IP Library Granted Patent US 11,129,536
Granted Patent B2
US 11,129,536 · App. 15/802,061 · Granted Sep 28, 2021

Respiratory early warning scoring systems and methods

Inventors: Jenny Freeman (Weston, MA); Jordan Brayanov (Medford, MA)
Assignee: Respiratory Motion, Inc.
A61B5/0205A61B5/0022A61B5/0024A61B5/0036A61B5/02055A61B5/053A61B5/0535A61B5/0803A61B5/087A61B5/0809A61B5/0816A61B5/091A61B5/14542A61B5/4848A61B5/6823A61B5/7278A61B5/7282A61B5/746A61M5/14276A61M5/168A61M11/00A61M16/0006A61M16/0051A61M16/026G06F19/00G16H20/30G16H20/40G16H40/40G16H40/63A61B5/021A61B5/024A61B5/02416A61B5/318A61B5/369A61B2560/0223A61B2560/0238A61B2562/0215A61M16/0463A61M2016/0036A61M2205/0238A61M2205/18A61M2205/3375A61M2205/3569A61M2205/3592A61M2205/50A61M2230/06A61M2230/08A61M2230/10A61M2230/205A61M2230/30A61M2230/65
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Quick Facts
Patent No.
US 11,129,536
App. No.
15/802,061
Granted
Sep 28, 2021
Kind
B2
Abstract

An early warning scoring system and method include a computing device, a plurality of sensors for acquiring physiological signals from a patient, wherein the sensors are functionally connected to the computing device, and at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level. The computing device receives the physiological signals from the sensors, analyzes the physiological signals, and based on the analyzed signals, calculates the early warning score, and compares to the early warning score to predetermined limits and, if the score is outside the limits, triggers an alarm or actuates or modifies a treatment or medical intervention.

Claims (46)

1. An early warning scoring system, the system comprising:

a computing device having acquisition circuitry;

a plurality of sensors for acquiring bioelectrical impedance signals from a patient, wherein the sensors are functionally connected to the acquisition circuitry and are adapted to be placed in one or more tetrapolar configurations on the chest of the patient; and

at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level;

wherein the computing device:

receives the bioelectrical impedance signals from the sensors;

determines a calibration coefficient based on the bioelectrical impedance signals and demographic information of the patient;

calibrates the bioelectrical impedance signals;

analyzes the calibrated bioelectrical impedance signals;

based on the analyzed signals, calculates the early warning score; and

compares to the early warning score to predetermined limits and, if the score is outside the limits, triggers the at least one alarm or actuates or modifies a treatment or medical intervention.

2. The early warning scoring system of claim 1 , wherein the computing device provides an assessment of minute ventilation, tidal volume, and/or respiratory rate of the patient based on the bioelectrical impedance signal.

3. The early warning scoring system of claim 2 , wherein the EWS calculation includes at least one of the minute ventilation, tidal volume, and/or respiratory rate of the patient.

4. The early warning scoring system of claim 2 , wherein the EWS calculation includes minute ventilation and does not include respiratory rate.

5. The early warning scoring system of claim 1 , wherein the EWS is indicative of at least one of respiratory failure, sepsis, cardiac failure, congestive heart failure, renal failure, over-hydration, pulmonary edema, hyper metabolic state, overexertion, traumatic brain injury, pulmonary embolus, opioid induced respiratory depression, over sedation.

6. The early warning scoring system of claim 1 , wherein the sensors obtain patient data relating to at least one of minute ventilation, tidal volume, respiratory rate, oxygen saturation, temperature, blood pressure, pulse or heart rate, blood oxygen levels, and brain activity.

7. The early warning scoring of claim 1 , wherein the at least one alarm is at least one of audible or visual.

8. The early warning scoring system of claim 1 , wherein at least two sensors are placed on the torso of the patient and a physiological bioelectrical impedance signal is measured transthoracically.

9. The early warning scoring system of claim 1 , wherein the computing device further:

obtains patient data comprising alertness, voice, pain, and unresponsiveness (AVPU) of the patient; and

the EWS calculation includes the patient's AVPU data.

10. The early warning scoring system of claim 1 , wherein the system is non-invasive.

11. The early warning scoring system of claim 1 , wherein the EWS calculation includes the patient's disease state and/or circumstance.

12. The early warning scoring system of claim 1 , wherein the EWS calculation includes the patient's age, demographics, condition, and/or data from the patient's electronic health records.

13. The early warning scoring system of claim 1 , wherein the system is a triage system, a mobilization protocol system, a training protocol system, or an activity and/or nutrition regimen system.

14. A method of calculating an early warning score (EWS), the method comprising the steps of:

coupling a plurality of sensors for acquiring bioelectrical impedance signals to a patient in one or more tetrapolar configurations on the chest of the patient;

receiving the bioelectrical impedance signals from the sensors;

determining a calibration coefficient based on the bioelectrical impedance signals and demographic information of the patient;

calibrating the bioelectrical impedance signals;

analyzing the calibrated bioelectrical impedance signals;

based on the analyzed signals, calculating the EWS; and

comparing the early warning score to predetermined limits and, if the score is outside the limits, triggering an alarm or actuating or modifying a treatment or medical intervention.

15. The method of claim 14 , wherein the method further provides an assessment of minute ventilation, tidal volume, and/or respiratory rate of the patient based on the bioelectrical impedance signal.

16. The method of claim 15 , wherein the EWS calculation includes at least one of the minute ventilation, tidal volume, and/or respiratory rate of the patient.

17. The method of claim 15 , wherein the EWS calculation includes minute ventilation and does not include respiratory rate.

18. The method of claim 14 , wherein the EWS is indicative of at least one of respiratory failure, sepsis, cardiac failure, congestive heart failure, renal failure, over-hydration, pulmonary edema, hyper metabolic state, overexertion, traumatic brain injury, pulmonary embolus, opioid induced respiratory depression, over sedation.

19. The method of claim 14 , wherein the sensors obtain patient data relating to at least one of minute ventilation, tidal volume, respiratory rate, oxygen saturation, temperature, blood pressure, pulse or heart rate, blood oxygen levels, and brain activity.

20. The method of claim 14 , wherein the at least one alarm is at least one of audible or visual.

21. The method of claim 14 , wherein at least two sensors are placed on the torso of the patient and a physiological bioelectrical impedance signal is measured transthorasically.

22. The method of claim 14 , further comprising:

obtaining patient data comprising alertness, voice, pain, and unresponsiveness (AVPU) of the patient, wherein the EWS calculation includes the patient's AVPU data.

23. The method of claim 14 , wherein the method is non-invasive.

24. The method of claim 14 , wherein the EWS calculation includes the patient's disease state and/or circumstance.

25. The method of claim 14 , wherein the EWS calculation includes the patient's age, demographics, condition, and/or data from the patient's electronic health records.

26. The method of claim 14 , wherein the method is a triage method, a mobilization protocol method, a training protocol method, or an activity and/or nutrition regimen method.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2018
From: FREEMAN, JENNY E.; BRAYANOV, JORDAN
To: RESPIRATORY MOTION, INC.
Reel/Frame 046851/0989 →
Continuity (12)
Continuation In Part 15255413 · Sep 2, 2016
Continuation In Part 14246862 · Apr 7, 2014
Continuation In Part 13210360 · Aug 15, 2011
Continuation In Part 13554346 · Jul 20, 2012
Provisional Application 62215847 · Sep 9, 2015
Provisional Application 61373548 · Aug 13, 2010
Provisional Application 61449811 · Mar 7, 2011
Provisional Application 61480105 · Apr 28, 2011
Provisional Application 61509952 · Jul 20, 2011
Provisional Application 61809025 · Apr 5, 2013
Provisional Application 62416416 · Nov 2, 2016
Related Publication 20180098739A1 · Apr 12, 2018
Cited By (1)
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