Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones.
Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones.
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DOI：
10.1177/1932296815580159
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发表时间：
2015-05-01
影响因子：
5
通讯作者：
Mougiakakou, Stavroula
中科院分区：
文献类型：
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作者：
Anthimopoulos, Marios;Dehais, Joachim;Mougiakakou, Stavroula
背景技术背景：患有1型糖尿病（T1 D）的个体必须计算他们膳食中的碳水化合物（CHO），以估计补偿膳食对血糖水平的影响所需的餐时胰岛素剂量。CHO计数是非常具有挑战性的，但也是至关重要的，因为20克的错误可以大大损害餐后control.METHOD：GoCARB系统是一个智能手机应用程序，旨在支持T1 D患者与CHO计数的非包装食品。在典型的场景中，用户将参考卡放置在盘子旁边，并用他/她的智能手机获取2个图像。从这些图像中，检测盘子，并自动分割和识别盘子上的不同食物，同时重建它们的3D形状。最后，食物体积计算和CHO含量估计结合以前的结果，并使用USDA nutritional database.RESULTS：为了评估所提出的系统，一组24多食物菜。对于每个培养皿，拍摄3对图像，并且对于每对，应用系统4次。CHO估计的平均绝对百分比误差为10 ± 12%，这导致正常大小的diskings.CONCLUSION的平均绝对误差为6 ± 8 CHO克：实验室实验证明了GoCARB原型系统的可行性，因为误差低于20克的初始目标。然而，在启动一个能够满足不同文化间和文化内饮食习惯的系统之前，需要进一步改进和评估。
BACKGROUND: Individuals with type 1 diabetes (T1D) have to count the carbohydrates (CHOs) of their meal to estimate the prandial insulin dose needed to compensate for the meal's effect on blood glucose levels. CHO counting is very challenging but also crucial, since an error of 20 grams can substantially impair postprandial control.METHOD: The GoCARB system is a smartphone application designed to support T1D patients with CHO counting of nonpacked foods. In a typical scenario, the user places a reference card next to the dish and acquires 2 images with his/her smartphone. From these images, the plate is detected and the different food items on the plate are automatically segmented and recognized, while their 3D shape is reconstructed. Finally, the food volumes are calculated and the CHO content is estimated by combining the previous results and using the USDA nutritional database.RESULTS: To evaluate the proposed system, a set of 24 multi-food dishes was used. For each dish, 3 pairs of images were taken and for each pair, the system was applied 4 times. The mean absolute percentage error in CHO estimation was 10 ± 12%, which led to a mean absolute error of 6 ± 8 CHO grams for normal-sized dishes.CONCLUSION: The laboratory experiments demonstrated the feasibility of the GoCARB prototype system since the error was below the initial goal of 20 grams. However, further improvements and evaluation are needed prior launching a system able to meet the inter- and intracultural eating habits.