Mahsa A. Golkar

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The dynamic relationship between surface EMG (sEMG) and torque can be estimated from data acquired while subjects voluntarily modulate joint torque. We have shown that for such data, the input (EMG) contains a feedback component from the output (torque) and so accurate estimates of the dynamics require the use of closed-loop identification algorithms.(More)
The dynamic relationship between the joint position and reflex EMG in ankle muscles of healthy human subjects was studied for time-varying (TV) contractions. A linear parameter varying (LPV) identification algorithm was used to estimate the Hammerstein system relating ankle position to the reflex EMG response. The estimated Hammerstein system comprised a(More)
Joint stiffness has been extensively used to study joint biomechanics. It can be described by a block-oriented, nonlinear, parallel-cascade structure under quasi-stationary conditions defined by the joint operating point. The model parameters are modulated dramatically during functional tasks where the joint operating point is varied with time. This paper(More)
This paper proposes a complete distributed model for investigating both the induced shaft voltage and bearing current in turbo generators due to the interaction with their static excitation systems. This affects the insulations gradually, leading to a possible electrical discharge current when the shaft voltage exceeds the dielectric breakdown voltage level(More)
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