Abstract: A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: Apparatus and methods are described including a motion sensor (30) that senses motion of a subject and generates a motion signal in response thereto. An oximetry sensor (86) measures oxygen saturation of the subject and generates an oximetry signal in response thereto. A control unit (14) analyzes the sensed motion and the sensed oximetry signal, and filters out false alerts relating to a condition of the subject generated by the oximetry signal, based on correlation between the oximetry signal and an aspect of the motion signal. Other embodiments are also described.

Abstract: Apparatus and methods are provided for use during endotracheal intubation of a subject, including an output unit, and at least one sensor configured to sense motion of the subject, and generate a signal responsively thereto. A control unit is configured to detect an aspect of the intubation by analyzing a component of the signal having a frequency of less than 20 Hz, and drive the output unit to generate an output indicative of the aspect of the intubation. 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 (10) is provided that includes at least one sensor (30), configured to sense a physiological parameter of a subject (12) and to sense large body movement of the subject (12), an output unit (24), and a control unit (14). The control unit (14) is configured to monitor a condition of the subject (12) by analyzing 5 the physiological parameter and the sensed large body movement, and to drive the output unit (24) to generate an alert upon detecting a deterioration of the monitored condition. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: Apparatus (10) is provided that includes at least one sensor (30), configured to sense a physiological parameter of a subject (12) and to sense large body movement of the subject (12), an output unit (24), and a control unit (14). The control unit (14) is configured to monitor a condition of the subject (12) by analyzing the physiological parameter and the sensed large body movement, and to drive the output unit (24) to generate an alert upon detecting a deterioration of the monitored condition. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Abstract: Methods and systems for monitoring vital signs for the prediction and treatment of physiological ailments are provided. The methods and systems may be applied to the monitoring of a broad range of physiological ailments or “episodes,” including, but not limited to, asthma, hypoglycemia, coughing, edema, sleep apnea, labor, and REM sleep stages, among others. The methods employ sensors, for example, non-contact sensors, adapted to detect vital signs, such as heart rate or respiration rate, to produce signals that can be analyzed for trends, for deviations, or for comparison to prior conditions or criteria. The sensors may be positioned whereby the subject need not be viewed by the health care provider. Some methods and systems employ the use of “scores” based upon the combination of sensed vital signs or based upon a comparison of the vital signs to criteria.

Abstract: A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: A method for detecting malicious activity in a computer network including deploying one or more suspicious event sensors, each sensor operative to detect a predefined suspicious event on at least one computer, logging any suspicious events detected by the sensors during normal operation of the network when no malicious activity is present, calculating a statistical distribution of the logged events, comparing the results of the event sensors to the statistical distribution and determining the probability of the result against a predefined threshold, and activating any of an alarm and a defense mechanism where the probability exceeds the predefined threshold.

Abstract: A method for malicious software detection including grouping a plurality of computing devices in a network into at least two groups, measuring a normal operation value of at least one operating parameter of any of the groups, and detecting a change in the value to indicate possible malicious software behavior within the network.

Abstract: A computer virus detection and containment system is provided including at least one computer configured with at least one decoy address, and a server operative to identify activity occurring at the computer, the activity involving the decoy address.

Abstract: A scanning communicator for use with a bar code and an electronic label including at least one optical transceiver and circuitry operative to cause the optical transceiver to scan the bar code while in a bar code scanning mode and communicate with the electronic label while in an electronic label communications mode.