IP Library Granted Patent US 12,097,378
Granted Patent B2
US 12,097,378 · App. 17/307,203 · Granted Sep 24, 2024

Resuscitation system

Inventors: Dymphna Mary Donaghy (County Donegal, IE); Johnny Houston Anderson (Holywood, GB); Adam Patrick Harvey (Hillsborough, GB); Peter James Lindsay (County Antrim, GB)
Assignee: HEARTSINE TECHNOLOGIES LIMITED
A61N1/3987A61N1/025A61N1/39044A61N1/3925G16H20/30A61H31/005
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Quick Facts
Patent No.
US 12,097,378
App. No.
17/307,203
Granted
Sep 24, 2024
Kind
B2
Abstract

A resuscitation system for use in the resuscitation of a subject includes a computing device configured to input subject information and use the subject information to create a subject resuscitation strategy, a sensor configured to detect subject biosignals and use the subject biosignals to monitor for a subject cardiac arrest event, and a defibrillator configured to determine and deliver a subject resuscitation treatment. On determination of a subject cardiac arrest event, the sensor outputs sensor subject biosignals to the computing device. The computing device uses the sensor subject biosignals to adapt the subject resuscitation strategy and output the subject resuscitation strategy to the defibrillator. The defibrillator measures subject biodata and uses the subject biodata and the subject resuscitation strategy to determine and deliver a subject resuscitation treatment. During subject resuscitation treatment, the defibrillator repeatedly uses measured subject biodata and the subject resuscitation strategy to adapt the subject resuscitation treatment.

Claims (43)

1. A resuscitation system for use in a resuscitation of a subject, the resuscitation system comprising:

a computing device configured to input subject information and use the subject information to create a subject resuscitation strategy, wherein the subject information comprises previously-recorded subject health data comprising any one or more of subject genetic data, subject lifestyle data, and subject demographic data, subject medical history, a subject cardiac condition, a subject health status, a subject illness, or a subject injury;

a sensor configured to detect subject biosignals and use the subject biosignals to monitor for a subject cardiac arrest event; and

a defibrillator configured to determine and deliver a subject resuscitation treatment, wherein:

on determination of a subject cardiac arrest event, the sensor is configured to output sensor subject biosignals to the computing device, the computing device is configured, based on one or more of the sensor subject biosignals, the subject information or a combination of the sensor subject biosignals and the subject information, to adapt the subject resuscitation strategy and output an updated subject resuscitation strategy to the defibrillator, the defibrillator is configured to measure subject biodata, use the subject biodata and the updated subject resuscitation strategy to determine and deliver a subject resuscitation treatment, and during a delivery of the subject resuscitation treatment, the defibrillator is configured to repeatedly measure additional subject biodata and repeatedly output the additional subject biodata to the computing device;

the computing device is configured to repeatedly use the additional subject biodata and the previously-recorded subject health data to adapt the updated subject resuscitation strategy and output a repeatedly updated subject resuscitation strategy to the defibrillator;

the defibrillator is configured to repeatedly use the subject biodata and the repeatedly updated subject resuscitation strategy to adapt the subject resuscitation treatment; and

the computing device comprises a resuscitation strategy software algorithm which accesses a database of optimal subject biosignals, determines sensor subject biosignals which are suboptimal subject biosignals, and adapts aspects of the subject resuscitation strategy or the updated subject resuscitation strategy corresponding to the suboptimal subject biosignals.

2. A resuscitation system according to claim 1 , wherein the computing device comprises a resuscitation strategy software algorithm which parses the subject information to yield parsed subject information and uses the parsed subject information to create the subject resuscitation strategy.

3. A resuscitation system according to claim 2 , wherein the resuscitation strategy software algorithm accesses a database of previously-developed resuscitation strategies categorized by subject information and selects a previously-developed resuscitation strategy that best fits the parsed subject information to be the subject resuscitation strategy.

4. A resuscitation system according to claim 1 , wherein the resuscitation strategy software algorithm uses the additional subject biodata to adapt the subject resuscitation strategy.

5. A resuscitation system according to claim 1 , wherein the defibrillator measures subject biodata comprising any one or more of subject heart rate biodata, subject ECG biodata, subject ICG biodata, subject blood pressure biodata, subject respiration rate biodata, subject blood oxygen saturation biodata, subject cardiopulmonary resuscitation (CPR) chest compression biodata, a type of the subject cardiac arrest event, condition of the subject, duration of the subject cardiac arrest event, subject response to the subject resuscitation treatment, and a success of the subject resuscitation treatment.

6. A resuscitation system according to claim 1 , wherein the subject resuscitation treatment comprises a set of software instructions which are used by the defibrillator to alter one or more defibrillation shock waveform characteristics for the subject.

7. A resuscitation system according to claim 6 , wherein the defibrillation shock waveform characteristics comprise any one or more of energy, voltage, tilt, interphase spacing.

8. A resuscitation system according to claim 1 , wherein the subject resuscitation treatment comprises a set of software instructions which are used by the defibrillator to alter feedback presented to a rescuer using the defibrillator to deliver the subject resuscitation treatment.

9. A resuscitation system according to claim 8 , wherein the feedback comprises any one or more of perform hands-only CPR, perform mouth to mouth CPR, adjust CPR chest compression duration, adjust CPR chest compression rate, adjust CPR chest compression depth, and adjust CPR chest compression recoil.

10. A method comprising:

receiving, at a computing device, subject information, wherein the subject information comprises previously-recorded subject health data comprising one or more of subject genetic data, subject lifestyle data, subject demographic data, subject medical history, a subject cardiac condition, a subject health status, a subject illness, or a subject injury;

based on the subject information, creating, via the computing device, a first subject resuscitation strategy;

detecting, via a sensor, subject biosignals from a subject;

monitoring, based on the subject biosignals, the subject for a subject cardiac arrest event;

determining and delivering, via a defibrillator, a subject resuscitation treatment;

on determination of the subject cardiac arrest event, outputting, from the sensor, sensor subject biosignals to the computing device;

adapting, via the computing device and based on one or more of the sensor subject biosignals, the subject information or a combination of the sensor subject biosignals and the subject information, the first subject resuscitation strategy to generate an updated subject resuscitation strategy;

outputting, from the computing device, the updated subject resuscitation strategy to the defibrillator;

measuring, via the defibrillator, subject biodata from the subject;

determining and delivering the subject resuscitation treatment based on the subject biodata and the updated subject resuscitation strategy;

during a delivery of the subject resuscitation treatment, repeatedly measuring, via the defibrillator, additional subject biodata and outputting the additional subject biodata to the computing device;

accessing a database of optimal subject biodata;

determining defibrillator sensor subject biodata which are suboptimal subject biodata;

repeatedly adapting, via the computing device and based on the additional subject biodata and based on the suboptimal subject biodata, the updated subject resuscitation strategy and outputting a repeatedly updated subject resuscitation strategy to the defibrillator; and

repeatedly adapting, via the defibrillator and based on the additional subject biodata and the repeatedly updated subject resuscitation strategy, the subject resuscitation treatment.

11. A method comprising:

detecting, via a sensor, subject biosignals from a subject;

monitoring, based on the subject biosignals, the subject for a subject cardiac arrest event;

determining and delivering, via a defibrillator and based on the subject cardiac arrest event and based on subject information comprising previously-recorded subject health data comprising any one or more of subject genetic data, subject lifestyle data, subject demographic data, subject medical history, a subject cardiac condition, a subject health status, a subject illness, or a subject injury, a subject resuscitation treatment;

during the subject resuscitation treatment, repeatedly measuring, via the defibrillator, subject biodata to generate repeatedly-measured subject biodata;

accessing a database of optimal subject biodata;

determining defibrillator sensor subject biodata which are suboptimal subject biodata; and

repeatedly adapting, via the defibrillator and based on one or more of the repeatedly-measured subject biodata and the suboptimal subject biodata, the subject information or a combination of the repeatedly-measured subject biodata and the subject information, the subject resuscitation treatment.

12. The method of claim 11 , further comprising:

transmitting data associated with the subject or the subject resuscitation treatment to a device associated with emergency medical services.

13. The method of claim 12 , wherein the transmitting of the data occurs in real-time or near-real-time.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 26, 2023
From: HEARTSINE TECHNOLOGIES LIMITED
To: STRYKER EUROPEAN OPERATIONS LIMITED
Reel/Frame 065952/0622 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 4, 2021
From: DONAGHY, DYMPHNA MARY; ANDERSON, JOHNNY HOUSTON; HARVEY, ADAM PATRICK; LINDSAY, PETER JAMES
To: HEARTSINE TECHNOLOGIES LIMITED
Reel/Frame 058021/0327 →
Priority Claims (2)
GB 2006613 · May 5, 2020 · national
GB 2020616 · Dec 24, 2020 · national
Continuity (1)
Related Publication 20210346708A1 · Nov 11, 2021