Page 68 - ASME DSCC 2015 Program
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Technical Program




              A Control-oriented Model of Blood Volume Response to Hemorrhage   objective Quantitative Assessment of Movement Disorders Through
              and fluid Resuscitation                                Analysis of Static Handwritten Characters
              Invited session paper. DSCC2015-9847                   Invited session paper. DSCC2015-9974
              Ramin Bighamian, Jin-oh Hahn, University of Maryland, College Park, MD,   Naiqian Zhi, Beverly jaeger, andrew gouldstone, rifat Sipahi,
              United States, Andrew T. Reisner, Massachusetts General Hospital, Boston,   Northeastern University, Boston, MA, United States, Samuel frank, Boston
              MA, United States                                      University Medical Center, Boston, MA, United States
              This paper presents a control-oriented model of blood volume response   Movement disorders associated with Essential Tremor (ET) and Parkinson’s
              to hemorrhage and fluid resuscitation that can be potentially utilized in   disease (PD) can negatively impact use of the upper limb for many precision
              closed-loop control of fluid resuscitation.  A unique characteristic of the pro-  tasks, including handwriting. Both ET and PD can be assessed through
              posed model is that it is built to ensure structural parsimony while retaining   clinical tests which are, however, relatively subjective. This assessment ap-
              physiological transparency.  To accomplish this characteristic, blood volume   proach possesses inherent logistical and resolution limitations. To address
              regulation in the body to external perturbations of hemorrhage and fluid   this, here we present objective computerized metrics intended to assess
              resuscitation was modeled as a low-order control system in which the fluid   and quantify the extent to which static writing samples display the effects of
              transfer between blood and interstitial fluid is governed by a proportion-  ET and PD. Specifically, these metrics are tested in their ability to mea-
              al-integral controller.  This in essence resulted in a minimal model with four   sure tremor by comparing unaffected writing samples with those affected
              parameters to be adapted to each individual.  The validity of the proposed   by artificially induced tremor on healthy subjects, and also by comparing
              model was tested using data available in the literature.  The results indicated   healthy writing samples with symptomatic writing samples collected from
              that the proposed model was able to reproduce the blood volume response   PD patients reporting micrographia. Our findings indicate that the present-
              to hemorrhage and fluid resuscitation with high fidelity: on the average, the   ed metrics can be utilized for assessment, leading to a toolset capable of
              prediction error was only 1.53 ± 11.5 %, thus strongly supporting our claim that   objectively monitoring static handwriting changes associated with symptom
              it can be used as viable basis for the design of closed-loop fluid resuscita-  variations in ET and/or PD patients.
              tion controllers.
                                                                     ConTRIBuTED SESSIon
              A Real-Time Brainwave Based neuro-feedback System for Cognitive   1-15-1  fA3  Adaptive and Intelligent Systems Control
              Enhancement                                            George Bellows E                       10:00am–12:00pm
              Invited session paper. DSCC2015-9855
              reza abiri, joseph McBride, xiaopeng Zhao, University of Tennessee,   Session Chair: Marcello Canova, Ohio State University
              Knoxville, TN, United States, Yang Jiang, University of Kentucky, Lexington,   Session Co-Chair: Benjamin Gruenwald, Missouri University of Science
              KY, United States                                      and Technology
              Brain Computer Interface (BCI) provides a pathway to connect the brain to
                                                                     A non-Conservative Approach for the Estimation of the Region of
              external devices. Neuro-rehabilitation provides advanced means to assist
                                                                     operation of uncertain Adaptive Control Systems
              people with movement disorders such as post-stroke patients and those
                                                                     Contributed regular paper. DSCC2015-9665
              with lost limbs. While much progress has been made in neuro-rehabilita-
              tion as assistive devices, few studies had examined mental rehabilitation   Mario luca fravolini, Antonio Moschitta, University of Perugia, Perugia,
              assisted by BCI such as memory training using neuro-enhancement. It   Italy, Tansel Yucelen, Benjamin Gruenwald, Missouri University of Science
                                                                     and Technology, Rolla, MO, United States
              should be noted that many patients with physical disabilities also suffer
              cognitive difficulties. On the other hand, cognitive decline can also be the   A challenging problem for Model Reference Adaptive Control Systems is the
              result of normal aging without brain injury nor diseases. Here, we propose   accurate characterization of the transient response in the presence of large
              a novel real-time brainwave BCI platform for enhancing human cognitive by   uncertainties. Early prior research by the authors has demonstrated that
              designing and employing a personalized neuro-feedback robot. Short-term   using a projection mechanism for parameters adaptation, the tracking error
              memory and attention are among the most important cognitive abilities   dynamics behaves as a linear system perturbed by bounded uncertainties.
              which manifest in many mental diseases. A social robot is integrated into   This has the advantage that the stability analysis can be cast in terms of a
              the BCI system to provide feedback based on individual’s brainwaves and   convex optimization problem with LMI constraints so that efficient numerical
              memory performance. As a simple scenario of memory task, real-time EEG   tools can be used for the adaptive controller design. A possible limitation of
              signals will be monitored during a visual object memory task. Our novel   the approach is that the design is restricted to quadratic control Lyapunov
              neuro-feedback system has great potential as a neuro-enhancing device for   functions that could produce conservative results in the estimation of robust
              cognitive rehabilitation.                              invariant regions for the adaptive system operation. In this paper this ap-
                                                                     proach is extended to arbitrary high degree polynomial Lyapunov functions
                                                                     by translating the design and performance requirements in terms of Sum of
                                                                     Square inequalities and then using SOS optimization tools for the design.
                                                                     In this effort the new SOS approach is introduced and compared with the
                                                                     previous one. A numerical example based on the short period longitudinal
                                                                     dynamics of the F16 aircraft is used to demonstrate the efficacy of the novel
                                                                     method.
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