View Full Version : Full Ph.D. Scholarship in Neural-Prostheses

04-02-2001, 04:52 AM
IMPORTANT: The applicant to this particular scholarship has to be
an EU (or associated nation) citizen.

Full Ph.D. Scholarship in Neural Prostheses at Aalborg University,

There is now a full scholarship available towards a Ph.D. degree in
neural prosthesis at Aalborg University's Center for Sensory-Motor
Interaction (SMI). The project - described below - involves the
use of implanted electrodes in a effort to apply information
from muscle afferent fibers to control FES-based movements.

SMI is one of the world's leading institutions in neural prosthesis
research. It has a large international population
and it is committed to diversity in its student body.
For more information about our Center, please visit the following
web page:

The ideal candidate should have a biomedical/electrical/electronic
engineering background (i.e., a pure medical background is _not_
suitable) and should have already completed an MSc program in a related
field. Preference will be given to someone who has some experience
either with signal processing or control in a biomedical context.
Applicants with a bioinstrumentation background will also be considered.
The applicant has to be an EU (or associated nation) citizen.

Those interested please send a introductory letter and a CV
by e-mail - as soon as possible - to:

Francisco Sepulveda, Ph.D.
e-mail: frs@smi.auc.dk

-------- Ph.D. Project Description ---------
Control of FES-based movements can be enhanced by proper
estimation of the current state of motion. For example, in the
case of a paralyzed subject walking with the aid of FES, it is
crucial that we use reliable sensory information pertaining to the
output angular trajectories. The latter information can be
obtained from sensory nerve fibers stemming from musculotendinous
tissue to the spinal cord (i.e., muscle afferent fibers). Thus,
our research group (headed by Prof. Thomas Sinkjśr) has been using
cuff electrodes to extract relevant information by analyzing
signals obtained directly from the nerve bundles that carry it.
So far, a simple approach has been taken: rectified and bin
integrated ENG signals have been monitored and have been found to
allow for a reasonable mapping onto angular and torque data by
means of neural and fuzzy models. However, more reliable signals
can be obtained if alternative processing techniques are applied
to extract features that correlate better with angular data.
Further, recent attempts at controlling FES for smooth production
of swinging joint movements in a rabbit preparation have indicated
that a controller whose parameters are fixed cannot perform well
as time progresses. That is, there is a need for an adaptive

The main goal of the project is to use signals from muscle
afferents (in rabbits) to obtain angular information about a joint
during functional electrical stimulation. The extracted angular
information is to be used by a closed-loop controller to adjust
the stimulation parameters according to a desired joint trajectory
to be followed. The tasks will be divided into two related goals:
1. Development of a suitable adaptive computer based scheme for
control of the stimulation parameters, and
2. Further processing of the measured electroneurographs (ENG)
to optimize the correlation between the ENG features and joint

Francisco Sepulveda, Ph.D.
Center for Sensory-Motor Interaction (SMI)
Aalborg University
Fredrik Bajers Vej 7 D-3
DK-9220 Aalborg

e-mail: frs@smi.auc.dk

Phone: +45 9635 8806
Fax: +45 9815 4008

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