- Minneapolis MN, US Michael D. Eggen - Chisago City MN, US Ning Yu - Columbia Heights MN, US John P. Keane - Shoreview MN, US Shantanu Sarkar - Roseville MN, US Randal C. Schulhauser - Phoenix AZ, US David L. Probst - Chandler AZ, US Mark R. Boone - Gilbert AZ, US Kenneth A. Timmerman - Robbinsdale MN, US Stanley J. Taraszewski - Plymouth MN, US Matthew A. Joyce - Maple Grove MN, US Amruta Paritosh Dixit - Maple Grove MN, US Kathryn E. Hilpisch - Cottage Grove MN, US Kathryn Ann Milbrandt - Ham Lake MN, US Laura M. Zimmerman - Maple Grove MN, US Matthew L. Plante - Danbury WI, US
This disclosure is directed to systems and techniques for detecting change in patient health based upon patient data. In one example, a medical system comprising processing circuitry communicably coupled to a glucose sensor and configured to generate continuous glucose sensor measurements of a patient. The processing circuitry is further configured to: extract at least one feature from the continuous glucose sensor measurements over at least one time period, wherein the at least one feature comprises one or more of an amount of time within a pre-determined glucose level range, a number of hypoglycemia events, a number of hyperglycemia events, or one or more statistical metrics corresponding to the continuous glucose sensor measurements; apply a machine learning model to the at least one extracted feature to produce data indicative of a risk of a cardiovascular event; and generate output data based on the risk of the cardiovascular event.
Detection And/Or Prediction Of A Medical Condition Using Atrial Fibrillation And Glucose Measurements
- Mansfield MA, US David L. Probst - Chandler AZ, US Mohsen Askarinya - Chandler AZ, US Aaron Gilletti - Costa Mesa CA, US Richard J. O'Brien - Hugo MN, US Mark J. Phelps - Scottsdale AZ, US Randal C. Schulhauser - Phoenix AZ, US John Wainwright - Foothill Ranch CA, US
A system comprises electrocardiogram sensing, glucose sensing circuitry, and processing circuitry. The sensing circuitry is configured to sense an electrocardiogram of a patient. The glucose sensing circuitry is configured to sense glucose levels of the patient. The processing circuitry configured to detect atrial fibrillation of the patient during a time unit based on the electrocardiogram of the patient, determine a first metric, wherein the first metric is associated with atrial fibrillation the patient experiences during the time unit, determine a second metric, wherein the second metric is associated with glucose levels of the patient during the time unit, and generate a health metric, wherein the health metric is determined based on the first and second metrics.
Waferscale Physiological Characteristic Sensor Package With Integrated Wireless Transmitter
- Northridge CA, US David L. Probst - Chandler AZ, US Randal C. Schulhauser - Phoenix AZ, US Mohsen Askarinya - Chandler AZ, US Patrick W. Kinzie - Glendale AZ, US Thomas P. Miltich - Otsego MN, US Mark D. Breyen - Champlin MN, US
An embodiment of a sensor device includes a base substrate, a circuit pattern formed overlying the interior surface of the substrate, a physiological characteristic sensor element on the exterior surface of the substrate, conductive plug elements located in vias formed through the substrate, each conductive plug element having one end coupled to a sensor electrode, and having another end coupled to the circuit pattern, a multilayer component stack carried on the substrate and connected to the circuit pattern, the stack including features and components to provide processing and wireless communication functionality for sensor data obtained in association with operation of the sensor device, and an enclosure structure coupled to the substrate to enclose the interior surface of the substrate, the circuit pattern, and the stack.
Waferscale Physiological Characteristic Sensor Package With Integrated Wireless Transmitter
- Northridge CA, US David L. Probst - Chandler AZ, US Randal C. Schulhauser - Phoenix AZ, US Mohsen Askarinya - Chandler AZ, US Patrick W. Kinzie - Glendale AZ, US Thomas P. Miltich - Otsego MN, US Mark D. Breyen - Champlin MN, US
An embodiment of a sensor device includes a base substrate, a circuit pattern formed overlying the interior surface of the substrate, a physiological characteristic sensor element on the exterior surface of the substrate, conductive plug elements located in vias formed through the substrate, each conductive plug element having one end coupled to a sensor electrode, and having another end coupled to the circuit pattern, a multilayer component stack carried on the substrate and connected to the circuit pattern, the stack including features and components to provide processing and wireless communication functionality for sensor data obtained in association with operation of the sensor device, and an enclosure structure coupled to the substrate to enclose the interior surface of the substrate, the circuit pattern, and the stack.
Apparatus And Methods For Detection Of Diabetes-Associated Molecules Using Electrochemical Impedance Spectroscopy
- Scottsdale AZ, US - Rochester MN, US David Probst - Chandler AZ, US Koji Sode - Chapel Hill NC, US Curtiss Cook - Scottsdale AZ, US
International Classification:
G01N 27/02 G01N 27/327 G01N 33/543
Abstract:
Methods and apparatus for detecting binding of a diabetes-related target molecule analyte in a sample utilizing Electrochemical Impedance Spectroscopy (EIS). Sensor electrodes include a diabetes-related target-capturing molecule immobilized thereto, and an EIS-based imaginary impedance measurement is utilized to arrive at a concentration of the analyte.
Measurement Of Device Materials Using Non-Faradaic Electrochemical Impedance Spectroscopy
- Northridge CA, US David Probst - Chandler AZ, US Mohsen Askarinya - Chandler AZ, US Akhil Srinivasan - Pacific Palisades CA, US Melissa Tsang - Sherman Oaks CA, US Michael E. Miller - Culver City CA, US Parisa Kamgar - Los Angeles CA, US
The invention includes method and materials designed to measure the material properties (e.g. thickness) of layers of material in a sensor using non-Faradaic EIS (Electrochemical Impedance Spectroscopy) methods. The methods are non-destructive, very sensitive and rapid. Typically in these methods, an AC voltage is applied to the desired material layer while the output current and therefore impedance is measured. This voltage can be applied in multiple frequencies in sweep mode in order to detect both the material and, for example, the thickness of the target material. In this way, EIS allows the characterization of properties of various layers of material disposed in devices such as electrochemical glucose sensors.
Electrochemical Sensor Including Multiple Work Electrodes And Common Reference Electrode
- Minneapolis MN, US Mohsen Askarinya - Chandler AZ, US James K. Carney - Roseville MN, US Patrick W. Kinzie - Glendale AZ, US Jennifer Lorenz Marckmann - Tempe AZ, US Randal C. Schulhauser - Phoenix AZ, US Akhil Srinivasan - Northridge CA, US David Probst - Chandler AZ, US Alejo Chavez Gaxiola - Tempe AZ, US
International Classification:
A61B 5/1468 A61B 5/145 A61B 5/053
Abstract:
A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.
Electrochemical Sensor Including Multiple Work Electrodes And Common Reference Electrode
- Minneapolis MN, US Mohsen Askarinya - Chandler AZ, US James K. Carney - Roseville MN, US Patrick W. Kinzie - Glendale AZ, US Jennifer Lorenz Marckmann - Tempe AZ, US Randal C. Schulhauser - Phoenix AZ, US Akhil Srinivasan - Northridge CA, US David Probst - Chandler AZ, US Alejo Chavez Gaxiola - Tempe AZ, US
International Classification:
G01N 27/327
Abstract:
An electrochemical sensor may include a common reference electrode, at least one counter electrode, and a work electrode platform including a plurality of respective work electrodes. Each respective work electrode of the plurality of respective work electrodes may be electrically coupled to the common reference electrode and include a respective reagent substrate configured to react with a respective analyte to produce a signal indicative of a concentration of the respective analyte.
Name / Title
Company / Classification
Phones & Addresses
David Probst Vice-president
QUALITY HOME SERVICES, INC Building Maintenance Services
3500 W Kent Dr, Chandler, AZ 85226 1826 E Fountain, Mesa, AZ 85203
David R Probst
JCD VENTURES LLC
3500 W Kent Dr, Chandler, AZ 85226 1826 E Fountain St, Mesa, AZ 85203