METHOD OF PREDICTING A STABILIZATION TEMPERATURE OF A HEAT-FLOW SENSOR

Abstract

The invention describes a method of predicting a stabilization temperature (T.sub.) of a subject (8) by means of a heat-flow sensor (1) comprising a plurality of thermistors (S1, S2, S1A, S2A, S1B, S2B), which method comprises the steps of expressing the temperature development of the heat-flow sensor (1) as a stretched exponential equation characterized by a time constant () and a sensor characteristic scalar value (m); receiving temperature measurement values (T1, T2, T3, T4) collected by the thermistors (S1, S2, S1A, S2A, S1B, S2B); estimating the time constant () on the basis of the temperature measurement values (T1, T2, T3, T4); and deducing the future stabilization temperature (T.sub.) on the basis of the estimated time constant (). The invention further describes heat-flow sensor (1) and a temperature sensing arrangement (9).

Claims

1. A method of predicting a stabilization temperature (T.sub.28) of a subject by means of a heat-flow sensor comprising a plurality of thermistors, which method comprises the steps of expressing a temperature development of the heat-flow sensor as a stretched exponential equation characterized by a time constant () and a sensor characteristic scalar value (m); receiving temperature measurement values collected by the thermistors; estimating the time constant () on the basis of the temperature measurement values; and deducing a future stabilization temperature (T.sub.) on the basis of the estimated time constant ().

2. The method according to claim 1, wherein the stretched exponential equation is further expressed in terms of an initial temperature (T.sub.0).

3. The method according to claim 1, comprising a step of averaging an initial set of temperature measurement values to estimate an initial temperature (T.sub.0).

4. The method according to claim 1, further comprising the steps of approximating a first derivative of the stretched exponential equation on the basis of the received temperature measurement values; and identifying a maximum of the first derivative of the stretched exponential equation.

5. The method according to claim 4, further comprising the steps of identifying a first relationship relating to the maximum of the first derivative of the stretched exponential equation in terms of the time constant () and the sensor characteristic; and identifying a second relationship expressing a ratio of first derivatives of the stretched exponential equation in terms of the time constant () and the sensor characteristic.

6. The method according to claim 5, further comprising the step of solving the first and second relationships to determine the time constant () and the sensor characteristic, and subsequently solving the stretched exponential equation to predict the stabilization temperature (T.sub.).

7. The method according to claim 1, further comprising the steps of fitting a plurality of curves to the received temperature measurement values and identifying the time constant () from an intersection point of the plurality of fitted curves.

8. The method according to claim 7, further comprising the step of computing a sensed temperature (T.sub.) on the basis of temperature measurement values collected at the identified time constant (), and subsequently solving the stretched exponential equation to predict the stabilization temperature (T.sub.).

9. A heat-flow sensor comprising at least one thermistor pair, with an inner thermistor at an inner face of the heat-flow sensor and an outer thermistor at an outer face of the heat-flow sensor; and an evaluation unit arranged to receive temperature measurement values from the thermistors and to predict a stabilization temperature (T.sub.) of a subject by: expressing a temperature development of the heat-flow sensor as a stretched exponential equation characterized by a time constant () and a sensor characteristic scalar value (m); receiving temperature measurement values collected by the thermistors; estimating the time constant () on the basis of the temperature measurement values: and deducing a future stabilization temperature (T.sub.) on the basis of the estimated time constant ().

10. A temperature sensing arrangement for monitoring the temperature of a subject, comprising a heat-flow sensor with at least one thermistor pair comprising an inner thermistor at an inner face of the heat-flow sensor and an outer thermistor at an outer face of the heat-flow sensor; and an evaluation unit arranged to receive temperature measurement values from the thermistors and to predict a stabilization temperature (T.sub.) of the subject by: expressing a temperature developmemt of the heat-flow sensor as a stretched exponential equation characterized by a time constant () and a sensor characteristic scalar value (m), receiving temperature measurement values collected by the thermistors; estimating the time constant () on the basis of the temperature measurement values; and deducing a future stabilization (T.sub.) on the basis of the estimated time constant ().

11. The temperature sensing arrangement according to claim 10, wherein the heat-flow sensor comprises one thermistor pair.

12. The temperature sensing arrangement according to claim 10, wherein the heat-flow sensor comprises at least two thermistor pairs.

13. The temperature sensing arrangement according to claim 10 further comprising a cable connection between the heat-flow sensor and the evaluation unit.

14. The temperature sensing arrangement according to claim 10, wherein the heat-flow sensor comprises a wireless interface for transmitting the temperature measurement values to the evaluation unit.

15. The temperature sensing arrangement according to claim 10, wherein the evaluation unit is realized as a portable device.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0033] FIG. 1 shows temperature development in a heat-flow sensor applied to a subject and a curve fitted to a stabilization temperature predicted using the inventive method;

[0034] FIG. 2 shows a family of six fitted curves determined by applying an embodiment of the method according to the invention.

[0035] FIG. 3 shows a heat-flow sensor according to a first embodiment of the invention;

[0036] FIG. 4 shows a heat-flow sensor according to a second embodiment of the invention;

[0037] In the drawings, like numbers refer to like objects throughout. Objects in the diagrams are not necessarily drawn to scale.

DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] FIG. 1 shows experimental data illustrating the closeness of the inventive approach to the actual development of temperature in a heat-flow sensor applied to a subject. The diagram shows a graph 10 of sensed temperatures, commencing at an initial temperature T.sub.0; a second graph 11 obtained by ex-post curve fitting applying the least squares method to the complete set of sensed temperatures; and a third graph 12 obtained using the method according to the invention, requiring only temperature measurement values collected up until the estimated time constant . The diagram clearly shows that the predicted stabilization temperature T.sub. is essentially identical to the plateau of the fitted curve 11, showing that the predicted core body temperature T.sub. is a very close match to the actual steady-state temperature of the subject. A prior art passive heat-flow sensor must first finish warming up in order to report the sensed core body temperature. This can take a relatively long time, shown here at time t.sub.w after about 13 minutes. In contrast, the core body temperature predicted by the inventive method can be provided in a much shorter time t.sub.p, since the prediction can be made as soon as the temperature development can be analyzed to determine the maximum of the derivative, or to determine the intersection point of a fitted curve family, using one of the inventive methods described above. The core body temperature can be predicted reliably after a favorably short interval of only a few minutes.

[0039] FIG. 2 illustrates the second approach described above, and shows a family of six fitted curves 30-35 for equation (3) with different values of m, obtained by curve-fitting to an initial set of measured temperature values. The flattest fitted curve 30 corresponds to m=0.5, while the steepest fitted curve 35 was obtained for m=3.0. The curves intersect at a point whose x-coordinate is the time constant . Once this intersection point is determined, a temperature measurement value T.sub. can be obtained for that time instant . Knowing the initial temperature T.sub.0, equation (3) can then be solved for the core body temperature T.sub.28 .

[0040] FIG. 3 shows a temperature sensing arrangement 9 according to a first embodiment of the invention, in which the heat-flow sensor 1 is realized as a single heat-flow sensor 1. This can be securely attached to the subject 8, for example to the skin of a patient 8. A first thermistor S1 is arranged at an inner face of the sensor 1, and will lie in close contact to the patient's skin. A second thermistor S2 is arranged at the outer surface of the sensor 1. The thermal resistivity R1 of the sensor 1 is indicated by the resistor symbol. A further resistor symbol indicates the thermal resistivity R.sub.B of the body to which the sensor 1 is attached.

[0041] Obtaining a sensed temperature at any one point in time using the sensor 1 involves collecting the temperature measurement values from the thermistors S1, S2, and calculating a sensed temperature using knowledge of the heat flux through the sensor 1. To compute the sensed temperature using the single heat-flow sensor, it is also necessary to determine or estimate the thermal resistivity of the skin, which may vary from patient to patient. The sensed body temperature may be calculated using equation (1) as already described above. To this end, the measurement values collected by the thermistors S1, S2 are sent to an evaluation unit 3 via a cable 2. A microprocessor 4 of the evaluation unit 3 performs the necessary computations, for example to estimate the time t.sub.max at which the first derivative reaches a maximum, and to compute a ratio R of first derivatives. For the computed values of time t.sub.max and first derivatives ratio R, a look-up-table 5 can supply candidate values for the time constant and the sensor characteristic value m. This allows equation (3) to be solved for the core body temperature T.sub.28 . Of course, the microprocessor can also be programmed to carry out the curve-fitting approach in order to identify the intersection point and the time constant as described above. A display 6 can show the predicted core body temperature T.sub. as soon as this has been determined (at about time t.sub.p), and also the actual temperature development curve 10 (as shown in FIG. 1) as time progresses.

[0042] FIG. 4 shows a temperature sensing arrangement 9 according to a second embodiment of the invention, with a dual heat-flow sensor 1. Here, the first thermistor S1A of a first thermistor pair and the first thermistor S2A of a second thermistor pair are arranged at the inner face of the sensor 1, and will lie in close contact to the patient's skin. The second thermistor S1B of the first thermistor pair and the second thermistor S2B of the second thermistor pair are arranged at the outer surface of the sensor 1. The thermal resistivity R1 between the thermistors of the first thermistor pair S1A, S1B, and the thermal resistivity R2 between the thermistors of the second thermistor pair S2A, S2B are indicated by the resistor symbols. A further resistor symbol indicates the thermal resistivity R.sub.B of the body to which the sensor 1 is attached, but it is not necessary to actually know this value when using a dual heat-flow sensor.

[0043] Here also, obtaining a temperature measurement at any one point in time using the sensor 1 involves collecting the temperature measurement values from the thermistors S1A, S1B, S2A, S2B and calculating a sensed temperature using knowledge of the heat flux through the sensor 1. A sensed temperature measurement may be calculated using equation (2) as already described above. In this embodiment, the thermistors feed their values to an interface 7. This can include an evaluation unit as described in FIG. 3 above and a wireless interface for sending the predicted core body temperature T and the sensed temperatures over a wireless connection to a display. Alternatively, the interface 7 can simply transmit the temperature measurement values T1, T2, T3, T4 to an external evaluation unit for analyzing the measured temperature values T1, T2, T3, T4 to compute the sensed temperature for each sample, and to predict the core body temperature as described above. Of course, the sensor can be realized to include an evaluation unit as well as a display, as described above.

[0044] Although the present invention has been disclosed in the form of preferred embodiments and variations thereon, it will be understood that numerous additional modifications and variations could be made thereto without departing from the scope of the invention.

[0045] For the sake of clarity, it is to be understood that the use of a or an throughout this application does not exclude a plurality, and comprising does not exclude other steps or elements. The mention of a unit or a module does not preclude the use of more than one unit or module.