Statistics – Applications
Scientific paper
Oct 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005esasp1290..364m&link_type=abstract
In: Microgravity applications programme: Successful teaming of science and industry. Edited by Andrew Wilson, coordination: Benn
Statistics
Applications
Life Sciences
Scientific paper
After the first 3 years (2002-2005), the MAP project has made available: - systems fo electrodes, signal conditioning and digital processing for multichannel simultaneously-detected EMG and MMG as well as for simultaneous electrical stimulation and EMG detection with artifact cancellation. - innovative non-invasive techniques for the extraction of individual motor unit action potentials (MUAPS) and individual motor and MMG contributions from the surface EMG interference signal and the MMG signal. - processing techniques for extractions of indicators of progressive fatigue from the electrically-elicited (M-wave) EMG signal. - techniques for the analysis of dynamic multichannel EMG during cyclic or explosive exercise (in collaboration with project EXER/MAP-MED-027).
di Prampero Pietro E.
Merletti Roberto
Orizio Claudio
Tesch Per
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