Abstract: A system and method are disclosed for computing a Health Score. Health data and extrinsic data are received that are parameters for computation of the Health Score. The received data can be combined using an algorithm being implemented as code executing in a processor so as to compute the Health Score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data. Further, the computed Health Score is output to an interface of the user device. Information concerning the parameters' interaction are selectively output to the interface that explain which changes in the parameters are significant drivers of the change in the Health Score.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: A unique health score computation method is disclosed which masks underlying health statistics, yet provides a benchmark for a variety of applications. A system and method for collecting health related information, processing the information into a composite numerical value, and publishing the value is provided. The system includes a computer having a processor, memory, and code modules executing in the processor for implementation of the method. Information concerning a plurality of intrinsic and extrinsic parameters of a user is collected. Weighting factors are applied to the parameter in order control the relative affect each parameter has on the user's calculated numerical. The health score is computed using the processor by combining the weighted parameters in accordance with an algorithm. The numerical value is published to a designated group via a portal, while the underlying parameters remain private. In one implementation, the portal is an internet based information sharing forum.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: There is shown and described a computer implemented system and method for analyzing an individual's personal stress level and providing a stress-score representing the individual's personal stress level. A plurality of parameters are received into a memory from at least one computing device and each of the parameters respectively represents a factor of the individual's life that contributes to a level of stress for the individual. The received parameter data is processed by executing code in a processor that configures the processor to normalize the parameter data by assigning, for each of the received parameters, a respective parameter score that represents a relative value of the parameter. The individual's stress-score is calculated as a function of the normalized parameter data, the stress-score is automatically transmitted to the at least one computing device, using code executing in the processor and free of human intervention.

Abstract: A remote microarray analysis system, method and apparatus for use in the remote analysis of a chemical compound microarray supported on a substrate is disclosed. Pixel image data is received from a remote location including image data that depicts (a) a calibration scale associated with the substrate and (b) the microarray. A transformation action of said pixel data corresponding to the calibration scale is determined and the received image data corresponding to at least the microarray is adjusted by applying the transformation action. The adjusted image of the microarray is compared with a database of stored microarray pixel data to extract information from said image.

Abstract: A remote microarray analysis system, method and apparatus for use in the remote analysis of a chemical compound microarray supported on a substrate is disclosed. Pixel image data is received from a remote location including image data that depicts (a) a calibration scale associated with the substrate and (b) the microarray. A transformation action of said pixel data corresponding to the calibration scale is determined and the received image data corresponding to at least the microarray is adjusted by applying the transformation action. The adjusted image of the microarray is compared with a database of stored microarray pixel data to extract information from said image.