1-D local binary patterns for onset detection of myoelectric signals

P. McCool, N. Chatlani, L. Petropoulakis, J.J. Soraghan, R. Menon, H. Lakany

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)
Original languageEnglish
Title of host publication2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages499-503
Number of pages5
ISBN (Print)978-1-4673-1068-0
Publication statusPublished - Aug 2012

Keywords

  • electromyography
  • medical signal detection
  • 1D LBP
  • 1D local binary pattern
  • fine-tuning
  • forearm surface myoelectric signal onset detection algorithm
  • histogram bin type
  • lower arm gestur
  • manual threshold setting
  • signal measurement
  • window size
  • Detection algorithms
  • Educational institutions
  • Histograms
  • Manuals
  • Muscles
  • Standards
  • Synchronous motors
  • 1-D Local Binary Patterns
  • onset detection
  • surface electromyography

Cite this

McCool, P., Chatlani, N., Petropoulakis, L., Soraghan, J. J., Menon, R., & Lakany, H. (2012). 1-D local binary patterns for onset detection of myoelectric signals. In 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) (pp. 499-503). IEEE.