PREGNANCY STATE MONITORING

• US 20160058429A1
• Filed: 09/02/2015
• Published: 03/03/2016
• Est. Priority Date: 09/03/2014
• Status: Active Grant

• Current Assignee: EarlySense Ltd.
• Original Assignee: EarlySense Ltd.
• Inventors: SHINAR, Zvika, MEGER, Guy, TSOREF, Liat, HALPERIN, Avner
• Granted Patent: US 10,172,593 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 10/0012 Ovulation-period determination for animals A61D17/002
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4343 Pregnancy and labour monitoring, e.g. for labour onset detection
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/6891 Furniture
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

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

1-25. -25. (canceled)

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

a sensor, configured to monitor the subject without requiring compliance of the subject, and to generate a sensor signal in response to the monitoring; and

a computer processor, 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.

27. The apparatus according to claim 26, 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.

28. The apparatus according to claim 26, wherein the sensor is configured to be disposed upon or within a bed of the subject, and is configured to monitor the subject automatically while the subject is in her bed.

29. The apparatus according to claim 26, 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.

30. The apparatus according to claim 26, wherein the computer processor is configured:

in response to the analyzing, to identify an aspect of the sensor signal selected from the group consisting of;

a cardiac-related aspect of the sensor signal, and a respiration-related aspect of the sensor signal, and

to identify whether the subject is in the pregnant state or the non-pregnant state, in response to the identified aspect.