Earlysense Ltd.

Hill-rom Services, Inc.

Tel Aviv University

Zvika Shinar

Guy Meger

Avner Halperin

Liat Tsoref

Tal Klap

Maayan Davidovich

Roman Karasik

Smadar Hoffert

Shiraz Levkovich

Yaniv Katz

Maayan Lia Yizraeli Davidovich

Daniel H Lange

Solange Akselrod

Arkadi Averboukh

Armanda Lia Baharav

Apparatus and methods are described for use of a sensor for monitoring a subject generate a sensor signal in response to the monitoring. Also disclosed is a computer processor to analyze the signal, and in response thereto, identify a correspondence between positions of the subject and occurrences of health events of the subject, and generate an output on the output device, in response to the identified correspondence. Other applications are also described.

Apparatus and methods for monitoring a subject

Apparatus and methods are described including using a sensor to monitor a sleeping subject and generate a signal in response to the monitoring. A control unit is used to accept an input indicative of a person desiring to perform an activity that is potentially disturbing to the sleep of the subject, analyze the sensor signal, in response to the analyzing, identify a time during which the activity is likely to be less disturbing to the sleep of the subject, relative to another time, and generate a notification indicating a suitability of performing the activity at the identified time. Other applications are also described.

Apparatus and methods for monitoring a sleeping subject

Apparatus and methods are described for monitoring a subject. A sensor monitors the subject and generates a sensor signal in response thereto and a plurality of filters are used to filter the sensor signal using respective filter parameters. A computer processor receives the sensor signal, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Subsequently, the computer processor detects that the subject has undergone motion, by analyzing the sensor signal, and in response thereto, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Other applications are also described.

Apparatus and methods are described, including apparatus for use with a subject who shares a bed with a second person. A motion sensor detects motion of the subject and motion of the second person, and generates a motion signal in response thereto. A control unit identifies components of the motion signal that were generated in response to motion of the subject, by distinguishing between components of the motion signal that were generated in response to motion of the subject, and components of the motion signal that were generated in response to motion of the second person. The control unit analyzes the components of the motion signal that were generated in response to motion of the subject and generates an output in response thereto. Other applications are also described.

Monitoring a sleeping subject

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.

Menstrual state monitoring

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.

Pregnancy state monitoring

Apparatus is described for use with a burglar alarm that includes a detector configured to detect activity and to generate an activity-detection signal in response thereto. A sensor monitors a resting surface and generates a signal in response thereto. A control unit identifies a correspondence between (a) the activity-detection signal, and (b) the signal that is generated by the sensor. The control unit inhibits the burglar alarm from being triggered, in response to the correspondence. Other applications are also described.

Burglar alarm control

Apparatus for monitoring a subject is described. A sensor detects monitors the subject and generates a signal in response thereto. A control unit analyzes the signal, and in response to the analyzing, identifies a clinical parameter of the subject. The control unit received an indication of a menstrual cycle of the subject. Taking into account the subject's menstrual cycle, the control unit identifies a baseline value of the clinical parameter, compares the identified clinical parameter to the baseline value, and, in response to the comparing, the control unit (a) determines whether a clinical episode is predicted, (b) determines whether a clinical episode is currently occurring, and/or (c) monitors an occurring clinical episode. The control unit generates an output in response thereto. Other applications are also described.

Monitoring a condition of a subject

Apparatus for monitoring a clinical condition of a subject is described. A motion sensor monitors the subject, and generates a signal in response thereto. A control unit analyzes the signal, and, in response to the analyzing, (a) identifies a sleep stage of the subject, and (b) identifies a clinical parameter of the subject in the identified sleep stage. The control unit monitors the clinical condition, by comparing the clinical parameter to a baseline clinical parameter for the identified sleep stage, and generates an output in response thereto. Other applications are also described.

Apparatus and methods are provided for use with a subject who is undergoing respiration. A motion sensor senses motion of a subject. A breathing pattern analysis unit analyzes components of the sensed motion that result from the subject's respiration. The breathing pattern analysis unit includes double-movement-respiration-cycle-pattern-identification functionality that designates respiration cycles as being double-movement-respiration-cycles (DMRC's) by determining that the cycles define two subcycles. Double-movement-respiration-cycle-event-identification functionality of the breathing pattern analysis unit identifies a DMRC event by detecting that the subject has undergone a plurality of DMRC's. An output is generated that is indicative of the subject having used accessory muscles in breathing, in response to identification of the double-movement-respiration-cycle event. Other embodiments are also described.

Monitoring, predicting and treating clinical episodes

A method of predicting an onset of apnea is described. Motion of a subject, including at least breathing-related motion, is sensed, and a signal corresponding to the sensed motion is generated. A breathing-related signal is extracted from the sensed motion signal, and the onset of apnea is predicted at least partially in response to analyzing the breathing-related signal. Other applications are also described.

Apparatus and methods are described including a mechanical sensor configured to detect a physiological signal of a subject. A control unit receives the signal over a time duration of at least two hours at a given period of a first baseline day, and determines a baseline physiological parameter of the subject in response thereto. The control unit receives the signal over a time duration of at least two hours at a given period of a second day, the period on the second day overlapping with the period over which the signal is detected on the first baseline day. The control unit determines a physiological parameter of the subject based upon the detected signal on the second day, and compares the parameter to the subject's baseline physiological parameter. The control unit generates an alert in response to the comparison. Other applications are also described.

A method of determining sleep stages from signals of electrical activity recorded of a chest of a sleeping subject, the signals being measured over a plurality of epochs. The method comprising: (a) extracting a series of cardiac R-R intervals from the signals and obtaining a time-frequency decomposition from the series of cardiac R-R intervals; (b) using the time-frequency decomposition to determine at least one Slow-Wave-Sleep (SWS) period and at least one Non-SWS (NSWS) period; (c) from the at least one NSWS period, determining at least one sleep-onset (SO) period and a plurality of non-sleep periods; (d) extracting a plurality of electromyogram (EMG) parameters from a portion of the signals, the portion corresponds to a NSWS period other than the at least one SO period and other than the plurality of non-sleep period; (e) using the plurality of EMG parameters to determine at least one REM period thereby also to obtain also at least one light-sleep (LS) period defined as a NSWS period other than the SO periods, other than the non-sleep periods and other than the REM periods; thereby determining the sleep stages of the sleeping subject.

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Binyamina, Israel

Zvika Shinar