IP Library Granted Patent US 10,172,593
Granted Patent B2
US 10,172,593 · App. 14/843,021 · Granted Jan 8, 2019

Pregnancy state monitoring

Inventors: Zvika Shinar (Binyamina, IL); Guy Meger (Haifa, IL); Liat Tsoref (Tel Aviv, IL); Avner Halperin (Ramat Gan, IL)
Assignee: EARLYSENSE LTD.
A61B10/0012A61B5/02405A61B5/0816A61B5/4343A61B5/6892A61B5/7282A61B5/01A61B5/02A61B5/024A61B5/08A61B5/11A61B5/4812A61B5/6891A61B5/7267
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Quick Facts
Patent No.
US 10,172,593
App. No.
14/843,021
Granted
Jan 8, 2019
Kind
B2
Abstract

Apparatus and methods are described including apparatus for monitoring a female subject that includes a sensor, configured to monitor the subject without requiring compliance of the subject, and to generate a sensor signal in response to the monitoring. A computer processor is configured to receive the sensor signal, analyze the sensor signal, in response to the analyzing, identify whether the subject is in a pregnant state or a non-pregnant state, and generate an output in response thereto. Other applications are also described.

Claims (28)

1. Apparatus for monitoring a female subject, the apparatus comprising:

a sensor, configured:

to be disposed at a location selected from the group consisting of: upon the subject's bed, and within the subject's bed,

to monitor the subject, while the subject is in her bed, without requiring compliance of the subject, and

to generate a sensor signal in response to the monitoring, the sensor signal being indicative of the subject's own heartbeat; and

a computer processor, configured to:

receive the sensor signal,

analyze the sensor signal, by comparing the subject's own heartbeat to a heartbeat previously exhibited by the subject,

based upon comparing the subject's own heartbeat to the heartbeat previously exhibited by the subject, identify whether the subject is in a pregnant state or a non-pregnant state, and

generate an output in response thereto.

2. The apparatus according to claim 1 , wherein the computer processor is configured to identify whether the subject is in the pregnant state or the non-pregnant state without determining a temperature of the subject.

3. The apparatus according to claim 1 , wherein the computer processor is configured to identify whether the subject is in the pregnant state or the non-pregnant state, using a machine-learning algorithm.

4. The apparatus according to claim 1 , wherein the subject's bed includes a mattress, and wherein the sensor is configured to be disposed within the subject's bed, underneath the mattress of the subject's bed.

5. The apparatus according to claim 1 , wherein the computer processor is configured to analyze the sensor signal, by comparing the subject's own heartbeat to a heartbeat that was previously exhibited by the subject during a pre-ovulation phase of a menstrual cycle of the subject.

6. Apparatus for monitoring a female subject, the apparatus comprising:

a sensor, configured:

to be disposed at a location selected from the group consisting of: upon the subject's bed, and within the subject's bed,

to monitor the subject, while the subject is in her bed, without requiring compliance of the subject, and

to generate a sensor signal in response to the monitoring, the sensor signal being indicative of the subject's respiratory rate; and

a computer processor, configured to:

receive the sensor signal,

analyze the sensor signal, by comparing the subject's respiratory rate to a respiratory rate previously exhibited by the subject,

based upon comparing the subject's respiratory rate to the respiratory rate previously exhibited by the subject, identify whether the subject is in a pregnant state or a non-pregnant state, and

generate an output in response thereto.

7. The apparatus according to claim 6 , wherein the computer processor is configured to identify whether the subject is in the pregnant state or the non-pregnant state without determining a temperature of the subject.

8. The apparatus according to claim 6 , wherein the computer processor is configured to identify whether the subject is in the pregnant state or the non-pregnant state, using a machine-learning algorithm.

9. The apparatus according to claim 6 , wherein the subject's bed includes a mattress, and wherein the sensor is configured to be disposed within the subject's bed, underneath the mattress of the subject's bed.

10. The apparatus according to claim 6 , wherein the computer processor is configured to analyze the sensor signal, by comparing the subject's respiratory rate to a respiratory rate that was previously exhibited by the subject during a pre-ovulation phase of a menstrual cycle of the subject.

Assignments (8)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 29, 2024
From: EARLYSENSE LTD.
To: HILL-ROM SERVICES, INC.
Reel/Frame 068436/0122 →
CORRECTIVE ASSIGNMENT TO CORRECT THE THE ASSIGNOR NAME PREVIOUSLY RECORDED AT REEL: 68149 FRAME: 136. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Aug 8, 2024
From: EARLYSENSE LTD.
To: HILL-ROM SERVICES, INC.
Reel/Frame 068515/0913 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2024
From: MATRY, RONEN
To: HILL-ROM SERVICES, INC.
Reel/Frame 068149/0136 →
SECURITY INTEREST Recorded Jul 21, 2022
From: EARLYSENSE LTD
To: KREOS CAPITAL VI (EXPERT FUND) L.P.
Reel/Frame 060575/0398 →
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 Oct 27, 2015
From: HALPERIN, AVNER; SHINAR, ZVIKA; MEGER, GUY; TSOREF, LIAT
To: EARLYSENSE LTD.
Reel/Frame 036887/0856 →
Continuity (7)
Continuation In Part 14726706 · Jun 1, 2015
Provisional Application 62045237 · Sep 3, 2014
Provisional Application 62057250 · Sep 30, 2014
Provisional Application 62088697 · Dec 8, 2014
Provisional Application 62102031 · Jan 11, 2015
Provisional Application 62152902 · Apr 26, 2015
Related Publication 20160058429A1 · Mar 3, 2016
Cited By (4)
US 12,220,112 US 12,426,858 US 12,661,019 US 12,697,037