Searched for: subject%3A%22System%255C%252BIdentification%22
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van den Berg, Boudewijn (author), Manoochehri, M. (author), Kasting, Mindy (author), Schouten, A.C. (author), van der Helm, F.C.T. (author), Buitenweg, Jan R. (author)
A sustained sensory stimulus with a periodic variation of intensity creates an electrophysiological brain response at associated frequencies, referred to as the steady-state evoked potential (SSEP). The SSEPs elicited by the periodic stimulation of nociceptors in the skin may represent activity of a brain network that is primarily involved in...
journal article 2021
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Tian, Runfeng (author), Yang, Y. (author), van der Helm, F.C.T. (author), Dewald, J.P.A. (author)
The human nervous system is an ensemble of connected neuronal networks. Modeling and system identification of the human nervous system helps us understand how the brain processes sensory input and controls responses at the systems level. This study aims to propose an advanced approach based on a hierarchical neural network and non-linear...
journal article 2018
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van de Ruit, M.L. (author), Cavallo, Gaia (author), Lataire, John (author), van der Helm, F.C.T. (author), Mugge, W. (author), van Wingerden, J.W. (author), Schouten, A.C. (author)
During movements, humans continuously regulate their joint impedance to minimize control effort and optimize performance. Joint impedance describes the relationship between a joint's position and torque acting around the joint. Joint impedance varies with joint angle and muscle activation and differs from trial-to-trial due to inherent...
journal article 2018