Artifact reduction in magnetoneurography based on time-delayed second-order correlations

Andreas Ziehe, Klaus Robert Müller, Guido Nolle, Bruno Marcel Mackert, Gabriel Curio

Research output: Contribution to journalArticlepeer-review

100 Citations (Scopus)


Artifacts in magnetoneurography data due to endogenous biological noise sources, like the cardiac signal, can be four orders of magnitude higher than the signal of interest. Therefore, it is important to establish effective artifact reduction methods. We propose a blind source separation algorithm using only second-order temporal correlations for cleaning biomagnetic measurements of evoked responses in the peripheral nervous system. The algorithm showed its efficiency by eliminating disturbances originating from biological and technical noise sources and successfully extracting the signal of interest. This yields a significant improvement of the neuro-magnetic source analysis.

Original languageEnglish
Pages (from-to)75-87
Number of pages13
JournalIEEE Transactions on Biomedical Engineering
Issue number1
Publication statusPublished - 2000

Bibliographical note

Funding Information:
Manuscript received August 24, 1998; revised June 22, 1999. This work was supported in part by the Deutsche Forschungsgemeinschaft (DFG) under Contracts JA 379/51 and JA 379/71. The work of G. Nolte, B.-M. Mackert, and G. Curio was supported by the DFG under Grants MA 1782/1-1 and 1-2, and MA 1828/3-1. Asterisk indicates corresponding author. A. Ziehe is with GMD FIRST, 12489 Berlin, Germany. *K.-R. Müller is with GMD FIRST, Rudower Chaussee 5, 12489 Berlin, Germany (e-mail: [email protected]). G. Nolte, B.-M. Mackert, and G. Curio are with the Neurophysics Group, Department of Neurology, Klinikum Benjamin Franklin, 12200 Berlin, Germany. Publisher Item Identifier S 0018-9294(00)00245-7.


  • Artifact reduction
  • Biomagnetism
  • Biomédical data processing
  • Blind source separation
  • Independent component analysis
  • Magnetoneurography (MNG)

ASJC Scopus subject areas

  • Biomedical Engineering


Dive into the research topics of 'Artifact reduction in magnetoneurography based on time-delayed second-order correlations'. Together they form a unique fingerprint.

Cite this