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.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 b...Show More
