TY - JOUR
T1 - Complexity of postural control in infants
T2 - linear and nonlinear features revealed by principal component analysis
AU - Harbourne, Regina T.
AU - Deffeyes, Joan E.
AU - Kyvelidou, Anastasia
AU - Stergiou, Nicholas
PY - 2009/1
Y1 - 2009/1
N2 - Nonlinear analysis of standing postural control in healthy adults reveals a chaotic structure of the center of pressure time series. Independent sitting is the first controlled posture during development, and can also be examined for nonlinear dynamics. We performed a principal component analysis on variables extracted from the center of pressure (COP) time series of infants sitting independently. Our purpose was to describe factors that could be interpreted for clinical use in evaluating postural control for infants, and determine if nonlinear measures provide additional information about postural control not quantified by standard linear measures. Four factors were identified: the area or amount of postural sway and the overall variability of the sway (linear); the complexity of the sway in the anterior-posterior direction (nonlinear); power variability or velocity (linear); and the complexity of the sway in the medial-lateral direction (nonlinear). Nonlinear measures, which are used to examine complexity in many physiological systems, describe the variability of postural control that is not described by linear measures. Nonlinear measures may be critical in determining the developing health of the postural control system in infants, and may be useful in early diagnosis of movement disorders. The measurement of nonlinear dynamics of postural control reveals a chaotic structure of postural control in infancy, which may be an indicator of healthy postural control throughout development.
AB - Nonlinear analysis of standing postural control in healthy adults reveals a chaotic structure of the center of pressure time series. Independent sitting is the first controlled posture during development, and can also be examined for nonlinear dynamics. We performed a principal component analysis on variables extracted from the center of pressure (COP) time series of infants sitting independently. Our purpose was to describe factors that could be interpreted for clinical use in evaluating postural control for infants, and determine if nonlinear measures provide additional information about postural control not quantified by standard linear measures. Four factors were identified: the area or amount of postural sway and the overall variability of the sway (linear); the complexity of the sway in the anterior-posterior direction (nonlinear); power variability or velocity (linear); and the complexity of the sway in the medial-lateral direction (nonlinear). Nonlinear measures, which are used to examine complexity in many physiological systems, describe the variability of postural control that is not described by linear measures. Nonlinear measures may be critical in determining the developing health of the postural control system in infants, and may be useful in early diagnosis of movement disorders. The measurement of nonlinear dynamics of postural control reveals a chaotic structure of postural control in infancy, which may be an indicator of healthy postural control throughout development.
KW - Complexity
KW - Infants
KW - Nonlinear
KW - Postural control
KW - Principal component
UR - http://www.scopus.com/inward/record.url?scp=62349125655&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=62349125655&partnerID=8YFLogxK
M3 - Article
C2 - 19061548
AN - SCOPUS:62349125655
SN - 1090-0578
VL - 13
SP - 123
EP - 144
JO - Nonlinear Dynamics, Psychology, and Life Sciences
JF - Nonlinear Dynamics, Psychology, and Life Sciences
IS - 1
ER -