Biological signal management

• US 9,775,534 B2
• Filed: 05/29/2013
• Issued: 10/03/2017
• Est. Priority Date: 02/02/2004
• Status: Active Grant

• Current Assignee: Braemar Incorporated
• Original Assignee: Braemar Incorporated
• Inventors: Korzinov, Lev, Baumann, Eric
• Primary Examiner(s): Bertram, Eric D.
• Application Number:
  US13/904,971
• Publication Number:
  US 20140094709A1
• Time in Patent Office: 1,588 Days
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats

Abstract

Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

Claims

1. A system comprising:

a memory comprising;

a plurality of data structures, each data structure comprising;

a span identification information field which identifies a time span, the time span having a duration, and

an allocation information field describing a cardiac event allocated to the data structure, wherein the described cardiac event occurred within the time span identified in the span identification field; and

circuitry configured to perform a method comprising;

receiving a cardiac biological signal that includes information describing a first cardiac event relevant to a medical purpose, wherein the first cardiac event occurred within a first time span,

determining a first measure of medical relevance of the information describing the first cardiac event for the medical purpose,

determining whether the first measure of medical relevance is greater than a threshold level of medical relevance, wherein the threshold level of medical relevance is a level of medical relevance of a second cardiac event currently allocated to a first data structure of the plurality of data structures, wherein a span identification field of the first data structure identifies the first time span, and

based on determining that the first measure of medical relevance is greater than the threshold level of medical relevance, allocating the first cardiac event to the first data structure.

2. The system of claim 1, wherein each data structure describes a single cardiac event.

3. The system of claim 1, wherein each of the plurality of data structures identifies a unique time span.

4. The system of claim 1, wherein the method performed by the circuitry further comprises:

based on determining that the first measure of medical relevance is less than the threshold level of medical relevance, discarding the first cardiac event.

5. The system of claim 1, wherein the first measure of medical relevance embodies a severity of a cardiac condition associated with the first cardiac event.

6. The system of claim 5, wherein determining the first measure of medical relevance comprises determining a noise metric for the first cardiac event.

7. The system of claim 1, wherein the method performed by the circuitry further comprises identifying the first cardiac event, wherein the first cardiac event is one or more of an asystole event, a tachycardia event, a bradycardia event, and an atrial fibrillation/flutter event.

8. The system of claim 1, wherein a duration of the first time span is greater than a duration of the first cardiac event.

9. The system of claim 1, wherein the time span of each of the plurality of data structures has a duration including a fixed number of heart beats.

10. The system of claim 1, wherein the second cardiac event is allocated to the first data structure by a second pointer, and wherein allocating the first cardiac event to the first data structure comprises associating the first event with the first data structure using a first pointer.

11. A method comprising:

receiving a cardiac biological signal that includes information describing a first cardiac event relevant to a medical purpose, wherein the first cardiac event occurred within a first time span;

determining a first measure of medical relevance of the information describing the first cardiac event for the medical purpose;

determining whether the first measure of medical relevance is greater than a threshold level of medical relevance, wherein the threshold level of medical relevance is a level of medical relevance of a second cardiac event currently allocated to a first data structure of a plurality of data structures, wherein a span identification field of the first data structure identifies the first time span; and

based on determining that the first measure of medical relevance is greater than the threshold level of medical relevance, allocating the first cardiac event to the first data structure;

wherein each data structure of the plurality of data structures comprises;

a span identification information field which identifies a time span, the time span having a duration, and

an allocation information field describing a cardiac event allocated to the data structure, wherein the described cardiac event occurred within the time span identified in the span identification field.

12. The method of claim 11, wherein each data structure describes a single cardiac event.

13. The method of claim 11, wherein each of the plurality of data structures identifies a unique time span.

14. The method of claim 11, further comprising:

based on determining that the first measure of medical relevance is less than the threshold level of medical relevance, discarding the first cardiac event.

15. The method of claim 11, wherein the first measure of medical relevance embodies a severity of a cardiac condition associated with the first cardiac event.

16. The method of claim 15, wherein determining the first measure of medical relevance comprises determining a noise metric for the first cardiac event.

17. The method of claim 11, further comprising identifying the first cardiac event, wherein the first cardiac event is one or more of an asystole event, a tachycardia event, a bradycardia event, and an atrial fibrillation/flutter event.

18. The method of claim 11, wherein a duration of the first time span is greater than a duration of the first cardiac event.

19. The method of claim 11, wherein the time span of each of the plurality of data structures has a duration including a fixed number of heart beats.

20. The method of claim 11, wherein the second cardiac event is allocated to the first data structure by a second pointer, and wherein allocating the first cardiac event to the first data structure comprises associating the first event with the first data structure using a first pointer.