Abstract: In order to provide an active muscle display unit that extracts a firing pattern of the individual motor unit without applying a load to living organisms and display the extracted motor unit, the active muscle display unit comprises multiple electrodes that are arranged on a skin surface, a surface electromyogram measuring part that measures a surface electromyogram on the skin surface at the multiple electrodes, a motor unit separating part that estimates the individual motor unit constituting an active muscle based on the surface electromyogram measured by the surface electromyogram measuring part, a motor unit position estimating part that estimates a three-dimensional position of the firing motor unit based on the motor unit estimated to be the firing motor unit by the motor unit separating part, and a display part that displays the motor unit estimated by the motor unit position estimating part in an image.

Abstract: In order to provide an active muscle display unit that extracts a firing pattern of the individual motor unit without applying a load to living organisms and display the extracted motor unit, the active muscle display unit comprises multiple electrodes 1 that are arranged on a skin surface, a surface electromyogram measuring part 32 that measures a surface electromyogram on the skin surface at the multiple electrodes 1, a motor unit separating part 33 that estimates the individual motor unit constituting an active muscle based on the surface electromyogram measured by the surface electromyogram measuring part 32, a motor unit position estimating part 35 that estimates a three-dimensional position of the firing motor unit based on the motor unit estimated to be the firing motor unit by the motor unit separating part 33, and a display part 38 that displays the motor unit estimated by the motor unit position estimating part 35 in an image.

Abstract: The present invention enable to separate source signals from mixture signals into which the source signals are mixed temporally and spatially, where the number of source signals is more than or equal to the number of mixture signals. A signal storing portion 12 stores the mixture signals input into a signal input portion 11, and a formulation portion 131 in a signal separation portion 13 extracts the mixture signals stored in the signal storing portion 12 and formulates them as an operation expression using a basis matrix composed of plural small matrixes that consist of bases with time symmetry. A learning algorithm application portion 132 applies a learning algorithm based on overcomplete representations, a mixture matrix calculating portion 133 calculates a mixture matrix, a source signal estimating portion 134 estimates source signals separated from the mixture signals, and an output portion 14 outputs the calculated mixture matrix and the estimated source signals.

Abstract: The present invention enable to separate source signals from mixture signals into which the source signals are mixed temporally and spatially, where the number of source signals is more than or equal to the number of mixture signals. A signal storing portion 12 stores the mixture signals input into a signal input portion 11, and a formulation portion 131 in a signal separation portion 13 extracts the mixture signals stored in the signal storing portion 12 and formulates them as an operation expression using a basis matrix composed of plural small matrixes that consist of bases with time symmetry. A learning algorithm application portion 132 applies a learning algorithm based on overcomplete representations, a mixture matrix calculating portion 133 calculates a mixture matrix, a source signal estimating portion 134 estimates source signals separated from the mixture signals, and an output portion 14 outputs the calculated mixture matrix and the estimated source signals.