Neuromuscular Assessment in the Elderly Worker
Project of the EU 5th Framework Programe
The System Software
Laboratory contributes to the NEW project mainly with the expertise in
advanced signal processing and software technologies for proprietary
independent data exchange and storage.
Clinical importance of surface EMG depends on sophisticated computer algorithms, in particular for the EMG decomposition to the fundamental building blocks in the form of innervation pulse trains and motor-unit action potentials (MUAPs).
In the previous projects, we applied the following
EMG decomposition approaches:
The focus in conjunction with the NEW project is on the development of
thorough SEMG decomposition methods:
|The fraction of people older than 60 that are still working in the EC in now
22 % and is expected to grow to 30 % by 2025.As life expectancy and
retirement age increase, health statistics indicate an increased incidence
of work related neuromuscular disorders and a need to study them. The
information contained in the electrical and mechanical signals generated by
muscles of the hand, wrist, arm, neck and shoulder regions will provide
means for addressing the problem.
Project's official site: http://www.lisin.polito.it/new/
|Roberto Merletti, Politecnico di Torino, Italy|
|12 European institutions (10 academic, 2 industrial), involved in SEMG research|
|Participating SSL researchers|
|Prof. Dr. Damjan Zazula, Dr. Dean Korošec, Dr. Aleš Holobar|