IP Library Granted Patent US 9,883,809
Granted Patent B2
US 9,883,809 · App. 14/019,371 · Granted Feb 6, 2018

Monitoring, predicting and treating clinical episodes

Inventors: Tal Klap (Ramat Gan, IL); Zvi Shinar (Binyamina, IL); Guy Meger (Ramat Gan, IL); Avner Halperin (Ramat Gan, IL)
Assignee: EARLYSENSE LTD.
A61B5/0205A61B5/113A61B5/1116A61B5/4839A61B5/6891A61B5/6892A61B5/7282A61B5/746A61G7/0527G01G19/44A61B5/01A61B5/024A61B5/0402A61B5/0816A61B5/0823A61B5/1101A61B5/1118A61B5/14551A61B5/412A61B5/447A61B5/4818A61B5/4833
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Quick Facts
Patent No.
US 9,883,809
App. No.
14/019,371
Granted
Feb 6, 2018
Kind
B2
Abstract

Apparatus is described, including a motion sensor configured to sense motion of a patient and to generate a motion signal in response thereto. The apparatus includes an output unit and a control unit. The control unit is configured to analyze the motion signal, to identify breathing of the patient as being shallow breathing in response to the analyzing, and to drive the output unit to generate an alert in response to identifying the breathing of the patient as being shallow breathing. Other applications are also described.

Claims (78)

1. Apparatus comprising:

a non-contact motion sensor configured to sense motion of a patient and to generate a motion signal in response thereto;

an output unit; and

a control unit configured to:

derive, from the motion signal, a respiration rate of the patient, respiration motion signal amplitude of the patient, and changes in posture of the patient, by analyzing the motion signal,

identify breathing of the patient as being rapid shallow breathing, in response to:

detecting both of (a) an increase in the respiration rate, and (b) a decrease in the respiration motion signal amplitude, and

only in response to further detecting that an onset of (a) and (b) is not temporally associated with a change in a posture of the patient compared to before detecting (a) and (b), and

drive the output unit to generate an alert in response to identifying the breathing of the patient as being rapid shallow breathing.

2. The apparatus according to claim 1 , wherein the control unit is configured to:

identify poor pulmonary function of the patient, in response to identifying the breathing of the patient as being rapid shallow breathing, and

drive the output unit to generate the alert further in response thereto.

3. The apparatus according to claim 1 , wherein the control unit is configured to:

identify sepsis of the patient, in response to identifying the breathing of the patient as being rapid shallow breathing, and

drive the output unit to generate the alert further in response thereto.

4. The apparatus according to claim 3 , wherein the control unit is configured to:

calculate a sepsis score based on the identification of the rapid shallow breathing, and

identify the sepsis in response thereto.

5. The apparatus according to claim 1 , wherein:

the motion signal includes a cardiac related signal, and

the control unit is configured to:

derive a magnitude of respiratory sinus arrhythmia of the patient from the cardiac related signal, and

identify the breathing of the patient as being rapid shallow breathing, further in response to detecting a decrease in the magnitude of respiratory sinus arrhythmia of the patient.

6. Apparatus comprising:

a motion sensor configured to sense motion of a patient and to generate a motion signal, in response to sensing the motion of the patient;

an output unit; and

a control unit configured to:

derive, from the motion signal, heart pulse amplitude and respiration amplitude of the patient, by analyzing the motion signal,

analyze a ratio of the heart pulse amplitude to the respiration amplitude,

detect that the heart pulse amplitude exceeds a minimal threshold of amplitude,

using the analyzing and the detecting, identify breathing of the patient as being shallow breathing, and

drive the output unit to generate an alert in response to identifying the breathing of the patient as being shallow breathing.

7. The apparatus according to claim 6 , wherein the control unit is configured to identify poor pulmonary function of the patient, in response to identifying the breathing of the patient as being shallow breathing.

8. The apparatus according to claim 7 , wherein the control unit is further configured to:

detect a respiration rate of the patient, by analyzing the motion signal, and

identify poor pulmonary function of the patient, further in response to detecting the respiration rate.

9. The apparatus according to claim 6 , wherein the control unit is configured to identify the shallow breathing further in response to detecting that movements of the patient are taking place above the motion sensor.

10. A method for analyzing breathing of a patient, comprising:

sensing motion of a patient with a non-contact motion sensor, and generating a motion signal in response thereto;

deriving, from the motion signal, a respiration rate of the patient, respiration motion signal amplitude of the patient, and changes in posture of the patient, by analyzing, by a control unit, the motion signal;

in response to the analyzing, identifying, by the control unit, breathing of the patient as being rapid shallow breathing,

in response to detecting both of (a) an increase in the respiration rate, and (b) a decrease in the respiration motion signal amplitude, and

only in response to further detecting that an onset of (a) and (b) is not temporally associated with a change in a posture of the patient compared to before detecting (a) and (b); and

driving, by the control unit, an output unit to generate an alert in response to identifying the breathing of the patient as being rapid shallow breathing.

11. The method according to claim 10 , further comprising identifying, by the control unit, poor pulmonary function of the patient, in response to identifying the breathing of the patient as being rapid shallow breathing,

wherein driving the output unit to generate the alert is further in response to identifying the poor pulmonary function.

12. The method according to claim 10 , further comprising identifying, by the control unit, sepsis of the patient, in response to identifying the breathing of the patient as being rapid shallow breathing,

wherein driving the output unit to generate the alert is further in response to identifying the sepsis.

13. The method according to claim 12 , further comprising calculating, by the control unit, a sepsis score based on the identification of the rapid shallow breathing, wherein identifying the sepsis is in response to the score.

14. The method according to claim 10 , wherein:

generating the motion signal comprises generating a cardiac related signal,

the method further comprises deriving a magnitude of a respiratory sinus arrhythmia of the patient from the cardiac related signal, and

identifying the breathing of the patient as being rapid shallow breathing is further in response to detecting a decrease in the magnitude of the respiratory sinus arrhythmia of the patient.

15. A method for analyzing breathing of a patient, comprising:

sensing motion of a patient with a motion sensor, and, in response thereto, generating a motion signal;

using a control unit, deriving, from the motion signal, heart pulse amplitude and respiration amplitude of the patient, by analyzing the motion signal;

analyzing, by the control unit, a ratio of the heart pulse amplitude to the respiration amplitude;

detecting, by the control unit, whether the heart pulse amplitude exceeds a minimal threshold of amplitude;

using the analyzing and the detecting, identifying, by the control unit, the breathing of the patient as being shallow breathing; and

in response thereto, driving, by the control unit, an output unit to generate an alert.

16. The method according to claim 15 , further comprising identifying, by the control unit, poor pulmonary function of the patient, in response to identifying the breathing of the patient as being shallow breathing.

17. The method according to claim 16 , further comprising deriving, from the motion signal, by the control unit, a respiration rate of the patient,

wherein identifying the poor pulmonary function of the patient is further in response to deriving the respiration rate.

18. The method according to claim 15 , further comprising detecting, by the control unit, that movements of the patient are taking place above the motion sensor, wherein identifying the breathing of the patient as being shallow breathing comprises identifying the breathing of the patient as being shallow breathing in response to detecting that the movements are taking place above the motion sensor.

19. Apparatus comprising:

a sensor configured to continuously sense one or more physiological parameters of a patient selected from the group consisting of:

temperature, heart rate, breathing pattern, and blood pressure, and generate a sensor signal in response thereto; and

a control unit configured to:

continuously receive the sensor signal,

periodically receive data that includes a tilt angle of a resting surface of the patient by receiving the data at time intervals of between 0.5 hours and 12 hours,

based on both the continuously received sensor signal and the periodically received tilt angle of the resting surface, calculate a dynamic score, and

generate an output in response to the dynamic score.

20. The apparatus according to claim 19 , wherein the periodically received data further includes a second physiological parameter selected from the group consisting of: a blood pressure of the patient, and a temperature of the patient,

wherein the control unit is configured to calculate the dynamic score based on the selected second physiological parameter.

21. The apparatus according to claim 19 , wherein the periodically received data further includes a level of consciousness of the patient,

wherein the control unit is configured to calculate the dynamic score based on the level of consciousness.

22. The apparatus according to claim 19 , wherein the periodically received data further includes a weight of the patient,

wherein the control unit is configured to calculate the dynamic score based on the weight of the patient.

Assignments (7)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 12, 2021
From: WELCH ALLYN, INC.
To: HILL-ROM SERVICES, INC.
Reel/Frame 055248/0627 →
RELEASE OF SECURITY INTEREST Recorded Feb 11, 2021
From: KREOS CAPITAL VI (EXPERT FUND) LP
To: EARLYSENSE LTD.
Reel/Frame 055238/0809 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2021
From: EARLYSENSE LTD.
To: WELCH ALLYN, INC.
Reel/Frame 055238/0855 →
SECURITY INTEREST Recorded Jul 23, 2019
From: EARLYSENSE LTD.
To: KREOS CAPITAL VI (EXPERT FUND) L.P.
Reel/Frame 049827/0878 →
RELEASE OF SECURITY INTEREST Recorded Jun 11, 2019
From: KREOS CAPITAL V (EXPERT FUND) L.P.
To: EARLYSENSE LTD.
Reel/Frame 049425/0725 →
SECURITY INTEREST Recorded Dec 10, 2017
From: EARLYSENSE LTD.
To: KREOS CAPITAL V (EXPERT FUND) L.P.
Reel/Frame 044345/0219 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2013
From: KLAP, TAL; SHINAR, ZVIKA; MEGER, GUY; HALPERIN, AVNER
To: EARLYSENSE LTD.
Reel/Frame 031212/0553 →
Continuity (26)
Continuation In Part 12113680 · May 1, 2008
Continuation In Part 13906325 · May 30, 2013
Continuation In Part 12991749
Continuation In Part 13389200
Continuation In Part PCTIL2013050283 · Mar 24, 2013
Provisional Application 61052395 · May 12, 2008
Provisional Application 61054754 · May 20, 2008
Provisional Application 61082510 · Jul 22, 2008
Provisional Application 61103276 · Oct 7, 2008
Provisional Application 61141677 · Dec 31, 2008
Provisional Application 61144743 · Jan 15, 2009
Provisional Application 61420402 · Dec 7, 2010
Provisional Application 61439971 · Feb 7, 2011
Provisional Application 61561962 · Nov 21, 2011
Provisional Application 61618792 · Apr 1, 2012
Provisional Application 61696326 · Sep 4, 2012
Provisional Application 61698736 · Sep 10, 2012
Provisional Application 61722810 · Nov 6, 2012
Provisional Application 61725513 · Nov 13, 2012
Provisional Application 61739033 · Dec 19, 2012
Provisional Application 61748081 · Jan 1, 2013
Provisional Application 61756003 · Jan 24, 2013
Provisional Application 61757739 · Jan 29, 2013
Provisional Application 61764541 · Feb 14, 2013
Provisional Application 61772553 · Mar 5, 2013
Related Publication 20140005502A1 · Jan 2, 2014