umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper, Radiofysik.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Matematisk statistik.
Thayer School of Engineering, Dartmouth College.
1999 (Engelska)Ingår i: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 46, nr 6, s. 670-684Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In this paper, we introduce wavelet packets as an alternative method for spectral analysis of surface myoelectric(ME) signals. Both computer synthesized and real ME signals are used to investigate the performance. Our simulation results show that wavelet packet estimate has slightly less mean squareerror (MSE) than Fourier method, and both methods perform similarly on the real data. Moreover, wavelet packets give us some advantages over the traditional methods such as multiresolutionof frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. We also introduce wavelet shrinkage method for improving spectral estimates bysignificantly reducing the MSE’s for both Fourier and wavelet packet methods.

Ort, förlag, år, upplaga, sidor
1999. Vol. 46, nr 6, s. 670-684
Nyckelord [en]
Autoregressive moving average (ARMA), Fourier transform, myoelectric signal (ME), power spectral density, spectral estimation, wavelet transform (WT), wavelet packets (WP), WP spectrum, wavelet shrinkage, wavelet spectrum.
Nationell ämneskategori
Medicinteknik
Forskningsämne
signalbehandling
Identifikatorer
URN: urn:nbn:se:umu:diva-63699DOI: 10.1109/10.764944ISI: 000080461900007OAI: oai:DiVA.org:umu-63699DiVA, id: diva2:582395
Tillgänglig från: 2013-01-04 Skapad: 2013-01-04 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Karlsson, StefanYu, Jun

Sök vidare i DiVA

Av författaren/redaktören
Karlsson, StefanYu, Jun
Av organisationen
RadiofysikMatematisk statistik
I samma tidskrift
IEEE Transactions on Biomedical Engineering
Medicinteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 222 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf