Li Hanzhou, Jauregui Jeffrey L, Fenton Cagla, Chee Claire M, Bergqvist A G Christina
Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104.
Department of Biology University of Pennsylvania, Philadelphia, PA 19104.
J Mob Technol Med. 2014 Jul;3(2):11-15. doi: 10.7309/jmtm.3.2.3.
The Ketogenic Diet (KD) is an effective, alternative treatment for refractory epilepsy. This high fat, low protein and carbohydrate diet mimics the metabolic and hormonal changes that are associated with fasting.
To maximize the effectiveness of the KD, each meal is precisely planned, calculated, and weighed to within 0.1 gram for the average three-year duration of treatment. Managing the KD is time-consuming and may deter caretakers and patients from pursuing or continuing this treatment. Thus, we investigated methods of planning KD faster and making the process more portable through mobile applications.
Nutritional data was gathered from the United States Department of Agriculture (USDA) Nutrient Database. User selected foods are converted into linear equations with variables and three constraints: prescribed fat content, prescribed protein content, and prescribed carbohydrate content. Techniques are applied to derive the solutions to the underdetermined system depending on the number of foods chosen.
The method was implemented on an iOS device and tested with varieties of foods and different number of foods selected. With each case, the application's constructed meal plan was within 95% precision of the KD requirements.
In this study, we attempt to reduce the time needed to calculate a meal by automating the computation of the KD via a linear algebra model. We improve upon previous KD calculators by offering optimal suggestions and incorporating the USDA database. We believe this mobile application will help make the KD and other dietary treatment preparations less time consuming and more convenient.
生酮饮食（KD）是治疗难治性癫痫的一种有效替代疗法。这种高脂肪、低蛋白和低碳水化合物的饮食模仿了与禁食相关的代谢和激素变化。
为了使生酮饮食的效果最大化，在平均三年的治疗期间，每餐都要精确规划、计算并称重，误差控制在0.1克以内。管理生酮饮食很耗时，可能会阻碍护理人员和患者采用或继续这种治疗方法。因此，我们研究了通过移动应用程序更快地规划生酮饮食并使该过程更便于携带的方法。
营养数据来自美国农业部（USDA）营养数据库。用户选择的食物被转换为带有变量和三个约束条件的线性方程：规定的脂肪含量、规定的蛋白质含量和规定的碳水化合物含量。根据所选食物的数量，应用相关技术来求解欠定方程组。
该方法在iOS设备上实现，并使用各种食物和不同数量的所选食物进行了测试。在每种情况下，应用程序构建的饮食计划都在生酮饮食要求的95%精度范围内。
在本研究中，我们试图通过线性代数模型自动计算生酮饮食来减少计算一餐所需的时间。我们通过提供优化建议并纳入美国农业部数据库，对以前的生酮饮食计算器进行了改进。我们相信这个移动应用程序将有助于使生酮饮食和其他饮食治疗准备工作耗时更少、更方便。
