Print Email Facebook Twitter Design of test signals for identification of neuromuscular admittance Title Design of test signals for identification of neuromuscular admittance Author Bhoelai, A.K. van Paassen, M.M. (TU Delft Control & Simulation) Abbink, D.A. (TU Delft Biomechatronics & Human-Machine Control) Mulder, Max (TU Delft Control & Operations) Contributor Sawaragi, T. (editor) Department Control & Operations Date 2016 Abstract The human neuromuscular system can be seen as a versatile and extremely adaptive actuator. Through co-contraction and reex modulation, the properties of the neuromuscular system can be modified, leading to a change in movement response to externally applied forces. These properties are normally expressed in the form of the neuromuscular admittance. In a series of standard tasks, the force-, relax-, and position-task admittance of the neuromuscular system can be identified. However, the test signals used in these tasks can also limit the range of reex adaptation possible and wrong choice can create a phenomenon analogous to cross-over regression in manual control tasks, and force the human to use only a limited range of the possible reex adaptation. This paper presents a systematic investigation, through a model study, of the inuence of test signals on the range of reex adaptation. For this, criteria for test signal acceptability have been developed. The method is applied to the currently used test signals consisting of a high and a low shelf, and enables the selection of the high shelf bandwidth. To reference this document use: http://resolver.tudelft.nl/uuid:84fbd30a-0139-4fce-b754-79824b18243c DOI https://doi.org/10.1016/j.ifacol.2016.10.544 Publisher Elsevier, Laxenburg. Austria Source IFAC-PapersOnLine: 13th IFAC Symposium on Analysis, Design, and Evaluation ofHuman-Machine Systems HMS 2016, 49 (19) Event 13th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 2016-08-30 → 2016-09-02, Kyoto, Japan Series IFAC-PapersOnLine, 2405-8963, 49 (19) Part of collection Institutional Repository Document type conference paper Rights © 2016 A.K. Bhoelai, M.M. van Paassen, D.A. Abbink, Max Mulder Files PDF IFAC2016_Boelai.pdf 519.17 KB Close viewer /islandora/object/uuid:84fbd30a-0139-4fce-b754-79824b18243c/datastream/OBJ/view