Cargando…
Three-Way Analysis of Spectrospatial Electromyography Data: Classification and Interpretation
Classifying multivariate electromyography (EMG) data is an important problem in prosthesis control as well as in neurophysiological studies and diagnosis. With modern high-density EMG sensor technology, it is possible to capture the rich spectrospatial structure of the myoelectric activity. We hypot...
Autores principales: | Kauppi, Jukka-Pekka, Hahne, Janne, Müller, Klaus-Robert, Hyvärinen, Aapo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454601/ https://www.ncbi.nlm.nih.gov/pubmed/26039100 http://dx.doi.org/10.1371/journal.pone.0127231 |
Ejemplares similares
-
Visual Features Underlying Perceived Brightness as Revealed by Classification Images
por: Kurki, Ilmari, et al.
Publicado: (2009) -
Electromyography of the muscle spindle
por: Partanen, Juhani V., et al.
Publicado: (2022) -
Independent component analysis: recent advances
por: Hyvärinen, Aapo
Publicado: (2013) -
Interpretable brain age prediction using linear latent variable models of functional connectivity
por: Monti, Ricardo Pio, et al.
Publicado: (2020) -
Interpretable Machine Learning Models for Three-Way Classification of Cognitive Workload Levels for Eye-Tracking Features
por: Kaczorowska, Monika, et al.
Publicado: (2021)