FERI logo
  Logo UM
iMOVE
Extraction of information on muscle control during movements
7FP logo  
EU logo  

iMOVE - Extraction of information on muscle control during movements

Project duration: February 2009 - January 2012

Electrical properties of muscles have been under intense scientific and clinical investigation for decades. From the neurophysiologic point of view, it is essential to achieve a deeper understanding of neuromuscular alterations and of their relation to work condition, immobilization, overtraining and microgravity. Measurable indicators of incipient degeneration, effectiveness of treatment, and preventive actions are required to practice evidence based medicine, rehabilitation and training of athletes.

Technical difficulties associated with recording and analysis of electromyograms have limited the accuracy with which the characteristics of individual motor units can be established during movements. The existing information extraction techniques have mainly been applied to the isometric muscle contractions, with the muscle geometry kept constant during the measurement session. On the other hand, the contractions of human muscles are almost always dynamic, with the muscle moving with respect to the skin.

The main objective of the iMOVE project is to design and implement automated signal processing techniques capable of extracting the information about the individual motor units from the dynamic surface electromyograms recorded during controlled dynamic contractions of skeletal muscles, to study the feasibility, efficiency and repeatability of information extraction during movements, and to define the recommendations for sensors, sensor placement and signal processing in dynamic conditions. Possible collateral applications of the proposed project include objective assessment of effectiveness of rehabilitation and training of athletes, prevention of work-related neuromuscular disorders and diseases, and monitoring of the musculoskeletal deterioration in the microgravity environment.

Project coordinator:
Prof. Damjan Zazula,
University of Maribor,
Faculty of Electrical Engineering and Computer Science,
Smetanova ulica 17,
2000 Maribor, Slovenia
phone: +386 2220 7480
fax: +386 2220 7272
e-mail: zazula@uni-mb.si
web: http://storm.uni-mb.si/
Marie Curie fellow:
Dr. Aleš Holobar,
Assistant Professor,
University of Maribor,
Faculty of Electrical Engineering and Computer Science,
Smetanova 17, 2000 Maribor, Slovenia
phone: +386 2220 7485
fax: +386 2220 7272
e-mail: ales.holobar@uni-mb.si
web: http://storm.uni-mb.si/


Marie Currie logo
iMOVE project is supported by a Marie Curie European Reintegration Grant within the 7th European Community Framework Programme
(Contract No. 239216)
SSL, Faculty of Electrical Engineering and Computer Science, University of Maribor
Smetanova 17, SI-2000 Maribor, Slovenia