Epilepsy Treatment Simplified through Mobile Ketogenic Diet Planning

Area of Science:

• Biochemistry
• Nutritional Science
• Computational Biology

Background:

• The Ketogenic Diet (KD) is a validated alternative therapy for refractory epilepsy.
• This diet mimics fasting by emphasizing high fat, low protein, and low carbohydrate intake.
• Precise meal planning, often to a 0.1-gram accuracy, is crucial for KD effectiveness but is time-consuming.

Purpose of the Study:

• To develop a faster and more portable method for planning Ketogenic Diet (KD) meals.
• To investigate the use of mobile applications for automating KD meal calculations.
• To reduce the burden on caretakers and patients managing this complex dietary treatment.

Main Methods:

• Utilized the United States Department of Agriculture (USDA) Nutrient Database for nutritional information.
• Developed a linear algebra model to convert food selections into equations with three constraints (fat, protein, carbohydrate).
• Applied techniques to solve underdetermined systems, generating precise meal plan solutions.

Main Results:

• An iOS application was developed and tested, demonstrating the feasibility of the linear algebra approach.
• Meal plans generated by the application achieved over 95% precision in meeting KD requirements.
• The system proved effective across various food selections and quantities.

Conclusions:

• Automating Ketogenic Diet (KD) meal computation using a linear algebra model significantly reduces calculation time.
• The mobile application offers improved meal suggestions and integrates comprehensive nutritional data.
• This innovation enhances the convenience and accessibility of the Ketogenic Diet for epilepsy management.