An adjoint approach to identification in Electromyography: Modeling and first order optimality conditions
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Abstract In medical treatment, it can be necessary to know the position of a motor unit in a muscle. Recent advances in high-density surface Electromyography (EMG) measurement have opened the possibility of extracting information about single motor units. We present a mathematical approach to identify these motor units. On the base of an electrostatic forward model, we introduce an adjoint approach to efficiently simulate a surface EMG measurement and an optimal control approach to identify these motor units. We show basic results on existence of solutions and first-order optimality conditions.
2018 ◽
Vol 129
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pp. 1634-1641
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2014 ◽
Vol 112
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pp. 1685-1691
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2015 ◽
Vol 25
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pp. 1550024
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2001 ◽
Vol 26
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pp. 565-582
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2003 ◽
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pp. 371-386
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1981 ◽
Vol 78
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pp. 277-293
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2008 ◽
Vol 99
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pp. 2232-2240
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2009 ◽
Vol 5
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pp. 851-866
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2018 ◽
Vol 13
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pp. 585-607
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