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Francesco Benvenuti
05-27-2000, 06:42 PM
It is with great excitement that the Laboratorio di Fisiopatologia e
Riabilitazione del Movimento of the Geriatric Department of the Italian
National Research Centre on Ageing (INRCA) of Florence, Italy, wishes to
announce the instructional course:

CLINICAL MOVEMENT ANALYSIS FOR REHABILITATION MEDICINE
Florence, Italy, 26 November - 1 December 2000

Staff from the BIOMECHANICS LABORATORY at the NATIONAL INSTITUTES
OF HEALTH (NIH) and the DIPARTIMENTO DI SCIENZE BIOMEDICHE
of the UNIVERSIT└ DEGLI STUDI DI SASSARI have agreed to open this
training opportunity to the public. The program of the course is designed
for physical medicine physicians, orthopedists, neurologists, geriatricians,
physical therapists, kinesiologists, bioingeneers and computer scientists.
Staff from the Biomechanics Laboratory at the National Institutes of Health will be
participating in this course as non-paid instructors under a broad research
cooperation between the United States of America and the Italian government.
Please note, the number of course participants is STRICTLY LIMITED in order
to maintain a personalized hands-on experience. The official language of the
course will be English. No translation will be provided.

Rehabilitation specialists must have understanding of how impairments of the
neuromusculoskeletal system translate into movement disorders and ultimately
into physical disabilities. Clinical movement analysis is rapidly evolving
into an important tool for assisting rehabilitation specialists in their
quest to achieve optimal patient function - for it provides valuable clues
towards our understanding of the trans-domain cause and effect relationship
that relates impairments to functional movement limitations and physical
disabilities.

The course contains two challenging parallel instructional tracks both
having emphasis on experiential learning through practical laboratory
experiences. The clinical group will receive special instruction on
combining patient assessment information and rehabilitation focused clinical
movement analysis data for a clearer understanding of a patient's movement
performance status and the evaluation and enhancement of various
rehabilitation interventions. The technical group will receive special
instruction on the configuration and evaluation of movement analysis systems
and the matching of advanced movement modeling and analysis capabilities
with the unique needs of rehabilitation clinicians. Participants from both
tracks will be combined frequently to create evaluation teams that will be
asked to perform challenging assessments on mock patient cases.

The primary course objective is to teach both clinical and technical
participants a set of rehabilitation-focused clinical movement analysis
techniques and introduce participants to several future motion analysis
methods. The established movement analysis techniques are based on the
generalized six degree-of-freedom movement analysis tools implemented in the
Biomechanics Laboratory at the National Institutes of Health. The future
methods include induced acceleration analysis and computer-based movement
simulation. Participants will experience hands-on training with a powerful
set of computer visualization tools designed to significantly enhance the
basic capabilities of the NIH Move3D public domain software package.

Following the course participants should:
1. Comprehend and articulate the rehabilitation domains defined by the
National Center for Medical Rehabilitation Research (NCMRR).
2. Understand the role movement analysis plays within the NCMRR
rehabilitation model.
3. Be capable of implementing the rehabilitation-focused clinical movement
analysis process:
a. Understand specialized movement analysis laboratory design and
instrumentation considerations for the rehabilitation setting.
b. Have knowledge of a motion laboratory's capabilities (be a better
consumer).
c. Have detailed knowledge of the C3D data file contents and format.
d. Gain knowledge and experience with the biomechanical model building
process.
e. Effectively merge the patient assessment, test preparation and
movement data collection process.
f. Incorporate and accommodate assistive technologies in the analysis.
g. Develop and execute manual and automated motion data preprocessing
and analysis steps.
h. Understand the rehabilitation focused data reporting process.
i. Relate muscular effort to overall task performance.
l. Relate movement demands to a patient's capability.

Information about faculty, topics and organization of the course, lodging
and registration are reported in our web-site: www.medea-italia.it . For
further assistance please do not hesitate to contact us at the address
indicated below.

Looking forward to meeting you in Florence,
Best regards
Dr. Francesco Benvenuti

*********************************************
Dr. Francesco Benvenuti,
Laboratorio di Fisiopatologia e Riabilitazione del Movimento
U.O. di Geriatria, INRCA,
Viale Michelangiolo 41,
50125 Firenze, Italy
Tel. +39-055-6577253; +39-055-65771
Fax. +39-055-6577413
e-mail: lab.inrca@dada.it
bevenuti@dinonet.it
www.medea-italia.it
*********************************************










It is with great excitement that the Laboratorio di
Fisiopatologia eRiabilitazione del Movimento of the Geriatric Department of
the ItalianNational Research Centre on Ageing (INRCA) of Florence, Italy,
wishes toannounce the instructional course:CLINICAL MOVEMENT
ANALYSIS FOR REHABILITATION MEDICINEFlorence, Italy, 26 November - 1
December 2000Staff from the BIOMECHANICS LABORATORY at the
NATIONAL INSTITUTES
OF HEALTH (NIH) and the DIPARTIMENTO DI SCIENZE BIOMEDICHE
of the UNIVERSIT└ DEGLI STUDI DI SASSARI have
agreed to open this
training opportunity to the public. The program of
the course is designed
for physical medicine physicians, orthopedists,
neurologists, geriatricians,
physical therapists, kinesiologists, bioingeneers
and computer scientists.
Staff from the Biomechanics Laboratory at the
National Institutes of Health will beparticipating in this course as
non-paid instructors under a broad researchcooperation between the United
States of America and the Italian government.Please note, the number of
course participants is STRICTLY LIMITED in orderto maintain a personalized
hands-on experience. The official language of thecourse will be English. No
translation will be provided.Rehabilitation specialists must have
understanding of how impairments of theneuromusculoskeletal system translate
into movement disorders and ultimatelyinto physical disabilities. Clinical
movement analysis is rapidly evolvinginto an important tool for assisting
rehabilitation specialists in theirquest to achieve optimal patient function
- for it provides valuable cluestowards our understanding of the
trans-domain cause and effect relationshipthat relates impairments to
functional movement limitations and physicaldisabilities.The course
contains two challenging parallel instructional tracks bothhaving emphasis
on experiential learning through practical laboratoryexperiences. The
clinical group will receive special instruction oncombining patient
assessment information and rehabilitation focused clinicalmovement analysis
data for a clearer understanding of a patient's movementperformance status
and the evaluation and enhancement of variousrehabilitation interventions.
The technical group will receive specialinstruction on the configuration and
evaluation of movement analysis systemsand the matching of advanced movement
modeling and analysis capabilitieswith the unique needs of rehabilitation
clinicians. Participants from bothtracks will be combined frequently to
create evaluation teams that will beasked to perform challenging assessments
on mock patient cases.The primary course objective is to teach both
clinical and technicalparticipants a set of rehabilitation-focused clinical
movement analysistechniques and introduce participants to several future
motion analysismethods. The established movement analysis techniques are
based on thegeneralized six degree-of-freedom movement analysis tools
implemented in theBiomechanics Laboratory at the National Institutes of
Health. The futuremethods include induced acceleration analysis and
computer-based movementsimulation. Participants will experience hands-on
training with a powerfulset of computer visualization tools designed to
significantly enhance thebasic capabilities of the NIH Move3D public domain
software package.Following the course participants should:1.
Comprehend and articulate the rehabilitation domains defined by theNational
Center for Medical Rehabilitation Research (NCMRR).2. Understand the role
movement analysis plays within the NCMRRrehabilitation model.3. Be
capable of implementing the rehabilitation-focused clinical movementanalysis
process:     a. Understand specialized movement analysis
laboratory design andinstrumentation considerations for the rehabilitation
setting.     b. Have knowledge of a motion laboratory's
capabilities (be a betterconsumer).     c. Have
detailed knowledge of the C3D data file contents and
format.     d. Gain knowledge and experience with the
biomechanical model buildingprocess.     e.
Effectively merge the patient assessment, test preparation andmovement data
collection process.     f.  Incorporate and
accommodate assistive technologies in the analysis.    
g. Develop and execute manual and automated motion data preprocessingand
analysis steps.     h. Understand the rehabilitation
focused data reporting process.     i. Relate muscular
effort to overall task performance.     l. Relate
movement demands to a patient's capability.Information about faculty,
topics and organization of the course, lodgingand registration are reported
in our web-site: www.medea-italia.it .
Forfurther assistance please do not hesitate to contact us at the
addressindicated below.
Looking forward to meeting you in
Florence,Best regardsDr. Francesco
Benvenuti***************************************** ****Dr. Francesco
Benvenuti,Laboratorio di Fisiopatologia e Riabilitazione del
MovimentoU.O. di Geriatria, INRCA,Viale Michelangiolo 41,50125
Firenze, ItalyTel.  +39-055-6577253;  +39-055-65771Fax.
+39-055-6577413e-mail: lab.inrca@dada.it        
bevenuti@dinonet.itwww.medea-italia.it***************************************** ****