|Title:||Morphological control as guiding principle in physiology and medical applications|
|Authors :||Füchslin, Rudolf Marcel|
Hunt, Kenneth J.
Luchsinger, Rolf H.
|et. al :||No|
|Conference details:||Int. Workshop on Soft Robotics and Morphological Computation, Ascona, Switzerland, 19. Juli 2013|
|License (according to publishing contract) :||Licence according to publishing contract|
|Type of review:||Not specified|
|Subjects :||Morphoological computation; Physiology; Prothetics; Cancer|
|Subject (DDC) :||610: Medicine and health |
|Abstract:||Today, the concept of morphological computation, i.e. the idea that the control of a system is at least partially embodied in its functional physical or chemical dynamics, has become a well - established approach in robotics. Novel designs that exhibit robust behavior and adaptability result from a blurring of the distinction between hard- and software. Such designs are often inspired by biology: Not only by the means (i.e. materials) of nature but also by the ways (organizational principles) nature employs. Remarkably, morphological control connects technology and biology in a bi – directional manner. We apply the concepts of morphological control in order to support, complement and substitute physiological processes in medical problem settings. Thereby, we exploit the ideas of morphological control in systems on different length scales and governed by classical as well as statistical mechanics. In a first group of investigations, we aim at the implementation of an inflatable support system for patients with movement impairments. Quite often, the loss of the ability to control one’s movements is interpreted as a decrease of the computational power of neural system. Based on experimental evidence, we hypothesize that at least in some cases neural control is still at its full power. But due to changes of the mechanical properties of the aging body, the control problem has become more difficult, i.e. the body experiences a decrease of its morphological control power. By the use of inflatable exoskeletal devices, we aspire to influence the mechanical properties of the body in such a manner that morphological control is re – established. The inflatable structures we employ are based on the “tensairity” principle. Recent research demonstrated the feasibility of actuated soft structures based on tenairity. In that sense, soft robotics meets morphological control in the medical field. On the microscopic level, we focus on cell – dynamics. We assume the cell as a system that is controlled by the genetic apparatus as well as its mesoscopic structure. The chemical networks (as well as supramolecular and membrane structures) constitute a complex dynamical system with an attractor landscape. Genetic signals may push the cell from one basin of attraction into another one or influence the attractor landscape. Based on this approach, we study the effect of synergistic therapies in oncology (hyperthermia – radio therapy) and formulate models that allow an optimization of these therapies. The models we use are based on a small number of phenomenological parameters which can be mapped on those parameters determining the details of the therapy applied. The main problem we are presently addressing is whether our basic assumption, namely that the generically high – dimensional dynamics of the cell can be represented by a low – dimensional model, is really justified and how we have to choose the parameters of the model such that an optimization can be achieved.|
|Further description :||Keynote lecture|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Applied Mathematics and Physics (IAMP)|
|Publication type:||Conference Other|
|Appears in Collections:||Publikationen School of Engineering|
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