CN113423328A

CN113423328A - Physical sign parameter detection system and reliability evaluation method of physical sign parameters

Info

Publication number: CN113423328A
Application number: CN201980092080.9A
Authority: CN
Inventors: 吴宇
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-02-22
Filing date: 2019-02-22
Publication date: 2021-09-21
Also published as: WO2020168528A1

Abstract

A physical sign parameter detection system and a reliability evaluation method of physical sign parameters in the medical field are provided, wherein the physical sign parameter detection system comprises: the system comprises a physical sign parameter acquisition and processing module and at least two physical sign parameter receiving modules; the physical sign parameter acquisition processing module is interacted with the at least two physical sign parameter receiving modules; the sign parameter acquisition and processing module outputs detection data to at least two sign parameter receiving modules. By the physical sign parameter detection system and the reliability evaluation method of the physical sign parameters, the measurement reliability index of the physical sign parameters of the collected patient can be more accurately judged, so that the treatment equipment can execute different treatment operations according to the physical sign parameters and the measurement reliability index of the patient.

Description

Physical sign parameter detection system and reliability evaluation method of physical sign parameters

Technical Field

The application relates to the technical field of data processing, in particular to a physical sign parameter detection system, a reliability evaluation method and a medical temperature control equipment control method in the medical field.

Background

At present, the sources of the monitor and the medical sign parameter detection and control equipment in the hospital for acquiring the data of the same type of sign parameters are different, and the data of the same type of sign parameters with different sources have deviation due to different wearing positions of the sensors or different contact conditions of the sensors and the human body or the use of different sensors, so that confusion is easily caused to medical staff, and even improper processing results occur; in the nursing or operation process of a hospital, medical staff manually operate the medical sign parameter detection and control equipment according to the monitor display value obtained by observation, the operation is complex, and manual operation errors easily occur, for example, the medical staff observes the current body temperature displayed by the monitor, the heating power of the heat preservation blanket is manually set according to experience, or the oxygen output parameter of the oxygen supply equipment is manually set according to the current blood oxygen value displayed by the monitor equipment. When the physical sign parameters of a patient are measured, the physical sign parameter measurement sensor is not worn well, so that the measurement data and the real data are deviated slightly, medical staff or receiving equipment receiving the measurement data can possibly bring risks to the patient when the medical staff or the receiving equipment receiving the measurement data cannot judge the reliability degree of the measurement data, for example, when the temperature sensor is worn poorly, the measurement data is not actual body temperature data of the human body, but body temperature data influenced by the ambient temperature or the wearing condition, and the temperature of the patient can be overhigh or even scald the patient when the temperature of the patient is controlled by using the data to control the heat preservation blanket.

In order to solve the problems, the application provides a physical sign parameter detection system, a reliability evaluation method and a medical temperature control equipment control method in the medical field.

Disclosure of Invention

In order to solve the above problems, an object of the embodiments of the present application is to provide a system for detecting physical sign parameters in the medical field, and also provide a method for evaluating reliability of physical sign parameters in the medical field, and also provide a method for controlling a medical temperature control device.

In a first aspect, an embodiment of the present application provides a system for detecting a physical sign parameter in the medical field, including: the system comprises a physical sign parameter acquisition and processing module and at least two physical sign parameter receiving modules; the sign parameter acquisition and processing module interacts with the at least two sign parameter receiving modules, and the sign parameter acquisition and processing module outputs detection data to the at least two sign parameter receiving modules.

In a second aspect, an embodiment of the present application provides a method for evaluating reliability of a physical sign parameter in a medical field, including: acquiring first measurement data; generating a measurement reliability indicator for determining the reliability of the first measurement data; the value range of the measurement reliability indicator is a set comprising at least three elements.

In a third aspect, an embodiment of the present application further provides a method for evaluating reliability of a physical sign parameter in a medical field, where the method includes: receiving measurement data; determining correction data according to the measurement data; determining a measurement reliability index according to the measurement data; the measurement reliability index is used to evaluate the reliability of the correction data.

In a fourth aspect, an embodiment of the present application further provides a control method for a medical temperature control device, where the control method is used to: acquiring body temperature information, measurement reliability indexes and a target body temperature; determining a control output parameter according to the measurement reliability index; the control output parameters are used for controlling the medical temperature control equipment to execute temperature control actions.

In the scheme of the physical sign parameter detection system in the medical field, the physical sign parameter receiving modules use detection data from the same source, so that the consistency of display and/or control of each physical sign parameter receiving module is ensured, troubles to medical workers are avoided, and the probability of misoperation of the medical workers is reduced; the number of sensors worn by a patient is reduced, the probability of additional body injury of the patient caused by using invasive or non-invasive sensors is reduced, and the hospitalizing cost of the patient is reduced; as long as one of the sign parameter receiving modules can be accessed to the HIS system in the hospital, the plurality of sign parameter receiving modules can share the detection data which is permanently recorded in the HIS system in the hospital, so that the condition that some sign parameter receiving modules cannot store the detection data input during the treatment and nursing period because the sign parameter receiving modules cannot be accessed to the HIS system in the hospital is avoided, and the condition that the treatment and nursing effect or the fault of the sign parameter receiving modules cannot be analyzed after work is carried out is avoided; and the reliability of the detection data is evaluated by using a measurement reliability index, so that the physical sign parameter receiving module can use the detection data more reasonably and more safely.

In the scheme of the reliability evaluation method of the physical sign parameters in the medical field, the measurement reliability index is added in the physical sign parameter detection system, the method for calculating the measurement reliability index is further provided, and the physical sign parameter receiving end module can use the measurement reliability index to evaluate the reliability of the physical sign parameter measured value or the processed data after the physical sign parameter measured value is processed, so that the physical sign parameter receiving module can be more reasonable and safer to use the physical sign parameter measured value or the processed data.

In the scheme of the control method of the medical temperature control equipment, the method for stabilizing the body temperature of the patient in a small clinical area near the target body temperature by the medical temperature control equipment through automatic temperature control is realized, so that medical workers are free from the work of manually setting the parameters of the medical temperature control equipment according to the body temperature displayed by a monitor and personal experience, and the probability of misoperation caused by manual operation and insufficient experience is reduced. The medical temperature control equipment controls the output parameters according to the measurement reliability index more reasonably and safely, and avoids damage to the patient caused by the control output parameters which are mistakenly used to a greater extent.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solution of the present application, the drawings needed to be used in the description will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 shows a schematic structural diagram of a sign parameter detection system provided in embodiment 1 of the present application;

fig. 2 shows a schematic structural diagram of a first implementation manner of a vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 3 shows a schematic structural diagram of a second implementation manner of a vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 4 shows a schematic structural diagram of a third implementation manner of a vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 5 shows a schematic structural diagram of a fourth implementation manner of the vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 6 shows a schematic structural diagram of a fifth implementation manner of a vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 7 shows a schematic structural diagram of a sixth implementation manner of a vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 8 shows a schematic structural diagram of a seventh implementation manner of the vital sign parameter detection system provided in embodiment 1 of the present application;

fig. 9 shows a detailed flowchart of a control method of a temperature control device provided in embodiment 4 of the present application.

Detailed Description

In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner, and thus should not be considered limiting.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.

In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral connections; can be mechanically or electrically connected; may be a wired connection, may be a wireless connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.

It is to be understood that terms such as "system," "unit," "module," and/or "block" used herein are a means for distinguishing between different components, elements, components, parts, or assemblies at different levels. Other terms may be used in this application in place of the above terms if they accomplish the same purpose.

The terminology used in the description presented herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. For example, if a claim element is referred to in this application as "comprising" a "," an "and/or" the equivalent thereof, the claim element may include a plurality of the claim element unless the context clearly dictates otherwise. The terms "including" and/or "comprising" as used in this application refer to the open-ended concept. For example, the inclusion of B in a merely indicates the presence of B in a, but does not exclude the possibility that other elements (such as C) may be present or added to a.

The modules (or units, blocks, units) described in this application may be implemented as software and/or hardware modules. Unless the context clearly indicates otherwise, when a unit or module is described as being "on," "connected to," or "coupled to" another unit or module, the expression may mean that the unit or module is directly on, linked or coupled to the other unit or module, or that the unit or module is indirectly on, connected or coupled to the other unit or module in some way. In this application, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Example 1

The present embodiment provides a system for detecting sign parameters in the medical field, as shown in fig. 1, the system may include a sign parameter acquisition and processing module and at least two sign parameter receiving modules.

The sign parameter acquisition and processing module interacts with the at least two sign parameter receiving modules, and the sign parameter acquisition and processing module outputs detection data to the at least two sign parameter receiving modules.

The sign parameter acquisition and processing module comprises a sensor. The sensor may include one or more of a temperature sensor, a blood oxygen sensor, an electrocardio sensor, a blood pressure sensor, a capacitance sensor, an acceleration sensor, an infrared sensor, a magnetic sensor, a photosensitive sensor, a distance sensor, and the like.

The sensor is used for obtaining a measured value, and the measured value may include one or more combinations of temperature information, blood oxygen information, electrocardiogram information, blood pressure information, a pressure value, a resistance value, a capacitance value, an inductance value, a voltage value, a current value, an acceleration value, an infrared signal value, a magnetic signal value, an optical signal value, a distance value, and the like.

The detection data may include one or more combinations of measurement values, process data, and measurement reliability indicators. The measurement values are obtained by means of sensors, for example body temperature data measured by means of temperature sensors. The processing data is obtained by processing according to the measured value, for example, the body temperature of the human body obtained by processing the body temperature data. The measurement reliability indicator is used to evaluate the reliability of the measurement values and/or the processed data. For example, when a human body uses a body temperature detection system, a contact thermometer is used, and when the contact thermometer is not close to the human body well, the measurement reliability index can correspond to a weak reliability state, that is, the measurement value of the contact thermometer is unreliable, and medical staff will not adopt the measurement value. The measurement reliability indicator may also be obtained from the measured value and/or the processed data after processing.

The physical sign parameter receiving module can be medical temperature control equipment, medical monitoring equipment, and other medical control and/or display equipment. The medical temperature control device may include one or a combination of a plurality of devices, such as medical electric blankets (blankets), electric pads (pads), electric mattress pads (mattresses), heating devices, medical temperature control blankets, and the like. The medical monitoring device may include one or a combination of multiple devices, such as a monitor, a monitoring center, a Hospital Information System (HIS), a handheld mobile terminal, and the like. The other medical control and/or display devices may include one or a combination of a plurality of devices, such as a printer, a medical oxygen supply device, and the like. The heating device can be heated by liquid, gas and the like, and can also be heated by heating media, such as resistance wires and electrothermal ceramics.

For example, as shown in fig. 2, the temperature and/or reliability index measured by the same temperature sensor, such as a thermometer, can be directly or indirectly transmitted to the monitor and the temperature control device, such as a medical temperature control blanket. In some embodiments, the measured temperature and/or the measured reliability index measured by the same temperature sensor may also be transmitted to a monitor, a monitoring center, a HIS system in a hospital, a handheld mobile terminal, a printer, and the like. For another example, the measured blood oxygen value and/or the measurement reliability index measured by the same blood oxygen sensor may be directly or indirectly transmitted to the monitor and the medical oxygen supply device.

In some embodiments, the vital sign parameter acquisition and processing module may further include a data processing module and/or a converter connected to the sensor. The data processing module and the converter may also be connected to each other.

The data processing module may be configured to process the sensor measurement value to obtain the processing data, and may also be configured to process the sensor measurement value to obtain the measurement reliability index. In some embodiments, the data processing module may process raw acquired data into usable data. For example, a plurality of body surface temperatures are originally acquired, and the body core temperature is further calculated by the data processing module. In some embodiments, the data processing module may implement transmission range extension for protocol data relay forwarding that transmits the detection data. In some embodiments, the data processing module may perform protocol conversion on the protocol data relay forwarding that transmits the detection data. For example, the communication protocol with the temperature sensor is a, and the data processing module may convert the communication protocol a with the temperature sensor into a protocol corresponding to the receiving device according to the protocol requirement of the receiving device. In some embodiments, the data processing module may also be used for relay distribution to achieve one-to-many distribution.

The converter may be configured to convert the transmitted detection data into a physical quantity, may also be configured to implement transmission range extension for relay forwarding of protocol data that transmits the detection data, and may also be configured to implement protocol conversion for relay forwarding of protocol data that transmits the detection data.

In particular, the converter described above may implement one or more combinations of relaying, protocol conversion, protocol to physical quantity conversion. The relaying involves the sensor sending data to the converter, which continues to forward to the next converter. The protocol conversion includes a protocol that can convert an over-the-air wireless protocol to a digital interface of the monitor. The conversion from the protocol to the physical quantity comprises the receiving of the wireless digital protocol, and the protocol can be converted into the physical quantity such as a voltage value, a resistance value, a current value and the like and is sampled by the receiving or controlled equipment.

The physical quantity may include one or more combinations of a pressure value, a resistance value, a capacitance value, an inductance value, a voltage value, a current value, an acceleration value, an infrared signal value, a magnetic signal value, an optical signal value, or a distance value.

The temperature sensor may comprise a contact temperature sensor and/or a non-contact temperature sensor. The touch sensor includes a thermosensitive temperature sensor and/or a semiconductor temperature sensor. The non-contact sensor includes an infrared temperature sensor and/or a heat sensitive temperature sensor.

The sign parameter acquisition and processing module can further determine the measurement reliability index according to the measurement value; determining the reliability of the measured value and/or the processed data according to the measurement reliability index; the value range of the measurement reliability indicator is a set comprising at least three elements.

The interactive mode of the sign parameter acquisition processing module and the at least two sign parameter receiving modules can comprise wired connection, wireless fidelity (wifi), zigbee protocol (zigbee), Z Wave (Z-Wave), infrared, 5G network, radio frequency, 433MHZ wireless and Bluetooth.

In some embodiments, the sign parameter collecting and processing module further packages information such as the measurement value and/or the measurement reliability index into a data protocol. The encapsulated data protocols may be the same or different. The data protocol corresponds to a receiving and/or transmitting protocol of the physical sign parameter receiving module.

In the following embodiments, the physical sign parameter receiving end uses a monitor and a temperature control device as an example, but it does not mean that the physical sign parameter receiving end only can be the monitor and the temperature control device, and can also meet the physical sign parameter receiving module, and can also be other types of receiving ends that can receive physical sign parameters, which are not listed in the present application.

The following examples use body temperature parameters for example, but do not represent that the physical parameters are only body temperature, and may be physical parameters of the present application, or may be other physical parameters not listed in the present application.

The following examples are illustrated using monitors, but are not intended to be limiting of the monitor, and may be any display device that can be used to display parameters of a physical sign.

The temperature control devices in the following examples may also be one or more combinations of the above mentioned medical temperature control devices.

In the following example, the interaction between the thermometer, the data processing module, the converter, the display device, and the temperature control device may be wireless communication.

In some embodiments, devices communicating wirelessly may be bound to each other by a tooling program produced during the production process. In some embodiments, the mutual binding information is written into the wireless devices by the wireless devices of the third party. In some embodiments, the two-dimensional codes on the thermometer and the converter can be respectively scanned by the code-scannable data processing module, so that the binding of the thermometer and the data processing module and the binding of the converter and the data processing module are completed.

Fig. 2 shows a first implementation of a physical parameter detection system in the medical field, in which a thermometer can interact with a monitor and a temperature control device, respectively. In some embodiments, the monitor and the temperature control device may also interact. The thermometer can transmit the body temperature of a human body to the monitor and the temperature control equipment. The human body temperature can be directly measured data or processed data. In some embodiments, the thermometer may also transmit measurement reliability indicators to the monitor and temperature control device as well. For example, when a patient wears a thermometer, the thermometer can measure the body temperature data of the patient in real time, and the thermometer can also process the body temperature data of the patient and obtain information such as measurement reliability indexes.

In some embodiments, the thermometer further encapsulates the information such as the body temperature and the measurement reliability index of the patient into a first data protocol and a second data protocol, respectively. The first data protocol and the second data protocol may be the same or different. The first and second here do not represent that there can be only two protocols, but there can also be more. For example, the thermometer may transmit the first data protocol to a monitor. And the monitor analyzes the first data protocol to obtain the information of the human body temperature, the measurement reliability index and the like. As another example, the thermometer may transmit the second data protocol to a temperature control device. And the temperature control equipment analyzes the second data protocol to obtain the information of the human body temperature, the measurement reliability index and the like.

In some embodiments, the monitor may display the body temperature of the human body on a display device, may display the measurement reliability indicator on a display device, and may issue an acoustic and/or optical alarm or prompt according to the measurement reliability indicator. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor gives an alarm to prompt a doctor, a nurse and the like. In some embodiments, when the body temperature of the human body is unreliable, the monitor may issue an alarm according to the value of the measurement reliability index to prompt a doctor or a nurse.

In some embodiments, the temperature control device may control the output power of the temperature control device according to one or more data combinations of other parameters such as body temperature information, target body temperature, measurement reliability index, and the like, so as to keep the current body temperature of the patient fluctuating slightly around the target body temperature.

Fig. 3 shows a second implementation of the system for detecting physical parameters in the medical field, in which the clinical thermometer can interact with a data processing module, and the data processing module can interact with a monitor and a temperature control device, respectively. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The data processing module further receives the information of the human body temperature, the measurement reliability index and the like, and respectively sends the received information to a monitor, a temperature control device and the like.

In some embodiments, the thermometer may obtain information such as body temperature data. The data processing module can process the information such as the body temperature data and the like to obtain the information such as the human body temperature and the measurement reliability index and the like. The data processing module further sends the processed information to a monitor, a temperature control device and the like.

In some embodiments, the monitor may display the body temperature of the human body on a display device, and may also display the measurement reliability index on the display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor gives an alarm to prompt a doctor, a nurse and the like. In some embodiments, when the body temperature of the human body is unreliable, the monitor may issue an alarm according to the value of the measurement reliability index to prompt a doctor or a nurse.

Fig. 4 shows a third implementation of the system for detecting vital sign parameters in the medical field, in which the clinical thermometer can interact with a data processing module, the data processing module can interact with a first transducer, the data processing module can also interact with a second transducer, the first transducer can interact with a monitor, and the second transducer can interact with a temperature control device. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The data processing module receives the information of the human body temperature, the measurement reliability index and the like and respectively transmits the received information to the first converter and the second converter, the first converter transmits the information of the human body temperature, the measurement reliability index and the like to the monitor, and the second converter transmits the information of the human body temperature, the measurement reliability index and the like to the temperature control equipment and the like.

In some embodiments, the thermometer may obtain information such as body temperature data. The data processing module can process the information such as the body temperature data and the like to obtain the information such as the human body temperature and the measurement reliability index and the like. The data processing module respectively transmits the information of the human body temperature, the measurement reliability index and the like to the first converter and the second converter, the first converter transmits the information of the human body temperature, the measurement reliability index and the like to the monitor, and the second converter transmits the information of the human body temperature, the measurement reliability index and the like to the temperature control equipment and the like.

Fig. 5 shows a fourth implementation of the vital sign parameter detection system in the medical field, in which the thermometer interacts with a first transducer, which may also interact with a second transducer, which may interact with a monitor, and with a temperature control device. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The thermometer transmits the information of the human body temperature, the measurement reliability index and the like to the first converter and the second converter, the first converter transmits the information of the human body temperature, the measurement reliability index and the like to the monitor, and the second converter transmits the information of the human body temperature, the measurement reliability index and the like to the temperature control equipment and the like.

Fig. 6 shows a fifth implementation of the vital sign parameter detection system in the medical field, wherein the thermometer interacts with a first transducer, which can interact with a second transducer, which can also interact with a monitor, and the second transducer can interact with a temperature control device. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The thermometer transmits the human body temperature and information such as measurement reliability indexes to the first converter, the first converter transmits the human body temperature and information such as measurement reliability indexes to the monitor, the first converter can also transmit the human body temperature and information such as measurement reliability indexes to the second converter, and the second converter transmits the human body temperature and information such as measurement reliability indexes to the temperature control equipment and the like.

Fig. 7 shows a sixth implementation of the vital sign parameter detection system in the medical field, wherein the clinical thermometer can interact with a data processing module, the data processing module can interact with a first transducer, the first transducer can interact with a second transducer, the first transducer can also interact with a monitor, and the second transducer can interact with a temperature control device. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The data processing module receives the human body temperature and the measurement reliability index and transmits the received information to the first converter, the first converter transmits the human body temperature and the measurement reliability index and other information to the second converter, and the first converter transmits the human body temperature and the measurement reliability index and other information to the monitor and the second converter transmits the human body temperature and the measurement reliability index and other information to the temperature control equipment and the like.

In some embodiments, the thermometer may obtain information such as body temperature data. The data processing module can process the information such as the body temperature data and the like to obtain the information such as the human body temperature and the measurement reliability index and the like. The data processing module transmits processed information to the first converter, the first converter can transmit information such as the body temperature and the measurement reliability index to the second converter, the first converter can also transmit information such as the body temperature and the measurement reliability index to the monitor, and the second converter transmits information such as the body temperature and the measurement reliability index to the temperature control equipment.

Fig. 8 shows a 7 th implementation manner of the physical parameter detection system in the medical field, in which a thermometer can measure information such as body temperature data, the thermometer interacts with a data processing module, the data processing module can interact with a converter, the data processing module can also interact with a temperature control device, and the converter interacts with a monitor. In some embodiments, the monitor and the temperature control device may also interact.

In some embodiments, the thermometer may measure body temperature data and the like. The thermometer can process the information such as the body temperature data to obtain the information such as the human body temperature and the measurement reliability index. The data processing module receives the information of the human body temperature, the measurement reliability index and the like and transmits the received information to the converter, the converter transmits the information of the human body temperature, the measurement reliability index and the like to the monitor, and the data processing module can also transmit the information of the human body temperature, the measurement reliability index and the like to the temperature control equipment and the like.

In some embodiments, the thermometer may obtain information such as body temperature data. The data processing module can process the information such as the body temperature data and the like to obtain the information such as the human body temperature and the measurement reliability index and the like. The data processing module further transmits the processed information to the converter, the converter further transmits the information of the human body temperature, the measurement reliability index and the like to the monitor, and the data processing module can also transmit the information of the human body temperature, the measurement reliability index and the like to the temperature control equipment and the like.

It should be noted that the interaction between the sign parameter receiving module and the sign parameter acquiring and processing module may be partial interaction, or may be respectively corresponding interaction, or may be any interaction manner such as overlapping interaction. For example, the physical sign parameter acquisition processing module may include a thermometer, and the thermometer may interact with a handheld mobile terminal, and/or a monitoring center, and/or a hospital HIS system; for another example, the physical sign parameter acquiring and processing module may include a data processing module, and the data processing module may interact with a handheld mobile terminal, and/or a monitoring center, and/or a hospital-in HIS system; for another example, the physical sign parameter acquisition processing module may include a converter, and the converter may interact with a handheld mobile terminal, and/or a monitoring center, and/or a hospital-based HIS system; for another example, the physical sign parameter acquiring and processing module may include a thermometer and a data processing module, the thermometer may interact with the handheld mobile terminal and the monitor, and meanwhile, the data processing module may interact with the temperature control device. For another example, the physical sign parameter acquiring and processing module may further include a thermometer, a data processing module, and a converter, wherein the thermometer interacts with the monitor, the data processing module interacts with the temperature control device, and the converter interacts with the monitoring center. For another example, the physical sign parameter acquiring and processing module may include a thermometer and a data processing module, the thermometer may interact with the handheld mobile terminal and the monitor, and meanwhile, the data processing module may also interact with the monitor.

For illustrative purposes only, the vital signs parameter acquisition processing module of the present application describes only an exemplary embodiment that includes a thermometer. It should be noted that the physical sign parameter acquisition and processing module of the present application may also include one or more combinations of sensors and probes that may be used for acquiring physical sign parameters such as blood oxygen sensor, blood pressure sensor, and electrocardiograph sensor.

Example 2

The embodiment provides a reliability evaluation method for physical sign parameters in the medical field, which may include: acquiring first measurement data; generating a measurement reliability indicator for determining the reliability of the first measurement data; the value range of the measurement reliability indicator is a set comprising at least three elements. The method may further include acquiring second measurement data; and determining the measurement reliability index according to the second measurement data. The method may further include: and determining the measurement reliability index according to the first measurement data.

In some embodiments, the measurement data may include one or more of temperature information, blood oxygen information, electrocardiographic information, blood pressure information, pressure values, resistance values, capacitance values, inductance values, voltage values, current values, acceleration values, infrared signal values, magnetic signal values, optical signal values, or distance values. For example, the first measurement data may be temperature information and the second measurement data may be blood oxygen information. For another example, the first measurement data may be first temperature information and the second measurement data may be second temperature information.

In some embodiments, the first measurement data and the second measurement data may include current measurement data and historical measurement data. The current measurement data may be data obtained by the last measurement at or before time t when time t is the time. The historical measurement data may be data or a combination of data obtained by one or more measurements before time t. For example, when the time is t (n), the current measurement data may be the data measured at t (n), and the historical measurement data may be the data measured at t (n-1).

In some embodiments, the measurement reliability indicator may be further determined based on the current measurement data and the historical measurement data. For example, the first measurement data is current measurement temperature data, the second measurement data is historical measurement temperature data, and a measurement reliability index for determining the reliability of the current measurement temperature data is further determined according to the current measurement temperature data and the historical measurement temperature data.

The measurement data may be obtained by sampling with a sensor. The sensor comprises one or more combinations of a temperature sensor, a blood oxygen sensor, an electrocardio sensor, a blood pressure sensor, a capacitance sensor, an acceleration sensor, a pressure sensor, an infrared sensor, a photosensitive sensor or a distance sensor.

In some embodiments, the range of values of the measure reliability indicator is a set comprising at least three elements. The value range of the measurement reliability index can be defined by factory settings, can be defined according to actual needs during use, and can be customized after machine learning. In some embodiments, the elements include one or more combinations of arabic numerals, characters of natural language, english letters, greek letters, mathematical symbols, characters of various languages, and the like. In some embodiments, at least some elements of the value range may be used as states corresponding to the measurement reliability indicators. For example, the range of values for the measure reliability indicator may include { A, B, C }, where A indicates that the corresponding state is a strong reliable state, B indicates that the corresponding state is a medium reliable state, and C indicates that the corresponding state is a weak reliable state. The subdivided states may be further defined within each of the strong reliable state, the medium reliable state, and the weak reliable state. In some embodiments, the receiving device receiving and using the measurement reliability index may define different reliability states for a value range of the same measurement reliability index according to the strength of the reliability requirement of the receiving device itself for the physical sign parameter, for example, the thermometer measures the body temperature of the human body and calculates the measurement reliability index, assuming that the value range of the measurement reliability index is [ 0%, 100% ], 0% represents the worst measurement reliability state and 100% represents the best measurement reliability state, the monitor and the medical temperature control blanket are used as the receiving device, the monitor may define three alarm levels of [ 0%, 10% ], which represents that the thermometer falls off, the body temperature of the human body is unreliable, [ 10%, 90% ], which represents that the thermometer is not completely fallen off, the reliability of the body temperature is moderate, [ 90%, 100%) represents that the thermometer is worn stably, the reliability of the body temperature of the human body is good, and the monitor can send out an alarm to prompt medical care personnel according to the divided value range state; the medical heat-insulating blanket can define four states

[ 0%, 10%) indicates that the thermometer falls off and the human body temperature is unreliable, [ 10%, 50%) indicates that the thermometer is not completely fallen off and the reliability of the human body temperature is in a moderate deviation, and [ 50%, 90%) indicates that the thermometer is not completely fallen off and the reliability of the human body temperature is in a moderate preference,

[ 90%, 100%) shows that the thermometer is worn stably, the human body temperature is reliable, the medical heat-insulating blanket can alarm according to the divided value range state to prompt medical staff to adjust the wearing of the thermometer, and the measurement reliability index can be used as a weight to calculate temperature control parameters.

As another example, the range of the measure reliability indicator may include { a strong reliable state, a weak reliable state }. In some embodiments, the range of measurement reliability indicators may include continuous and/or discrete quantities. For example, the value range of the measurement reliability index is a discrete value interval range of {0,1,2,3,4,5,6,7,8,9,10}, wherein 0 to 10 represent that the corresponding state degree is changed from the worst reliability to the best reliability, that is, 0 represents the worst reliability, and 10 represents the best reliability. For another example, the value range of the measurement reliability indicator is a combination of a discrete quantity and a continuous quantity {0, [1.0,9.0], 10},0 may represent complete unreliability, 10 may represent complete reliability, and a continuous quantity [1.0,9.0] may represent intermediate reliability states of varying degrees; for another example, the value range of the measurement reliability index is a continuous interval range of [0.0,10.0], where 0.0 represents the worst reliability case and 10.0 represents the best reliability case; for another example, the value range of the measurement reliability index is { {0,1}, {2,5,8}, {9,10} }, where {0,1} represents the value range of the weak reliable state, 0 represents the worst case of the corresponding state being the weak reliable state, and 1 represents the next worst case of the corresponding state being the weak reliable state; {2,5,8} represents the range of the medium reliable state, 2 represents the case where the corresponding state is a deviation in the medium reliable state, 5 represents the case where the corresponding state is medium in the medium reliable state, and 8 represents the case where the corresponding state is a preference in the medium reliable state; {9,10} indicates the range of the strongly reliable state, 9 indicates that the corresponding state is the case of normal good in the strongly reliable state, and 10 indicates that the corresponding state is the case of good in the strongly reliable state. In some embodiments, the elements may be singular or may be range-wide. For example, the value range of the measurement reliability index may be a continuous range of numerical values of { [ 0%, 10%), [ 10%, 50%), [ 50%, 90% ], [ 90%, 100% ] } where [ 0%, 10%) indicates that the corresponding state is a weak reliable state, [ 10%, 50%) indicates that the corresponding state is a deviation in a medium reliable state, [ 50%, 90%) indicates that the corresponding state is a medium reliable state preference, and [ 90%, 100% ] indicates that the corresponding state is a strong reliable state. For another example, the value range of the measurement reliability index may be { [0.0,0.1), [0.1,0.9), [0.9,1.0] }, where [0.0,0.1) indicates that the corresponding state is a weak reliable state, [0.1,0.9) indicates that the corresponding state is a medium reliable state, and [0.9,1.0] indicates that the corresponding state is a strong reliable state. For another example, the value range of the measurement reliability indicator may also be {0,1, 2}, where 0 represents a weak reliability state, 1 represents a medium reliability state, and 2 represents a strong reliability state. It is noted that the set of elements of the value range of the measure reliability indicator is used only for the exemplary embodiment and does not exclude other possible forms.

In some embodiments, the first measurement data may include a vital sign parameter including one or more combinations of temperature information, blood oxygenation information, electrocardiogram information, blood pressure information, and the like. In some embodiments, the first measurement data may determine the measurement reliability indicator, which may be used to determine the reliability of the first measurement data.

For example, when a body temperature sensor is used by a person, the body temperature sensor is located on a thermometer for measuring the body temperature of the person. In some embodiments, the body temperature of the human body may be processed by a sign parameter acquisition processing module of the sign parameter detection system to obtain a measurement reliability index, or may be transmitted to another processing module to obtain the measurement reliability index after being processed. When the current time is T (0), the human body temperature value at the time is T (0), the human body temperature values at the historical time T (-1), T (-2), … and T (-n) are selected to be T (-1), T (-2), … and T (-n), and the human body temperature mean value from T (0) to T (-n) is calculated to be A. Alternatively, the body temperature values at historical time T (-1), T (-2), … and T (-m) are T (-1), T (-2), … and T (-m), wherein m is less than n, and the standard deviation S of the body temperature values of m +1 from T (0) to T (-m) relative to the mean value A is calculated. The historical time t (-1) represents a time prior to t (0), and so on, t (-m) represents m times prior to t (0), and t (-n) represents n times prior to t (0). And then according to a predefined reference standard deviation SS, wherein SS is a value determined after statistics according to multiple measurements. And finally, calculating a measurement reliability index E, wherein E is (| S-SS |)/SS, namely E is used as the measurement reliability index of the human body temperature.

In some embodiments, the second measurement data may be measurement values acquired by a contact or non-contact sensor, and the measurement values include one or more of temperature information, blood oxygen information, electrocardiogram information, blood pressure information, pressure values, resistance values, capacitance values, inductance values, voltage values, current values, acceleration values, infrared signal values, magnetic signal values, optical signal values, or distance values.

In some embodiments, the second measurement data may determine the measurement reliability indicator, which is used to determine the reliability of the first measurement data. For example, when a body temperature sensor is used, a capacitance sensor is also used to measure the wearing condition of the body temperature sensor, that is, the reliability of the measured temperature information. The first measurement data is temperature information and can be obtained through measurement of the body temperature sensor, and the second measurement data is capacitance values or measurement digital values indirectly expressing the capacitance values and can be obtained through measurement of the capacitance sensor. And calculating a measurement reliability index according to the capacitance value or the measurement digital value, wherein the measurement reliability index can evaluate the reliability of the measurement value of the body temperature sensor.

As another example, when a human body uses a thermometer, a body temperature sensor is located on the thermometer for measuring the body temperature of the human body. The thermometer comprises a capacitance sensor, the capacitance sensor can also be positioned on the thermometer and is used for measuring the contact tightness between the thermometer and a human body, the measured value obtained by the capacitance sensor is contact capacitance data, and the contact capacitance data can be a capacitance value or a measurement digital value indirectly expressing the capacitance value. In some embodiments, the contact capacitance data may be processed by a sign parameter acquisition and processing module of the sign parameter detection system to obtain a measurement reliability index, or may be transmitted to another processing module to obtain the measurement reliability index after processing.

The physical sign parameter acquisition processing module can continuously and periodically sample and can also sample at intervals. The body temperature sensor measures the body temperature at the current moment, the capacitance sensor can buffer the contact capacitance data with the specified time window width including the current moment, the mean value of the contact capacitance data in the time window width is calculated, and the mean value is used as the measurement reliability index of the body temperature at the current moment.

In some embodiments, the touch capacitance data may be measured by a method of resistance and capacitance charge and discharge time detection. In some embodiments, when the value in the data is larger, the longer the time required for charging is indicated, which indicates that the capacitance value is larger, and also indicates that the capacitive sensor is in closer contact with the human body. Conversely, a smaller value in the data indicates a looser contact with the human body. In some embodiments, the touch capacitance data sequence mean range may be divided from small to large. For example, the value range of the mean value of the contact capacitance data sequence is { a, B, C }, where a represents a segment with a small mean value of the contact capacitance data sequence, C represents a segment with a large mean value of the contact capacitance data sequence, and B represents a segment with a mean value between a and C of the contact capacitance data sequence. According to the relation between the capacitance value and the contact tightness between the capacitive sensor and the human body, A represents that the corresponding state is a weak reliable state, B represents that the corresponding state is a medium reliable state, and C represents that the corresponding state is a strong reliable state. In some embodiments, the values in the segments of { a, B, C } may be further used to describe more detailed human body temperature reliability evaluation according to specific product requirements, for example, the segment a may be further subdivided into { fully reliable, good reliability }, the segment B may be further subdivided into { medium reliability preference, medium reliability deviation }, and the segment C may be further subdivided into { relatively weak reliability, completely unreliable }. In some embodiments, how to use the body temperature and the measurement reliability index may be determined according to an acceptable risk level when each receiving end device uses the body temperature. For example, when the receiving end device is a monitor and a temperature control device, the monitor will not alarm for the body temperature with the measurement reliability index better than that of the segment C, the monitor will alarm for the measurement reliability index of the segment C, and the temperature control device will select a proper algorithm according to the value of the measurement reliability index and/or calculate the temperature control parameter by using the value of the measurement reliability index as an algorithm parameter.

Example 3

The embodiment also provides a reliability evaluation method for the physical sign parameters in the medical field, which may include: receiving measurement data; determining correction data according to the measurement data; according to the measurement data, a measurement reliability index can be further determined; the measurement reliability index is used to evaluate the reliability of the correction data. The measurement data may include one or more combinations of current measurement data, historical measurement data, and the like. The method may further comprise determining the measurement reliability indicator based on the current measurement data and historical measurement data.

In some embodiments, the measurement data may include one or more of temperature information, blood oxygen information, electrocardiographic information, blood pressure information, pressure values, resistance values, capacitance values, inductance values, voltage values, current values, acceleration values, infrared signal values, magnetic signal values, optical signal values, or distance values. The measurement data may be obtained by sampling with a sensor. The sensor comprises one or more combinations of a temperature sensor, a blood oxygen sensor, an electrocardio sensor, a blood pressure sensor, a capacitance sensor, an acceleration sensor, a pressure sensor, an infrared sensor, a photosensitive sensor or a distance sensor. In some embodiments, the correction data may be derived from one or more measured data. In some embodiments, when the reliability of the correction data is good, the correction data can be further used as a usable sign parameter. For example, when the reliability of the body temperature correction data is good, the body temperature correction data can be transmitted to a monitor, a temperature control device, and the like, and medical staff and/or medical equipment and the like use the data to perform subsequent work.

For another example, when the first body temperature sensor and the second body temperature sensor are used by a human body, the first body temperature sensor and the second body temperature sensor are located on the thermometer and used for measuring and obtaining the first body temperature data and the second body temperature data. In some embodiments, the first body temperature data and the second body temperature data may be processed by a sign parameter acquisition processing module of the sign parameter detection system to obtain the body temperature of the human body, or may be transmitted to another processing module to obtain the body temperature of the human body.

In some embodiments, the first body temperature data and the second body temperature data may form a temperature gradient. In some embodiments, the body temperature may be obtained by using a temperature gradient relationship or by using a data fitting method to compensate the first body temperature data and the second body temperature data with each other. For example, the measurement data may include the first body temperature data and the second body temperature data, and the body temperature obtained by data fitting may be used as the correction data.

In some embodiments, the capacitive sensor is located on the thermometer and may be used to measure how close the thermometer is in contact with the body. The capacitance sensor measures contact capacitance data. In some embodiments, the contact capacitance data may be a component of the measurement data. For example, the measurement data may include contact capacitance data, first body temperature data, second body temperature data. In some embodiments, the contact capacitance data may be processed by a sign parameter acquisition and processing module of the sign parameter detection system to obtain a measurement reliability index, or may be transmitted to another processing module to obtain the measurement reliability index after processing.

The physical sign parameter acquisition processing module can continuously and periodically sample and can also sample at intervals. The body temperature sensor measures the body temperature of the human body at the current moment, the capacitance sensor can buffer a contact capacitance data sequence with the specified time window width including the current moment, the average value of the contact capacitance data sequence within the time window width is calculated, and the average value is used as the measurement reliability index of the body temperature of the human body at the current moment.

In some embodiments, the touch capacitance data may be measured by a method of resistance and capacitance charge and discharge time detection. When the value in the contact capacitance data is larger, the longer the time required for charging is, the larger the capacitance value is, and the closer the contact between the capacitance sensor and the human body is. Conversely, a smaller value in the data indicates a looser contact with the human body. In some embodiments, the touch capacitance data sequence mean range may be divided from small to large. For example, the value range of the mean value of the contact capacitance data sequence is { a, B, C }, where a represents a segment with a small mean value of the contact capacitance data sequence, C represents a segment with a large mean value of the contact capacitance data sequence, and B represents a segment with a mean value between a and C of the contact capacitance data sequence. According to the relation between the capacitance value and the contact tightness between the capacitive sensor and the human body, A represents that the corresponding state is a weak reliable state, B represents that the corresponding state is a medium reliable state, and C represents that the corresponding state is a strong reliable state. In some embodiments, the values in the segments of { a, B, C } may be further used to describe more detailed human body temperature reliability evaluation according to specific product requirements, for example, the segment a may be further subdivided into { fully reliable, good reliability }, the segment B may be further subdivided into { medium reliability preference, medium reliability deviation }, and the segment C may be further subdivided into { relatively weak reliability, completely unreliable }. In some embodiments, how to use the body temperature and the measurement reliability index may be determined according to an acceptable risk level when each receiving end device uses the body temperature. For example, when the receiving end device is a monitor and a temperature control device, the monitor will not alarm for the body temperature with the measurement reliability index better than that of the segment C, the monitor will alarm for the measurement reliability index of the segment C, and the temperature control device will select a proper algorithm according to the value of the measurement reliability index and/or calculate the temperature control parameter by using the value of the measurement reliability index as an algorithm parameter.

For another example, when the human body uses the first body temperature sensor and the second body temperature sensor, the first body temperature sensor and the second body temperature sensor are located on the thermometer and used for measuring and obtaining the first body temperature data and the second body temperature data. In some embodiments, the first body temperature data and the second body temperature data may be processed by a sign parameter acquisition processing module of the sign parameter detection system to obtain the body temperature of the human body, or may be transmitted to another processing module to obtain the body temperature of the human body. For example, the physical sign parameter acquisition and processing module may obtain the body temperature of the human body through a temperature gradient relationship according to the first body temperature data and the second body temperature data.

In some embodiments, the first and second body temperature data may further determine a measurement reliability indicator. In some embodiments, the measurement reliability index may be obtained by processing the sign parameter acquisition processing module of the sign parameter detection system, or may be obtained by processing the sign parameter acquisition processing module by another processing module. When the current time is T1(0), the human body temperature value at the time is T1(0), and T1(0) is taken as the first body temperature data. The human body temperature values at the historical time T1(-1), T1(-2), … and T1(-n) are T1(-1), T1(-2), … and T1(-n), and the average A1 of the human body temperatures from T1(0) to T1(-n) is calculated. Alternatively, the standard deviation S1 of the body temperature values of m +1 persons from T1(0) to T1(-m) relative to the mean A1 is calculated by taking the body temperature values at the historical times T1(-1), T1(-2), … and T1(-m) as T1(-1), T1(-2), … and T1(-m), wherein m is smaller than n. The historical time t1(-1) represents a time before t1(0), and so on, t1(-m) represents m times before t1(0), and t1(-n) represents n times before t1 (0). And then according to a predefined reference standard deviation SS, wherein SS is a value determined after statistics according to multiple measurements. And finally, calculating a measurement reliability index E1, namely E1 (| S1-SS |)/SS, namely E1 as the measurement reliability index of the first body temperature data.

In some embodiments, the second body temperature data may further obtain the reliability index E2 of the second body temperature data by applying a calculation process like the measurement reliability index E1 of the first body temperature data, i.e. E2 ═ S2-SS |)/SS.

In some embodiments, the first body temperature data and the second body temperature data may have a temperature gradient relationship, and according to different degrees of the body temperature data approaching the body temperature, when the reliability of the body temperature is evaluated, weighting parameters W1 and W2 are respectively added to E1 and E2, and E-W1-E1 + W2-E2 is calculated as the measurement reliability indicator of the body temperature.

Example 4

The embodiment provides a control method of medical temperature control equipment, as shown in fig. 9, the control method includes acquiring body temperature information, a measurement reliability index and a target body temperature; determining a control output parameter according to the measurement reliability index; the control output parameters are used for controlling the medical temperature control equipment to execute temperature control actions.

The body temperature information may include current body temperature information and/or historical body temperature information. The measurement reliability indicator may include a current measurement reliability indicator and/or a historical measurement reliability indicator. The target body temperature may include a current target body temperature and/or a historical target body temperature.

The target body temperature is the body temperature that the human body and/or other organism desired to be measured can reach. In some embodiments, the target body temperature may be a body temperature that is set to be reached by the medical temperature control device, or may be a body temperature that is set to be reached by a medical staff. In some embodiments, the target body temperature may be a fixed value, for example, the target body temperature of a human body may be 37 ℃. In some embodiments, the target body temperature may also be an interval value, for example, the target body temperature of a human body may be 36.5 ℃ to 37 ℃.

The measurement reliability index is used for representing the reliability degree of the body temperature information. The range of the measurement reliability index may include a continuous quantity and/or a discrete quantity, for example, in some embodiments, the range of the measurement reliability index is a discrete range of values {0,1,2,3,4,5,6,7,8,9,10}, where 0-10 indicates that the corresponding state degree is a change from the worst reliability to the best reliability, i.e., 0 indicates the worst reliability, and 10 indicates the best reliability; for another example, in some embodiments, the range of the measure reliability indicator is a combination of a discrete quantity and a continuous quantity {0, [1.0,9.0], 10}, where 0 may indicate complete unreliability, 10 may indicate complete reliability, and a continuous quantity of [1.0,9.0] may indicate varying degrees of medium reliability; for another example, in some embodiments, the range of the measurement reliability indicator is a continuous range of [0.0,10.0], where 0.0 represents the worst case and 10.0 represents the best case. At least part of elements of the value range of the measurement reliability index are used as states corresponding to the measurement reliability index; the status of the measurement reliability indicator may include strong reliability, medium reliability, weak reliability; the states of strong reliability, medium reliability and weak reliability can be further subdivided into a plurality of discrete quantities or continuous quantities, and the more detailed reliability degree of the body temperature information is expressed; for example, in some embodiments, the value range of the measurement reliability indicator is { {0,1}, {2,5,8}, {9,10} }, where {0,1} represents the value range of the weak reliable state, 0 represents the worst case of the corresponding state being the weak reliable state, and 1 represents the next worst case of the weak reliable state; {2,5,8} represents the range of the medium reliable state, 2 represents the case where the corresponding state is a deviation in the medium reliable state, 5 represents the case where the corresponding state is medium in the medium reliable state, and 8 represents the case where the corresponding state is a preference in the medium reliable state; {9,10} indicates the range of the strongly reliable state, 9 indicates that the corresponding state is the case of normal good in the strongly reliable state, and 10 indicates that the corresponding state is the case of good in the strongly reliable state.

In some embodiments, the control method can be controlled by the medical temperature control device, and can also be controlled by an external temperature control device. In some embodiments, the medical temperature control device may have a chip with computing processing functionality. The medical temperature control device may include one or more combinations of electric blankets (blankets), electric pads (pads), electric mattress pads (mattresses), medical temperature control blankets, air blankets, water blankets, and the like. In some embodiments, the medical temperature control device may acquire the body temperature information and/or the measurement reliability index through a wireless transmission mode. The wireless transmission mode can comprise one or more combinations of wireless fidelity (wifi), zigbee (zigbee), Z-Wave (Z-Wave), infrared, 5G network, radio frequency, 433MHZ wireless, bluetooth and the like.

In some embodiments, the control method may determine the control output parameter according to the body temperature information, the measurement reliability index, and the target body temperature. In some embodiments, the control method may use one or more algorithm combinations, such as PID, neural network, etc., to determine the control output parameter.

The control output parameters may include one or more combinations of set temperature, ventilation, heating power, liquid flow, and the like. For example, when the medical temperature control device is an air blanket, the control output parameter may be a set temperature, a heating power, and/or a ventilation volume. For another example, when the medical temperature control device is an electric blanket, the control output parameters may be a set temperature and a heating power. For another example, when the medical temperature control device is a water blanket, the control output parameter may be a set temperature, a heating power, and/or a fluid flow rate.

In some embodiments, as shown in fig. 9, the control method may further determine a control output parameter according to the measurement reliability indicator. In some embodiments, the control output parameter is used for controlling the medical temperature control device to execute temperature control action. The temperature control behavior is used for actions to be executed under certain conditions. The temperature control action comprises one or more of heating, cooling, heat preservation, alarming, prompting and the like.

In some embodiments, as shown in fig. 9, when the measurement reliability indicator indicates that the body temperature information is weak and reliable, the control output parameter may be used to execute a temperature control behavior corresponding to the weak and reliable body temperature information. In some embodiments, when the measurement reliability indicator is weakly reliable, the control output parameter may be a safe control output parameter. For example, when the temperature control blanket is used in an operation, the measurement reliability index is weak and reliable, the temperature value in the control output parameter may be conservative 36.5 ℃, and the air volume is medium.

In some embodiments, as shown in fig. 9, when the measurement reliability indicator indicates that the body temperature information is strongly reliable, the control output parameter may be further determined according to the body temperature information and the target body temperature. For example, when the measurement reliability index is strong and reliable, the control output parameter can be determined according to the body temperature information, the target body temperature and the PID algorithm.

In some embodiments, as shown in fig. 9, when the measurement reliability indicator indicates that the body temperature information is moderately reliable, the control output parameter may be used to execute a temperature control behavior corresponding to the moderately reliable body temperature information. The control output parameter may be further determined according to the body temperature information, the measurement reliability index, and the target body temperature. For example, when the measurement reliability indicator is moderately reliable, the control output parameter may be determined according to the body temperature information, the measurement reliability indicator, the target body temperature, and the PID algorithm.

In some embodiments, as shown in fig. 9, the body temperature information may include a measured body temperature. And when the measured body temperature does not reach the target body temperature, outputting a corresponding control output parameter when the absolute value of the difference value between the measured body temperature and the target body temperature is greater than a preset threshold value within a preset time period. In some embodiments, when the absolute value of the difference between the measured body temperature and the target body temperature is greater than a preset threshold, it may be considered that the medical temperature control device has a fault state, and a control output parameter of the fault state is output. In some embodiments, the control output parameter of the fault state is used for controlling the temperature control action executed by the medical temperature control equipment, and the control output parameter can be an alarm and/or a prompt. In some embodiments, when the absolute value of the difference between the measured body temperature and the target body temperature is greater than a preset threshold, the control output parameter with output may be the control output parameter determined in the previous step. In some embodiments, the control output parameter is used to control the temperature control action performed by the medical temperature control device, and may be one or more combinations of heating, cooling, and maintaining.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and all the changes or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

A system for detecting parameters of body signs in the medical field, comprising: the system comprises a physical sign parameter acquisition and processing module and at least two physical sign parameter receiving modules;

the sign parameter acquisition and processing module interacts with the at least two sign parameter receiving modules, and the sign parameter acquisition and processing module outputs detection data to the at least two sign parameter receiving modules.
The vital sign parameter detection system of claim 1, wherein the vital sign parameter acquisition processing module comprises: a sensor;

the sensor comprises a temperature sensor, a blood oxygen sensor, an electrocardio sensor, a blood pressure sensor, a capacitance sensor, an acceleration sensor, an infrared sensor, a magnetic sensor, a photosensitive sensor or a distance sensor;

the sensor is used for obtaining a measured value, and the measured value comprises temperature information, blood oxygen information, electrocardiogram information, blood pressure information, a pressure value, a resistance value, a capacitance value, an inductance value, a voltage value, a current value, an acceleration value, an infrared signal value, a magnetic signal value, an optical signal value or a distance value.
The vital sign parameter detection system of claim 1, wherein the detection data comprises: measuring values, and/or processing data, and/or measuring reliability indicators;

the measured values are obtained by a sensor;

the processing data is obtained after being processed according to the measured value;

the measurement reliability indicator is used to evaluate the reliability of the measurement values and/or the processed data.
The vital sign parameter detection system of claim 1, wherein the vital sign parameter receiving module comprises: medical electric blankets (blankets), electric pads (pads), electric mattress pads (mattresses), heating devices, medical temperature control blankets, monitors, monitoring centers, Hospital Information Systems (HIS), handheld mobile terminals, printers or medical oxygen supply devices.
The vital sign parameter detection system of claim 3, wherein the vital sign parameter acquisition processing module further comprises: a data processing module and/or a converter connected with the sensor;

the data processing module is used for comprising: processing the measured value of the sensor to obtain the processed data and/or obtain the measurement reliability index, and/or realizing transmission range extension for relay forwarding of the protocol data for transmitting the detection data, and/or realizing protocol conversion for relay forwarding of the protocol data for transmitting the detection data, and/or realizing one-to-many distribution for relay distribution;

the converter is used for, including: converting the transmitted detection data into physical quantity, and/or realizing transmission range extension for relay forwarding of protocol data for transmitting the detection data, and/or realizing protocol conversion for relay forwarding of protocol data for transmitting the detection data;

the physical quantity comprises a pressure value, a resistance value, a capacitance value, an inductance value, a voltage value, a current value, an acceleration value, an infrared signal value, a magnetic signal value, an optical signal value or a distance value.
The vital sign parameter detection system of claim 2, wherein the temperature sensor comprises: contact temperature sensors, non-contact temperature sensors; the touch sensor includes: a thermosensitive temperature sensor, a semiconductor temperature sensor; the non-contact sensor includes: infrared temperature sensor, heat-sensitive temperature sensor.
The vital sign parameter detection system of claim 3, wherein the vital sign parameter acquisition processing module further comprises:

determining the measurement reliability index according to the measurement value;

determining the reliability of the measured value and/or the processed data according to the measurement reliability index;

the value range of the measurement reliability indicator is a set comprising at least three elements.
The vital sign parameter detection system of claim 1, wherein the interactive mode of the vital sign parameter acquisition and processing module interacting with the at least two vital sign parameter receiving modules comprises: wired connection, wireless fidelity (wifi), zigbee, Z-Wave, infrared, 5G network, radio frequency, 433MHZ wireless, bluetooth.
A reliability evaluation method for physical sign parameters in the medical field is characterized by comprising the following steps:

acquiring first measurement data;

generating a measurement reliability indicator for determining the reliability of the first measurement data;

the value range of the measurement reliability indicator is a set comprising at least three elements.
The method of claim 9, further comprising:

acquiring second measurement data;

and determining the measurement reliability index according to the second measurement data.
The method of claim 9, further comprising:

and determining the measurement reliability index according to the first measurement data.
The method of claim 9, wherein the range comprises: continuous and/or discrete amounts.
The system for detecting vital sign parameters of claim 9, wherein at least some elements of the range are used as states corresponding to the measure reliability indicator.
The vital sign parameter detection system of claim 13, wherein the states include at least: strong reliability, medium reliability and weak reliability.
The method according to claim 9 or 10, wherein the first measurement data, the second measurement data comprise: current measurement data, historical measurement data;

the method further comprises:

and determining the measurement reliability index according to the current measurement data and the historical measurement data.
The method according to claim 9 or 10, wherein the first measurement data, the second measurement data are obtained by a sensor;

the sensor includes: a temperature sensor, a blood oxygen sensor, an electrocardio sensor, a blood pressure sensor, a capacitance sensor, an acceleration sensor, an infrared sensor, a magnetic sensor, a photosensitive sensor or a distance sensor.
The method of claim 9, wherein the first measurement data comprises: physical sign parameters;

the physical sign parameters comprise: temperature information, blood oxygen information, electrocardio information, blood pressure information and the like.
The method of claim 10, wherein the second measurement data is a measurement value obtained by a sensor;

the measured values include: temperature information, blood oxygen information, electrocardiographic information, blood pressure information, a pressure value, a resistance value, a capacitance value, an inductance value, a voltage value, a current value, an acceleration value, an infrared signal value, a magnetic signal value, an optical signal value, a distance value, or the like.
A reliability evaluation method for physical sign parameters in the medical field is characterized by comprising the following steps:

receiving measurement data;

determining correction data according to the measurement data;

determining a measurement reliability index according to the measurement data;

the measurement reliability index is used to evaluate the reliability of the correction data.
The method of claim 19, wherein the measurement data comprises: current measurement data, historical measurement data;

the method further comprises:

and determining the measurement reliability index according to the current measurement data and the historical measurement data.
A control method of medical temperature control equipment is characterized by comprising the following steps:

acquiring body temperature information, measurement reliability indexes and a target body temperature;

determining a control output parameter according to the measurement reliability index;

the control output parameters are used for controlling the medical temperature control equipment to execute temperature control actions.
The control method of claim 21, wherein determining a control output parameter based on the measure reliability indicator, further comprises:

determining the control output parameter according to the body temperature information and the target body temperature;
the control method according to claim 21, wherein the medical temperature control device obtains the body temperature information and the measurement reliability index through a wireless transmission mode.
The control method of claim 23, wherein the wireless transmission mode comprises: wireless fidelity (wifi), zigbee (zigbee), Z-Wave (Z-Wave), infrared, 5G network, radio frequency, 433MHZ wireless, bluetooth.
The control method according to claim 21, wherein the body temperature information comprises current body temperature information and/or historical body temperature information, the measurement reliability indicator comprises a current measurement reliability indicator and/or a historical measurement reliability indicator, and the target body temperature comprises a current target body temperature and/or a historical target body temperature.
The control method according to claim 21, characterized by further comprising:

and when the measurement reliability index shows that the body temperature information is strong and reliable, the control output parameter is further determined according to the body temperature information and the target body temperature.
The control method according to claim 21, characterized by further comprising:

and when the measurement reliability index indicates that the body temperature information is weak and reliable, the control output parameter is used for executing the corresponding temperature control behavior when the body temperature information is weak and reliable.
The control method according to claim 21, characterized by further comprising:

and when the measurement reliability index shows that the measurement reliability is medium and reliable, the control output parameter is used for executing the temperature control behavior corresponding to the medium and reliable body temperature information.
The control method according to claim 21, wherein the body temperature information includes a measured body temperature;

the control method further includes:

and when the measured body temperature does not reach the target body temperature, outputting a corresponding control output parameter when the absolute value of the difference value between the measured body temperature and the target body temperature is greater than a preset threshold value within a preset time period.