{"title":"应用一阶插值摄动法建立基于碳水化合物/糖摄入量的预测PPG波形(gh -方法:数学-物理医学)","authors":"Gerald C. Hsu","doi":"10.31038/imroj.2020521","DOIUrl":null,"url":null,"abstract":"In this paper, the author presents his numerical techniques of applying the first-order interpolation perturbation method to establish and predict a new Postprandial Plasma Glucose (PPG) waveform based on the “perturbation factor” of carbs/sugar intake amount. This is part of his GH-Method: math-physical medicine research methodology. He also uses two previously measured PPG datasets (waveforms) of high-protein breakfasts to validate this numerical methodology.","PeriodicalId":158740,"journal":{"name":"Internal Medicine Research Open Journal","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Applying the First-Order Interpolation Perturbation Method to Establish Predicted PPG Waveforms Based on Carbs/Sugar Intake Amounts (GH-Method: Math- Physical Medicine)\",\"authors\":\"Gerald C. Hsu\",\"doi\":\"10.31038/imroj.2020521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the author presents his numerical techniques of applying the first-order interpolation perturbation method to establish and predict a new Postprandial Plasma Glucose (PPG) waveform based on the “perturbation factor” of carbs/sugar intake amount. This is part of his GH-Method: math-physical medicine research methodology. He also uses two previously measured PPG datasets (waveforms) of high-protein breakfasts to validate this numerical methodology.\",\"PeriodicalId\":158740,\"journal\":{\"name\":\"Internal Medicine Research Open Journal\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internal Medicine Research Open Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31038/imroj.2020521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internal Medicine Research Open Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31038/imroj.2020521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying the First-Order Interpolation Perturbation Method to Establish Predicted PPG Waveforms Based on Carbs/Sugar Intake Amounts (GH-Method: Math- Physical Medicine)
In this paper, the author presents his numerical techniques of applying the first-order interpolation perturbation method to establish and predict a new Postprandial Plasma Glucose (PPG) waveform based on the “perturbation factor” of carbs/sugar intake amount. This is part of his GH-Method: math-physical medicine research methodology. He also uses two previously measured PPG datasets (waveforms) of high-protein breakfasts to validate this numerical methodology.