Abstract: A method of monitoring symptoms of a person includes repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The data is transferred over virtual networks using virtual dispersive routing and stored in dispersive storage area networks (SANs). The data is classified as trusted, corrupted, invalid or uncertain, and/or as trusted, ambiguous and inadequate.

Abstract: A method of monitoring symptoms of a person includes repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The data is transferred over virtual networks using virtual dispersive routing and stored in dispersive storage area networks (SANs). The data is classified as trusted, corrupted, invalid or uncertain, and/or as trusted, ambiguous and inadequate.

Abstract: Apparatus, systems, and methods of health reporting are disclosed that enhance decision support and provide alerts when health deterioration or the need for intervention has been detected. Embodiments utilize combined pictorial representations (including physical, mental, and social health determinants) as an avatar or pictogram, comparing health status to a general or target population, and using different methods to represent and reinforce health status. The apparatus, systems, and methods further enable individuals to access their own medical records in a way that can be understood by them and therefore is more widely accessible. The invention enhances health reporting, improving utility, usability and desirability of health reporting tools.

Abstract: A method of monitoring symptoms of a person includes repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The data is transferred over virtual networks using virtual dispersive routing and stored in dispersive storage area networks (SANs). The data is classified as trusted, corrupted, invalid or uncertain, and/or as trusted, ambiguous and inadequate.

Abstract: Apparatus, systems, and methods of health reporting are disclosed that enhance decision support and provide alerts when health deterioration or the need for intervention has been detected. Embodiments utilize combined pictorial representations (including physical, mental, and social health determinants) as an avatar or pictogram, comparing health status to a general or target population, and using different methods to represent and reinforce health status. The apparatus, systems, and methods further enable individuals to access their own medical records in a way that can be understood by them and therefore is more widely accessible. The invention enhances health reporting, improving utility, usability and desirability of health reporting tools.

Abstract: A method of monitoring symptoms of a person includes repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The data is transferred over virtual networks using virtual dispersive routing and stored in dispersive storage area networks (SANs). The data is classified as trusted, corrupted, invalid or uncertain, and/or as trusted, ambiguous and inadequate.

Abstract: A method for granting access by a user to a computerized system includes first authenticating the user based on initial user authentication information and, every time upon a successful authentication: establishing a session, during which the user is granted the access to the computerized system; saving a resultant based on session-limited user authentication information; and using the saved resultant, during the established session, for authenticating the user for granting subsequent access by the user during the established session based on subsequent user authentication information that is manually entered. The subsequent access may include access following a period of inactivity by the user, or the subsequent access may include access to a sensitive area of the computerized system that is more secure than other areas of the computerized system to which access is granted upon the initial authentication.

Abstract: A user generates a single session passcode after a normal authentication has been used to access a system. This single session passcode thereafter is used to re-authenticate the user during the session without requiring the repeated use of the normal authentication. Such re-authentication may occur, for example, upon a timeout event, or when the user attempts to access resources, data, or areas within the system that are more secure than other resources, data, or areas within the system that are accessible following the start of the session.

Abstract: A method of correlating sonic activity with electric activity in an entity of interest includes interrogating, via a sonic sensor device, the physical structure, shape and/or form of an object in the entity of interest, interrogating, via an electric field sensor, the electric and/or magnetic potential associated with the object or the physical displacement of the geo-electric field by the object while avoiding resistive contact with other portions of the entity of interest, and linking results from the sonic sensor device to results from the electric field sensor.

Abstract: Methods and systems for sensing properties of an object or entity utilize non-resistive contact sensors alone or in combination with other sensors. The sensor data is utilized for detecting and visualizing properties of one or more biological or non-biological objects or entities.

Abstract: In an aspect, a method of monitoring one or more symptoms of a person include repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The one or more symbolic representations corresponding to one or more symptoms is selected using an electronic device having a component for displaying the predefined set of symbolic representations that is coupled to a user input for receiving the selection of the one or more symbolic representations by the person.

Abstract: A method of correlating sonic activity with electric activity in an entity of interest includes interrogating, via a sonic sensor device, the physical structure, shape and/or form of an object in the entity of interest, interrogating, via an electric field sensor, the electric and/or magnetic potential associated with the object or the physical displacement of the geo-electric field by the object while avoiding resistive contact with other portions of the entity of interest, and linking results from the sonic sensor device to results from the electric field sensor.

Abstract: Methods and systems for sensing properties of an object or entity utilize non-resistive contact sensors alone or in combination with other sensors. The sensor data is utilized for detecting and visualizing properties of one or more biological or non-biological objects or entities.

Abstract: Apparatus, systems, and methods of health reporting are disclosed that enhance decision support and provide alerts when health deterioration or the need for intervention has been detected. Embodiments utilize combined pictorial representations (including physical, mental, and social health determinants) as an avatar or pictogram, comparing health status to a general or target population, and using different methods to represent and reinforce health status. The apparatus, systems, and methods further enable individuals to access their own medical records in a way that can be understood by them and therefore is more widely accessible. The invention enhances health reporting, improving utility, usability and desirability of health reporting tools.

Abstract: Methods and systems for sensing properties of an object or entity utilize non-resistive contact sensors alone or in combination with other sensors. The sensor data is utilized for detecting and visualizing properties of one or more biological or non-biological objects or entities.

Abstract: A non-resistive contact sensor assembly includes an electric field sensor device, including a dielectric component for receiving an electrical signal from an object of interest and a signal processing component for processing the electrical signal, a voltage regulator for controlling voltage to the dielectric component and the signal processing component, and a common ground reference for the dielectric component and the signal processing component.

Abstract: A non-resistive contact sensor assembly includes an electric field sensor device, a cover, and a biasing structure. The electric field sensor devices has a dry electrode component for receiving an electrical signal from an object of interest by capacitively coupling with the entity. The signal processing component is surrounded or embedded in the cover. The biasing structure is disposed on the outside of the cover and is adapted to press the dry electrode component against a surface of the object interest when biased by an external structure.

Abstract: A non-resistive contact sensor assembly, includes a non-resistive contact sensor device, a first inner region of material in which the sensor device is surrounded or embedded, a boundary region, around the first inner region, that is at least partly comprised of a conducting material and that picks up electrical charge from the first inner region, a second inner region around the boundary region, an outer region around the second inner region, and at least one diode, disposed in the second inner region and connected between the boundary region through the second inner region to the outer region.

Abstract: A non-resistive contact sensor assembly includes an electric field sensor device, including a dielectric component for receiving an electrical signal from an object of interest and a signal processing component for processing the electrical signal, a voltage regulator for controlling voltage to the dielectric component and the signal processing component, and a common ground reference for the dielectric component and the signal processing component.

Abstract: A method of monitoring symptoms of a person includes repeating, over a period of time, the steps of: selecting, by the person, one or more symbolic representations corresponding to one or more symptoms from a predefined set of symbolic representations presented to the person; and electronically recording data regarding the one or more symbolic representations selected by the person such that the data is electronically accessible later for generating a history of the symptoms of the person over the period of time. The data is transferred over virtual networks using virtual dispersive routing and stored in dispersive storage area networks (SANs). The data is classified as trusted, corrupted, invalid or uncertain, and/or as trusted, ambiguous and inadequate.