Temperature prediction system and method
AssigneeCardinal Health 303, Inc.
InventorRobert Butterfield
Life of this patent
Estimating the term…
Abstract
A thermometer system and method that rapidly predict body temperature based on the temperature signals received from a temperature sensing probe when it comes into contact with the body. A nonlinear, multi-parameter curve fitting process is performed and depending on the errors in the curve fit, parameters are changed or a prediction of the temperature is made. Criteria exist for the differences between the curve fit and the temperature data. The processor switches to a Continuous Monitor State if the curve fit over a limited number of time frames is unacceptable. Determining the start time on which the measurement time frame for prediction is based is performed by tissue contact threshold coupled with a prediction time delay.
Claims38
A thermometer for determining the temperature of a subject, comprising:
- a sensor that provides temperature signals in response to sensing the temperature of the subject, the temperature signals varying in time;
- and
- a processor configured to:
- monitor the temperature signals;
- adapt a variable shape, nonlinear, multi-parameter model temperature curve to the monitored temperature signals;
- compare the model temperature curve to the monitored temperature signals;
- and
- if the differences between the model temperature curve and the monitored temperature signals do not exceed a threshold, predict the temperature of the subject based on the model curve.
A method for determining the temperature of a subject, comprising:
- sensing the temperature of the subject;
- providing temperature signals based on the sensing, the temperature signals varying in time;
- monitoring the temperature signals;
- adapting a variable shape, nonlinear, multi-parameter model temperature curve to the monitored temperature signals;
- comparing the model temperature curve to the monitored temperature signals;
- and
- if the differences between the model temperature curve and the monitored temperature signals do not exceed a threshold, predicting the temperature of the subject based on the model curve.
The method of claim 25 further comprising using the sum squared error in selecting the A and B parameters given the C and E parameters.
Dependencies are inferred from the claim text.