SYSTEM AND METHODS OF DETERMINING ETIOLOGY OF UNDIAGNOSED SYMPTOMATIC EVENTS

• US 20180116598A1
• Filed: 11/02/2016
• Published: 05/03/2018
• Est. Priority Date: 11/02/2016
• Status: Active Grant

• Current Assignee: Medtronic Monitoring, Inc. (Medtronic Plc)
• Original Assignee: Medtronic Monitoring, Inc. (Medtronic Plc)
• Inventors: LEE, Brian B., MUSLEY, ShaileshKumar V., STADLER, Robert W., SHRIVASTAV, Maneesh, SCHULHAUSER, Randal, VILENDRER, Stacie
• Granted Patent: US 10,368,808 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/1032 Determining colour for diagnostic purposes measuring colour in general G01J3/46
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/259 using conductive adhesive means, e.g. gels
• CPC Class Codes: A61B 5/28 for electrocardiography [ECG]
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/6832 using adhesives A61B5/259 takes precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Embodiments describe a method of determining etiology of undiagnosed events comprising monitoring electrocardiogram signals and blood pressure of a patient via a medical device, capturing one or more of an ECG segment and a BP reading in response to a triggering event, classifying one or more of the ECG segment and BP reading as normal or abnormal, and determining etiology of undiagnosed symptomatic events based on the classification. Embodiments further describe a medical device comprising sensors for monitoring ECG signals and BP of a patient, circuitry for capturing one or more of ECG segments and BP readings of a patient in response to a triggering event, and a processor for communicating one of more of captured ECG segments and captured BP readings to a remote monitoring center directly or indirectly where the captured ECG segments and captured BP readings are classified as normal or abnormal.

Claims

1. A method of determining etiology of undiagnosed events, the method comprising:

monitoring electrocardiogram (ECG) signals and blood pressure (BP) of a patient via a medical device;

capturing one or more of an ECG segment and a BP reading in response to a triggering event;

classifying one or more of the ECG segment and BP reading as normal or abnormal; and

determining etiology of undiagnosed symptomatic events based on the classification of the ECG segment and/or BP reading.

2. The method of claim 1, wherein the medical device is non-invasive.

3. The method of claim 1, wherein the medical device includes an adherent patch and a blood pressure cuff.

4. The method of claim 1, wherein the ECG segment and/or BP reading captured includes one or more of prospectively captured ECG segments, prospectively captured BP readings, recently captured ECG segments, and recently captured BP readings.

5. The method of claim 1, wherein the triggering event is one or more of a patient triggered event and an automatically triggered event.

6. The method of claim 5, wherein the automatically triggered event is based on the monitored ECG signal and/or BP deviating from baseline data.

7. The method of claim 6, wherein the baseline data includes one or more of patient-specific BP and/or ECG data and population-based BP and/or ECG data.

8. The method of claim 1, wherein the ECG segment and/or BP reading is classified as normal or abnormal based on reference data.

9. The method of claim 1, wherein an ECG segment is classified as normal or abnormal based on a previously captured ECG segment.

10. The method of claim 1, wherein an ECG segment is classified as abnormal if an abnormal heart rhythm is detected.

11. The method of claim 1, wherein an ECG segment is classified as abnormal if a significant ECG change is detected.

12. The method of claim 1, wherein a BP reading is classified as normal or abnormal based on a previously captured BP reading.

13. The method of claim 1, wherein a BP reading is classified as abnormal if a significant BP change is detected.

14. A medical device, the medical device comprising:

sensors for monitoring ECG signals and BP of a patient;

circuitry for capturing one or more of ECG segments and BP readings of a patient in response to a triggering event; and

a processor for communicating one of more of captured ECG segments and captured BP readings to remote monitoring center directly or indirectly where the captured ECG segments and captured BP readings are classified as normal or abnormal.

15. The medical device of claim 14, wherein the triggering event is one or more of a patient triggered event and an automatically triggered event.

16. The medical device of claim 15, wherein the automatically triggered events are based on the monitored ECG signal and/or BP deviating from baseline data.

17. The medical device of claim 16, wherein the baseline data includes one or more of patient-specific ECG and/or BP data and population-based ECG and/or BP data.

18. The medical device of claim 14, further comprising sensors for monitoring one or more of glucose levels, pulse pressure, posture, and epidermal pigment.

19. The medical device of claim 14, wherein an ECG segment is classified as abnormal if an abnormal heart rhythm and/or significant ECG change is detected.

20. The method of claim 14, wherein a BP reading is classified as abnormal if a significant BP change is detected.