Deutsch Intern
    Institute of Computer Science



    Im Sommersemester 2017 findet auf Einladung von Prof. Dr. Sebastian von Mammen der folgende Vortrag statt:

    Montag, 12. Juni 2017, 16.15 Uhr, Turing Hörsaal

    Prof. Dr. Shellie A. Boudreau
    Associate Professor
    SMI, Department of Health Science and Technology
    Aalborg University

    Shellie A. Boudreau is a biomedical engineer who became fascinated with the study of pain and neurophysiology. Shellie A. Boudreau holds an Associate Professorship at the Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, Aalborg University. Most recently, Shellie A. Boudreau expanded her interests from musculoskeletal pain into eHealth technologies as the introduction of computer tablets and smartphone applications into healthcare clinics and institutions continues to receive relatively little resistance. As many may be aware, eHealth technologies are enabling an unprecedented amount of data to be captured, stored and analyzed. Therefore, Shellie A. Boudreau will give a lecture entitled:

    Spatiotemporal mapping of pain and non-pain symptoms as captured using electronic body charts

    Pain and discomfort are invisible and complex experiences that account for the number one reason why people seek medical attention. To date, we have a number of advanced methods, such as radiography (X-rays) and magnetic resonance imaging (MRI), which enable us to look inside the body and generate an image in order to help source the driving mechanisms of pain and discomfort. When considering the benefits and knowledge gained by capturing and analyzing these health images it seems quite logical to start capturing and documenting the invisible and complex experiences of self-reported pain that, perhaps, justified the use of these advanced imaging methods in the first place. The focus of this lecture will be the introduction of Navigate Pain, a digital body mapping software application for capturing detailed information about the spatial and temporal aspects of self-reported pain and non-pain symptoms. Additionally, novel insights already gained by way of digitally mapping the spatial distribution of pain in select pathologies or syndromes will be presented and discussed. In conclusion, the future direction of digital body mapping and the importance of developing supporting analytics to assess these body maps so as to provide clinically relevant insight into the invisible and complex experiences of pain will be elaborated and opened for debate.