System and methods of determining etiology of undiagnosed symptomatic events

Patent metadata

Field	Value
Publication number	US-10368808-B2
Application number	US-201615341465-A
Country	US
Kind code	B2
Filing date	Nov 2, 2016
Priority date	Nov 2, 2016
Publication date	Aug 6, 2019
Grant date	Aug 6, 2019

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.

First claim

What is claimed is:

1. A method of determining etiology of undiagnosed events, the method comprising:
monitoring electrocardiogram (ECG) signals of a patient via an adherent device;
capturing an ECG segment in response to a triggering event, wherein the triggering event includes a patient triggered event and/or an automatically triggered event in which the monitored ECG signal deviates from baseline data;
prompting the patient via the adherent device to wear a satellite blood pressure cuff in response to the triggering event, wherein the satellite blood pressure cuff captures blood pressure (BP) readings and communicates the captured BP readings to the adherent device;
communicating the captured ECG segment and captured BP readings from the adherent device to a remote monitoring center;
classifying, at the remote monitoring center, 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 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.

3. The method of claim 1 , wherein the baseline data includes one or more of patient-specific ECG data and population-based ECG data.

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

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

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

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

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

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

10. A medical system, the medical system comprising:
an adherent device configured to be adhered to a patient, the adherent device having one or more sensors for monitoring ECG signals of the patient and circuitry for capturing ECG segments in response to a triggering event;
a satellite blood pressure monitor configured to be positioned on the patient's arm for monitoring blood pressure of the patient and capturing BP readings, the satellite blood pressure monitor having communication circuitry for communicating the captured BP readings to the adherent device; and
a processor located on the adherent device 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;
wherein in response to an automatically triggered ECG event or a patient triggered event, the adherent device prompts the patient to wear the satellite blood pressure monitor to capture BP readings.

11. The medical system of claim 10 , wherein the automatically triggered events are based on the monitored ECG signal deviating from baseline data.

12. The medical system of claim 11 , wherein the baseline data includes one or more of patient-specific ECG data and population-based ECG data.

13. The medical system of claim 11 , wherein the processor on the adherent device compares the monitored ECG signal to the baseline data to identify automatically triggered events.

14. The medical system of claim 10 , further comprising sensors for monitoring one or more of glucose levels, pulse pressure, posture, and epidermal pigment.

15. The medical system of claim 10 , wherein an ECG segment is classified as abnormal if an abnormal heart rhythm and/or significant ECG change is detected.

16. The medical system of claim 10 , wherein a BP reading is classified as abnormal if a significant BP change is detected.

17. The medical system of claim 10 , wherein the adherent patch is worn continuously and the satellite blood pressure cuff is worn intermittently.

18. The medical system of claim 10 , wherein the remote monitoring center determines an etiology of an syncopal episode based on the classification of the captured ECG segments and captured BP readings as normal or abnormal.

19. The medical system of claim 18 , wherein the remote monitoring center a syncopal episode is classified as vasovagal syncope if the captured ECG segment is classified as normal and the captured BP reading is classified as abnormal.

20. The medical system of claim 18 , wherein the remote monitoring center a syncopal episode is classified as cardiogenic syncope if the captured ECG segment is classified as abnormal and the captured BP reading is classified as abnormal.

Assignees

• Medtronic Monitoring Inc

Inventors

• Lee Brian B
• Musley Shaileshkumar V
• Stadler Robert W
• Shrivastav Maneesh
• Schulhauser Randal
• Vilendrer Stacie

Classifications

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• A61B2560/0412

  Low-profile patch shaped housings · CPC title

• A61B5/7282

  Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818) · CPC title

• A61B5/6832

  using adhesives (conductive adhesive for bioelectric electrodes A61B5/259) · CPC title

• A61B5/7264 Primary

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title