Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.