JP2012161620A5 - Predictive blood sugar level calculating device and predictive blood sugar level calculating method - Google Patents

Predictive blood sugar level calculating device and predictive blood sugar level calculating method Download PDF

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JP2012161620A5
JP2012161620A5 JP2012075897A JP2012075897A JP2012161620A5 JP 2012161620 A5 JP2012161620 A5 JP 2012161620A5 JP 2012075897 A JP2012075897 A JP 2012075897A JP 2012075897 A JP2012075897 A JP 2012075897A JP 2012161620 A5 JP2012161620 A5 JP 2012161620A5
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本発明は、予測血糖値算出装置、予測血糖値算出方法に関する。
The present invention relates to a predictive blood sugar level calculating device and a predictive blood sugar level calculating method.

Claims (8)

ユーザーの血糖値の予測経時変化を示す予測血糖値変化曲線を算出する予測血糖値算出装置であって、
前記ユーザーの第１の日時における第１食事情報と第２の日時における第２食事情報とを取得する食事情報取得部と、
前記第１食事情報と前記第２食事情報との相対関係情報と、前記第１の日時と前記第２の日時との差である経過時間情報とを用いて、第１の前記予測血糖値変化曲線を算出する第１予測血糖値算出部と、
前記ユーザーの消費カロリーに関する消費カロリー情報を取得する消費カロリー情報取得部と、
前記消費カロリー情報を用いて、第２の前記予測血糖値変化曲線を算出する第２予測血糖値算出部と、
前記第１の予測血糖値変化曲線と、前記第２の予測血糖値変化曲線とを統合することにより、前記食事および前記消費カロリーに基づく第３の前記予測血糖値変化曲線を算出する第３予測血糖値算出部と
を備えることを特徴とする予測血糖値算出装置。 A predictive blood sugar level calculating device for calculating a predictive blood sugar level change curve indicating a predictive change in blood sugar level of a user,
A meal information acquisition unit for acquiring the first meal information at the first date and time of the user and the second meal information at the second date and time;
Using the relative relationship information between the first meal information and the second meal information and elapsed time information that is the difference between the first date and time and the second date and time, the first predictive blood sugar level change A first predictive blood sugar level calculating unit for calculating a curve;
A calorie consumption information acquisition unit for acquiring calorie consumption information related to the user's calorie consumption;
A second predictive blood sugar level calculating unit that calculates a second predictive blood sugar level change curve using the calorie consumption information ;
The third prediction for calculating the third predictive blood sugar level change curve based on the meal and the calorie consumption by integrating the first predictive blood sugar level change curve and the second predictive blood sugar level change curve. A predictive blood sugar level calculating device comprising: a blood sugar level calculating unit. 前記第１食事情報と前記第２食事情報とは、少なくとも糖質量及びＧＩ値を含むことを特徴とする、請求項１に記載の予測血糖値算出装置。  The predictive blood sugar level calculating apparatus according to claim 1, wherein the first meal information and the second meal information include at least a sugar mass and a GI value. 前記相対関係情報と前記経過時刻情報とに基づいて前記第１の予測血糖値変化曲線の血糖値上昇度合いを決定することを特徴とする、請求項１又は２に記載の予測血糖値算出装置。  3. The predictive blood sugar level calculating device according to claim 1, wherein a blood sugar level increase degree of the first predictive blood sugar level change curve is determined based on the relative relationship information and the elapsed time information. 前記消費カロリー情報は、活動量情報、脈拍情報、体調情報のうち少なくとも１つに基づいて決定された予測消費カロリー情報を含むことを特徴とする、請求項１〜３いずれかに記載の予測血糖値算出装置。  The predictive blood sugar information according to any one of claims 1 to 3, wherein the calorie consumption information includes predicted calorie consumption information determined based on at least one of activity amount information, pulse information, and physical condition information. Value calculation device. 前記予測消費カロリーは、体調が良い時ほど消費カロリーの単位時間あたりの変化量が大きくなるように可変に設定されることを特徴とする、請求項４に記載の予測血糖値算出装置。  5. The predictive blood sugar level calculating apparatus according to claim 4, wherein the predicted calorie consumption is variably set so that the change amount per unit time of calorie consumption increases as the physical condition is better. 前記体調情報は安静時脈拍値または睡眠時間に応じて可変に設定されることを特徴とする、請求項４〜５いずれかに記載の予測血糖値算出装置。  The predictive blood sugar level calculating device according to any one of claims 4 to 5, wherein the physical condition information is variably set in accordance with a resting pulse value or a sleeping time. ユーザーの血糖値の予測経時変化を示す予測血糖値変化曲線を算出する予測血糖値算出方法であって、    A predictive blood sugar level calculating method for calculating a predictive blood sugar level change curve indicating a predictive change in blood sugar level of a user,
前記ユーザーの第１の日時における第１食事情報と第２の日時における第２食事情報とを取得する食事情報取得工程と、A meal information acquisition step of acquiring first meal information at the first date and time of the user and second meal information at a second date and time;
前記第１食事情報と前記第２食事情報との相対関係情報と、前記第１の日時と前記第２の日時との差である経過時間情報とを用いて、第１の前記予測血糖値変化曲線を算出する第１予測血糖値算出工程と、  Using the relative relationship information between the first meal information and the second meal information and elapsed time information that is the difference between the first date and time and the second date and time, the first predictive blood sugar level change A first predictive blood sugar level calculating step of calculating a curve;
前記ユーザーの消費カロリーに関する消費カロリー情報を取得する消費カロリー情報取得工程と、  Calorie consumption information acquisition step of acquiring calorie consumption information related to the user's calorie consumption;
前記消費カロリー情報を用いて、第２の前記予測血糖値変化曲線を算出する第２予測血糖値算出工程と、  A second predictive blood sugar level calculating step of calculating a second predictive blood sugar level change curve using the calorie consumption information;
前記第１の予測血糖値変化曲線と、前記第２の予測血糖値変化曲線とを統合することにより、前記食事および前記消費カロリーに基づく第３の前記予測血糖値変化曲線を算出する第３予測血糖値算出工程と  The third prediction for calculating the third predictive blood sugar level change curve based on the meal and the calorie consumption by integrating the first predictive blood sugar level change curve and the second predictive blood sugar level change curve. Blood glucose level calculation process and
を備えることを特徴とする予測血糖値算出方法。  A predictive blood sugar level calculating method comprising: 前記相対関係情報と前記経過時刻情報とに基づいて前記第１の予測血糖値変化曲線の血糖値上昇度合いを決定することを特徴とする、請求項７に記載の予測血糖値算出方法。  8. The predictive blood sugar level calculating method according to claim 7, wherein a blood sugar level increase degree of the first predictive blood sugar level change curve is determined based on the relative relationship information and the elapsed time information.
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