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1. US20220248965 - SELF-CALIBRATING GLUCOSE MONITOR

Office
United States of America
Application Number 17168761
Application Date 05.02.2021
Publication Number 20220248965
Publication Date 11.08.2022
Publication Kind A1
IPC
A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
02Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/1495
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
145Measuring characteristics of blood in vivo, e.g. gas concentration, pH-value
1495Calibrating or testing in vivo probes
A61B 5/318
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiography
A61B 5/36
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiography
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
36Detecting PQ interval, PR interval or QT interval
A61B 5/358
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiography
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
358Detecting ST segments
A61B 5/355
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiography
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
355Detecting T-waves
CPC
A61B 5/1495
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
1495Calibrating or testing of in-vivo probes
A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/318
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiogaphy [ECG]
A61B 5/36
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiogaphy [ECG]
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
36Detecting PQ interval, PR interval or QT interval
A61B 5/358
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiogaphy [ECG]
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
358Detecting ST segments
A61B 5/355
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiogaphy [ECG]
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
355Detecting T-waves
Applicants Medtronic, Inc.
Inventors Richard J. O'Brien
Lilian Kornet
Richard N. Cornelussen
Alfonso Aranda Hernandez
Raphael Schneider
Title
(EN) SELF-CALIBRATING GLUCOSE MONITOR
Abstract
(EN)

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.


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