Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/120072
Application of artificial neural networks for human muscle signal analysis and mechanical equipment control. 1. Problem overview
Publication Type (CRIS)
Straipsnis kitame recenzuojamame leidinyje / Article in other peer-reviewed edition (S5)
Publication Type (eLABa)
Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication (S4)
Author(s)
| Author | Affiliation |
|---|---|
Gerasimov, Vadim | Vilniaus universitetas |
Jonkus, Vytautas | Vilniaus universitetas |
Title
Application of artificial neural networks for human muscle signal analysis and mechanical equipment control. 1. Problem overview
Vadim Gerasimov, Gintaras Jonaitis, Vytautas Jonkus
Is part of
Innovative infotechnologies for science, business and education
Published In
| Year | Volume | Start Page | End Page |
|---|---|---|---|
2015 | 1 (18) | 7 | 12 |
Publisher
Vilnius : Vilniaus verslo kolegija
Extent
p. 7-12
URI
| URI | Access Rights |
|---|---|
| https://hdl.handle.net/20.500.14911/120072 | |
| Prieiga per internetą | Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access) |
Cited references
5
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)
Fizika / Physics (N002)
Abstract (en)
General principles for creating the electronic system devoted for processing and recognition of myoelectric signals were observed. Due to functional importance, usage of Artificial Neural Networks (ANN) for recognicion purposes were estimated as principle.
Resource Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Country
Lietuva / Lithuania (LT)
Owning collection
ISSN (of the container)
2029-1035
eLABa ID
26997217