NDLI: Computation electrical variables induced by magnetic stimulation in 3D thigh model

Content Provider	IEEE Xplore Digital Library
Author	Moncada, M.E. Sarmiento, C. Martinez, A.
Copyright Year	2010
Description	Author affiliation: Fundación Clínica Valle del Lili, Institute of Clinical Research, Cali-Colombia, Colombia (Sarmiento, C.) \|\| INSTITUTO TECNOLOGICO METROPOLITANO, Research Center, Medellin-Colombia (Moncada, M.E.) \|\| Faculty of Health, School of Medicine, Orthopedics and Traumatology Section, Universidad del Valle, Cali-Colombia, Colombia (Martinez, A.)
Abstract	This paper presents the changes in the electrical variables induced in a 3D thigh model with femoral diaphyseal fracture when it is magnetically stimulated. Three cases with particular geometries of the models were considered: skin, muscle, cortical bone (CB), bone marrow, metal pin, and fracture shape. Fracture shape included electric properties for blood, cartilage, trabecular bone (TB), and cortical bone (CB), to represent the consolidation process. A Helmholtz coil was added to the thigh model as stimulation source. The stimulation signal was between 0.5 and 2 mT, and between 5 and 100 Hz. The results shown than induced electric signals were higher for a change in frequency than a change in magnetic field. An important dependence between frequency, magnetic field, fracture shape, and fracture properties was found. The result suggest that the consolidation process could be better if different magnetic stimulation levels were considered.
Starting Page	565
Ending Page	568
File Size	1109099
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Current density Magnetic fields Blood Computational modeling Bones Skin Muscles
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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