Algorithms for diabetes exercise therapy

• US 9,861,310 B2
• Filed: 10/16/2015
• Issued: 01/09/2018
• Est. Priority Date: 10/17/2014
• Status: Active Grant

• Current Assignee: Fitscript Llc
• Original Assignee: Fitscript Llc
• Inventors: O'Connell, Charles
• Primary Examiner(s): MENDEZ, MANUEL A
• Application Number:
  US14/885,825
• Publication Number:
  US 20160106363A1
• Time in Patent Office: 816 Days
• Field of Search: 604 65- 67, 604131, 604151, 600365, 600345, 600347
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61M 5/14 Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
• 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 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Safe and effective exercise poses a specific set of challenges for subjects diagnosed with diabetes. These challenges include the coordination of exercise with blood glucose monitoring and insulin administration. Failure to coordinate these factors effectively can lead to various pathologies related to aberrant blood glucose levels. Presented herein are methods, systems, algorithms, computer program products, and computer-executable code for exercise guidance and instruction specific to diabetes relief and management. The approaches as disclosed herein can help ameliorate, slow, or reduce a likelihood of developing a diabetic condition.

Claims

1. A system comprising:

a) a telecommunications device;

b) an insulin delivery device that is;

1) in contact with a subject;

2) in communication with the telecommunications device;

3) configured to administer insulin to the subject; and

4) configured to receive from the telecommunications device a transmission of an instruction to administer to the subject a dose of insulin;

c) a glucose monitoring device that is;

1) in contact with the subject;

2) in communication with the telecommunications device;

3) configured to detect a glucose level in the subject; and

4) configured to transmit to the telecommunications device a reading of the glucose level in the subject; and

d) a heart rate monitor device that is;

1) in contact with the subject;

2) in communication with the telecommunications device;

3) configured to detect a heart rate in the subject; and

4) configured to transmit to the telecommunications device a reading of the heart rate in the subject,

wherein the telecommunications device sends the transmission from the telecommunications device to the insulin delivery device, wherein the transmission instructs the insulin delivery device, based on the reading of the heart rate of the subject, to administer to the subject during exercise an adjusted dose of insulin over a period of at least 30 minutes, wherein the adjusted dose of insulin is from about 5% to about 95% of a basal dose of insulin for the subject, wherein the telecommunications device is in communication with a media device, wherein the telecommunications device instructs the media device to present to the subject an instructional exercise electronic communication medium based on the glucose level detected in the subject by the glucose monitoring device and the heart rate detected in the subject by the heart rate monitoring device.

2. The system of claim 1, wherein the telecommunications device is configured to display the glucose level detected in the subject by the glucose monitoring device and the heart rate detected in the subject by the heart rate monitoring device.

3. The system of claim 1, wherein the insulin delivery device is configured to adjust an amount of insulin that is administered to the subject based on the glucose level detected in the subject by the glucose monitoring device and the heart rate detected in the subject by the heart rate monitoring device.

4. The system of claim 1, wherein the insulin delivery device and the glucose monitoring device are in a common housing.

5. The system of claim 1, wherein the insulin delivery device, the glucose monitoring device, and the heart rate monitoring device are in a common housing.

6. The system of claim 1, wherein the insulin delivery device, the glucose monitoring device, and the telecommunications device are in a common housing.

7. The system of claim 1, wherein the insulin delivery device, the glucose monitoring device, the heart rate monitoring device, and the telecommunications device are in a common housing.

8. The system of claim 1, further comprising a glucagon delivery device that is:

1) in contact with the subject;

2) in communication with the telecommunications device;

3) configured to administer glucagon to the subject; and

4) configured to receive from the telecommunications device an instruction to administer to the subject a dose of glucagon.

9. The system of claim 8, wherein the insulin delivery device and the glucagon delivery device are in a common housing.

10. The system of claim 8, wherein the insulin delivery device, the glucose monitoring device, the heart rate monitoring device, and the glucagon delivery device are in a common housing.

11. The system of claim 8, wherein the insulin delivery device, the glucose monitoring device, the heart rate monitoring device, the glucagon delivery device, and the telecommunications device are in a common housing.

12. The system of claim 8, wherein the glucagon delivery device is configured to adjust an amount of glucagon that is administered to the subject based on the glucose level detected in the subject by the glucose monitoring device and the heart rate detected in the subject by the heart rate monitoring device.

13. The system of claim 1, wherein the transmission from the telecommunications device to the insulin delivery device instructs the insulin delivery device to administer to the subject the adjusted dose of insulin over a period of at least 60 minutes.

14. The system of claim 1, wherein the adjusted dose of insulin is about 15% of the basal dose of insulin.

15. The system of claim 1, wherein the adjusted dose of insulin is about 50% of the basal dose of insulin.

16. The system of claim 1, wherein the adjusted dose of insulin is about 85% of the basal dose of insulin.

17. The system of claim 1, wherein the adjusted dose of insulin is about 90% of the basal dose of insulin.

18. The system of claim 1, wherein the instructional exercise electronic communication medium is a video.

19. The system of claim 1, wherein the telecommunications device is configured to determine a level of the dose of insulin based on an input of an exercise to be performed by the subject, the reading of the glucose level in the subject by the glucose monitoring device, and the reading of the heart rate in the subject by the heart rate monitoring device.

20. The system of claim 1, wherein the instructional exercise electronic communication medium is selected to achieve a diabetes metric, wherein the diabetes metric is A1C reduction, increased fat metabolism, increased weight loss, real-time decrease of blood glucose levels, increase in insulin sensitivity, or decrease in insulin resistance.