Paul Marcus Goode

US Patent:

7171258, Jan 30, 2007

Filed:

Jun 25, 2003

Appl. No.:

10/603876

Inventors:

Paul Goode - Murrieta CA, US

Assignee:

Cardiac Pacemakers, Inc. - St. Paul MN

International Classification:

A61B 5/04
A61N 1/00

US Classification:

600509, 607 17

Abstract:

The present invention relates to an implantable cardioverter-defibrillator or pacemaker whose standard circuitry is used to trend a physiological cardiac parameter using intra-cardiac impedance measurements. The trend information may be used to predict the onset of a sudden cardiac death (SCD) event. By being able to predict the onset of an SCD event, patients and their physicians may be forewarned of a life-threatening event allowing them to respond accordingly. The trend information may also be used to predict the efficacy of cardiac-related medications, monitor progress of congestive heart failure, detect the occurrence of myocardial infarction, or simply track changes in sympathetic tone.

US Patent:

7826891, Nov 2, 2010

Filed:

Sep 7, 2006

Appl. No.:

11/470926

Inventors:

Paul Goode - Murrieta CA, US

Assignee:

Cardiac Pacemakers, Inc. - St. Paul MN

International Classification:

A61B 5/053

US Classification:

600509, 607 17

Abstract:

The present invention relates to an implantable cardioverter-defibrillator or pacemaker whose standard circuitry is used to trend a physiological cardiac parameter using intra-cardiac impedance measurements. The trend information may be used to predict the onset of a sudden cardiac death (SCD) event. By being able to predict the onset of an SCD event, patients and their physicians may be forewarned of a life-threatening event allowing them to respond accordingly. The trend information may also be used to predict the efficacy of cardiac-related medications, monitor progress of congestive heart failure, detect the occurrence of myocardial infarction, or simply track changes in sympathetic tone.

US Patent:

20050027180, Feb 3, 2005

Filed:

Aug 1, 2003

Appl. No.:

10/633329

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - Solana Beach CA, US
James Thrower - San Diego CA, US

International Classification:

A61B005/00

US Classification:

600365000, 128920000

Abstract:

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

US Patent:

20050027181, Feb 3, 2005

Filed:

Aug 1, 2003

Appl. No.:

10/633404

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - San Diego CA, US

International Classification:

A61B005/00

US Classification:

600365000, 128920000, 600309000

Abstract:

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

US Patent:

20050027462, Feb 3, 2005

Filed:

Aug 1, 2003

Appl. No.:

10/632537

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - San Diego CA, US

International Classification:

G06F019/00

US Classification:

702022000

Abstract:

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

US Patent:

20050027463, Feb 3, 2005

Filed:

Aug 1, 2003

Appl. No.:

10/633367

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - Solana Beach CA, US
Victoria Carr-Brendel - San Diego CA, US

International Classification:

G01D018/00

US Classification:

702022000, 436149000

Abstract:

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

US Patent:

20050043598, Feb 24, 2005

Filed:

Aug 22, 2003

Appl. No.:

10/648849

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - Solana Beach CA, US
James Thrower - San Diego CA, US
Victoria Carr-Brendel - San Diego CA, US

Assignee:

DexCom, Inc. - San Diego CA

International Classification:

A61B005/00
A61B005/05

US Classification:

600316000, 600347000, 600365000

Abstract:

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.

US Patent:

20050187720, Aug 25, 2005

Filed:

Jan 18, 2005

Appl. No.:

11/038340

Inventors:

Paul Goode - Murrieta CA, US
James Brauker - San Diego CA, US
Apurv Kamath - San Diego CA, US

Assignee:

Dexcom, Inc. - San Diego CA

International Classification:

G06F019/00
G01N031/00

US Classification:

702022000

Abstract:

Abstract of the DisclosureSystems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.