Derivation of Non-intrusive Cardiac Synthetic Sensor Using Native Instrumentation Metadata

Measuring an event of interest is not always as simple as placing a sensor with the desired properties in an appropriate measurement location to observe the event. Often, sensors cannot be placed at the desired site for numerous reasons (e.g. weight, space, and power issues). The desired measurement can often be derived through the use of other embedded native sensors, networked sensors and test specific sensors possessing appropriate metadata supporting extended use / reuse of measurement data. These measures are then used within a performance model to fuse data and derive a composite measure for the overall performance taking into account all of the discrete parameters and their performance variations both good and bad in determining overall system performance. This paper utilizes concepts for metadata and sensors allowing seamless selection and construction of non-physical (non-contact) synthetic sensors using embedded sensors and native metadata specifications.