• DocumentCode
    3175506
  • Title

    Diagnosis parameters used in treatment prediction of the lumbar spine

  • Author

    Diana, Andrei ; Dan, Nemes ; Toth-Tascau, Mirela ; Stoia, Dan Ioan

  • Author_Institution
    Univ. of Med. & Pharmacy Victor Babes, Timisoara, Romania
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    The paper proposes to define three parameters that can be associated with lumbar spine diagnosis. These parameters will further be used in a prediction software that aims to establish a treatment indication in the early stages of the medical exploration. These parameters quantifies very different conditions of the patient: pain - a very subjective parameter; the calories consumed in one day - measurable value; biomechanical parameters like range of motion in lumbar spine and postural angle - measurable parameter. These parameters have to be interconnected and therefore recordings before and after surgery and treatment have to be made. The interconnection of those represents a challenging task that requires a large patient´s database from which the statistics can be computed. Another cornerstone in interconnection is the lake of biomechanical statistics on the lumbar spine pathologies.
  • Keywords
    medical diagnostic computing; patient diagnosis; biomechanical parameter; biomechanical statistics; lumbar spine diagnosis parameters; lumbar spine pathology; lumbar spine treatment prediction; measurable parameter; measurable value parameter; medical exploration; pain parameter; prediction software; Back; Biomechanics; Diseases; Medical diagnostic imaging; Pain; Spine; Surgery; diagnosis parameters; low back pain; parameter interconnection; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-6397-6
  • Type

    conf

  • DOI
    10.1109/SACI.2013.6608968
  • Filename
    6608968