You are in : Home » Results & submissions » Select UOA » 13 - Electrical and Electronic Engineering, Metallurgy and Materials » View submission: University of York » Outputs » Detail

Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of York

Return to search Previous output Next output

Output 50 of 85 in the submission

Article title

Optimal spectral tracking-With application to speed dependent neural modulation of tibialis anterior during human treadmill walking

Type

D - Journal article

DOI

10.1016/j.jneumeth.2008.10.028

Title of journal

Journal of neuroscience methods

Article number

Volume number

177

Issue number

First page of article

334

ISSN of journal

0165-0270

Year of publication

2009

URL

http://www.sciencedirect.com/science/article/pii/S0165027008006365

Number of additional authors

Additional information

This is the first paper to combine Kalman filtering AND spectral estimation to give optimal (MSE) tracking. Framework has opened up new application areas using non-stationary data: 1) Used in first analysis of spinal cord signals during variable speed human walking, Strathclyde University (b.a.conway@strath.ac.uk). 2) Analysis of Multielectrode array data during long (>30mins) awake behaving recordings, Nottingham University (Rob.Mason@nottingham.ac.uk). 3) Software code has been requested for use in BrainGate rehabilitation lab, Brown University, USA (Wilson_Truccolo@brown.edu).

Interdisciplinary

Cross-referral requested

Research group

B - Intelligent Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract