Reliability of a new analysis to compute time to stabilization following a single leg drop jump landing in children
Although a number of different methods have been proposed to assess the time to stabilization (TTS), none is reliable in every axis and no tests of this type have been carried out on children. The purpose of this study was thus to develop a new computational method to obtain TTS using a time-scale (...
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description | Although a number of different methods have been proposed to assess the time to stabilization (TTS), none is reliable in every axis and no tests of this type have been carried out on children. The purpose of this study was thus to develop a new computational method to obtain TTS using a time-scale (frequency) approach [i.e. continuous wavelet transformation (WAV)] in children. Thirty normally-developed children (mean age 10.16 years, SD = 1.52) participated in the study. Every participant performed 30 single-leg drop jump landings with the dominant lower limb (barefoot) on a force plate from three different heights (15cm, 20cm and 25cm). Five signals were used to compute the TTS: i) Raw, ii) Root mean squared, iii) Sequential average processing, iv) the fitting curve of the signal using an unbounded third order polynomial fit, and v) WAV. The reliability of the TTS was determined by computing both the Intraclass Correlation Coefficient (ICC) and the Standard Error of the Measurement (SEM).In the antero-posterior and vertical axes, the values obtained with the WAV signal from all heights were similar to those obtained by raw, root mean squared and sequential average processing. The values obtained for the medio-lateral axis were relatively small. This WAV provided substantial-to-good ICC values and low SEM for almost all the axes and heights. The results of the current study thus suggest the WAV method could be used to compute overall TTS when studying children's dynamic postural stability. |
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The purpose of this study was thus to develop a new computational method to obtain TTS using a time-scale (frequency) approach [i.e. continuous wavelet transformation (WAV)] in children. Thirty normally-developed children (mean age 10.16 years, SD = 1.52) participated in the study. Every participant performed 30 single-leg drop jump landings with the dominant lower limb (barefoot) on a force plate from three different heights (15cm, 20cm and 25cm). Five signals were used to compute the TTS: i) Raw, ii) Root mean squared, iii) Sequential average processing, iv) the fitting curve of the signal using an unbounded third order polynomial fit, and v) WAV. The reliability of the TTS was determined by computing both the Intraclass Correlation Coefficient (ICC) and the Standard Error of the Measurement (SEM).In the antero-posterior and vertical axes, the values obtained with the WAV signal from all heights were similar to those obtained by raw, root mean squared and sequential average processing. The values obtained for the medio-lateral axis were relatively small. This WAV provided substantial-to-good ICC values and low SEM for almost all the axes and heights. 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Isaac</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability of a new analysis to compute time to stabilization following a single leg drop jump landing in children</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-02-12</date><risdate>2019</risdate><volume>14</volume><issue>2</issue><spage>e0212124</spage><pages>e0212124-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although a number of different methods have been proposed to assess the time to stabilization (TTS), none is reliable in every axis and no tests of this type have been carried out on children. The purpose of this study was thus to develop a new computational method to obtain TTS using a time-scale (frequency) approach [i.e. continuous wavelet transformation (WAV)] in children. Thirty normally-developed children (mean age 10.16 years, SD = 1.52) participated in the study. Every participant performed 30 single-leg drop jump landings with the dominant lower limb (barefoot) on a force plate from three different heights (15cm, 20cm and 25cm). Five signals were used to compute the TTS: i) Raw, ii) Root mean squared, iii) Sequential average processing, iv) the fitting curve of the signal using an unbounded third order polynomial fit, and v) WAV. The reliability of the TTS was determined by computing both the Intraclass Correlation Coefficient (ICC) and the Standard Error of the Measurement (SEM).In the antero-posterior and vertical axes, the values obtained with the WAV signal from all heights were similar to those obtained by raw, root mean squared and sequential average processing. The values obtained for the medio-lateral axis were relatively small. This WAV provided substantial-to-good ICC values and low SEM for almost all the axes and heights. The results of the current study thus suggest the WAV method could be used to compute overall TTS when studying children's dynamic postural stability.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30753223</pmid><doi>10.1371/journal.pone.0212124</doi><tpages>e0212124</tpages><orcidid>https://orcid.org/0000-0002-3617-2926</orcidid><orcidid>https://orcid.org/0000-0003-3748-2288</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Axes (reference lines) Biology and Life Sciences Biomechanical Phenomena Child Children Computer applications Correlation coefficient Correlation coefficients Curve fitting Dynamic stability Engineering and Technology Error analysis Female Force plates Humans Leg Leg - physiology Male Mechanical Phenomena Medicine and Health Sciences Methods Movement Physical Sciences Polynomials Posture Reliability analysis Reproducibility of Results Research and Analysis Methods Signal processing Software Stabilizing agents Standard error Studies Systematic review Teenagers Time Factors Transformation Wavelet transforms Youth |
title | Reliability of a new analysis to compute time to stabilization following a single leg drop jump landing in children |
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