Pole trajectory analysis for autoregressive processes of movement-related cortical potentials in man

G. Bonmassar, C. Babiloni, P. Onorati, F. Babiloni

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

Abstract

A pole trajectory analysis is presented for high-order autoregressive processes of movement-related potentials recorded from the human scalp. The aim is to obtain a geometrical pattern related to spectral analysis of these potentials. It is shown that this pattern can be used for matching data from different groups of subjects or recognizing electroencephalographic signals contaminated by artifacts. Poles are estimated using simultaneous determination of the polynomial roots algorithm and other factorization schemes. The pole trajectory analysis is performed using a time window of 500 ms moving through the recording for 2.5-ms steps. Results show that most of the pole trajectories are fitted by a cardioid.

Original languageEnglish
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages464-465
Number of pages2
Volume13
Editionpt 1
ISBN (Print)0780302168
Publication statusPublished - 1991
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

  • Bioengineering

Fingerprint Dive into the research topics of 'Pole trajectory analysis for autoregressive processes of movement-related cortical potentials in man'. Together they form a unique fingerprint.

  • Cite this

    Bonmassar, G., Babiloni, C., Onorati, P., & Babiloni, F. (1991). Pole trajectory analysis for autoregressive processes of movement-related cortical potentials in man. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 1 ed., Vol. 13, pp. 464-465). Publ by IEEE.