maximal force (MVC) and 50 MUs were identified for a 30% MVC contraction of TA. The new electrode detects different sources from a surface EMG system, as only one MU spike train was found to be common in the decomposition of the intramuscular and surface signals acquired from the TA. The system also allowed access to the GG muscle, which cannot be analysed with surface EMG, with successful identification of MU activity. With respect to classic detection systems, the presented thin-film structure enables recording from large populations of active MUs of deep and superficial muscles and thus can provide a faithful representation of the neural drive sent to a muscle.

Författare

Silvia Muceli

Universitätsmedizin Göttingen

Wigand Poppendieck

Fraunhofer-Institut fur Biomedizinische Technik - IBMT

Francesco Negro

Universitätsmedizin Göttingen

Ken Yoshida

Indiana University - Purdue University Indianapolis

Klaus P. Hoffmann

Fraunhofer-Institut fur Biomedizinische Technik - IBMT

Jane E. Butler

Neuroscience Research Australia (NeuRA)

Simon C. Gandevia

Neuroscience Research Australia (NeuRA)

Dario Farina

Universitätsmedizin Göttingen

Journal of Physiology

0022-3751 (ISSN) 1469-7793 (eISSN)

Vol. 593 17 3789-3804

Ämneskategorier

Idrottsvetenskap

Fysiologi

Neurologi

DOI

10.1113/JP270902

Mer information

Senast uppdaterat

2021-04-01