DIFFERENCES IN GAIT PATTERNS BETWEEN PATIENTS WITH SWEDD AND NORMAL SUBJECTS

Author:

KWON DO-YOUNG1,KWON YU-RI2,CHOI YOON-HYEOK3,HA JIN-YOUNG3,KIM SANG-HYUK3,EOM GWANG-MOON34,KIM JI-WON34

Affiliation:

1. Department of Neurology, Korea University College of Medicine, Ansan Hospital, Ansan City, Republic of Korea

2. BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea

3. School of Biomedical Engineering, Konkuk University, Chungju, Republic of Korea

4. BK21 Plus Research Institute of Biomedical Engineering, Konkuk University, Republic of Korea

Abstract

Whether gait assessment can distinguish patients with scans without evidence of dopaminergic deficit (SWEDD) from normal individuals remains unclear. In the present study, the gait patterns in SWEDD patients and normal individuals were investigated. 10 patients with SWEDD and 10 healthy normal subjects were recruited. A GaitRite linear walkway was used to quantitatively assess level walking. Eight spatiotemporal variables were selected for comparison between two groups. For statistical analysis, independent sample [Formula: see text]-tests were performed to compare between normal individuals and SWEDD patients. Compared with normal individuals, SWEDD patients exhibited a shorter step length ([Formula: see text]). In addition, SWEDD patients showed a wider distribution of heel-to-heel (HH) base of support compared with normal individuals ([Formula: see text]). SWEDD patients had a tendency to deteriorated gait speed ([Formula: see text]) and double-limb support cycle ([Formula: see text]). These results indicate that SWEDD patients adopted a walking strategy that utilized increased step length and width to compensate for deteriorated dynamic balance. These results indicate that quantitative gait assessment could be useful for more accurate diagnosis of SWEDD patients. In addition, understanding clinical features of SWEDD patients might contribute to efficient interventions.

Publisher

World Scientific Pub Co Pte Lt

Subject

Biomedical Engineering

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