Electronic Thermometer Readings (SSC-00006)
NASA Stennis¿ adaptive predictive algorithm for electronic thermometers uses sample readings during the initial rise in temperature and applies an algorithm that accurately and rapidly predicts the steady state temperature. The final steady state temperature of an object can be calculated based on the second-order logarithm of the temperature signals acquired by the sensor and predetermined variables from the sensor characteristics. These variables are calculated during tests of the sensor. Once the variables are determined, relatively little data acquisition and data processing time by the algorithm is required to provide a near-accurate approximation of the final temperature. This reduces the delay in the steady state response time of a temperature sensor. This advanced algorithm can be implemented in existing software or hardware with an erasable programmable read-only memory (EPROM). The capability for easy integration eliminates the expense of developing a whole new system that offers the benefits provided by NASA Stennis¿ technology.
Commercial Opportunity It can improve the response time of existing sensors without additional sensor development or creating a new sensor, all without sacrificing accuracy. It can be used with various types of temperature sensors and potentially other types of sensors, and it can be implemented with erasable programmable read-only memory (EPROM) in existing systems.
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