WO2020168528A1 - Physical sign parameter detection system and reliability evaluation method of physical sign parameter - Google Patents

Abstract

A physical sign parameter detection system and a reliability evaluation method of a physical sign parameter in the field of medicines. The physical sign parameter detection system comprises: a physical sign parameter collection processing module and at least two physical sign parameter receiving modules, wherein the physical sign parameter collection processing module interacts with the at least two physical sign parameter receiving modules; and the physical sign parameter collection processing module outputs detection data to the at least two physical sign parameter receiving modules. By means of the physical sign parameter detection system and the reliability evaluation method of the physical sign parameter, the measurement reliability index of the collected physical sign parameter of a patient can be more accurately determined, so that treatment equipment can perform different treatment operations according to the physical sign parameter of the patient and the measurement reliability index.

Description

Signs parameter detection system, reliability evaluation method of sign parameters Technical field

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

Background technique

At present, monitors and medical physical sign parameter detection and control equipment in hospitals have different sources for obtaining similar physical sign parameter data, and similar physical sign parameters from different sources are caused by different sensor wearing positions or different sensor contact conditions with the human body or using different sensors. The deviation of the parameter data can easily cause confusion to the medical staff and even improper treatment results; during the nursing or operation in the hospital, the medical staff manually operate the medical sign parameter detection and control equipment according to the monitor display value obtained by the observation. It is cumbersome and prone to human errors. For example, medical staff observe the current human body temperature displayed by the monitor and manually set the heating power of the insulation blanket based on experience, or manually set the oxygen supply equipment based on the current blood oxygen value displayed by the monitoring device The oxygen output parameters. When measuring the patient’s physical parameters, due to the poor wearing of the physical parameter measurement sensor, the measurement data often deviates from the real data to a large or small amount. The medical staff or receiving equipment receiving the measurement data cannot judge the reliability of the measurement data. In the case of using this measurement data may bring risks to the patient. For example, when the temperature sensor is not worn properly, the measurement data is not the actual human body temperature data, but the body temperature data affected by the ambient temperature or wearing conditions. Use this data to control the insulation blanket Keeping the patient warm may cause the patient's body temperature to become too high and even burn the patient.

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

Summary of the invention

In order to solve the above problems, the purpose of the embodiments of the present application is to provide a physical sign parameter detection system in the medical field, a method for evaluating the reliability of physical sign parameters in the medical field, and a method for controlling medical temperature control equipment. .

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

In a second aspect, an embodiment of the present application provides a method for evaluating the reliability of physical sign parameters in the medical field, including: acquiring first measurement data; generating a measurement reliability index, the measurement reliability index being used to determine the first measurement Data reliability; the value range of the measurement reliability index is a set including at least three elements.

In a third aspect, an embodiment of the present application also provides a method for evaluating the reliability of physical sign parameters in the medical field, which is characterized in that it includes: receiving measurement data; determining correction data based on the measurement data; determining based on the measurement data Measurement reliability index; the measurement reliability index is used to evaluate the reliability of the correction data.

In a fourth aspect, the embodiments of the present application also provide a control method of a medical temperature control device, which is used to: obtain body temperature information, measurement reliability index, and target body temperature; determine control output parameters according to the measurement reliability index; The control output parameter is used to control the medical temperature control device to perform temperature control behavior.

In the embodiment of the present application, in a solution for a physical sign parameter detection system in the medical field, the physical sign parameter receiving module uses detection data from the same source to ensure the consistency of the display and/or control of each physical sign parameter receiving module, and avoid the need for medical care. Personnel cause trouble, reduce the probability of misoperation by medical staff; reduce the number of sensors worn by patients, reduce the probability of additional physical injury caused by the use of invasive or non-invasive sensors, and reduce the cost of medical treatment for patients; as long as one of the physical parameters is mentioned The receiving module can be connected to the HIS system in the hospital, and a variety of the physical sign parameter receiving modules can share the persistently recorded detection data in the HIS system in the hospital, avoiding some of the physical sign parameter receiving modules being unable to access by themselves The HIS system in the hospital cannot save the detection data input during treatment and nursing, thereby avoiding the inability to perform post-analysis on the treatment and nursing effects or failures of the physical sign parameter receiving module; it also uses measurement reliability indicators to evaluate the The reliability of the detection data allows the physical sign parameter receiving module to use the detection data more reasonably and safely.

In the solution of a method for evaluating the reliability of physical sign parameters in the medical field, the embodiment of the application adds a measurement reliability index to the physical sign parameter detection system, and also provides a method for calculating the measurement reliability index. The physical sign parameter receiving end module The measurement reliability index can be used to evaluate the reliability of the physical parameter measurement value or the processed data after the physical parameter measurement value processing, so that the physical parameter receiving module can use the physical parameter measurement value or the physical parameter measurement value more reasonably and safely. Data processing.

In the solution of a control method for a medical temperature control device, the embodiment of the present application realizes a method for the medical temperature control device to automatically control the temperature of the patient to stabilize the patient's body temperature in a small neighborhood near the target body temperature, so that the medical staff can avoid It is relieved from the work of manually setting the parameters of medical temperature control equipment according to the monitor's display body temperature and personal experience, and at the same time reduces the probability of misoperation caused by manual operation and insufficient experience. The measurement reliability index is added to evaluate the reliability of the patient's temperature information. The medical temperature control device sets and controls the output parameters more reasonably and safely according to the measurement reliability index, and avoids the use of wrong data to a greater extent. The control output parameters cause injury to the patient.

In order to make the above-mentioned objectives, features and advantages of the present application more obvious and understandable, the preferred embodiments and accompanying drawings are described in detail as follows.

Description of the drawings

In order to explain the technical solution of the present application more clearly, the following will briefly introduce the drawings that need to be used in the description. Obviously, the drawings in the following description are only some embodiments of the present application, which are common techniques in the field. As far as personnel are concerned, they can obtain other drawings based on these drawings without creative work.

Fig. 1 shows a schematic structural diagram of a physical 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 physical 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 physical 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 physical 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 a physical 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 physical 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 physical 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 a physical sign parameter detection system provided by Embodiment 1 of the present application;

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

detailed description

In the description of this application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " "Back", "Left", "Right", "Vertical", "Horizontal", "Top", "Bottom", "Inner", "Outer", "Clockwise", "Counterclockwise" and other directions or positions indicated The relationship is based on the orientation or position relationship shown in the drawings, only for the convenience of describing the application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, therefore It cannot be understood as a restriction on this application.

In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of these features. In the description of this application, "multiple" means two or more than two, unless otherwise specifically defined.

In this application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and other terms should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection , Or integrally connected; it can be a mechanical connection or an electrical connection; it can be a wired connection or a wireless connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be a connection between two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

It should be understood that the terms used in this application, such as "system", "unit", "module" and/or "block", are used to distinguish different components, elements, parts, parts or components at different levels. Kind of method. If other terms can achieve the same purpose, the other terms may also be used in this application to replace the aforementioned terms.

The terms used in this application are only used for the purpose of describing specific example embodiments, and are not restrictive. For example, unless the context clearly indicates otherwise, if a singular form is used for a certain element in this application (for example, "a", "an" and/or equivalent description), a plurality of such elements may also be included. The terms "including" and/or "including" used in this application refer to an open concept. For example, A includes/includes B only means that there is a feature of B in A, but it does not exclude the possibility that other elements (such as C) exist or be added to A.

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

Example 1

This embodiment provides a physical sign parameter detection system in the medical field. As shown in FIG. 1, it may include a physical sign parameter acquisition and processing module and at least two physical parameter receiving modules.

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

The physical sign parameter collection and processing module includes a sensor. The sensor may include one or more combinations of a temperature sensor, a blood oxygen sensor, an ECG sensor, a blood pressure sensor, a 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 to obtain measurement values, and the measurement values may include temperature information, blood oxygen information, ECG information, blood pressure information, pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, One or more combinations of infrared signal value, magnetic signal value, optical signal value or distance value.

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

The physical sign parameter receiving module may be a medical temperature control device, a medical monitoring device, or other medical control and/or display devices. The medical temperature control equipment may include one type of equipment or a combination of multiple equipment, such as medical electric blankets (blankets), electric heating pads (pads), electric heating mattresses (mattresses), heating equipment, and medical temperature control blankets. The medical monitoring device may include one device or a combination of multiple devices such as a monitor, a monitoring center, a hospital information system (HIS, hospital information system), and a handheld mobile terminal. The other medical control and/or display device may include one device or a combination of multiple devices such as a printer and a medical oxygen supply device. The heating device can be heated by means of liquid, gas, etc., and can also be heated by means of heating medium, such as resistance wire, electric ceramic.

For example, as shown in FIG. 2, the same temperature sensor such as a clinical thermometer, the measured body temperature and/or measurement reliability index obtained by the measurement can be directly or indirectly transmitted to the monitor and temperature control equipment such as medical temperature control blanket. In some embodiments, the measured body temperature and/or measurement reliability index obtained by the same temperature sensor may also be transmitted to monitors, monitoring centers, HIS systems in hospitals, handheld mobile terminals, printers, etc. For another example, the measured blood oxygen value and/or measurement reliability index measured by the same blood oxygen sensor can be directly or indirectly transmitted to the monitor and medical oxygen supply equipment.

In some embodiments, the physical parameter collection and processing module may further include a data processing module and/or 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 used to process the sensor measurement values to obtain the processed data, and may also be used to process the sensor measurement values to obtain the measurement reliability index. In some embodiments, the data processing module may process the originally collected data into usable data. For example, if multiple body surface temperatures are originally collected, the core temperature is further calculated by the data processing module. In some embodiments, the data processing module can extend the transmission range of the protocol data relay and forwarding that transmits the detection data. In some embodiments, the data processing module may implement protocol conversion for the relay and forwarding of protocol data that transmits the detection data. For example, the communication protocol with the temperature sensor is A, and the data processing module can convert the communication protocol A with the temperature sensor into a protocol corresponding to the receiving device according to the protocol requirements of the receiving device. In some embodiments, the data processing module may also be used for relay distribution to realize one-to-many distribution.

The converter can be used to convert the transmitted detection data into a physical quantity, can also be used to relay and forward the protocol data for transmitting the detection data to achieve transmission range expansion, and can also be used to transfer the detection data. The protocol data relay forwarding realizes protocol conversion.

Specifically, the above converter may implement one or more combinations of relay, protocol conversion, and protocol to physical quantity conversion. The relay includes the sensor sending data to the converter, and the converter continues to forward it to the next converter. The protocol conversion includes a protocol that can convert a wireless protocol in the air into a digital interface of the monitor. The conversion of the protocol to a physical quantity includes receiving a wireless digital protocol, which can be converted into a physical quantity such as a voltage value, a resistance value, and a current value, which can be received or sampled by a controlled device.

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

The temperature sensor may include a contact temperature sensor and/or a non-contact temperature sensor. The contact sensor includes a thermal temperature sensor and/or a semiconductor temperature sensor. The non-contact sensor includes an infrared temperature sensor and/or a thermal temperature sensor.

The physical sign parameter collection and processing module may further include determining the measurement reliability index according to the measurement value; determining the reliability of the measurement value and/or the processed data according to the measurement reliability index; The value range of the measurement reliability index is a set including at least three elements.

The interaction modes of the sign parameter collection and processing module and the at least two sign parameter receiving modules can include wired connection, wireless fidelity (wifi), zigbee protocol (Zigbee), Z wave (Z-Wave), infrared, 5G network, radio frequency , 433MHZ wireless, Bluetooth.

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

The physical sign parameter receiving end described in the following embodiment uses a monitor and a temperature control device as an example, but it does not mean that the sign parameter receiving end can only be a monitor and a temperature control device. It can also be a physical sign parameter receiving module that satisfies the above-mentioned physical signs, or this case. Other types of receivers that can receive physical parameters that are not listed.

The following embodiments use body temperature parameters as an example, but it does not mean that the physical sign parameters can only be body temperature, it can also be the physical sign parameters of this application, or other physical sign parameters not listed in this case.

In the following examples, a monitor is used for description, but it does not mean that it can only be a monitor, but can also be any display device that can be used to display physical signs.

The temperature control equipment in the following examples may also be one or more combinations of the aforementioned medical temperature control equipment.

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

In some embodiments, devices that communicate in a wireless manner can be bound to each other through a production tooling program during the production process. In some embodiments, the information that is bound to each other is written into each wireless device through a third-party wireless device. In some embodiments, the two-dimensional code on the thermometer and the converter can be respectively scanned through the data processing module that can scan the code to complete the binding of the thermometer and the data processing module and the binding of the converter and the data processing module.

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

In some embodiments, the clinical thermometer further encapsulates information such as the body temperature of the patient and the measurement reliability index 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 mean that there can only be two agreements, and there can be more agreements. For example, the clinical thermometer may transmit the first data protocol to the monitor. The monitor analyzes the first data protocol to obtain information such as the human body temperature and the measurement reliability index. For another example, the clinical thermometer may transmit the second data protocol to the temperature control device. The temperature control device parses the second data protocol to obtain information such as the human body temperature and the measurement reliability index.

In some embodiments, the monitor may display the human body temperature on a display device, may also display the measurement reliability index on a display device, or may emit a sound and sound according to the measurement reliability index. / Or light alarm or reminder. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 3 shows the second implementation of the physical sign parameter detection system in the medical field. The clinical thermometer can interact with the data processing module, and the data processing module can interact with the monitor and the temperature control device respectively. In some embodiments, the monitor and the temperature control device can also interact.

In some embodiments, the clinical thermometer can measure body temperature data and other information. The clinical thermometer can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The data processing module further receives the human body temperature, the measurement reliability index and other information, and sends the received information to the monitor, temperature control equipment, etc., respectively.

In some embodiments, the clinical thermometer can obtain information such as body temperature data. The data processing module can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The data processing module further sends the processed information to the monitor, temperature control equipment, etc., respectively.

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 4 shows a third implementation of the physical sign parameter detection system in the medical field. The thermometer can interact with the data processing module, the data processing module can interact with the first converter, and the data processing module can also interact with the first converter. The two converters interact, the first converter can interact with the monitor, and the second converter can interact with the temperature control device. In some embodiments, the monitor and the temperature control device can also interact.

In some embodiments, the clinical thermometer can measure body temperature data and other information. The clinical thermometer can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The data processing module receives the human body temperature, the measurement reliability index and other information, and transmits the received information to the first converter and the second converter respectively, and the first converter transmits The human body temperature, the measurement reliability index and other information are sent to the monitor, and the second converter transmits the human body temperature, the measurement reliability index and other information to the temperature control device and the like.

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

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 5 shows a fourth implementation of the physical sign parameter detection system in the medical field. The clinical thermometer interacts with the first converter, the clinical thermometer can also interact with the second converter, and the first converter can interact with the monitor. Interactively, the second converter can interact with the temperature control device. In some embodiments, the monitor and the temperature control device can also interact.

In some embodiments, the clinical thermometer can measure body temperature data and other information. The clinical thermometer can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The clinical thermometer transmits information such as the human body temperature and the measurement reliability index to the first converter and the second converter, and the first converter transmits the human body temperature and the measurement reliability Information such as indicators is transmitted to the monitor, and the second converter transmits information such as the human body temperature and the measurement reliability indicators to the temperature control device and the like.

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 6 shows the fifth implementation of the physical sign parameter detection system in the medical field. The clinical thermometer interacts with the first converter, the first converter can interact with the second converter, and the first converter can also interact with the second converter. Interacting with the monitor, the second converter can interact with the temperature control device. In some embodiments, the monitor and the temperature control device can also interact.

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

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 7 shows a sixth implementation of the physical sign parameter detection system in the medical field. The thermometer can interact with the data processing module, the data processing module can interact with the first converter, and the first converter can interact with the first converter. The two converters interact, the first converter can also interact with the monitor, and the second converter can interact with the temperature control device. In some embodiments, the monitor and the temperature control device can also interact.

In some embodiments, the clinical thermometer can measure body temperature data and other information. The clinical thermometer can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The data processing module receives the human body temperature, the measurement reliability index and other information, and transmits the received information to the first converter, and the first converter converts the human body temperature and the measurement The reliability index and other information are transmitted to the second converter, the first converter transmits the human body temperature, the measurement reliability index and other information to the monitor, and the second converter transmits the human body The body temperature, the measurement reliability index and other information are provided to the temperature control device and the like.

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

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the human body temperature exceeds a preset normal range, the monitor sends out an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

Figure 8 shows the seventh implementation of the physical sign parameter detection system in the medical field. The clinical thermometer can measure information such as body temperature data. The clinical thermometer interacts with the data processing module, and the data processing module can interact with the converter. The processing module can also interact with the temperature control device, and the converter interacts with the monitor. In some embodiments, the monitor and the temperature control device can also interact.

In some embodiments, the clinical thermometer can measure body temperature data and other information. The clinical thermometer can process the body temperature data and other information to obtain the body temperature, the measurement reliability index and other information. The data processing module receives the human body temperature, the measurement reliability index, and other information, and transmits the received information to the converter, which transmits the human body temperature, the measurement reliability index, etc. The information is sent to the monitor, and the data processing module can also transmit the human body temperature, the measurement reliability index and other information to the temperature control device and the like.

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

In some embodiments, the monitor may display the human body temperature on a display device, and may also display the measurement reliability index on a display device. In some embodiments, when the body temperature of the human body exceeds a preset normal range, the monitor issues an alarm to remind doctors, nurses, etc. 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 remind doctors and nurses.

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 indicators, and thereby maintain the patient's current body temperature. There is a slight fluctuation near the target body temperature.

It should be noted that the interaction between the sign parameter receiving module and the sign parameter collection and processing module may be partial interaction, or corresponding interaction respectively, or any interaction method such as overlapping interaction. For example, the physical sign parameter acquisition and processing module may include a clinical thermometer, which may interact with a handheld mobile terminal, and/or a monitoring center, and/or an HIS system in a hospital; for another example, the physical sign parameter acquisition and processing module may include data Processing module, the data processing module can interact with a handheld mobile terminal, and/or a monitoring center, and/or an HIS system in a hospital; for another example, the physical parameter collection and processing module can include a converter, and the converter can interact with The handheld mobile terminal, and/or the monitoring center, and/or the HIS system in the hospital interact; for another example, the physical sign parameter collection and processing module may include a clinical thermometer, a data processing module, and the clinical thermometer may interact with a handheld mobile terminal and a monitor, At the same time, the data processing module can interact with the temperature control device. For another example, the physical sign parameter collection and processing module may further include a clinical thermometer, a data processing module, and a converter, 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 collection and processing module may include a clinical thermometer and a data processing module. The clinical thermometer can interact with a handheld mobile terminal and a monitor. At the same time, the data processing module can also interact with the monitor.

For illustration only, the physical sign parameter collection and processing module of the present application only describes an exemplary embodiment including a clinical thermometer. It should be noted that the physical sign parameter collection and processing module of this application can also include blood oxygen sensors, blood pressure sensors, and ECG sensors, as well as sensors that can be used for physical sign parameter collection such as thermometers, blood oxygen sensors, blood pressure sensors, and ECG sensors. , One or more combinations of probes.

Example 2

This embodiment provides a method for evaluating the reliability of physical sign parameters in the medical field, which may include: acquiring first measurement data; generating a measurement reliability index, where the measurement reliability index is used to determine the reliability of the first measurement data; The value range of the measurement reliability index is a set including 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: determining the measurement reliability index according to the first measurement data.

In some embodiments, the measurement data may include temperature information, blood oxygen information, ECG information, blood pressure information, pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, infrared signal value , Magnetic signal value, optical signal value or distance value, etc. one or more. 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 time t or before time t when time is t. The historical measurement data may be data or data combinations 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 that t(n), and the historical measurement data may be the data measured at t(n-1).

In some embodiments, the measurement reliability index 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, and the second measurement data is historical measurement temperature data. According to the current measurement temperature data and historical measurement temperature data, the measurement reliability index is further determined, and the measurement reliability index is used to determine the measurement reliability index. Describe the reliability of the current measured temperature data.

The measurement data can be obtained through sensor sampling. The sensor includes one or more combinations of temperature sensor, blood oxygen sensor, ECG sensor, blood pressure sensor, capacitance sensor, acceleration sensor, pressure sensor, infrared sensor, photosensitive sensor or distance sensor.

In some embodiments, the value range of the measurement reliability index is a set including at least three elements. The value range of the measurement reliability index may be defined by factory settings, may also be defined according to actual needs during use, or may be customized after machine learning. In some embodiments, the elements include one or more combinations of Arabic numerals, natural language characters, English letters, Greek letters, mathematical symbols, and characters in various languages. In some embodiments, at least some elements of the value range may be used as the state corresponding to the measurement reliability index. For example, the range of the measurement reliability index may include {A, B, C}, 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 weakly reliable state. The subdivision states can be further defined in the strong, medium and weak reliability states. In some embodiments, the receiving end device that receives the measurement reliability index may define different reliability states for the value range of the same measurement reliability index according to the strength of the receiving end device's own requirements for the reliability of physical parameters. For example, a 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 status. The monitor and medical temperature control blanket are used as the receiving end equipment. The monitor can define three alarm levels as [0%, 10%) to indicate that the thermometer is off, and the body temperature is unreliable, and [10%, 90%) indicates The thermometer has not completely fallen off, and the reliability of human body temperature is moderate. [90%, 100%) means that the thermometer is relatively stable to wear, and the reliability of human body temperature is good. The monitor can issue an alarm to remind medical staff according to the above-mentioned divided range status; medical insulation blanket Four states can be defined

[0%, 10%) indicates that the thermometer has fallen off, and the body temperature is unreliable, [10%, 50%) indicates that the thermometer has not completely fallen off, and the reliability of human body temperature is moderate deviation, [50%, 90%) represents that the thermometer has not completely fallen off, The reliability of human body temperature is medium preference,

[90%, 100%) means that the thermometer is relatively stable to wear, and the body temperature is reliable. The medical insulation blanket can alarm according to the above-divided value range status to remind medical staff to adjust the wearing of the thermometer. The measurement reliability index can also be used as a weight for calculation Temperature control parameters.

For another example, the range of the measurement reliability index may include {strongly reliable state, weakly reliable state}. In some embodiments, the value range of the measurement reliability index may include a continuous quantity and/or a discrete quantity. For example, the value range of the measurement reliability index is the discrete numerical range of {0,1,2,3,4,5,6,7,8,9,10}, where 0～10 indicate the corresponding state degree is The change from the worst reliability to the best reliability, that is, 0 represents the worst reliability situation, and 10 represents the best reliability situation. For another example, the range of measuring reliability index is a combination of discrete and continuous {0, [1.0, 9.0], 10}, 0 can mean completely unreliable, 10 can mean completely reliable, and [1.0, 9.0] continuous Quantities can represent different levels of moderate reliability; for example, the range of the measurement reliability index is a continuous interval range of [0.0,10.0], where 0.0 represents the worst reliability situation, and 10.0 represents the best reliability situation; For another example, the range of measuring reliability indicators is {{0,1},{2,5,8},{9,10}}, where {0,1} represents the value range of a weakly reliable state, and 0 represents The corresponding state is the worst case in the weakly reliable state, 1 indicates that the corresponding state is the second worst case in the weakly reliable state; {2,5,8} indicates the range of the moderately reliable state, and 2 indicates that the corresponding state is medium In the case of a deviation in the reliable state, 5 indicates that the corresponding state is a moderately reliable state, and 8 indicates that the corresponding state is a preference in a moderately reliable state; {9,10} indicates the range of a strong reliable state, and 9 indicates The corresponding state is the generally good case in the strong reliability state, and 10 indicates that the corresponding state is the best case in the strong reliability state. In some embodiments, the element may be single or ranged. For example, the value range of the measurement reliability index can be a continuous numerical interval range of {[0%,10%),[10%,50%),[50%,90%),[90%,100%]}, Among them, [0%, 10%) indicates that the corresponding state is a weakly reliable state, [10%, 50%) indicates that the corresponding state is a moderately reliable state, and [50%, 90%) indicates that the corresponding state is In the case of medium reliable state preference, [90%, 100%] indicates that the corresponding state is a strong reliable state. For another example, the value range of the measurement reliability index can also 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 weakly 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 index 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 should be noted that the element set of the range of the measurement reliability index is only used in the exemplary embodiment, and other possible forms are not excluded.

In some embodiments, the first measurement data may include physical sign parameters including one or more combinations of temperature information, blood oxygen information, electrocardiogram information, blood pressure information, and the like. In some embodiments, the first measurement data may determine the measurement reliability index, and the measurement reliability index may be used to determine the reliability of the first measurement data.

For example, when the human body uses a body temperature sensor, the body temperature sensor is located on the clinical thermometer to measure the body temperature of the human body. In some embodiments, the human body temperature may be processed by the physical sign parameter collection and processing module of the physical sign parameter detection system to obtain the measurement reliability index, or may be transmitted to other processing modules to obtain the measurement reliability index after processing. When the current time is t(0), the human body temperature value at that time is T(0), and the human body temperature value at the historical time t(-1), t(-2),..., t(-n) is T (-1), T(-2),..., T(-n), calculate the average human body temperature from t(0) to t(-n) as A. In addition, the human body temperature values at historical time t(-1), t(-2),...,t(-m) are selected as T(-1), T(-2),...,T(-m), where If m is less than n, calculate the standard deviation S of the m+1 individual body temperature value relative to the mean A from t(0) to t(-m). The historical time t(-1) represents a time before t(0), and so on, t(-m) represents m time before t(0), and t(-n) represents t(0) before N times. Then according to the pre-defined reference standard deviation SS, SS is a value determined based on multiple measurement statistics. Finally, the measurement reliability index E is calculated, E=(|S-SS|)/SS, that is, E is used as the measurement reliability index of the human body temperature.

In some embodiments, the second measurement data may be a measurement value collected by a contact or non-contact sensor, and the measurement value includes temperature information, blood oxygen information, ECG information, blood pressure information, pressure value, resistance value, One or more of capacitance value, inductance value, voltage value, current value, acceleration value, infrared signal value, magnetic signal value, optical signal value or distance value.

In some embodiments, the second measurement data may determine the measurement reliability index, and the measurement reliability index 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 degree of reliability of the temperature information measured. The first measurement data is temperature information, which can be measured by the body temperature sensor, and the second measurement data is a capacitance value or a measured digital value that indirectly expresses the capacitance value, and can be measured by the capacitance sensor. The measurement reliability index is calculated according to the capacitance value or the measurement digital value, and the measurement reliability index can evaluate the reliability of the measurement value of the body temperature sensor.

For another example, when the human body uses a body thermometer, the body temperature sensor is located on the body thermometer to measure the body temperature of the body. The clinical thermometer includes a capacitance sensor. The capacitance sensor may also be located on the clinical thermometer for measuring the closeness of the clinical thermometer to the human body. The measurement value obtained by the capacitance sensor is contact capacitance data, and the contact capacitance data It can be a capacitance value or a measured digital value that indirectly expresses the capacitance value. In some embodiments, the contact capacitance data can be processed by the physical parameter acquisition and processing module of the physical parameter detection system to obtain the measurement reliability index, or can be transmitted to other processing modules to obtain the measurement reliability index for processing.

The physical sign parameter collection and processing module can continuously sample periodically, or sample at regular intervals. The body temperature sensor measures the human body temperature at the current moment, and the capacitance sensor can buffer the contact capacitance data of a specified time window width including the current moment, and calculate the average value of the contact capacitance data within the time window width , Using the average value as the measurement reliability index of the human body temperature at the current moment.

In some embodiments, the contact capacitance data can be measured by a method of detecting the charging and discharging time of resistance and capacitance. In some embodiments, the larger the value in the data, the longer the time required for charging, the larger the capacitance value, and the closer the contact between the capacitive sensor and the human body. Conversely, when the value in the data is smaller, the contact with the human body is looser. In some embodiments, the average range of the contact capacitance data series can be divided from small to large. For example, the range of the average value of the contact capacitance data sequence is {A, B, C}, where A represents the segment with a smaller average value of the contact capacitance data sequence, and C represents the segment with a larger average value of the contact capacitance data sequence. B represents the segment where the mean value of the contact capacitance data series is between A and C. According to the relationship between the capacitance value and the degree of close contact between the capacitive sensor and the human body, A indicates that the corresponding state is a weakly reliable state, B indicates that the corresponding state is a moderately reliable state, and C indicates that the corresponding state is a strong reliable state. In some embodiments, according to specific product requirements, the values in each segment of {A, B, C} can be further used to describe more detailed human body temperature reliability evaluation, for example, segment A can be further subdivided For {completely reliable, excellent reliability}, segment B can be further subdivided into {medium reliability preference, moderate reliability deviation}, and segment C can be further subdivided into {relatively weak reliability, completely unreliable}. In some embodiments, how to use the human body temperature and the measurement reliability index may be determined according to the acceptable degree of risk when each receiving end device uses the human body temperature. For example, when the receiving end device is a monitor and a temperature control device, the monitor will not alarm for the human body temperature whose measurement reliability index is better than that of segment C, and the monitor will alarm for the measurement reliability index of segment C , And the temperature control equipment will select the appropriate algorithm according to the value of the measured reliability index and/or use the value of the measured reliability index as the algorithm parameter to calculate the temperature control parameter.

Example 3

This embodiment also proposes a method for evaluating the reliability of physical sign parameters in the medical field, which may include: receiving measurement data; determining correction data based on the measurement data; determining the measurement reliability index based on the measurement data; 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 include determining the measurement reliability index based on the current measurement data and the historical measurement data.

In some embodiments, the measurement data may include temperature information, blood oxygen information, ECG information, blood pressure information, pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, infrared signal value , Magnetic signal value, optical signal value or distance value, etc. one or more. The measurement data can be obtained through sensor sampling. The sensor includes one or more combinations of temperature sensor, blood oxygen sensor, ECG sensor, blood pressure sensor, capacitance sensor, acceleration sensor, pressure sensor, infrared sensor, photosensitive sensor or distance sensor. In some embodiments, the correction data may be obtained based on one or more measurement data. In some embodiments, when the reliability of the correction data is good, the correction data can be further used as a usable physical sign parameter. For example, when the body temperature correction data is reliable, the body temperature correction data can be transmitted to monitors, temperature control equipment, etc., and medical staff and/or medical equipment, etc. use the data for follow-up work.

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 clinical thermometer and used to measure 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 the physical sign parameter collection processing module of the physical parameter detection system to obtain the human body temperature, or may be transmitted to other processing modules to obtain the human body temperature for processing.

In some embodiments, the first body temperature data and the second body temperature data may form a temperature gradient. In some embodiments, the temperature gradient relationship may be used, or the first body temperature data and the second body temperature data may be mutually compensated to obtain the body temperature through a data fitting method. 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 is used as the correction data.

In some embodiments, the capacitance sensor is located on the clinical thermometer and can be used to measure how closely the clinical thermometer is in contact with the human body. The capacitance sensor measures the contact capacitance data. In some embodiments, the contact capacitance data can be used as a component of the measurement data. For example, the measurement data may include contact capacitance data, first body temperature data, and second body temperature data. In some embodiments, the contact capacitance data can be processed by the physical parameter acquisition and processing module of the physical parameter detection system to obtain the measurement reliability index, or can be transmitted to other processing modules to obtain the measurement reliability index for processing.

The physical sign parameter collection and processing module can continuously sample periodically, or sample at regular intervals. The body temperature sensor measures the human body temperature at the current moment, the capacitance sensor can buffer the contact capacitance data sequence of a specified time window width including the current moment, calculate the average value of the contact capacitance data sequence within the time window width, and use the average value as The measurement reliability index of the human body temperature at the current moment.

In some embodiments, the contact capacitance data can be measured by a method of detecting the charging and discharging time of resistance and capacitance. The larger the value in the contact capacitance data, the longer the charging time, the larger the capacitance value, and the closer the capacitive sensor is in contact with the human body. Conversely, when the value in the data is smaller, the contact with the human body is looser. In some embodiments, the average range of the contact capacitance data series can be divided from small to large. For example, the range of the average value of the contact capacitance data sequence is {A, B, C}, where A represents the segment with a smaller average value of the contact capacitance data sequence, and C represents the segment with a larger average value of the contact capacitance data sequence. B represents the segment where the mean value of the contact capacitance data series is between A and C. According to the relationship between the capacitance value and the degree of close contact between the capacitive sensor and the human body, A indicates that the corresponding state is a weakly reliable state, B indicates that the corresponding state is a moderately reliable state, and C indicates that the corresponding state is a strong reliable state. In some embodiments, according to specific product requirements, the values in each segment of {A, B, C} can be further used to describe more detailed human body temperature reliability evaluation, for example, segment A can be further subdivided For {completely reliable, excellent reliability}, segment B can be further subdivided into {medium reliability preference, moderate reliability deviation}, and segment C can be further subdivided into {relatively weak reliability, completely unreliable}. In some embodiments, how to use the human body temperature and the measurement reliability index may be determined according to the acceptable degree of risk when each receiving end device uses the human body temperature. For example, when the receiving end device is a monitor and a temperature control device, the monitor will not alarm for the human body temperature whose measurement reliability index is better than that of segment C, and the monitor will alarm for the measurement reliability index of segment C , And the temperature control equipment will select the appropriate algorithm according to the value of the measured reliability index and/or use the value of the measured reliability index as the algorithm parameter to calculate the temperature control 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 clinical thermometer and used to measure 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 the physical sign parameter collection processing module of the physical parameter detection system to obtain the human body temperature, or may be transmitted to other processing modules to obtain the human body temperature for processing. For example, the physical sign parameter collection and processing module may obtain the body temperature of the human body through the temperature gradient relationship according to 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 form a temperature gradient. In some embodiments, the temperature gradient relationship may be used, or the first body temperature data and the second body temperature data may be mutually compensated to obtain the body temperature through a data fitting method. 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 is used as the correction data.

In some embodiments, the first body temperature data and the second body temperature data may further determine measurement reliability indicators. In some embodiments, the measurement reliability index may be obtained after processing by the sign parameter acquisition and processing module of the sign parameter detection system, or may be obtained after processing by other processing modules. When the current time is t1(0), the human body temperature value at that time is T1(0), and T1(0) is used as the first body temperature data. Select the human body temperature values at historical time t1(-1), t1(-2),...,t1(-n) as T1(-1), T1(-2),...,T1(-n), and calculate from The average body temperature A1 from t1(0) to t1(-n). In addition, the human body temperature values at historical time t1(-1), t1(-2),..., t1(-m) are selected as T1(-1), T1(-2),..., T1(-m), where m is less than n, calculate the standard deviation S1 of the m+1 individual body temperature value from the mean value A1 from t1(0) to t1(-m). 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 t1(0) before N times. Then according to the pre-defined reference standard deviation SS, SS is a value determined based on multiple measurement statistics. Finally, the measurement reliability index E1 is calculated, E1=(|S1-SS|)/SS, that is, E1 is used as the measurement reliability index of the first body temperature data.

In some embodiments, the second body temperature data may be calculated using the same calculation process as the measurement reliability index E1 of the first body temperature data to further obtain the reliability index E2 of the second body temperature data, that is, E2=( |S2-SS|)/SS.

In some embodiments, the first body temperature data and the second body temperature data may have a temperature gradient relationship. According to the degree to which the body temperature data is close to the body temperature, when evaluating the reliability of the body temperature, it is E1 And E2 respectively increase the weight parameters W1 and W2, and calculate E=W1*E1+W2*E2, E as the measurement reliability index of the human body temperature.

Example 4

This embodiment provides a control method of a medical temperature control device. As shown in FIG. 9, the control method includes acquiring body temperature information, a measurement reliability index, and a target body temperature; and determining control output parameters according to the measurement reliability index ; The control output parameter is used to control the medical temperature control device to perform temperature control behavior.

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

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

The measurement reliability index is used to indicate the degree of reliability of the body temperature information. The range of the measured reliability index may include a continuous quantity and/or a discrete quantity. For example, in some embodiments, the range of the measured reliability index is {0,1,2,3,4,5,6, 7,8,9,10} discrete numerical interval range, where 0～10 means the corresponding state degree is the change from the worst reliability to the best reliability, that is, 0 means the worst case of reliability, 10 means The case where the reliability is the best; for another example, in some embodiments, the value range of the measurement reliability index is a combination of discrete and continuous quantities {0, [1.0, 9.0], 10}, 0 can mean completely unreliable, 10 can indicate complete reliability, and continuous quantities of [1.0, 9.0] can indicate varying degrees of moderate reliability; for another example, in some embodiments, the value range of the measurement reliability index is the continuous interval range of [0.0, 10.0], Among them, 0.0 represents the worst case of reliability, and 10.0 represents the best case of reliability. At least some elements of the value range of the measurement reliability index are used as the state corresponding to the measurement reliability index; the state of the measurement reliability index may include strong reliability, medium reliability, and weak reliability; The strong reliability, the medium reliability, and the weak reliability state can all be further subdivided into a plurality of discrete or continuous quantities to express a more detailed degree of reliability of the body temperature information; for example, in some embodiments, the measurement is reliable The range of the performance index is {{0,1},{2,5,8},{9,10}}, where {0,1} represents the value range of the weakly reliable state, and 0 represents the corresponding state is weak The worst case in the reliable state, 1 indicates that the corresponding state is the second worst case in the weakly reliable state; {2,5,8} indicates the range of the medium reliable state, and 2 indicates that the corresponding state is the deviation in the medium reliable state Situation, 5 indicates that the corresponding state is medium-reliable state medium-medium, 8 indicates that the corresponding state is medium-reliable state preference; {9,10} indicates the range of strong reliable state, and 9 indicates that the corresponding state is strong Generally good in the reliable state, 10 indicates that the corresponding state is the best in the strong reliable state.

In some embodiments, the control method can be self-controlled by a medical temperature control device, or can be controlled by an external temperature control device. In some embodiments, the medical temperature control device may have a chip with computing and processing functions. The medical temperature control equipment may include one or more combinations of electric blankets (blankets), electric pads (pads), electric mattresses (mattresses), medical temperature control blankets, air blankets, water blankets, etc. In some embodiments, the medical temperature control device may obtain body temperature information and/or measure reliability indicators through wireless transmission. The wireless transmission method may include one or more combinations of wireless fidelity (wifi), zigbee protocol (Z-Wave), infrared, 5G network, radio frequency, 433MHz wireless, Bluetooth, etc.

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 and neural network to determine the control output parameter.

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

In some embodiments, as shown in FIG. 9, the control method may also determine the control output parameter according to the measurement reliability index. In some embodiments, the control output parameter is used to control the medical temperature control device to perform a temperature control behavior. The temperature control behavior is used for actions that need to be performed under certain conditions. The temperature control behavior includes one or more combinations of heating, cooling, heat preservation, alarming, and prompting.

In some embodiments, as shown in FIG. 9, when the measurement reliability index indicates that the body temperature information is weak and reliable, the control output parameter may be used to perform temperature control corresponding to when the body temperature information is weak and reliable. behavior. In some embodiments, when the measurement reliability index is weak and reliable, the control output parameter may be a safe control output parameter. For example, when the temperature control blanket is used in surgery, the measurement reliability index is weak and reliable, and the temperature value in the control output parameter can be a conservative 36.5°C and the air volume is medium.

In some embodiments, as shown in FIG. 9, when the measurement reliability index indicates that the body temperature information is strong and reliable, the control output parameter may be further determined based on 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 index indicates that the body temperature information is moderately reliable, the control output parameter may be used to perform the temperature control corresponding to when the body temperature information is moderately reliable. behavior. 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 index is moderately reliable, the control output parameter may be determined according to the body temperature information, the measurement reliability index, the target body temperature and the PID algorithm.

In some embodiments, as shown in FIG. 9, the body temperature information may include measured body temperature. When the measured body temperature does not reach the target body temperature, the corresponding control output parameter is output when the absolute value of the difference between the measured body temperature and the target body temperature is greater than a preset threshold 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 can be considered that the medical temperature control device has a fault state and outputs the control output parameters of the fault state. In some embodiments, the control output parameter of the fault state used to control the temperature control behavior performed by the medical temperature control device may be an alarm and/or 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 used to control the temperature control behavior performed by the medical temperature control device may be one or more combinations of heating, cooling, and keeping warm.

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Should be covered within the scope of protection of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims (29)

A physical sign parameter detection system in the medical field is characterized by comprising: a physical sign parameter acquisition and processing module and at least two physical sign parameter receiving modules; The physical sign parameter acquisition and processing module interacts with the at least two physical sign parameter receiving modules, and the physical sign parameter acquisition and processing module outputs detection data to the at least two physical parameter receiving modules. The physical sign parameter detection system according to claim 1, wherein the physical sign parameter collection and processing module comprises: a sensor; The sensor includes a temperature sensor, a blood oxygen sensor, an ECG sensor, a blood pressure sensor, a 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 to obtain measurement values, the measurement values including temperature information, blood oxygen information, ECG information, blood pressure information, pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, infrared Signal value, magnetic signal value, optical signal value or distance value. The physical sign parameter detection system according to claim 1, wherein the detection data includes: measurement values, and/or processing data, and/or measurement reliability indicators; The measurement value is obtained by a sensor; The processed data is obtained after processing according to the measured value; The measurement reliability index is used to evaluate the reliability of the measurement value and/or the processed data. The physical sign parameter detection system according to claim 1, wherein the physical sign parameter receiving module comprises: medical electric blankets (blankets), electric heating pads (pads), electric heating mattresses (mattresses), heating equipment, medical temperature control Blanket, monitor, monitoring center, hospital information system (HIS), handheld mobile terminal, printer or medical oxygen supply equipment. The physical sign parameter detection system according to claim 3, wherein the physical sign parameter collection and processing module further comprises: a data processing module and/or a converter connected to the sensor; The data processing module is configured to include: processing the sensor measurement value to obtain the processed data and/or obtain the measurement reliability index, and/or implement relay and forwarding of protocol data for transmitting the detection data Expansion of the transmission range, and/or relay and forwarding of protocol data for transmitting the detection data to implement protocol conversion, and/or relay distribution to implement one-to-many distribution; The converter is used to include: converting the transmitted detection data into a physical quantity, and/or relaying and forwarding the protocol data for transmitting the detection data to achieve transmission range expansion, and/or for transmitting the detection data Protocol data relay and forwarding to realize protocol conversion; The physical quantity includes pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, infrared signal value, magnetic signal value, optical signal value or distance value. The physical sign parameter detection system according to claim 2, wherein the temperature sensor includes: a contact temperature sensor, a non-contact temperature sensor; the contact sensor includes: a thermal temperature sensor, a semiconductor temperature sensor; The non-contact sensor includes: infrared temperature sensor and thermal temperature sensor. The physical sign parameter detection system according to claim 3, wherein the physical sign parameter collection and processing module further comprises: Determine the measurement reliability index according to the measurement value; Determine the reliability of the measurement value and/or the processed data according to the measurement reliability index; The value range of the measurement reliability index is a set containing at least three elements. The physical sign parameter detection system according to claim 1, wherein the interaction mode of the physical sign parameter collection and processing module and at least two physical sign parameter receiving modules includes: wired connection, wireless fidelity (wifi), Zigbee Protocol (zigbee), Z-Wave, infrared, 5G network, radio frequency, 433MHZ wireless, Bluetooth. A method for evaluating the reliability of physical sign parameters in the medical field, which is characterized in that it includes: Obtain the first measurement data; Generating a measurement reliability index, where the measurement reliability index is used to determine the reliability of the first measurement data; The value range of the measurement reliability index is a set containing at least three elements. The method according to claim 9, characterized in that, the method further comprises: Acquiring second measurement data; The measurement reliability index is determined according to the second measurement data. The method according to claim 9, characterized in that, the method further comprises: According to the first measurement data, the measurement reliability index is determined. The method according to claim 9, wherein the value range comprises: continuous quantity and/or discrete quantity. The physical sign parameter detection system according to claim 9, wherein at least some elements of the value range are used as the state corresponding to the measurement reliability index. The physical sign parameter detection system according to claim 13, wherein the status includes at least: strong reliability, medium reliability, and weak reliability. The method according to claim 9 or 10, wherein the first measurement data and the second measurement data comprise: current measurement data and historical measurement data; The method further includes: Determine 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 and the second measurement data are obtained by sensors; The sensors include temperature sensors, blood oxygen sensors, electrocardiogram sensors, blood pressure sensors, pressure sensors, capacitance sensors, acceleration sensors, infrared sensors, magnetic sensors, photosensitive sensors or distance sensors. The method according to claim 9, wherein the first measurement data comprises: physical sign parameters; The physical sign parameters include temperature information, blood oxygen information, electrocardiogram information, blood pressure information, and the like. The method according to claim 10, wherein the second measurement data is a measurement value obtained by a sensor; The measurement values include: temperature information, blood oxygen information, electrocardiogram information, blood pressure information, pressure value, resistance value, capacitance value, inductance value, voltage value, current value, acceleration value, infrared signal value, magnetic signal value, light Signal value or distance value, etc. A method for evaluating the reliability of physical sign parameters in the medical field, characterized in that it includes: Receive measurement data; Determine correction data according to the measurement data; Determine the measurement reliability index according to the measurement data; The measurement reliability index is used to evaluate the reliability of the correction data. The method according to claim 19, wherein the measurement data comprises: current measurement data and historical measurement data; The method further includes: Determine the measurement reliability index according to the current measurement data and the historical measurement data. A control method of medical temperature control equipment, characterized in that the control method includes: Obtain body temperature information, measurement reliability indicators and target body temperature; Determine the control output parameter according to the measurement reliability index; The control output parameter is used to control the medical temperature control device to perform temperature control behavior. The control method according to claim 21, wherein the determining the control output parameter according to the measurement reliability index 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 wireless transmission. The control method according to claim 23, wherein the wireless transmission mode includes: wireless fidelity (wifi), zigbee protocol (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 includes current body temperature information and/or historical body temperature information, and the measurement reliability index includes a current measurement reliability index and/or a historical measurement reliability index, The target body temperature includes the current target body temperature and/or the historical target body temperature. The control method according to claim 21, wherein the control method further comprises: When the measurement reliability index indicates 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, wherein the control method further comprises: When the measurement reliability index indicates that the body temperature information is weak and reliable, the control output parameter is used to perform a temperature control behavior corresponding to when the body temperature information is weak and reliable. The control method according to claim 21, wherein the control method further comprises: When the measurement reliability index indicates that the measurement reliability is moderately reliable, the control output parameter is used to execute the temperature control behavior corresponding to the moderately reliable body temperature information. The control method according to claim 21, wherein the body temperature information includes measuring body temperature; The control method further includes: When the measured body temperature does not reach the target body temperature, the corresponding control output parameter is output when the absolute value of the difference between the measured body temperature and the target body temperature is greater than a preset threshold within a preset time period.

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