Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of York
Optimal spectral tracking-With application to speed dependent neural modulation of tibialis anterior during human treadmill walking
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).