scholarly journals Gait Pattern Classification of Children with Developmental Coordination Disorder

2002 ◽  
Vol 19 (3) ◽  
pp. 378-391 ◽  
Author(s):  
Sarah J. Woodruff ◽  
Connie Bothwell-Myers ◽  
Maureen Tingley ◽  
Wayne J. Albert
Keyword(s):  
Pattern Classification ◽  
San Diego ◽  
Developmental Coordination Disorder ◽  
Gait Pattern ◽  
Gait Patterns ◽  
Systematic Pattern ◽  
Walking Performance ◽  
Time Distance ◽  
Coordination Disorder

The purpose was to develop an index of walking performance and to examine gait pattern classifications of children with developmental coordination disorder (DCD). The San Diego database (Sutherland, Olshen, Biden, & Wyatt, 1988) provided data for our calculation of the index and for determining that the index was able to differentiate between gait variables of older (ages 3 to 7) and younger (ages 1 to 2.5) children comprising the database. We obtained cinematographical data on 17 biomechanical markers of 6 boys and 1 girl, ages 6 to 7, with DCD, during walking. Analysis of individuals with DCD gait patterns revealed that most had abnormal walking patterns. The means of the time/distance gait variables did not differ between children with DCD and San Diego children, ages 3 to 7. Children with DCD had much larger variances than other children, indicating no systematic pattern in individual gait differences.

Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke

2003 ◽  
Vol 18 (1) ◽  
pp. 114-125 ◽  
Author(s):  
Sara Mulroy ◽  
JoAnne Gronley ◽  
Walt Weiss ◽  
Craig Newsam ◽  
Jacquelin Perry
Keyword(s):  
Cluster Analysis ◽  
Pattern Classification ◽  
Gait Pattern ◽  
Late Recovery

scholarly journals Educator’s ability to identify students with coordination disorders: A review of literature

2017 ◽  
Vol 2 (3) ◽  
pp. 139
Author(s):  
Michalis Anastasiadis
Keyword(s):  
School Environment ◽  
Developmental Coordination Disorder ◽  
Learning Difficulties ◽  
School Intervention ◽  
Coordination Disorders ◽  
Movement Difficulties ◽  
Coordination Disorder ◽  
Specific Education ◽  
Specific Learning

According to research 5-7% of the total school population face motor learning difficulties such as Developmental Coordination Disorder (DCD). In addition to that, recent findings regarding comorbidity revealed that specific learning difficulties such as Dyslexia are very often co-exist with movement difficulties such as DCD. School environment seems to be an ideal setting for early identification, assessment and in-school intervention. Therefore, educators’ knowledge regarding DCD and their ability to identify and assess children with movement difficulties are crucial dimensions for an effective interventional management. The goal of the current paper was a review of the relative literature. The findings reveal that, without specific education, the educators have limited ability to recognize children with DCD. Furthermore, research has shown that well informed and educated educators can be very effective in identification and classification of students with movement difficulties. As a result, early intervention strategies can be developed and applied to help the students and their families. A review of the most commonly used identification instruments is also provided.

Gait pattern classification of healthy elderly men based on biomechanical data

2000 ◽  
Vol 81 (5) ◽  
pp. 579-586 ◽  
Author(s):  
Eric Watelain ◽  
Franck Barbier ◽  
Paul Allard ◽  
André Thevenon ◽  
Jean-Claude Angué
Keyword(s):  
Pattern Classification ◽  
Gait Pattern ◽  
Elderly Men ◽  
Healthy Elderly

scholarly journals Classification of Ankle Joint Stiffness during Walking to Determine the Use of Ankle Foot Orthosis after Stroke

2021 ◽  
Vol 11 (11) ◽  
pp. 1512
Author(s):  
Yusuke Sekiguchi ◽  
Keita Honda ◽  
Dai Owaki ◽  
Shin-Ichi Izumi
Keyword(s):  
Ankle Joint ◽  
Joint Stiffness ◽  
Hierarchical Cluster ◽  
Gait Pattern ◽  
Foot Orthoses ◽  
Gait Patterns ◽  
Ankle Foot Orthosis ◽  
Ankle Foot Orthoses ◽  
Foot Orthosis

Categorization based on quasi-joint stiffness (QJS) may help clinicians select appropriate ankle foot orthoses (AFOs). The objectives of the present study were to classify the gait pattern based on ankle joint stiffness, also called QJS, of the gait in patients after stroke and to clarify differences in the type of AFO among 72 patients after stroke. Hierarchical cluster analysis was used to classify gait patterns based on QJS at least one month before the study, which revealed three distinct subgroups (SGs 1, 2, and 3). The proportion of use of AFOs, articulated AFOs, and non-articulated AFOs were significantly different among SGs 1–3. In SG1, with a higher QJS in the early and middle stance, the proportion of the patients using articulated AFOs was higher, whereas in SG3, with a lower QJS in both stances, the proportion of patients using non-articulated AFOs was higher. In SG2, with a lower QJS in the early stance and higher QJS in the middle stance, the proportion of patients using AFOs was lower. These findings indicate that classification of gait patterns based on QJS in patients after stroke may be helpful in selecting AFO. However, large sample sizes are required to confirm these results.

scholarly journals Automatic classification of gait in children with early-onset ataxia or developmental coordination disorder and controls using inertial sensors

2017 ◽  
Vol 52 ◽  
pp. 287-292 ◽  
Author(s):  
Andrea Mannini ◽  
Octavio Martinez-Manzanera ◽  
Tjitske F. Lawerman ◽  
Diana Trojaniello ◽  
Ugo Della Croce ◽  
...  
Keyword(s):  
Early Onset ◽  
Developmental Coordination Disorder ◽  
Inertial Sensors ◽  
Automatic Classification ◽  
Early Onset Ataxia ◽  
Coordination Disorder
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