SYSTEM, METHOD AND ARTICLE FOR CONTROLLING THE DISPENSING OF INSULIN

• US 20100292634A1
• Filed: 06/19/2007
• Published: 11/18/2010
• Est. Priority Date: 06/19/2006
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: Dose Safety
• Inventors: Kircher, Robert C. JR., Mauseth, Richard S., Bhatia, Suray, Bishop, Jason N., Bilmes, Jeff A., Matheson, Donald P.
• Granted Patent: US 8,548,544 B2
• Time in Patent Office: Days
• US Class Current: 604/66
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61M 2230/005 Parameter used as control input for the apparatus
• CPC Class Codes: A61M 2230/201 Glucose concentration
• 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: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A system and method for automatically adjusting parameters for predicting blood glucose levels and/or controlling the dispensing of insulin. In one embodiment, the system is a stand-alone system. In one embodiment, the system is part of a system for controlling the dispensing of insulin.

Claims

1-131. -131. (canceled)

132. A blood glucose control system, comprising:

a data input subsystem configured to receive and store blood glucose-related data;

an output subsystem configured to generate a control signal to control the dispensing of insulin based on the received blood glucose-related data and control parameters; and

a parameter adjuster configured to adjust the control parameters based on the received and the stored blood-glucose related data.

133. The blood glucose control system of claim 132, further comprising:

a blood glucose level predictor configured to predict blood glucose levels based on the received blood glucose-related data.

134. The blood glucose control system of claim 133 wherein the blood glucose level predictor is configured to predict blood glucose levels based on the stored blood glucose-related data.

135. The blood glucose control system of claim 132, further comprising:

an insulin dispenser coupled to the output subsystem.

136. The blood glucose control system of claim 132 wherein the data input subsystem comprises a blood glucose sensor.

137. The blood glucose control system of claim 132 wherein the control system is configured to selectively transition between a post-meal correction mode and a fasting mode.

138. The blood glucose control system of claim 137 wherein the control system is configured to selectively transition from the post-meal correction mode to the fasting mode when a fasting criteria is satisfied.

139. The blood glucose control system of claim 137 wherein the control system is configured to selectively transition from the fasting mode to the post-meal correction mode when a prandial event is detected.

140. The blood glucose control system of claim 137 wherein the control system is configured to selective transition from the fasting mode to a user-input mode when a prandial event is detected.

141. The blood glucose control system of claim 132 wherein the control parameters comprise fuzzy-logic multipliers.

142. The blood glucose control system of claim 141 wherein the parameter adjuster is configured to selectively adjust a fuzzy logic rules matrix.

143. The blood glucose control system of claim 142 wherein the parameter adjuster is configured to selectively adjust the fuzzy logic rules matrix according to a dosing matrix coherency policy.

144. The blood glucose control system of claim 133 wherein the blood glucose level predictor is configured to predict a subsequent blood glucose level based on a previously predicted blood glucose level.

145. The blood glucose control system of claim 133 wherein the blood glucose level predictor is configured to predict blood glucose levels based on the maintained fuzzy-logic rules matrix

146. A system for controlling the dispensing of insulin, comprising:

a data input subsystem configured to receive blood glucose-related data;

a blood glucose level predictor coupled to the input system and configured to predict blood glucose levels based on the received data; and

an output subsystem configured to generate a control signal to control the dispensing of insulin based on the received data and the predicted blood glucose levels.

147. The system of claim 146, further comprising:

a model parameter adjuster, wherein the blood glucose level predictor is configured to predict blood glucose levels based on parameters of a statistical model and the model parameter adjuster is configured to adjust the parameters of the statistical model.

148. The system of claim 146, further comprising:

a control parameter adjuster, wherein the output system is configured to generate the control signals based on the control parameters and the control parameter adjuster is configured to adjust the control parameters.

149. The system of claim 148 wherein the control parameter adjuster is configured to adjust the control parameters based on a comparison of the predicted blood glucose levels to the received data.

150. The system of claim 146, further comprising:

a memory configured to store blood glucose-related data, wherein the blood glucose level predictor is configured to predict blood glucose levels based on data stored in the memory.

151. A blood glucose control system, comprising:

a data input subsystem configured to received sensed indications of blood glucose levels;

a parameter adjuster configured to adjust fuzzy logic multipliers based on the sensed indication of blood glucose levels; and

an output subsystem configured to generate a control signal to control dispensing of insulin based on the sensed indications of blood glucose levels and the fuzzy logic multipliers.

152. The blood glucose control system of claim 151 wherein the parameter adjuster is configured to selectively adjust a fuzzy logic rules matrix.

153. The blood glucose control system of claim 152 wherein the parameter adjuster is configured to selectively adjust the fuzzy logic rules matrix according to a dosing matrix coherency policy.

154. The blood glucose control system of claim 152 wherein the output subsystem is configured to predict blood glucose levels based on the maintained fuzzy-logic rules matrix and to generate the control signal based on the predicted blood glucose levels.

155. The blood glucose control system of claim 151, further comprising:

a sensor for sensing indications of blood glucose levels coupled to the data input system.

156. A blood glucose control system, comprising:

means for sensing indications of blood glucose levels;

means for predicting blood glucose levels based on sensed indications of blood glucose levels communicatively coupled to the means for sensing indications of blood glucose levels; and

means for generating control signals for controlling dispensing of insulin.

157. The blood glucose control system of claim 156, further comprising:

means for dispensing insulin.

158. The blood glucose control system of claim 156 wherein the means for predicting is configured to maintain a fuzzy-logic rules matrix based on the sensed indications.

159. The blood glucose control system of claim 158 wherein the means for predicting is configured to maintain the fuzzy-logic rules matrix based on the sensed indications and previously predicted blood glucose levels.

160. The blood glucose control system of claim 159 wherein the means for predicting is configured to predict blood glucose levels based on the maintained fuzzy-logic rules matrix.