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Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder

Jasper Beernaerts (UGent) , Rud Derie (UGent) , Bac Nguyen Cong (UGent) , Pieter Vansteenkiste (UGent) , Bernard De Baets (UGent) , Frederik Deconinck (UGent) , Matthieu Lenoir (UGent) , Dirk De Clercq (UGent) and Nico Van de Weghe (UGent)
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Abstract
The Qualitative Trajectory Calculus (QTC) is a qualitative spatio-temporal calculus for describing interactions between moving point objects. So far, it remained unclear whether QTC is useful for describing subtle differences, such as between the movements of different parts of a human body. We tested the applicability of QTC to detect differences in the gait patterns of children with or without Developmental Coordination Disorder (DCD). We found that using a combination of three markers (i.e. ankle, toe and trochanter), QTC can achieve a high classification accuracy (i.e. 83.3%) of classifying subjects correctly to either the DCD group or the control group.
Keywords
Gait pathology, QTC, DCD, qualitative movement analysis, WALKING, TREADMILL, KINEMATICS, PATTERNS

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MLA
Beernaerts, Jasper, et al. “Assessing the Potential of the Qualitative Trajectory Calculus to Detect Gait Pathologies : A Case Study of Children with Developmental Coordination Disorder.” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, vol. 22, no. 1, 2019, pp. 64–70.
APA
Beernaerts, J., Derie, R., Nguyen Cong, B., Vansteenkiste, P., De Baets, B., Deconinck, F., … Van de Weghe, N. (2019). Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 22(1), 64–70.
Chicago author-date
Beernaerts, Jasper, Rud Derie, Bac Nguyen Cong, Pieter Vansteenkiste, Bernard De Baets, Frederik Deconinck, Matthieu Lenoir, Dirk De Clercq, and Nico Van de Weghe. 2019. “Assessing the Potential of the Qualitative Trajectory Calculus to Detect Gait Pathologies : A Case Study of Children with Developmental Coordination Disorder.” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING 22 (1): 64–70.
Chicago author-date (all authors)
Beernaerts, Jasper, Rud Derie, Bac Nguyen Cong, Pieter Vansteenkiste, Bernard De Baets, Frederik Deconinck, Matthieu Lenoir, Dirk De Clercq, and Nico Van de Weghe. 2019. “Assessing the Potential of the Qualitative Trajectory Calculus to Detect Gait Pathologies : A Case Study of Children with Developmental Coordination Disorder.” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING 22 (1): 64–70.
Vancouver
1.
Beernaerts J, Derie R, Nguyen Cong B, Vansteenkiste P, De Baets B, Deconinck F, et al. Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 2019;22(1):64–70.
IEEE
[1]
J. Beernaerts et al., “Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder,” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, vol. 22, no. 1, pp. 64–70, 2019.
@article{8583025,
  abstract     = {The Qualitative Trajectory Calculus (QTC) is a qualitative spatio-temporal calculus for describing interactions between moving point objects. So far, it remained unclear whether QTC is useful for describing subtle differences, such as between the movements of different parts of a human body. We tested the applicability of QTC to detect differences in the gait patterns of children with or without Developmental Coordination Disorder (DCD). We found that using a combination of three markers (i.e. ankle, toe and trochanter), QTC can achieve a high classification accuracy (i.e. 83.3%) of classifying subjects correctly to either the DCD group or the control group.},
  author       = {Beernaerts, Jasper and Derie, Rud and Nguyen Cong, Bac and Vansteenkiste, Pieter and De Baets, Bernard and Deconinck, Frederik and Lenoir, Matthieu and De Clercq, Dirk and Van de Weghe, Nico},
  issn         = {1025-5842},
  journal      = {COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING},
  keywords     = {Gait pathology,QTC,DCD,qualitative movement analysis,WALKING,TREADMILL,KINEMATICS,PATTERNS},
  language     = {eng},
  number       = {1},
  pages        = {64--70},
  title        = {Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder},
  url          = {http://dx.doi.org/10.1080/10255842.2018.1527908},
  volume       = {22},
  year         = {2019},
}

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