Medical Engineering
Degree Programme
and RD Center
Jukka Jauhiainen
Principal lecturer, PhD
Head of the Degree Programme
R&D and Education
The degree programme
 Started 1998
 Intake about 30
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students / year
4 year programme, 240
ECTS
Total number of
students inside today is
about 110
Three full-time teachers
More teachers from the
Information Technology
degree programme
Description
 Based on information
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technology and
telecommunications
Also courses on health care
and related subjects
Technological aids for the old,
disabled etc.
Usability and ergonomics
Human - technology
interaction
Telemedicine and telecare
Contents
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Compulsory basic and professional
studies
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Foreign languages 6 ECTS
Mathematics, physics,
chemistry 27 ECTS
R&D 15 ECTS
Health care 9 ECTS
Programming 11 ECTS
Telecommunications 17 ECTS
DSP 14 ECTS
Electrical engineering /
electronics 21 ECTS
Optional professional studies
 Home care
technology 20 ECTS
 User-centered
design
 Assistive
technologies
Optional professional studies
 Hospital techology
20 ECTS
 Medical
engineering
equipment
 Digital image
processing
 Telemedicine
Training and thesis
 Training 30 ECTS
 Optional studies 15 ECTS
 Bachelor’s thesis 15 ECTS
Afterlife
•About 80 graduates between 2002 – 2005
•A follow-up study in 2004 (56 graduates):
•About 40 % were working in medical
engineering
•About 10 % were unemployed
•The rest were either studying further or not in
medical engineering or related jobs.
•Both public (e.g. hospitals) and private (mainly
Oulu-area companies) sector
Examples of bachelor’s theses
 Image archive (PACS) design works for Oulu University
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Hospital
Image segmentation tool for Radiology Department
” Workflowanalyse für telemedizinische Anwendung ”
(made in Germany)
Heart rate monitor-related works
Air fighter pilot acceleration studies, related to head and
neck forces during high G’s
EMG measurements and analysis-related works
And many more … 
R&D Center for Medical
Engineering
 Started 2003,
funding until the end
of 2006
 2 full time research
positions divided
between 5 part-time
researchers (2 PhD,
3 MSc)
 1 full time laboratory
engineer
Working model
 Serves small to middle sized companies
in the Oulu region
 Different phases of product development
 Up-to-date hardware and software
 Centralized R&D and testing
environment
 Multidisciplinary network of consulting
specialists
 Saves money and time in the product
development processes
In collaboration with
 Oulu Polytechnic
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Institute of
Technology
Business School
School of Social and
Health Care
Funding: Development
 1.1.2004 – 31.12.2006
 480 k€
 Mainly personnel salaries and travel costs
 ERDF (European Regional Development Fund)
 Oulu Provincial Government
 City of Oulu
 Oulu Polytechnic
 Private funding
Funding: Investments
 1.11.2003 – 31.12.2006
 730k€
 Equipment
 ERDF
 Northern Osthrobotnia Employment
and Economic Development Center
 Oulu Polytechnic
 City of Oulu
 Companies
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Innokas Medical Ltd.
Respecta Ltd.
Main areas of expertise
 Biosignal measurements
and signal analysis
 Usability and ergonomics
 Prototypes and testing
Equipment in biosignal
measurements
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Gaitrite: walking analysis
Technogym Runrace:
running mat
Polar heart rate monitors
and computers
Ergoline Ergoselect test
ergometer
Equipment in usability and
ergonomics
 The Observer Video-Pro and
mobile usability unit
 Tobii 1750 Eye Tracker
Equipment in prototypes and
testing
 FDM Vantage – Rapid
prototyping machine
 BoundaryScan –
Electrical circuit testing
system
Medical engineering laboratory
 Electrical workbench for
testing and building
measurement electronics
 Usability unit
 EM-shielded room
Usability unit
Tobii Eye Tracker
 Can be used to
determine what the
user actually looks at
when using a
computer program or
seeing a web page or
video clip etc.
Rapid medical modeling
 Based on Rapid
Prototyping Technology.
 The production process is
controlled by 3D
radiological images of the
patient's anatomy
 Photolitographic
technique produces
plastic model of the 3D
image
Rapid medical models can be
used
•For surgical planning and
simulation
•For custom made implant
design
•For medical education and
research
•As a communication aid for
patients and colleagues
Rapid prototyping
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In co-operation with Oulu University
Hospital, Department of Diagnostic
Radiology and Oulu Polytechnic,
Institute of Technology.
 Data is converted to SLC or STL file
format.
 Data transter to Oulu Polytechnic
where data is reformatted for
modeling.
 Maximum model size using SLA
250 stereolithography equipment is
250 x 250 x 250
The model is delivered in two
weeks after receiving the data.
ONE REPETITION MAXIMUM PREDICTION FROM A SUBMAXIMAL
PERFORMANCE IN WEIGHT LIFTING
Manne Hannula, Jukka Jauhiainen and Sami Äijälä
 An example of an ”own” research project of the RD Center
 Patent pending
 The use of acceleration sensors to estimate how much weight
can be lifted once
 Bench press and dumbbell concentration curl
 30 subjects
 Mean absolute error less than 10 %
Thank You
 Further information:
[email protected] (biosignals)
[email protected] (usability)
[email protected] (rapid prototypes)
[email protected](circuits testing)
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Medical Engineering at Oulu Polytechnic