PORTABLE DEVICES AND METHODS FOR MEASURING NUTRITIONAL INTAKE

• US 20160262707A1
• Filed: 10/24/2014
• Published: 09/15/2016
• Est. Priority Date: 10/27/2013
• Status: Abandoned Application

• Current Assignee: Blacktree Fitness Technologies Inc.
• Original Assignee: Blacktree Fitness Technologies Inc.
• Inventors: DeVries, Emmanuel Jesse
• Application Number:
  US15/032,437
• Publication Number:
  US 20160262707A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/1451 for interstitial fluid
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61M 2205/3303 Using a biosensor
• CPC Class Codes: A61M 2205/3561 local, e.g. within room or hospital
• CPC Class Codes: A61M 2205/3584 using modem, internet or bluetooth
• CPC Class Codes: A61M 2205/3592 using telemetric means, e.g. radio or optical transmission
• CPC Class Codes: A61M 2230/005 Parameter used as control input for the apparatus
• CPC Class Codes: A61M 2230/04 Heartbeat characteristics, e.g. ECG, blood pressure modulation
• CPC Class Codes: A61M 2230/201 Glucose concentration
• CPC Class Codes: A61M 2230/65 Impedance, e.g. conductivity, capacity
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

The present specification includes, amongst other things, a portable monitoring device to calculate caloric intake, the monitoring device comprising (i) a housing, such as a bracelet, having a physical size and shape that is wearable on the human body, (ii) a blood glucose sensor, disposed in the housing, to generate data which is representative of the blood glucose concentration of the user, (iii) a blood triglycerides sensor, disposed in the housing, to generate data which is representative of the blood triglycerides concentration of the user, and (iv) processing circuitry, disposed in the housing and coupled to the blood glucose sensor and/or blood triglycerides sensor, to calculate caloric intake using data representative of the blood glucose concentration and/or blood triglyceride concentration of the user.

Claims

1. A device for monitoring nutritional intake comprising:

at least one biosensor for receiving at least one of blood glucose data, blood triglyceride data, and, other nutrition-related physiological data when proximate to a blood vessel;

a processing circuit connected to the biosensor output for calculating a nutritional measurement including at least a time representing a beginning of ingesting of food and a caloric intake after said time;

an output device connected to said processing circuit for outputting at least one of said time and said caloric intake.

2. The device according to claim 1 wherein said output device is further connected to an insulin pump having a control circuit;

said control circuit being configured to meter a dose of insulin based on said nutritional measurement.

3. The device according to claim 1 wherein said output device comprises a display configured to generate said nutritional measurement.

4. The device according to claim 1 wherein said output device comprises a transmitter circuit for sending said nutritional measurement or said biosensor output data to an external processing circuitry

5. The device according to claim 1 wherein said processing circuit is further configured to calculate, as part of said nutritional measurement, at least one of a mass of carbohydrate intake, a mass of protein intake, a mass of fat intake, a glycemic index, and a glycemic load.

12. The device according to claim 1 wherein said processing circuitry is configured to calculate mass of fats intake from the blood glucose concentration signal by first calculating a cross-correlation of the blood glucose concentration signal and a target signal chosen to isolate effects of fats intake on said blood glucose concentration signal.

13. The device of claim 12 wherein said mass of fats is calculated according to:

blood_glucose_fat[n]=(blood_glucose*fat_target[n], 

 

(4)

where blood_glucose_fat is the fat-correlated blood glucose signal, n is the time index, blood_glucose is the blood glucose concentration signal, fat_target is representative of the blood glucose concentration signal when fat is ingested in relative isolation, and * is a cross-correlation operator.

14. The device of claim 12 wherein said processing circuitry, given blood_glucose_fat, is configured to calculate mass of fats intake according to:

f=IAUC_correlated/IAUC_1g 

 

(5)

where m_fats is the mass of fats intake [grams], IAUC_correlated is the Incremental Area Under the Curve of blood_glucose_fat;

IAUC_1g is the Incremental Area Under the Curve of blood_glucose_fat due to intake of 1 gram of fat; and

the employed IAUC_correlated value is adjusted based on a function according to;

IAUC_correlated′

=f(IAUC_correlated), 

 

(6)

where IAUC_correlated′

is the resulting adjusted Incremental Area Under the Curve (of blood_glucose_fat), f(

) is a polynomial function and IAUC_correlated is the original Incremental Area Under the Curve (of blood_glucose_fat).

6. The device according to claim wherein said biosensor is a photoplethysmography sensor.

7. The device according to wherein 1 said caloric intake is calculated by said processing circuit according to the following:

C_intake=4*m_{carbohydrates}+4*m_proteins+9*m_fats 

 

(1)

where C_intake is the caloric intake [kcal], m_{carbohydrates} is the mass of carbohydrates intake [grams], m_proteins is the mass of proteins intake [grams], and m_fats is the mass of fats intake [grams].

8. The device according to claim 7 wherein said processing circuitry calculates mass of carbohydrates intake according to:

m_{carbohydrates}=GI/GL*100, 

 

(2)

where m_{carbohydrates} is the mass of carbohydrates intake [grams], GL is the glycemic load, and GI is the glycemic index.

9. The device according to claim 8 wherein said GL value is calculated by said processing circuit according to:

GL=IAUC/IAUC_1g, 

 

(3)

where GL is the glycemic load, IAUC is Incremental Area Under the Curve of the blood glucose concentration data, and IAUC_1g is the Incremental Area Under the Curve of the blood glucose concentration data due to intake of 1 gram of glucose.

10. The device according to claim 9 wherein said IAUC is calculated by said processing circuit as the area under the curve of blood glucose concentration with respect to time, wherein a baseline blood glucose concentration is subtracted, according to about a predefined period of time following the start of a meal, and wherein negative excursions relative to said baseline are excluded.

11. The device according to claim 9 wherein said predefined period of time is between about one hour and about four hours