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edvlugt80
11-16-2009, 08:30 AM
3 PhD STUDENT positions available on Neuromuscular Control of the Ankle
Joint in Stroke an Cerebral Palsy in the Netherlands.



Project:

ROBot-aided system Identification: novel tools for diagnosis and
assessment in Neurological rehabilitation. Acronym: ROBIN





A COLLABORATIVE DUTCH RESEARCH PROJECT BETWEEN:



* Delft University of Technology (DUT)

Biomechanical Engineering (BMechE), Neuromuscular Control Laboratory

Delft Center for Systems and Control (DCSC)

* Leiden University Medical Center (LUMC), Rehabilitation
Medicine, Laboratory for Kinematics and Neuromechanics

* Free University Medical Center (VUMC) Amsterdam, Rehabilitation
Medicine, Gait Laboratory



The BMechE group of DUT is headed by Prof. van der Helm and holds
internationally recognized expertise on system identification and
parameter estimation (SIPE) of the human neuromuscular system,
biomechanical modeling of the upper and lower extremities and
bio-inspired robotics. The Delft Center for Systems and Control (DCSC),
headed by Prof. Verhaegen, has gained a prominent position in the field
of system identification (non-linear and time-variant) through
pioneering work in the area of subspace identification, required to deal
with the highly nonlinear nature of the human movement system. The Dept.
of Rehabilitation Medicine of the LUMC is headed by Prof. Arendzen and
focuses on movement disorders in upper motor neuron diseases (UMND) and
has ample experience with the application of engineering technology in
human pathology. The Rehabilitation Dept. at the VUMC holds an
(inter)nationally recognized expert center for treatment of cerebral
palsy (CP) leaded by Prof. Becher and has expertise in clinically
oriented research and state-of-the-art knowledge on lower extremity
function (balance, walking).





GENERAL PROJECT INFORMATION



Stroke (or Cerebral Vascular Accident) results in acute brain damage and
increasing incidence with age. CP is pre- or perinatal brain damage in a
child that matures. Stroke and CP are Upper Motor Neuron Diseases (UMND)
which also comprise diseases like Multiple Sclerosis and Spinal Cord
Injury.



The overal goal of the ROBIN project is to improve clinical diagnosis
and treatment evaluation in disorders of the neuromuscular system using
new SIPE technology.



The focus of ROBIN is forwarded from the fields of expertise of the
collaborative laboratories and is threefold:

1. Development of SIPE techniques to quantify the mechanical and
neural components underlying human ankle impedance (1 PhD student
vacancy).

2. Application of the new SIPE technology to stroke and CP patients
to quantify the effect of different treatment modalities in terms of
mechanical and neural components of ankle impedance (1 PhD student
vacancy).

3. Analysis of the relationship between mechanical and neural
components in ankle impedance to gait performance in stroke and CP
patients (1 PhD student vacancy).





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PhD STUDENT #1: WORKPACKAGE DESCRIPTION



Application and development of SIPE technology for single joint
movement.



The candidate will develop new time variant system identification
techniques that build further onto so-called Linear Parameter Varying
(LPV) models, describing the time-variant system dynamics. The methods
will be developed in the context of subspace identification as developed
by the DCSC group at DUT. To improve model identification and/or model
interpretation both time domain and frequency domain points of view will
be used in the above research lines.

Important other aspects are the preparation and control of precise
torque and angular perturbations using an ankle manipulator, development
of measurement protocols, integration of ultrasonography into the
mechanical measures and the development of nonparametric and physical
models of the ankle impedance suited for parameterization into neural
(e.g. reflexive) and non-neural (e.g. tissue elasticity) properties.



Profile:

Graduation at master level with strong background in system
identification, linear and nonlinear systems analysis and neuromuscular
modeling. Experience on time variant system identification is a pre.
Hosting institute is DUT.





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PhD STUDENT #2: WORKPACKAGE DESCRIPTION



Determination of the value of the SIPE technology in clinical practice.



The new SIPE technology as developed in WP1 will be applied on stroke
and CP patients. Measurement protocols need to be developed that have
the potential to separate patients from healthy controls and are
sensitive to grade disease severity based on the estimated impedance
parameters. Further, the effect of different existing treatment
modalities on ankle impedance need to be determined based on impedance
parameters. Impedance parameters will be related to existing clinical
measures to indicate the added clinical value of the SIPE technology.

Important aspects are the inclusion of patients from outpatient centers,
conduction of experiments (clinical trials) using an ankle manipulator,
data analysis and clinical evaluation of the results.



Profile:

Graduation at master level with strong background in biomedical, human
movement or technical sciences. Educational or practicing skills on
system identification, neuromuscular modeling and affinity/experience
with clinical and experimental trials.[JH1]
Hosting institute will be LUMC.





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PhD STUDENT #3: WORKPACKAGE DESCRIPTION



Evaluation of the relation between neuromuscular properties of the ankle
joint and gait characteristics.



Functional gain, i.e. increased walking ability in case of lower
extremity involvement, is a major goal in rehabilitation. The high
resolution and easy applicable single-joint approach (WP1 and WP2) has
therefore to be ecologically validated, i.e. the significance of
single-joint SIPE parameters in gait performance has to be determined.
Comparison of single joint neuromuscular parameters to gait performance
will allow for a gradual understanding of the role of these parameters
in gait. Gait analysis (stability, energy, speed) will be performed
using a treadmill and in parallel to single joint assessment for optimal
adjustment of the clinical decision making process.

Important aspects are the kinematic and kinetic analysis from measured
treadmill data (ground reaction forces, motion cameras),
parameterization of gait stability, energy (oxygen consumption) and gait
performance and evaluation of different treatment of ankle impedance on
these gait parameters.



Profile[JH2] :

Master degree in human movement sciences or a strongly related field.
Experience in conducting gait studies, motion recording, kinetics,
kinematics, neuromuscular modeling on single and multiple joint scales.
Hosting will be at VUMC and the Rijnland Rehabilitation Center.





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All three PhD positions are complementary and tightly coupled within the
ROBIN framework.



ADDITIONAL INFORMATION


Salaries for PhD students in the Netherlands are determined at 2042 Euro
in the first year to 2612 Euro in the fourth year (gross amount).



Collaborating staff involved in the ROBIN project:

Delft University of Technology (DUT), Biomechanical Engineering

Erwin de Vlugt, PhD (project leader)

Frans C.T. van der Helm, PhD

Alfred C. Schouten, PhD



Delft University of Technology, Delft Center for Systems and Control
(DCSC)

Michel Verhaegen, PhD



Leiden University Medical Center (LUMC), Department of Rehabilitation
Medicine

Carel G.M. Meskers, PhD, MD

Jurriaan H. de Groot, PhD

J. Hans Arendzen, PhD, MD



V.U. Medical Center (VUMC), Department of Rehabilitation Medicine

Jaap Harlaar, PhD

Jules G. Becher, PhD, MD

Gert Kwakkel, PhD



If you are interested in one of these vacancies, please contact with
Erwin de Vlugt at e.devlugt@tudelft.nl by
sending a letter clearly stating your skills and motivation and a
separate CV. Do not hesitate to ask for additional information.





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Erwin de Vlugt, PhD



Assistant Professor

Neuromuscular Control

Biomechanical Engineering

Faculty of Mechanical Engineering

Delft University of Technology

Mekelweg 2, 2628 CD Delft

The Netherlands

phone 015-2785247

fax 015-2784714

email e.devlugt@tudelft.nl

web www.3me.tudelft.nl/nmc