Title :
Detecting Bioelectric Muscle Activity Corrupted by Superimposed Magnetic Resonance Field
Author :
La Foresta, Fabio ; Morabito, Francesco Carlo ; Azzerboni, Bruno ; Ipsale, Maurizio
Author_Institution :
Fac. of Eng., Reggio Calabria Mediterranea Univ.
Abstract :
Most of clinical measurements base their functionality on bioelectromagnetism, in particular in the measurements of the electric or magnetic signals produced by the activity of living tissues. The surface electromyography (sEMG) analysis is able to reveal the electric field generated by each muscle activity, whereas the magnetic resonance imaging (MRI) allows to obtain some images of the human body with very high resolutions, interpreting a magnetic field emitted after stimulation. The joint measurement is a very difficult task because of the high electromagnetic interference between the resonance coils (very high magnetic fields) and the EMG electrodes, that makes unrevealed the sEMG signal. In this paper we present a method to reveal sEMG signal in voluntary contractions when the measurement is made in a MRI environment
Keywords :
biomedical MRI; electromagnetic interference; electromyography; MRI; bioelectric muscle activity detection; bioelectromagnetism; clinical measurements; electric field generation; electromagnetic interference; magnetic resonance imaging; magnetic signals; superimposed magnetic resonance field; surface electromyography analysis; Bioelectric phenomena; Electric variables measurement; Electromagnetic measurements; Electromyography; Image analysis; Magnetic field measurement; Magnetic resonance; Magnetic resonance imaging; Muscles; Particle measurements;
Conference_Titel :
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
1-4244-0320-0
DOI :
10.1109/CEFC-06.2006.1632926