Browsing by Author "Zankl, Andreas"
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- ItemABase-a tool for the rapid assessment of anthropometric measurements on handheld computers.(2003-08-11) Zankl, Andreas; Molinari, LucianoAnthropometry is widely recognized as an important method in the evaluation of dysmorphic children Nevertheless it has never gained widespread clinical use We believe that this has mainly practical reasons appropriate growth charts are not readily available at the bedside or in clinic and taking multiple measurements and plotting them into corresponding growth charts is a time consuming task Here we describe a computer program that overcomes both problems ABase compares entered anthropometric measurements to a database of age and sex matched reference values calculates the centile rank and displays the result either as text or as a digitized growth chart The program runs on small handheld computers that can easily be carried around in a shirt pocket
- ItemComputer-aided anthropometry in the evaluation of dysmorphic children.(2004-09-02) Zankl, AndreasOBJECTIVE Although anthropometry is widely regarded as the technique of choice for the evaluation of dysmorphic features among children it is only rarely used in clinical practice Possible reasons for this are the limited access of pediatricians to appropriate reference values and the time consuming way measurements must be plotted onto growth charts This article describes a computer program that overcomes these problems and greatly facilitates the use of anthropometric measurements in pediatric medicine DESIGN A computer program for PalmOS based handheld computers that compares entered anthropometric measurements with age and gender matched reference values was developed The software is distributed free of charge and can be downloaded www medgen unizh ch abase RESULTS The ABase software contains age and gender matched reference values for 18 anthropometric measures frequently used for the evaluation of dysmorphic children The proband s age is automatically calculated from the entered birth date and can be corrected for prematurity Entered measurements are compared with the internal reference values the results are displayed as percentile ranks or z scores and are plotted on digital growth charts CONCLUSIONS The presented software makes anthropometric reference values easily accessible on the ward or in the clinic and greatly reduces the time needed to plot the measurements onto growth charts This should promote more widespread use of anthropometry in pediatric medicine