Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
Statistics
Login
First page
>
Show document
Show document
Title:
Short example of Biceps Brachii muscle surface HDEMG decomposition using the DEMUSE Tool
Authors:
ID
Holobar, Aleš
, University of Maribor (
Author
)
ID
Divjak, Matjaž
, University of Maribor (
Data Curator
)
Files:
sEMG_SynthSig_BicepsBrachii_Holobar_v1.0.0.zip
(382,07 MB)
MD5: 308AFEF1A86DEA6A676020E2228354B9
README.txt
(12,69 KB)
MD5: 96824FDD4862963DFAF3AF98A126AC83
DKUM_dataset_introduction.pdf
(112,87 KB)
MD5: BAEAE1B2327F9313D13EFE54B617BF61
This document has even more files. Complete list of files is available
below
.
Language:
English
Work type:
Unknown
Typology:
2.20 - Research data
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
This dataset contains 4 examples of synthetic high density surface EMG signals of the Biceps Brachii muscle and results of their decomposition into separate motor unit activity. It is intended as a demonstration of the DEMUSE Tool software for sEMG decomposition and as a basis for practical example of dataset preparation for the HybridNeuro project webinar on Data management and ethics (
https://www.hybridneuro.feri.um.si/results.html#webinars
). Two sets of data are included: the raw simulated sEMG signals and the results of decomposition of those signals with the DEMUSE Tool.
Keywords:
surface high density electromyogram (HDEMG)
,
decomposition
,
motor unit
,
DEMUSE
,
simulation
,
biceps brachii
,
dataset
Publisher:
s. n.
Year of publishing:
2024
PID:
20.500.12556/DKUM-88168
UDC:
004.6
COBISS.SI-ID:
247601923
DOI:
10.5281/zenodo.10936952
Data col. methods:
Simulation
Publication date in DKUM:
07.05.2024
Views:
463
Downloads:
62
Metadata:
Categories:
Misc.
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Average score:
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Document is financed by a project
Funder:
EC - European Commission
Funding programme:
HE
Project number:
101079392
Name:
Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders
Acronym:
HybridNeuro
Funder:
UKRI - UK Research and Innovation
Funding programme:
Innovate UK
Project number:
10052152
Name:
Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders (HybridNeuro)
Acronym:
HybridNeuro
Licences
License:
Other
Description:
Creative Commons Zero v1.0 Universal
License:
CC0 1.0, Creative Commons CC0 1.0 Universal
Link:
https://creativecommons.org/publicdomain/zero/1.0/deed.en
Description:
CC Zero enables scientists, educators, artists and other creators and owners of copyright- or database-protected content to waive those interests in their works and thereby place them as completely as possible in the public domain, so that others may freely build upon, enhance and reuse the works for any purposes without restriction under copyright or database law.
Secondary language
Language:
Slovenian
Keywords:
simulacija
,
elektromiogrami
Files
Loading...
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
