Literature DB >> 18635672

Time series analysis of spontaneous upper-extremity movements of premature infants with brain injuries.

Shohei Ohgi1, Satoru Morita, Kek Khee Loo, Chihiro Mizuike.   

Abstract

BACKGROUND AND
PURPOSE: Comparisons of spontaneous movements of premature infants with brain injuries and those without brain injuries can provide insights into normal and abnormal processes in the ontogeny of motor development. In this study, the characteristics of spontaneous upper-extremity movements of premature infants with brain injuries and those without brain injuries were examined with time series analysis.
SUBJECTS: Participants were 7 premature infants with brain injuries and 7 matched, low-risk, premature infants at the age of 1 month after term.
METHODS: A triaxial accelerometer was used to measure upper-extremity limb acceleration in 3-dimensional space. Acceleration signals were recorded from the right wrist when the infant was in an active, alert state and lying in the supine position. The recording time was 200 seconds. The acceleration signal was sampled at a rate of 200 Hz. The acceleration time series data were analyzed by nonlinear analysis as well as linear analysis.
RESULTS: The nonlinear time series analysis indicated that spontaneous movements of premature infants have nonlinear, chaotic, dynamic characteristics. The movements of the infants with brain injuries were characterized by larger dimensionality, and they were more unstable and unpredictable than those of infants without brain injuries. DISCUSSION AND
CONCLUSION: As determined by nonlinear analysis, the spontaneous movements of the premature infants with brain injuries had the characteristics of increased disorganization compared with those of the infants without brain injuries. Infants with brain injuries may manifest problems with self-organization as a function of the coordination of subsystems. Physical therapists should be able to support interactions among the subsystems and promote self-organization of motor learning through the individualized provision of various sensorimotor experiences for infants.

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Year:  2008        PMID: 18635672      PMCID: PMC2527216          DOI: 10.2522/ptj.20070171

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  39 in total

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  13 in total

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6.  Correlation properties of spontaneous motor activity in healthy infants: a new computer-assisted method to evaluate neurological maturation.

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Review 8.  Movement recognition technology as a method of assessing spontaneous general movements in high risk infants.

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9.  Exploring the use of sensors to measure behavioral interactions: an experimental evaluation of using hand trajectories.

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