TWI745720B - System and method for enhancing accuracy of body surface temperature measurement - Google Patents

Abstract

A system for enhancing accuracy of the body surface temperature measurement includes: a core body temperature sensor configured to obtain a core body temperature data of an user, a heart rate sensor configured to obtain a heart rate data of the user, a physical indicator sensor configured to obtain at least one physical indicator of the user, a body surface temperature sensor configured to obtain a body surface temperature data of the user, an environment temperature sensor configured to obtain an environment temperature data, a humidity sensor configured to obtain an environment humidity data, and an arithmetic unit. The arithmetic unit is configured to calculate a representative feature temperature data of the user according to the core temperature data, the heart rate data, at least one physical indicator, the body surface temperature data, the environment temperature data, and the environment humidity data.

Description

System for enhancing the accuracy of body surface temperature measurement And method

The embodiment of the disclosure relates to a system for enhancing the accuracy of body surface temperature measurement, and more particularly to a system and method for enhancing the accuracy of body surface temperature measurement.

Body temperature change is an important indicator of many infectious diseases, so the accuracy of the measurement of the body surface temperature of the human body is very important. Generally speaking, the body surface temperature of the human body will be affected by many factors, which will interfere with the accuracy of the measurement. These factors can be divided into endogenous factors and exogenous factors. The internal factors are, for example, age. , Gender, Body Mass Index (BMI), physiological clock, physical activity, measurement location, etc. External factors such as ambient room temperature, ambient humidity, etc.

Traditionally, when measuring the body surface temperature of the human body, the above-mentioned physiological indicators and environmental factors that affect the accuracy of the measurement are not taken into consideration, resulting in poor accuracy of the body surface temperature measurement, so development is needed one A system and method for enhancing the accuracy of body surface temperature measurement.

The purpose of this disclosure is to propose a system for enhancing the accuracy of body surface temperature measurement, including: core temperature sensor, heart rate sensor, physiological index sensor, body surface temperature sensor, and ambient temperature sensor Calculator, humidity sensor and computing unit. The core temperature sensor is used to obtain the user's core temperature data. The heart rate sensor is used to obtain the user's heart rate data. The physiological index sensor is used to obtain at least one physiological index of the user. The body surface temperature sensor is used to obtain the user's body surface temperature data. The environmental temperature sensor is used to obtain the environmental temperature data of the user's environment. The humidity sensor is used to obtain the environmental humidity data of the user's environment. The computing unit is electrically connected to the core temperature sensor, the heart rate sensor, the physiological index sensor, the body surface temperature sensor, the environmental temperature sensor, and the humidity sensor. The computing unit is used to compute representative characteristic temperature data of the user based on core temperature data, heart rate data, at least one physiological index, body surface temperature data, environmental temperature data, and environmental humidity data.

In some embodiments, the aforementioned physiological indicators include: calorie consumption, number of moving steps, and/or speed and displacement information provided by a gravity sensor.

In some embodiments, the arithmetic unit uses a statistical model to calculate the representative characteristic temperature data, wherein the statistical model used by the arithmetic unit and the multiple parameters included in the statistical model are related to the user's basic data.

In some embodiments, the basic data of the user includes at least one of the following: the age of the user, the gender of the user, and the affected ethnic group of the user.

In some embodiments, the aforementioned computing unit uses a linear regression model to compute representative characteristic temperature data.

The purpose of this disclosure is to provide another method for enhancing the accuracy of body surface temperature measurement. The method includes: obtaining the user’s core temperature data, heart rate data, at least one physiological index and body surface temperature data; and obtaining the user’s environment Ambient temperature data; obtain the environmental humidity data of the user’s environment; calculate the user’s representative characteristics based on core temperature data, heart rate data, at least one physiological index, body surface temperature data, environmental temperature data, and environmental humidity data Temperature information.

In some embodiments, the aforementioned physiological indicators include: calorie consumption, number of moving steps, and/or speed and displacement information provided by a gravity sensor.

In some embodiments, the above-mentioned representative characteristic temperature data is calculated by using a statistical model, wherein the used statistical model and the multiple parameters included in the statistical model are related to the user's basic data.

In some embodiments, the basic data of the user includes at least one of the following: the age of the user, the gender of the user, and the affected ethnic group of the user.

In some embodiments, the above-mentioned representative characteristic temperature data is calculated by using a linear regression model.

In order to make the above-mentioned features and advantages of this disclosure more obvious and understandable, The following specific examples are given in conjunction with the accompanying drawings to describe in detail as follows.

100‧‧‧System for enhancing the accuracy of body surface temperature measurement

110‧‧‧Core temperature sensor

120‧‧‧Heart rate sensor

130‧‧‧Physiological Index Sensor

140‧‧‧Body Surface Temperature Sensor

150‧‧‧Ambient temperature sensor

160‧‧‧Humidity Sensor

170‧‧‧Computer unit

1000‧‧‧Method for enhancing the accuracy of body surface temperature measurement

1100, 1200, 1300‧‧‧step

From the following detailed description in conjunction with the accompanying drawings, a better understanding of the aspect of the present disclosure can be obtained.

[Figure 1] is a schematic diagram of a system for enhancing the accuracy of body surface temperature measurement according to an embodiment of the present disclosure.

[Fig. 2] is a flowchart of a method for enhancing the accuracy of body surface temperature measurement according to an embodiment of the present disclosure.

The embodiments of the present disclosure are discussed in detail below. However, it can be understood that the embodiments provide many applicable concepts, which can be implemented in various specific contents. The discussed and disclosed embodiments are for illustration only, and are not intended to limit the scope of this disclosure.

FIG. 1 is a schematic diagram of a system 100 for enhancing the accuracy of body surface temperature measurement according to an embodiment of the disclosure. The system 100 for enhancing the accuracy of body surface temperature measurement includes: a core temperature sensor 110, a heart rate sensor 120, a physiological index sensor 130, a body surface temperature sensor 140, and an ambient temperature sensor 150 , Humidity sensor 160 and arithmetic unit 170. As shown in FIG. 1, the computing unit 170 is electrically connected to the core temperature sensor 110, the heart rate sensor 120, the physiological index sensor 130, the body surface temperature sensor 140, the environmental temperature sensor 150, and the humidity sensor.器160.

In the embodiment of the present disclosure, the core temperature sensor 110, the heart rate sensor 120, the physiological index sensor 130, and the body surface temperature sensor 140 are provided in a wearable device (such as a smart hand) worn by the user. Ring etc.). The core temperature sensor 110 is used to obtain core body temperature data of the user. The heart rate sensor 120 is used to obtain the user's heart rate data. The physiological indicator sensor 130 is used to obtain at least one physical indicator of the user. In the disclosed embodiment, the physiological indicator is, for example, but not limited to: calorie consumption, number of moving steps, and/or gravity sensing. The speed and displacement information provided by the G sensor, etc. The body surface temperature sensor 140 is used to obtain the body surface temperature data of the user.

In an embodiment of the present disclosure, the core temperature data obtained by the core temperature sensor 110 includes multiple core temperatures obtained through continuous measurement. In another embodiment of the present disclosure, the core temperature data obtained by the core temperature sensor 110 is a single core temperature measured at the current time. In an embodiment of the present disclosure, the heart rate data obtained by the heart rate sensor 120 includes multiple heart rates obtained through continuous measurement. In another embodiment of the present disclosure, the heart rate data obtained by the heart rate sensor 120 is the single heart rate measured at the current time. In an embodiment of the present disclosure, the physiological index obtained by the physiological index sensor 130 is obtained through continuous measurement. For example, the physiological indicators can be multiple calories consumed by continuous measurement, multiple movement steps obtained by continuous measurement, and/or multiple speeds and displacements provided by gravity sensor obtained by continuous measurement. News. In another embodiment of the present disclosure, the physiological index obtained by the physiological index sensor 130 is the physiological index obtained at the current time. Mark. For example, the physiological index may be the accumulated calorie consumption in a given time interval, the number of moving steps accumulated in the given time interval, and/or the gravity sensor in the given time interval Accumulated speed and displacement information. In an embodiment of the present disclosure, the body surface temperature data obtained by the body surface temperature sensor 140 includes multiple body surface temperatures obtained through continuous measurement. In another embodiment of the present disclosure, the body surface temperature data obtained by the body surface temperature sensor 140 is the single-point body surface temperature measured at the current point in time.

In the embodiment of the present disclosure, the ambient temperature sensor 150 can be provided in a wearable device worn by the user or can also be provided in other sensing devices electrically connected to the computing unit 170. The ambient temperature sensor 150 is used to obtain the ambient temperature data of the environment where the user is located. In an embodiment of the present disclosure, the environmental temperature data obtained by the environmental temperature sensor 150 includes a plurality of environmental temperatures obtained through continuous measurement. In another embodiment of the present disclosure, the ambient temperature data obtained by the ambient temperature sensor 150 is a single ambient temperature measured at the current time.

In the embodiment of the present disclosure, the humidity sensor 160 may be disposed in a wearable device worn by the user or may also be disposed in other sensing devices electrically connected to the computing unit 170. The humidity sensor 160 is used to obtain environmental humidity data of the environment where the user is located. In an embodiment of the present disclosure, the environmental humidity data obtained by the humidity sensor 160 includes multiple pieces of environmental humidity obtained through continuous measurement. In another embodiment of the present disclosure, the environmental humidity data obtained by the humidity sensor 160 is a single environmental humidity measured at the current time.

In the embodiment of the present disclosure, the arithmetic unit 170 is used according to The core temperature data obtained from the core temperature sensor 110, the heart rate data obtained from the heart rate sensor 120, the at least one physiological index obtained from the physiological index sensor 130, the at least one physiological index obtained from the body surface temperature sensor 140 The obtained body surface temperature data, the environmental temperature data obtained from the environmental temperature sensor 150, and the environmental humidity data obtained from the humidity sensor 160 are used to calculate the representative feature temperature data of the user . Specifically, since the body surface temperature of the human body is affected by many factors, this disclosure has taken into consideration multiple factors that affect the accuracy of the body surface temperature measurement, thereby enhancing the accuracy of the body surface temperature measurement. Spend.

In the disclosed embodiment, the calculation unit 170 uses a statistical model to calculate the representative characteristic temperature data. The calculation formula is as follows (1): Z=F( T _core , HR, PI, T _surface , T _room , H _room ) (1) In formula (1), Z is the user’s representative characteristic temperature data, T _core is the core temperature data, HR is the heart rate data, PI is the physiological index, T _surface is the body surface temperature data, and T _room Is the environmental temperature data, H _room is the environmental humidity data, and F is the statistical model. In the embodiment of the present disclosure, the statistical model used by the computing unit 170 may be a linear regression model or other statistical models. Specifically, the statistical model used by the computing unit 170 and the multiple parameters included in the statistical model are associated with the user's basic data. In the embodiment of the present disclosure, the aforementioned basic data of the user includes at least one of the following: the age of the user, the gender of the user, and the infected group of the user. It is worth mentioning that the statistical model used by the computing unit 170 and the parameters included in the statistical model will vary depending on the affected population (different diseases) of the user. The statistical model and statistical model used by the computing unit 170 The parameters included will also vary depending on whether users of the healthy group are in an active state or in a resting (inactive) state. For example, in an embodiment of the present disclosure, for users of a healthy ethnic group in a resting (inactive) state, the representative characteristic temperature data can be calculated by the following formula: Z = T _surface + 0.64 × sex- 0.03× age +0.71× T _room +0.31× H _room -0.17× T _core -0.01× HR . Among them, age is the age of the user, sex is the gender of the user, and when the gender of the user is male, sex =1, and when the gender of the user is female, sex =0.

FIG. 2 is a flowchart of a method 1000 for enhancing the accuracy of body surface temperature measurement according to an embodiment of the disclosure. Please refer to FIG. 1 and FIG. 2 together. The method 1000 includes steps 1100, 1200, and 1300. In step 1100, the core temperature sensor 110 is used to obtain the user's core temperature data, the heart rate sensor 120 is used to obtain the user's heart rate data, and the physiological index sensor 130 is used to obtain the user's at least A physiological index is used to obtain the body surface temperature data of the user through the body surface temperature sensor 140. In step 1200, the environmental temperature sensor 150 is used to obtain the environmental temperature data of the environment where the user is located, and the humidity sensor 160 is used to obtain the environmental humidity data of the environment where the user is located. In step 1300, the computing unit 170 computes representative characteristic temperature data of the user based on core temperature data, heart rate data, at least one physiological index, body surface temperature data, environmental temperature data, and environmental humidity data. The details of steps 1100, 1200, and 1300 have been discussed in detail in the above description of the system 100 for enhancing the accuracy of body surface temperature measurement, and therefore will not be repeated.

In summary, this disclosure proposes a method for enhancing body surface temperature The system and method of measurement accuracy can enhance the accuracy of body surface temperature measurement by incorporating physiological indicators and environmental factors that affect the accuracy of measurement into the calculation of body surface temperature.

The features of several embodiments are summarized above, so those who are familiar with the art can better understand the aspect of the present disclosure. Those who are familiar with this technique should understand that they can easily use the present disclosure as a basis to design or modify other processes and structures, thereby achieving the same goals and/or the same advantages as the embodiments described herein. . Those who are familiar with this art should also understand that these equivalent constructions do not depart from the spirit and scope of this disclosure, and they can make various changes, substitutions and alterations without departing from the spirit and scope of this disclosure.

100‧‧‧System for enhancing the accuracy of body surface temperature measurement

110‧‧‧Core temperature sensor

120‧‧‧Heart rate sensor

130‧‧‧Physiological Index Sensor

140‧‧‧Body Surface Temperature Sensor

150‧‧‧Ambient temperature sensor

160‧‧‧Humidity Sensor

170‧‧‧Computer unit

Claims (8)

A system for enhancing the accuracy of body surface temperature measurement includes: a core temperature sensor for obtaining core body temperature data of a user; and a heart rate sensor for obtaining A heart rate data of the user; a physiological indicator sensor to obtain at least one physical indicator of the user; an integrated watch temperature sensor to obtain a body of the user Surface temperature (body surface temperature) data; an environmental temperature sensor to obtain an environment temperature data of the environment where the user is located; a humidity sensor to obtain an environment humidity of the environment where the user is located Data; and a computing unit electrically connected to the core temperature sensor, the heart rate sensor, the physiological index sensor, the body surface temperature sensor, the environmental temperature sensor, and the humidity sensor Wherein the computing unit is used to calculate a representative characteristic temperature of the user based on the core temperature data, the heart rate data, the at least one physiological index, the body surface temperature data, the environmental temperature data, and the environmental humidity data Data; wherein the at least one physiological index includes: a number of moving steps and/or a speed and displacement information provided by a gravity sensor. The system described in item 1 of the scope of patent application, wherein the arithmetic unit uses a statistical model to calculate the representative characteristic temperature data, wherein the statistical model used by the arithmetic unit and the plurality of statistical models included The parameter is associated with a basic data of the user. For the system described in item 2 of the scope of patent application, the basic data of the user includes at least one of the following: the age of the user, the gender of the user, and the infected group of the user. For the system described in item 1 of the scope of patent application, the calculation unit uses a linear regression model to calculate the representative characteristic temperature data. A method for enhancing the accuracy of body surface temperature measurement, comprising: obtaining core temperature data of a user, heart rate data, at least one physiological index, and temperature data of an integrated watch; obtaining one of the user's environment Environmental temperature data; obtain environmental humidity data of the environment where the user is located; and obtain data based on the core temperature data, the heart rate data, the at least one physiological index, the body surface temperature data, the environmental temperature data, and the environmental humidity data Calculate a representative characteristic temperature data of the user; wherein the at least one physiological index includes: a number of moving steps and/or a speed and displacement information provided by a gravity sensor. For the method described in item 5 of the scope of patent application, the representative characteristic temperature data is calculated by using a statistical model, and the statistical model used and the plurality of parameters included in the statistical model are related to the A basic data of the user is associated. The method described in item 6 of the scope of patent application, wherein the basic data of the user includes at least one of the following: the age of the user, the gender of the user, and the infected group of the user. The method described in item 5 of the scope of patent application, wherein the representative characteristic temperature data is calculated by using a linear regression model.

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