Menstrual state monitoring
Apparatus and methods are described for monitoring a female subject. A sensor is configured to monitor the subject without contacting the subject or clothes the subject is wearing, and without viewing the subject or clothes the subject is wearing, and to generate a sensor signal in response to the monitoring. A computer processor is configured to receive the sensor signal, and to analyze the sensor signal. In response to the analyzing, the computer processor is configured to automatically identify a menstrual state of the subject, and to generate an output in response thereto. Other applications are also described.
1. A monitoring apparatus for monitoring a female subject, during a sleeping session, the monitoring apparatus comprising:
a sensor configured to monitor the subject and to generate a sensor signal in response to the monitoring,
the sensor comprising a semi-rigid sensor plate having edges that are hardened with respect to a central portion of the sensor plate, the hardened edges configured to allow only direct forces generated from on top of the sensor to affect the sensor plate such as to generate the sensor signal; and
a computer processor, configured:
to receive the sensor signal,
to derive from the sensor signal data related to one or more physiological parameters of the subject during the sleeping session,
using the derived data, to identify sleep stages of the subject during the subject's sleeping session,
to identify a menstrual state of the subject,
in response to
(A) comparing over a plurality of sleeping sessions (i) the one or more physiological parameters exhibited while an identified sleep stage is a particular sleep stage to (ii) respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while an identified sleep stage is not the particular sleep stage, and
to generate an output to the subject indicating her menstrual state in response to the identified menstrual state of the subject.
2. The monitoring apparatus according to claim 1 , wherein the computer processor is configured to identify the subject's menstrual state without determining a temperature of the subject.
3. The monitoring apparatus according to claim 1 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output that is indicative of a menstrual state of the subject that is currently occurring.
4. The monitoring apparatus according to claim 1 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output that is indicative of a predicted occurrence of a future menstrual state of the subject.
5. The monitoring apparatus according to claim 1 , wherein the computer processor is configured to identify the menstrual state of the subject, using a machine-learning algorithm.
6. The monitoring apparatus according to claim 1 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output indicating that the subject is likely to ovulate within a given time period that is less than 10 days.
7. The monitoring apparatus according to claim 1 ,
wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output indicating that the subject is likely to experience premenstrual syndrome (PMS) within a given time period that is less than three days.
8. The monitoring apparatus according to claim 1 , wherein the computer processor is configured:
to derive the data related to the one or more physiological parameters of the subject during the sleeping session, by deriving data related to one or more physiological parameters of the subject selected from the group consisting of: a cardiac-related physiological parameter, and a respiration-related physiological parameter.
9. The monitoring apparatus according to claim 1 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing slow-wave sleep, and when the subject is not undergoing slow-wave sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is undergoing slow-wave sleep to (ii) the respective baseline values of the one or more physiological parameters
and substantially not in response to
(B) physiological parameters exhibited while the subject is not undergoing slow-wave sleep.
10. The monitoring apparatus according to claim 1 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing REM sleep, and when the subject is not undergoing REM sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is undergoing REM sleep to (ii) the respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while the subject is not undergoing REM sleep.
11. The monitoring apparatus according to claim 1 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing REM sleep, and when the subject is not undergoing REM sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is not undergoing REM sleep to (ii) the respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while the subject is undergoing REM sleep.
12. A monitoring apparatus for monitoring a female subject, during a sleeping session, the monitoring apparatus comprising:
a sensor configured to monitor the subject and to generate a sensor signal in response to the monitoring,
the sensor comprising a semi-rigid sensor plate having edges that are hardened with respect to a central portion of the sensor plate, the hardened edges configured to allow only direct forces generated from on top of the sensor to affect the sensor plate such as to generate a sensor signal; and
a computer processor, configured:
to receive the sensor signal,
to derive from the sensor signal data related to one or more physiological parameters of the subject selected from the group consisting of: a cardiac-related physiological parameter of the subject during the sleeping session, and a respiration-related physiological parameter of the subject during the sleeping session,
using the derived data, to identify sleep stages of the subject during the subject's sleeping session,
to identify a menstrual state of the subject,
in response to
(A) comparing over a plurality of sleeping sessions (i) the one or more physiological parameters exhibited while an identified sleep stage is a particular sleep stage to (ii) respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while an identified sleep stage is not the particular sleep stage, and
to generate an output in response to the identified menstrual state of the subject.
13. The monitoring apparatus according to claim 12 , wherein the computer processor is configured to identify the subject's menstrual state without determining a temperature of the subject.
14. The monitoring apparatus according to claim 12 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output that is indicative of a menstrual state of the subject that is currently occurring.
15. The monitoring apparatus according to claim 12 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output that is indicative of a predicted occurrence of a future menstrual state of the subject.
16. The monitoring apparatus according to claim 12 , wherein the computer processor is configured to identify the menstrual state of the subject, using a machine-learning algorithm.
17. The monitoring apparatus according to claim 12 , wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output indicating that the subject is likely to ovulate within a given time period that is less than 10 days.
18. The monitoring apparatus according to claim 12 ,
wherein the computer processor is configured to generate the output in response to the identified menstrual state of the subject, by generating an output indicating that the subject is likely to experience premenstrual syndrome (PMS) within a given time period that is less than three days.
19. The monitoring apparatus according to claim 12 , wherein the selected physiological parameter is the cardiac-related physiological parameter of the subject during the sleeping session, and the computer processor is configured to derive the data related to the cardiac-related physiological parameter of the subject during the sleeping session by deriving data related to heart rate variability (HRV) of the subject during the sleeping session.
20. The monitoring apparatus according to claim 12 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing slow-wave sleep, and when the subject is not undergoing slow-wave sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is undergoing slow-wave sleep to (ii) the respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while the subject is not undergoing slow-wave sleep.
21. The monitoring apparatus according to claim 12 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing REM sleep, and when the subject is not undergoing REM sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is undergoing REM sleep to (ii) the respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while the subject is not undergoing REM sleep.
22. The monitoring apparatus according to claim 12 , wherein:
the computer processor is configured to identify sleep stages of the subject during the subject's sleeping session by using the derived data to identify when the subject is undergoing REM sleep, and when the subject is not undergoing REM sleep, during the subject's sleeping session; and
the computer processor is configured to identify the menstrual state of the subject,
in response to
(A) comparing over the plurality of sleeping sessions (i) the one or more physiological parameters exhibited while the subject is not undergoing REM sleep to (ii) the respective baseline values of the one or more physiological parameters,
and substantially not in response to
(B) physiological parameters exhibited while the subject is undergoing REM sleep.
23. The monitoring apparatus according to claim 12 , wherein:
the selected one or more physiological parameters are the cardiac-related physiological parameter of the subject during the sleeping session and the respiration-related physiological parameter of the subject during the sleeping session, and
the computer processor is configured to:
identify the menstrual state of the subject in response to
(A) comparing over a plurality of sleeping sessions (i) the cardiac-related physiological parameter exhibited while the identified sleep stage is the particular sleep stage and the respiration-related physiological parameter exhibited while the identified sleep stage is the particular sleep stage to (ii) respective baseline values of the cardiac-related physiological parameter and the respiration-related physiological parameter,
and substantially not in response to
(B) physiological parameters exhibited while an identified sleep stage is not the particular sleep stage.