• DocumentCode
    1399620
  • Title

    Early recognition of postural disorders in multiple sclerosis through movement analysis: a modeling study

  • Author

    Corradini, Maria Letizia ; Fioretti, Sandro ; Leo, Tommaso ; Piperno, Roberto

  • Author_Institution
    Dipt. di Elettronica e Autom., Ancona Univ., Italy
  • Volume
    44
  • Issue
    11
  • fYear
    1997
  • Firstpage
    1029
  • Lastpage
    1038
  • Abstract
    In the present study, spontaneous postural behavior has been analyzed in freely standing multiple sclerosis (MS) patients, exhibiting no clinically assessable abnormalities of postural control. This population has been compared with two other groups, healthy people and hemiparetic patients. This latter group represents a situation where the central nervous system (CNS) lesion is precisely localized in one anatomical site and no signal-conduction disorders are present; i.e., it has an opposite anatomical character with respect to the MS at a preclinical stage. The hypothesis underlying the modeling study is the presence of a controller block working in a feedback posture control system. This controller block receives the body sway as input, and produces the corresponding ankle torque stabilizing the body, the latter being modeled as an inverted pendulum. The CNS damage, caused by MS, is supposed to be reflected in some detectable change in the structure of the controller of the posture control system. The identification of the controller has been performed by means of a parametric estimation procedure which employed as input sequences, data recorded by means of a movement-analysis (MA) system. Reported findings show a structural change of the model of the controller block in the posture control system. This result may suggest the presence of an MS-specific reorganization of the posture control system. Some speculation is finally made on the black-box approach in comparison with traditional posturography, to arrive at hypothesizing a progression path for postural disorders.
  • Keywords
    biocontrol; biomechanics; neurophysiology; parameter estimation; physiological models; anatomical character; ankle torque; black-box approach; body sway; central nervous system lesion; clinically assessable abnormalities; controller block; feedback posture control system; healthy people; hemiparetic patients; input sequences; inverted pendulum; movement analysis; multiple sclerosis; parametric estimation procedure; postural control; postural disorders early recognition; preclinical stage; progression path; signal-conduction disorders; spontaneous postural behavior; Biomedical informatics; Central nervous system; Control system synthesis; Control systems; End effectors; Feedback; Humans; Lesions; Multiple sclerosis; Torque control; Adult; Algorithms; Feedback; Female; Hemiplegia; Humans; Male; Models, Biological; Movement; Multiple Sclerosis; Posture;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.641330
  • Filename
    641330