Document Detail


A dynamical systems analysis of spontaneous movements in newborn infants.
MedLine Citation:
PMID:  17550872     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The authors evaluated the characteristics of infants' spontaneous movements by using dynamical systems analysis. Participants were 6 healthy 1-month-old full-term newborn infants (3 males, 3 females). They used a triaxial accelerometer to measure limb acceleration in 3-dimensional space. Acceleration signals were recorded during 200 s from the right wrist when the infant was in an active alert state and lying supine (sampling rate 200 Hz). and was stored in the system's memory. Digitized data were transferred to a PC for subsequent processing with analysis software. The acceleration time series data were analyzed linearly and nonlinearly. Nonlinear time series analysis suggested that the infants' spontaneous movements are characterized by a nonlinear chaotic dynamics with 5 or 6 embedding dimensions. The production of infants'spontaneous movements involves chaotic dynamic systems that are capable of generating voluntary skill movements.
Authors:
Shohei Ohgi; Satoru Morita; Kek Khee Loo; Chihiro Mizuike
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of motor behavior     Volume:  39     ISSN:  0022-2895     ISO Abbreviation:  J Mot Behav     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-06-06     Completed Date:  2007-07-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0236512     Medline TA:  J Mot Behav     Country:  United States    
Other Details:
Languages:  eng     Pagination:  203-14     Citation Subset:  IM    
Affiliation:
Department of Rehabilitation Science, Seirei Christopher University, Hamamatsu, Shizuoka, Japan. shohei-o@seirei.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Acceleration
Biomechanics / methods*
Child Development / physiology*
Extremities
Female
Humans
Infant, Newborn
Male
Movement / physiology*
Task Performance and Analysis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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