Benjamin S West

US Patent:

20220263829, Aug 18, 2022

Filed:

May 2, 2022

Appl. No.:

17/661739

Inventors:

- San Diego CA, US
Michael Robert MENSINGER - San Diego CA, US
Nicholas POLYTARIDIS - San Diego CA, US
Gary A. MORRIS - San Diego CA, US
Alexandra Elena CONSTANTIN - San Jose CA, US
Douglas William BURNETTE - San Diego CA, US
Mario REMON - Ft. Lauderdale FL, US
Jorge R. BARRERAS - Miami FL, US
Benjamin Elrod WEST - San Diego CA, US
Christopher Robert HANNEMANN - San Diego CA, US

International Classification:

H04L 9/40
H04W 52/02
A61B 5/145
H04W 12/06
A61B 5/00
G16H 10/60
G16H 50/20
G16H 10/65
H04W 76/14

Abstract:

Systems, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.

US Patent:

20220361778, Nov 17, 2022

Filed:

May 17, 2022

Appl. No.:

17/746048

Inventors:

- San Diego CA, US
Nathaniel D Heintzman - San Diego CA, US
Joost Van der Linden - San Diego CA, US
Apurv Ullas Kamath - San Diego CA, US
Vincent P Crabtree - San Diego CA, US
Benjamin E West - San Diego CA, US
Mark D Kempkey - San Diego CA, US
Kyoung-Ho Kim - San Diego CA, US
Craig Thomas Gadd - San Diego CA, US
Svetlana Whitley - San Diego CA, US
Maria NB Wells - San Diego CA, US
Christopher M Popp - San Diego CA, US
Andrew M Reinhardt - San Diego CA, US

Assignee:

Dexcom, Inc. - San Diego CA

International Classification:

A61B 5/145
A61B 5/05
A61B 5/1473
A61B 5/1486
A61B 5/00
A61M 5/172

Abstract:

Data-stream bridging for sensor transitions is described. A first data stream of glucose measurements is received from a first glucose sensor worn by a user. A termination event for the first glucose sensor is detected when production and/or communication of the first glucose measurements via the first data stream ceases. Next, a second data stream of glucose measurements is received from a second glucose sensor worn by the user that replaces the first glucose sensor. During a warmup period for the second glucose sensor, estimated glucose values are output for the user based on both the first data stream of glucose measurements received from the first glucose sensor prior to the termination event and the second data stream of glucose measurements received from the second glucose sensor.

US Patent:

20230051514, Feb 16, 2023

Filed:

Sep 23, 2022

Appl. No.:

17/935051

Inventors:

- San Diego CA, US
John Francis LOUGHLIN - San Diego CA, US
Sean S. NIHALANI - Cardiff CA, US
James Stephen AMIDEI - Escondido CA, US
Stephen Alan REICHERT - San Diego CA, US
Sebastian BOHM - San Diego CA, US
Krishna Prashant DAITA - San Diego CA, US
Brian Christopher SMITH - San Diego CA, US
Michael A. PLOOF - Del Mar CA, US
Benjamin Elrod WEST - San Diego CA, US
Mark S. DERVAES - Carlsbad CA, US
Vincent P. CRABTREE - San Diego CA, US
William A. PLENDER - Dania Beach FL, US
Douglas William BURNETTE - San Diego CA, US

International Classification:

A61B 5/00
A61B 5/145
H04W 76/14
H04W 76/10
H04L 9/40
H04L 67/141
H04W 48/10

Abstract:

Systems, methods, apparatuses, and devices, for the wireless communication of analyte data are provided. In some embodiments, a method and calibration station for calibrating a continuous analyte sensor system is provided. Methods and testing systems for testing a continuous analyte sensor system is provided. Continuous analyte sensor systems, display devices and peripheral devices configured for wireless communication of analyte, connection, alarm and/or alert data and associated methods are provided.

US Patent:

20230013632, Jan 19, 2023

Filed:

Sep 19, 2022

Appl. No.:

17/933197

Inventors:

- San Diego CA, US
Scott M. BELLIVEAU - San Diego CA, US
Naresh C. BHAVARAJU - San Diego CA, US
Leif N. BOWMAN - San Diego CA, US
Rita M. CASTILLO - Ramona CA, US
Alexandra Elena CONSTANTIN - San Diego CA, US
Rian W. DRAEGER - San Diego CA, US
Laura J. DUNN - San Diego CA, US
Gary Brian GABLE - Auburn WA, US
Arturo GARCIA - Chula Vista CA, US
Thomas HALL - San Diego CA, US
Hari HAMPAPURAM - Beaverton OR, US
Christopher Robert HANNEMANN - San Diego CA, US
Nathaniel David HEINTZMAN - San Diego CA, US
Andrea Jean JACKSON - Solana Beach CA, US
Lauren Hruby JEPSON - San Diego CA, US
Apurv Ullas KAMATH - San Diego CA, US
Katherine Yerre KOEHLER - Solana Beach CA, US
Aditya Sagar MANDAPAKA - San Diego CA, US
Samuel Jere MARSH - San Diego CA, US
Gary A. MORRIS - San Marcos CA, US
Subrai Girish PAI - San Diego CA, US
Andrew Attila PAL - San Diego CA, US
Nicholas POLYTARIDIS - San Diego CA, US
Philip Thomas PUPA - San Diego CA, US
Eli REIHMAN - San Diego CA, US
Ashley Anne RINDFLEISCH - Portland OR, US
Sofie Wells SCHUNK - Albuquerque NM, US
Peter C. SIMPSON - San Diego CA, US
Daniel S. SMITH - San Diego CA, US
Stephen J. VANSLYKE - Carlsbad CA, US
Matthew T. VOGEL - San Diego CA, US
Tomas C. WALKER - Las Vegas NV, US
Benjamin Elrod WEST - San Diego CA, US
Atiim Joseph WILEY - San Diego CA, US

International Classification:

G16H 20/17
G16H 50/20
G06N 20/00
A61B 5/00
H04M 1/72412
A61B 5/024
A61B 5/11
A61B 5/145
A61B 5/16
G08B 21/04
G06N 5/04
A61M 5/172
G16H 40/67
G16H 40/63

Abstract:

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

US Patent:

20210316070, Oct 14, 2021

Filed:

Mar 16, 2021

Appl. No.:

17/202845

Inventors:

- San Diego CA, US
Scott M. Belliveau - San Diego CA, US
Esteban Cabrera, JR. - San Diego CA, US
Rian Draeger - San Diego CA, US
Laura J. Dunn - San Diego CA, US
Timothy Joseph Goldsmith - San Diego CA, US
Hari Hampapuram - Portland OR, US
Christopher Robert Hannemann - San Diego CA, US
Apurv Ullas Kamath - San Diego CA, US
Katherine Yerre Koehler - Solana Beach CA, US
Patrick Wile McBride - San Diego CA, US
Michael Robert Mensinger - San Diego CA, US
Francis William Pascual - San Diego CA, US
Philip Mansiel Pellouchoud - San Diego CA, US
Nicholas Polytaridis - San Diego CA, US
Philip Thomas Pupa - San Diego CA, US
Anna Leigh Davis - Cardiff by the Sea CA, US
Kevin Shoemaker - San Diego CA, US
Brian Christopher Smith - San Marcos CA, US
Benjamin Elrod West - San Diego CA, US
Atiim Joseph Wiley - San Diego CA, US

International Classification:

A61M 5/172
G08B 21/04
A61B 5/145
A61B 5/00
H04L 29/06
G06F 9/54
G06F 16/955
G06F 16/22
G06F 21/60
G08B 25/08
G16H 40/63
H04L 9/08
G16H 20/17
G16H 10/60
H04M 1/72409
H04M 1/72412
H04W 12/084
H04L 9/06
H04L 9/14
H04L 9/30

Abstract:

Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

US Patent:

20210259591, Aug 26, 2021

Filed:

Dec 7, 2020

Appl. No.:

17/114254

Inventors:

- San Diego CA, US
Derek James Escobar - Escondido CA, US
Sumitaka Mikami - San Diego CA, US
Hari Hampapuram - Portland OR, US
Benjamin Elrod West - San Diego CA, US
Nathanael Paul - Knoxville TN, US
Naresh C. Bhavaraju - San Diego CA, US
Michael Robert Mensinger - San Diego CA, US
Gary A. Morris - La Jolla CA, US
Andrew Attila Pal - San Diego CA, US
Eli Reihman - San Diego CA, US
Scott M. Belliveau - San Diego CA, US
Katherine Yerre Koehler - Solana Beach CA, US
Nicholas Polytaridis - San Diego CA, US
Rian Draeger - San Diego CA, US
Jorge Valdes - San Diego CA, US
David Price - Carlsbad CA, US
Peter C. Simpson - Cardiff CA, US
Edward Sweeney - Poway CA, US

International Classification:

A61B 5/145
A61B 5/00
A61M 5/172
A61M 5/142

Abstract:

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

US Patent:

20210260286, Aug 26, 2021

Filed:

Dec 7, 2020

Appl. No.:

17/114137

Inventors:

- San Diego CA, US
Derek James Escobar - Escondido CA, US
Sumitaka Mikami - San Diego CA, US
Hari Hampapuram - Portland OR, US
Benjamin Elrod West - San Diego CA, US
Nathanael Paul - Knoxville TN, US
Naresh C. Bhavaraju - San Diego CA, US
Michael Robert Mensinger - San Diego CA, US
Gary A. Morris - La Jolla CA, US
Andrew Attila Pal - San Diego CA, US
Eli Reihman - San Diego CA, US
Scott M. Belliveau - San Diego CA, US
Katherine Yerre Koehler - Solana Beach CA, US
Nicholas Polytaridis - San Diego CA, US
Rian Draeger - San Diego CA, US
Jorge Valdes - San Diego CA, US
David Price - Carlsbad CA, US
Peter C. Simpson - Cardiff CA, US
Edward Sweeney - Poway CA, US

International Classification:

A61M 5/172
G16H 40/67
G16H 20/17
G16H 10/60
G06N 20/00

Abstract:

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

US Patent:

20210260287, Aug 26, 2021

Filed:

Dec 7, 2020

Appl. No.:

17/114142

Inventors:

- San Diego CA, US
Derek James Escobar - Escondido CA, US
Sumitaka Mikami - San Diego CA, US
Hari Hampapuram - Portland OR, US
Benjamin Elrod West - San Diego CA, US
Nathanael Paul - Knoxville TN, US
Naresh C. Bhavaraju - San Diego CA, US
Michael Robert Mensinger - San Diego CA, US
Gary A. Morris - La Jolla CA, US
Andrew Attila Pal - San Diego CA, US
Eli Reihman - San Diego CA, US
Scott M. Belliveau - San Diego CA, US
Katherine Yerre Koehler - Solana Beach CA, US
Nicholas Polytaridis - San Diego CA, US
Rian Draeger - San Diego CA, US
Jorge Valdes - San Diego CA, US
David Price - Carlsbad CA, US
Peter C. Simpson - Cardiff CA, US
Edward Sweeney - Poway CA, US

International Classification:

A61M 5/172
G16H 20/17
H04W 12/037
H04L 9/30
G16H 40/67
G06N 20/00

Abstract:

Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Author:

Benjamin West

ISBN #:

0875980503