Combining high-density electromyography and ultrafast ultrasound to assess individual motor unit properties in vivo
Carbonaro, M. ; Rohlén, R. LU
; Seoni, S.
; Meiburger, K. M.
; Vieira, T.
; Grönlund, C.
and Botter, A.
(2023)
8th National Congress of Bioengineering, GNB 2023
In Convegno Nazionale di Bioingegneria
- Abstract
This study aims to compare two methods for the identification of anatomical and mechanical motor unit (MU) properties through the integration of high-density surface electromyography (HDsEMG) and ultrafast ultrasound (UUS). The two approaches rely on a combined analysis of the firing pattern of active MUs, identified from HDsEMG, and tissue velocity sequences of the muscle cross-section, obtained from UUS. The first method is the spike-triggered averaging (STA) of the tissue velocity sequence based on the occurrences of MU firings. The second is a method based on spatio-temporal independent component analysis (STICA) enhanced with the information of single MU firings. We compared the capability of these two approaches to identify the... (More)
This study aims to compare two methods for the identification of anatomical and mechanical motor unit (MU) properties through the integration of high-density surface electromyography (HDsEMG) and ultrafast ultrasound (UUS). The two approaches rely on a combined analysis of the firing pattern of active MUs, identified from HDsEMG, and tissue velocity sequences of the muscle cross-section, obtained from UUS. The first method is the spike-triggered averaging (STA) of the tissue velocity sequence based on the occurrences of MU firings. The second is a method based on spatio-temporal independent component analysis (STICA) enhanced with the information of single MU firings. We compared the capability of these two approaches to identify the regions where single MU fibers are located within the muscle cross-section (MU displacement area) in vivo. HDsEMG signals and UUS images were detected simultaneously from biceps brachii in ten participants (6 males and 4 females) during low-level isometric elbow flexions. Experimental signals were processed by implementing both STA and STICA approaches. The medio-lateral distance between the estimated MU displacement areas and the centroid of the MU action potential distributions was used to compare the two methods. We found that STICA and STA are able to detect MU displacement areas. However, STICA provides more precise estimations to the detriment of higher computational complexity.
(Less)
- author
- Carbonaro, M.
; Rohlén, R.
LU
; Seoni, S.
; Meiburger, K. M.
; Vieira, T.
; Grönlund, C.
and Botter, A.
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- averaging, high-density surface emg, independent component analysis, motor unit, ultrafast ultrasound
- host publication
- 8th National Congress of Bioengineering, GNB 2023 - Proceedings
- series title
- Convegno Nazionale di Bioingegneria
- publisher
- Patron Editore S.r.l.
- conference name
- 8th National Congress of Bioengineering, GNB 2023
- conference location
- Padova, Italy
- conference dates
- 2023-06-21 - 2023-06-23
- external identifiers
-
- scopus:85175855595
- ISSN
- 2724-2129
- ISBN
- 9788855580113
- language
- English
- LU publication?
- yes
- id
- 52f984e6-7927-4cb8-aa9c-0c76799b3a49
- date added to LUP
- 2023-12-04 14:16:10
- date last changed
- 2024-02-09 11:18:06
@inproceedings{52f984e6-7927-4cb8-aa9c-0c76799b3a49,
abstract = {{<p>This study aims to compare two methods for the identification of anatomical and mechanical motor unit (MU) properties through the integration of high-density surface electromyography (HDsEMG) and ultrafast ultrasound (UUS). The two approaches rely on a combined analysis of the firing pattern of active MUs, identified from HDsEMG, and tissue velocity sequences of the muscle cross-section, obtained from UUS. The first method is the spike-triggered averaging (STA) of the tissue velocity sequence based on the occurrences of MU firings. The second is a method based on spatio-temporal independent component analysis (STICA) enhanced with the information of single MU firings. We compared the capability of these two approaches to identify the regions where single MU fibers are located within the muscle cross-section (MU displacement area) in vivo. HDsEMG signals and UUS images were detected simultaneously from biceps brachii in ten participants (6 males and 4 females) during low-level isometric elbow flexions. Experimental signals were processed by implementing both STA and STICA approaches. The medio-lateral distance between the estimated MU displacement areas and the centroid of the MU action potential distributions was used to compare the two methods. We found that STICA and STA are able to detect MU displacement areas. However, STICA provides more precise estimations to the detriment of higher computational complexity.</p>}},
author = {{Carbonaro, M. and Rohlén, R. and Seoni, S. and Meiburger, K. M. and Vieira, T. and Grönlund, C. and Botter, A.}},
booktitle = {{8th National Congress of Bioengineering, GNB 2023 - Proceedings}},
isbn = {{9788855580113}},
issn = {{2724-2129}},
keywords = {{averaging; high-density surface emg; independent component analysis; motor unit; ultrafast ultrasound}},
language = {{eng}},
publisher = {{Patron Editore S.r.l.}},
series = {{Convegno Nazionale di Bioingegneria}},
title = {{Combining high-density electromyography and ultrafast ultrasound to assess individual motor unit properties in vivo}},
year = {{2023}},
}