title: Computed myography (CMG): three dimensional reconstruction of motor functions from surface EMG data.
abstract: We describe a methodology to qualitatively and quantitatively determine the activation level of individual muscles by voltage measurements from an array of voltage sensors on the skin surface. A physical finite element model for electrostatics simulation is constructed from morphometric data and numerical inversion techniques are used to determine muscle activation patterns. Preliminary results from experiments with simulated and human data are presented for activation reconstructions of three muscles in the upper arm (biceps brachii, bracialis, and triceps). This approach potentially offers a new clinical tool to sensitively assess muscle function in patients suffering from neurological disorders (e.g., spinal cord injury) and could more accurately guide advances in the evaluation of specific rehabilitation training regimens.
authors.affiliation: Department of Computer Science, University of British Columbia, Canada.
authors.forename: Kees
authors.initials: K
authors.lastname: van den Doel
authors.forename: Uri M
authors.initials: UM
authors.lastname: Ascher
authors.forename: Armin
authors.initials: A
authors.lastname: Curt
authors.forename: John
authors.initials: J
authors.lastname: Steeves
authors.forename: Dinesh K
authors.initials: DK
authors.lastname: Pai
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*