https://www.mdu.se/

mdu.sePublications
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Surface EMG signal processing: Removing ECG interferences and classifying hand movements
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8294-861X
2017 (English)In: Medicinteknikdagarna 2017 MTD 2017, Västerås, Sweden, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Västerås, Sweden, 2017.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-38633OAI: oai:DiVA.org:mdh-38633DiVA, id: diva2:1187259
Conference
Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileAvailable from: 2018-03-02 Created: 2018-03-02 Last updated: 2018-03-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Abbaspour, Sara

Search in DiVA

By author/editor
Abbaspour, Sara
By organisation
Embedded Systems
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 1280 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.45.0
|
WCAG
|
Mälardalen University Library
|
DiVA Log in