Abstract
The Scammon’s growth curve, even during the 80 years since, has been applied to a number of fields. However, one has to wonder if all human characteristics are included in this 4 pattern growth curve classification. Till now, the Scammon’s growth curve has yet to be subjected to scientific verification. In this study, this assessment was verified by applying a cross-correlation function in analyzing changes from collapsing one of the curves to examine their similarity. Because of that, cross correlation function can then be applied to the quantified curve by Wavelet Interpolation Method. The data utilized for analysis, cross-sectional growth data from age one to 20 was used for the four attributes classified by the Scammon growth curve. This data was comprised of brain weight (neural type), thymus (lymphoid type), testicle (genital type), and liver (general type). A cross correlation function is used to show the similarity between two waveforms, and the cross correlation function may be evaluated by convolving one function. In this study, a cross correlation function was assumed from the velocity curve values found from differentiation using the wavelet interpolation model (WIM) for Scammon’s growth types. There are unanticipated possibilities of similarity between brain weight and thymus, and testicle and liver. What can be newly proposed, therefore, is that growth curve types can be classified as neural, lymphoid, and general body types, with the genital type included in the general body type. The genital type, visceral type, and morphological type are included within the general body type.
Highlights
Fujii [1],Fujii et al [2] objectively verified the four growth patterns by applying the wavelet interpolation model (WIM) to indicators of organ growth distances for a number of internal organs in the four patterns classified with the Scammon growth curve to derive growth velocity curves for those organs
While clear dissimilarity was found between the neural type, lymphoid type and genital type growth patterns, similarity was evident between the genital type and general type
A wavelet interpolation model and cross correlation function were applied in an analysis of the similarities and differences of growth curves
Summary
Fujii [1],Fujii et al [2] objectively verified the four growth patterns by applying the wavelet interpolation model (WIM) to indicators of organ growth distances for a number of internal organs in the four patterns classified with the Scammon growth curve to derive growth velocity curves for those organs. Objective assessment is difficult using only the present quantitative measurements of organ development due to the need for visual reliance, differences between the four growth patterns were distinguished by assessing the behavior of the development velocity curve to gain a grasp of the adolescent peak. In Animals as Social Beings, Portmann [3] said that, physiologically, humans are born prematurely as they are completely helpless at the time of birth. It takes about 20 years for a human to become an adult, the longest of all the primates. Fujii [4] has previously shown that even large four-legged animals reach an adult weight in about two years, and their weight growth curve differs from the growth curve of humans.
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