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
Link To Document :
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