CN115670398A - Physiological parameter detection method and device - Google Patents

Physiological parameter detection method and device Download PDF

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Publication number
CN115670398A
CN115670398A CN202110853351.7A CN202110853351A CN115670398A CN 115670398 A CN115670398 A CN 115670398A CN 202110853351 A CN202110853351 A CN 202110853351A CN 115670398 A CN115670398 A CN 115670398A
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China
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physiological parameter
value
time period
set time
user
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王璐
何志健
王润森
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to CN202110853351.7A priority Critical patent/CN115670398A/en
Priority to PCT/CN2022/107617 priority patent/WO2023005874A1/en
Publication of CN115670398A publication Critical patent/CN115670398A/en
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals

Abstract

The application discloses a physiological parameter detection method and device. The method comprises the following steps: when a physiological parameter detection request is received, outputting a physiological parameter value-out scheme, wherein the physiological parameter value-out scheme comprises any one of the following items: high value output rate, high accuracy rate and self-defined value output rate; receiving the physiological parameter value-out scheme selected by a user; detecting a physiological parameter value in a first set time period; and outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user. A corresponding apparatus is also disclosed. By adopting the scheme, when the physiological parameters are detected, the physiological parameter output schemes are output for the user to select, and the deviation of each physiological parameter output scheme on the output precision and the reliability is different, so that the user can flexibly set the output precision and the reliability, and the flexibility of the physiological parameter output is improved.

Description

Physiological parameter detection method and device
Technical Field
The application relates to the technical field of wearable equipment, in particular to a physiological parameter detection method and device.
Background
The detection of physiological parameters is of great significance to the health and safety of the user. The physiological parameters include body temperature, heart rate, blood glucose, etc. Among them, body temperature is an important basic physical sign of human body, and is a necessary condition for ensuring normal metabolism and vital activities. Some diseases are often accompanied by abnormal body temperature, and body temperature plays an important role in various application scenes such as sports health, female health, living habits, smart home and the like besides having an important role in disease preliminary screening and the like.
The current temperature measurement products comprise an electronic thermometer, an ear thermometer, a forehead thermometer, a body temperature sticker, a temperature measurement bracelet and the like, and the temperature measurement principle is based on one or combination of a thermistor, infrared thermal radiation or thermal flux.
Electronic thermometers, ear thermometers, forehead thermometers and other devices are used for measuring the body temperature of a user at a single time, and are not suitable for scenes in which the body temperature needs to be continuously monitored for a long time; the body temperature sticker and the temperature measuring bracelet mostly adopt a thermistor temperature measuring principle, an algorithm is needed for compensation, and the body temperature detection precision cannot be guaranteed. And like this kind of product form of body temperature subsides, need the user to paste it on one's body and carry out the motion, user experience and travelling comfort are relatively poor, and sweat can produce very big influence to the temperature measurement precision after the sweat.
Therefore, most of the existing thermometric schemes and devices can only realize single detection of the body temperature. Few solutions, such as temperature patches, enable continuous detection but have a low temperature measurement experience. Wearing equipment based on wrist principle can realize that body temperature detects in succession. However, the continuous body temperature measurement user scenario is not controllable, and the challenge to the thermometry algorithm is greater. The continuous detection scene of the body temperature is complex, and the accuracy and the reliability of the body temperature output value can be influenced.
Some applications tend to have continuous and high value-out rates, and some applications tend to have as accurate a value as possible. However, the setting of accuracy and reliability of the output value of the physiological parameter is relatively fixed at present, and the accuracy and reliability of the output value cannot be flexibly set.
Disclosure of Invention
The application provides a physiological parameter detection method and device, so that a user can flexibly set the accuracy and the reliability of output values, and the flexibility of the output values of physiological parameters is improved.
In a first aspect, a method for detecting a physiological parameter is provided, the method comprising: when a physiological parameter detection request is received, outputting a physiological parameter value-out scheme, wherein the physiological parameter value-out scheme comprises at least one of the following: high value output rate, high accuracy rate and self-defined value output rate; receiving the physiological parameter value-out scheme selected by a user; detecting a physiological parameter value in a first set time period; and outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user. In the aspect, when the physiological parameters are detected, the physiological parameter output schemes are output for the user to select, and the output precision and the reliability of each physiological parameter output scheme are different in bias, so that the user can flexibly set the output precision and the reliability, and the flexibility of the output of the physiological parameters is improved.
In one possible implementation, the physiological parameter valuation scheme is a custom valuation rate, and the receiving the physiological parameter valuation scheme selected by the user includes: receiving the increasing or decreasing operation information of the user on the output rate, and determining the output rate corresponding to the last increasing or decreasing operation of the user on the output rate as the physiological parameter output scheme selected by the user; and/or receiving the scroll operation information of the user on the output rate scroll bar, and determining that the output rate corresponding to the scroll bar after the user stops the scroll operation is the physiological parameter output scheme selected by the user. In the implementation, the value output rate can be conveniently customized through the increasing or decreasing operation of the value output rate or the scrolling operation of a value output rate scroll bar.
In yet another possible implementation, the method further comprises: acquiring a physiological parameter trend in a second set time period according to the physiological parameter value in the second set time period, wherein the second set time period is greater than or equal to the first set time period; and correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user. In the implementation, in the physiological parameter trend formed by the detected physiological parameter values in a period of time, the condition that the physiological parameter trend is not in accordance with the actual behavior state of the user may exist, and the physiological parameter values obtained in the period of time can be corrected according to the actual behavior state of the user, so that the obtained physiological parameter trend is in accordance with the actual condition, and the accuracy of physiological parameter detection is improved.
In yet another possible implementation, the modifying the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user includes: the physiological parameter value output scheme is a high value output rate, the physiological parameter trend in a part of time periods in the physiological parameter trend in the second set time period is inconsistent with the historical behavior state of the user, and the physiological parameter value in the part of time inconsistent with the historical behavior state of the user is deleted; or the physiological parameter value output scheme is high in accuracy, the physiological parameter trend in the second set time period is lack of the physiological parameter trend in a part of time periods, the physiological parameter trend in the second set time period is consistent with the historical behavior state of the user, and the physiological parameter value in the lack of the part of time periods is supplemented according to the physiological parameter trend in the second set time period and the historical behavior state of the user. In this implementation, the out-value scheme is a high out-value rate, which means that the user expects out-value continuously and the out-value rate is high, and therefore, the physiological parameter trend is substantially continuous, but there may be a situation in which the physiological parameter trend in a part of the time period is inconsistent with the actual behavior state of the user, and therefore, the physiological parameter value in a part of the time period inconsistent with the historical behavior state of the user may be deleted, so that the obtained physiological parameter trend is in line with the actual situation. Similarly, a high accuracy rate of the value-out scheme means that the user tends to figure out as accurately as possible, and therefore the physiological parameter trend may not be continuous, but the lack of physiological parameter values for a partial time period may be supplemented to obtain a physiological parameter trend that is as continuous as possible, depending on the user's historical behavior state.
In yet another possible implementation, the method further comprises: determining the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than a set value; and determining the output value reliability of the physiological parameter value in the first set time period according to the probability. In this implementation, the accuracy of the out-value confidence is improved.
In yet another possible implementation, the method further comprises: acquiring a physiological parameter correlation value in the first set time period; judging whether the current physiological parameter detection scene belongs to a candidate physiological parameter detection scene or not according to the physiological parameter value and the physiological parameter correlation value in the first set time period; if the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene, not outputting the physiological parameter value in the first set time period; and if the current physiological parameter detection scene does not belong to the candidate physiological parameter detection scene, outputting the physiological parameter value in the first set time period according to the output value reliability of the physiological parameter value in the first set time period and the physiological parameter output value scheme selected by the user. In the implementation, the candidate physiological parameter detection scene can be utilized to judge whether the value is obtained or not, so that the value obtaining judgment is facilitated.
In a second aspect, there is provided a physiological parameter detection apparatus, the apparatus comprising: a first output unit, configured to output a physiological parameter out-value scheme when receiving a physiological parameter detection request, where the physiological parameter out-value scheme includes at least one of: high value output rate, high accuracy rate and self-defined value output rate; the receiving unit is used for receiving the physiological parameter value-out scheme selected by the user; the detection unit is used for detecting the physiological parameter value in a first set time period; and the second output unit is used for outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
In one possible implementation, the physiological parameter valuation scheme is a custom valuation rate; the receiving unit is used for receiving the increasing or decreasing operation information of the user on the output rate, and determining the output rate corresponding to the last increasing or decreasing operation of the user on the output rate as the physiological parameter output scheme selected by the user; and/or the receiving unit is used for receiving the scroll operation information of the user on the output rate scroll bar and determining the output rate corresponding to the scroll bar after the user stops the scroll operation as the physiological parameter output scheme selected by the user.
In yet another possible implementation, the apparatus further includes: the first acquisition unit is used for acquiring the physiological parameter trend in a second set time period according to the physiological parameter value in the second set time period, wherein the second set time period is greater than or equal to the first set time period; and the correction unit is used for correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
In yet another possible implementation, the modification unit is configured to use the physiological parameter output scheme as a high output rate, where the physiological parameter trend in a part of the physiological parameter trend in the second set time period is inconsistent with the historical behavior state of the user, and delete the physiological parameter value in the part of the physiological parameter trend inconsistent with the historical behavior state of the user; or the correction unit is used for ensuring that the physiological parameter value output scheme has high accuracy, the physiological parameter trend in a part of time periods is lacked in the physiological parameter trend in the second set time period, the physiological parameter trend in the second set time period is consistent with the historical behavior state of the user, and the physiological parameter value in the lacked part of time periods is supplemented according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
In yet another possible implementation, the apparatus further includes: the first determining unit is used for determining the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than a set value; and the second determining unit is used for determining the output value reliability of the physiological parameter values in the first set time period according to the probability.
In yet another possible implementation, the apparatus further includes: the second acquisition unit is used for acquiring the physiological parameter correlation value in the first set time period; the judging unit is used for judging whether the current physiological parameter detection scene belongs to a candidate physiological parameter detection scene or not according to the physiological parameter value and the physiological parameter correlation value in the first set time period; the second output unit is used for not outputting the physiological parameter value in the first set time period if the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene; and the second output unit is further configured to output the physiological parameter value within the first set time period according to the output value reliability of the physiological parameter value within the first set time period and the physiological parameter output value scheme selected by the user if the current physiological parameter detection scene does not belong to the candidate physiological parameter detection scene.
In a third aspect, a physiological parameter detecting apparatus is provided, which includes an input device and an output device, and further includes: a processor adapted to implement one or more instructions; and a computer storage medium storing one or more instructions adapted to be loaded by the processor and to perform the method of the first aspect or any of the first aspects.
In a fourth aspect, there is provided a computer storage medium storing one or more instructions adapted to be loaded by a processor and to perform the method of the first aspect or any implementation of the first aspect.
Drawings
Fig. 1 is a schematic flowchart of a physiological parameter detection method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an exemplary physiological parameter sensing user interface according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating body temperature detection performed by a wearable device indicated by a mobile phone according to an embodiment of the present application;
FIG. 4 is a schematic flowchart of another physiological parameter detecting method according to an embodiment of the present disclosure;
FIG. 5 is a graph illustrating a trend of a physiological parameter over a second set time period according to an embodiment of the present disclosure;
FIG. 6 is a graph illustrating a trend of another physiological parameter during a second predetermined time period according to an embodiment of the present disclosure;
FIG. 7 is a schematic diagram illustrating user experience improvement interaction based on derived credibility according to an embodiment of the present application;
fig. 8 is a schematic flowchart of another physiological parameter detection method according to an embodiment of the present application;
fig. 9 is a schematic diagram illustrating a reliability determination of an output value according to an embodiment of the present application;
fig. 10 is a schematic diagram illustrating a determination of a candidate physiological parameter detection scenario based on reliability determination according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of a physiological parameter detecting device according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of another physiological parameter detection provided in the embodiment of the present application.
Detailed Description
The embodiments of the present application will be described below with reference to the drawings.
As shown in fig. 1, a schematic flowchart of a physiological parameter detection method provided in an embodiment of the present application is shown, where the method may include the following steps:
s101, when a physiological parameter detection request is received, outputting a physiological parameter value-out scheme, wherein the physiological parameter value-out scheme comprises any one of the following: high output rate, high accuracy and self-defined output rate.
The physiological parameter detection device can be used for detecting the physiological parameters and outputting detection values (called 'output values' for short) in real time or periodically. The physiological parameter detection device can be a wearable device, other terminals and the like. The physiological parameter detection device can continuously detect the physiological parameter of the user.
The physiological parameters may include: body temperature, heart rate, blood glucose, etc.
For physiological parameter output, some users have higher tolerance to the accuracy of physiological parameter output, namely can tolerate slightly lower accuracy of output, but are interested in the variation trend of physiological parameters, and the output is expected to be continuous and higher in output rate. Some users tend to yield values that are as accurate as possible. Therefore, different users have different requirements on the physiological parameter output value. Furthermore, the processing of the physiological parameter output may be different for different physiological parameters or different applications.
As shown in the schematic diagram of the physiological parameter detection user interface shown in fig. 2, a user selects and opens a physiological parameter detection application on a physiological parameter detection device (e.g., a wearable device), that is, the physiological parameter detection device receives a physiological parameter detection request, and the application outputs a physiological parameter output scheme to the user based on a physiological parameter output reliability. Optionally, the user may also open the physiological parameter detection application through another terminal (e.g., a mobile phone), and set the physiological parameter value output scheme. The physiological parameter sensing user interface on the other terminal may be the same as or different from the user interface on the physiological parameter sensing device. Illustratively, the physiological parameter evaluation scheme includes at least one of: high output rate, high accuracy and self-defined output rate.
Optionally, a user prompt may pop up for each physiological parameter out-of-value scenario selected by the user. For example, assuming that the user selects the "high out rate" scheme, a user prompt pops up: the output scheme is mainly oriented to users who are interested in the variation trend of the physiological parameters and have high tolerance on the output precision of the physiological parameters. The high out-of-value rate means that the confidence threshold value is greater than A% and the value can be out. Illustratively, taking body temperature detection as an example, as shown in fig. 2, a user prompt of "you can know your whole body temperature trend throughout the day under this option" pops up. After checking the user prompt, the user determines to continue to select the scheme of 'high out-rate', and the physiological parameter detection device can also prompt the user to select a confirmation key; otherwise, the user may select another valuation scheme. For another example, assuming the user selects the "high accuracy" scheme, a user prompt pops up: the value output scheme is mainly oriented to users with high requirements on the value output precision of the physiological parameters. High accuracy means that the value can be obtained only if the confidence threshold is greater than B%, wherein B% is greater than A%. Illustratively, taking body temperature detection as an example, as shown in fig. 2, a user prompt of "you can obtain your high-precision body temperature data under this option, and give your health protection and driving flight" pops up. Under the selection, the output physiological parameters can be discontinuous or even single-point, but each output value can better reflect the real physiological parameters of the user at the moment, help the user to know the physical condition of the user and protect the user from driving healthily. After checking the user prompt, the user determines to continue to select the high-accuracy scheme, and the physiological parameter detection device can prompt the user to select a confirmation key; otherwise, the user may select another valuation scheme. For another example, assuming that the user selects the "custom out-value rate" scheme, a user prompt pops up: under the output scheme, a user can adjust the output rate according to the self requirement. When the output rate is higher, the corresponding output precision is possibly lower, and the trend of the physiological parameters is more continuous; the accuracy of the output value is higher when the output value rate is lower, and the output value trend may be discontinuous. Illustratively, taking body temperature detection as an example, as shown in fig. 2, a user prompt of "the user can select a value rate according to the requirement in this option" pops up. After checking the user prompt, the user determines to continue to select the scheme of 'self-defined output rate', and the physiological parameter detection device can also prompt the user to select a confirmation key; otherwise, the user may select another valuation scheme.
For example, assuming that the user selects the "self-defined out-value rate" scheme, there may be the following ways to self-define out-value rate:
one implementation is that, as shown in fig. 2, in the physiological parameter detection user interface, assuming that the user selects the "customized output rate" scheme, in addition to outputting the user prompt, the increase "+" and decrease "-" buttons may be displayed, and the user may operate the "+" or "-" buttons according to the user's own requirements on the output rate and output accuracy to customize the output rate. Illustratively, the user may continue to operate the "+" or "-" buttons until a desired out-value rate is achieved. Namely, the physiological parameter detecting device receives the increasing or decreasing operation information of the user's output rate, and since the "+" or "-" button may need to be continuously operated, the output rate corresponding to the last increasing or decreasing operation of the user's output rate is determined as the physiological parameter output scheme selected by the user. For example, in fig. 2, assuming that the initial out-rate of the interface is 0 under the self-defined out-rate scheme, the user may operate the "+" button for 6 times, until the interface displays a value rate of 0.6, which is the out-rate scheme selected by the user. Wherein, the value output rate means that the value output rate is Y/X100% when X times of physiological parameter values are detected and Y times of physiological parameter values are output.
Another implementation is to set an out-rate scroll bar that the user can drag to continuously set the out-rate until the user stops the scrolling operation. The out-rate scrollbar has a starting value of 0 and an end value of 1.0. The physiological parameter detection device may receive the scroll operation information of the user on the output rate scroll bar, and determine that the output rate corresponding to the scroll bar after the user stops the scroll operation is the physiological parameter output scheme selected by the user.
And S102, receiving a physiological parameter value-out scheme selected by a user.
The physiological parameter detection device receives the physiological parameter value output scheme finally selected by the user. For example, the user confirms selection of a high out-rate scheme, a high accuracy scheme, or a custom out-rate scheme. And if the user selects the user-defined outing rate scheme, receiving the outing rate set by the user.
S103, detecting the physiological parameter value in the first set time period.
And entering an output value measurement interface after the output value scheme is selected. The physiological parameter detection device can detect the physiological parameter value in a certain time period by using a sensor and the like. The first set time period may be set by the user or may be a default time period. The first set period of time may be a longer period of time, for example, a day; or it may be a period of time randomly set by the user, for example 5 minutes.
S104, outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
After the physiological parameter value in the first set time period is detected, the physiological parameter value in the first set time period can be output according to the physiological parameter value output scheme selected by the user.
Specifically, if the user selects the "high value-out rate" value-out scheme, it is determined whether the confidence level of each detected physiological parameter value in the first set time period is greater than a%, and if the confidence level of the physiological parameter value is greater than a%, the value is output.
If the user selects the high-accuracy value-obtaining scheme, judging whether the reliability of each detected physiological parameter value in the first set time period is greater than B%, and if the reliability of the physiological parameter value is greater than B%, obtaining the value.
If the user selects the 'self-defining' value output scheme, and the self-defining value output rate is assumed to be C%, whether the reliability of each detected physiological parameter value in the first set time period is greater than C% is judged, and if the reliability of the physiological parameter value is greater than C%, the value is output.
By carrying out value judgment on the reliability of each detected physiological parameter value in the first set time period, the physiological parameter trend in the first set time period can be obtained.
Optionally, the physiological parameter detection device is a wearable device, and the physiological parameter value in the first set time period can also be synchronized to other terminals (for example, a mobile phone). Other terminals can also output the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
As shown in the schematic diagram of fig. 3 illustrating that the wearable device is instructed to perform body temperature detection by the mobile phone, the user 08. The body temperature is output together with the historical body temperature detected before, and the body temperature trend of the user in the current day can be obtained.
According to the physiological parameter detection method provided by the embodiment of the application, when the physiological parameter is detected, the physiological parameter output scheme is output for the user to select, and the deviation of each physiological parameter output scheme on the output precision and the reliability is different, so that the user can flexibly set the output precision and the reliability, and the flexibility of the physiological parameter output is improved.
As shown in fig. 4, a schematic flow chart of another physiological parameter detection method provided in the embodiment of the present application may include the following steps:
s401, outputting a physiological parameter value output scheme when a physiological parameter detection request is received. The physiological parameter value-out scheme comprises at least one of the following: high output rate, high accuracy and self-defined output rate.
S402, receiving a physiological parameter value-out scheme selected by a user.
S403, detecting the physiological parameter value in the first set time period.
S404, outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
The specific implementation of steps S401 to S404 can refer to the related description of steps S101 to S104 in the embodiment shown in fig. 1.
S405, acquiring a physiological parameter trend in a second set time period according to the physiological parameter value in the second set time period, wherein the second set time period is greater than or equal to the first set time period.
The physiological parameter detection device can acquire the physiological parameter value in a longer period of time. The second set time period may be set by the user or may be a default. For example, the second set time period is one day. The second set time period is greater than or equal to the first set time period.
The physiological parameter trend within the second set time period may be output at the user interface of the physiological parameter sensing device. The physiological parameter value in the second set time period can also be synchronized to other terminals, and the physiological parameter trend in the second set time period is output on the user interfaces of other terminals.
And S406, correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
The user checks the physiological parameter trend in the second set time period on the user interface, and then the user can review the behavior state of the user in the second set time period and determine whether the physiological parameter trend in the second set time period is consistent with the behavior state of the user. If not, the physiological parameter value in the second set time period can be corrected.
Optionally, the modification of the physiological parameter value in the second set time period may include the following implementation manners:
one implementation is that the physiological parameter output scheme is a high output rate, the physiological parameter trend in a part of the physiological parameter trend in the second set time period is inconsistent with the historical behavior state of the user, and the physiological parameter value in a part of the physiological parameter trend in the second set time period is deleted.
As illustrated in the graph of fig. 5, a trend of the physiological parameter over the second set time period is substantially continuous if the physiological parameter out-value scheme selected by the user is a high out-value rate (e.g., an out-value rate of 0.9), and the out-value rate is relatively high. However, the user reviews his behavior status within the second set time period (e.g., one day), and finds out that the physiological parameter trend is 6: 00. 14-00 and 22. For example, the user has a cold, in the range of 6: 00. 14-00 in a high fever state, the fever reducing drug is taken at 18. In order to make the physiological parameter trend in this second period as realistic as possible, the physiological parameter values in the part of time that are not consistent with the historical behavior state of the user may be deleted. For example, a ratio of 6: 00. 14-18. The physiological parameter trend over the portion of the time period may then be wiped off. As shown in fig. 5, the physiological parameter trend in the part of the time period is erased by using a gray frame. Further, in combination with the correction operation and the physiological parameter value in the second time period, the output rate under the correction operation may also be reversely determined (e.g., adjusted to 0.6), and then the determined output rate may be synchronized to the wearable device and other terminals, thereby achieving intelligent and personalized output adjustment.
Another implementation is that the physiological parameter output scheme has high accuracy, the physiological parameter trend in the second set time period lacks the physiological parameter trend in a part of the time period, the physiological parameter trend in the second set time period is consistent with the historical behavior state of the user, and the physiological parameter value in the part of the time period is supplemented according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
As another example of the physiological parameter trend graph illustrated in fig. 6, if the physiological parameter out-value scheme selected by the user is high accuracy (e.g., out-value rate is 0.6), the physiological parameter trend may be discontinuous, but each out-value is high in confidence. However, the user reviews his/her behavior status in the second set time period (e.g., one day), and finds that the historical behavior status of the users 8. For example, a curve with a consistent trend of the physiological parameter of the existing second set time period can be drawn by a dotted line in the absence time period, so as to obtain a complete trend of the physiological parameter of the second set time period. Further, in combination with the correction operation and the physiological parameter value in the second time period, the output rate under the correction operation may also be reversely determined (e.g., adjusted to 0.8), and then the determined output rate may be synchronized to the wearable device and other terminals, thereby realizing intelligent and personalized output adjustment.
In summary, as shown in fig. 7, a schematic diagram of performing user experience improvement interaction based on the output reliability is provided in the embodiment of the present application. In the embodiment, the user presets the output scheme (the preset reliability threshold) to perform real-time detection, and flexible output can be realized based on the preset reliability threshold. The detected physiological parameter data may then be synchronized, counted and presented. The user can evaluate the value condition based on the statistical view, and reversely feed back and update the credibility threshold value, thereby realizing value personalization. The balance of satisfactory output and accuracy of the user is achieved.
According to the physiological parameter detection method provided by the embodiment of the application, when the physiological parameter is detected, the physiological parameter output scheme is output for the user to select, and the deviation of each physiological parameter output scheme to the output precision and the reliability is different, so that the user can flexibly set the output precision and the reliability, and the flexibility of the physiological parameter output is improved; when the obtained physiological parameter trend in the second set time period does not accord with the historical behavior state of the user, the physiological parameter trend in the second set time period can be corrected according to the historical behavior state of the user, so that the physiological parameter trend in the second set time period accords with the actual behavior state of the user, and the accuracy of physiological parameter detection is improved; the output rate under the correction operation can be reversely determined by combining the correction operation and the physiological parameter value in the second time period, and the determined output rate is synchronized to the wearable device and other terminals, so that intelligent and personalized output adjustment is realized.
As shown in fig. 8, a schematic flowchart of another physiological parameter detection method provided in the embodiment of the present application is shown, where the method may include the following steps:
s801, outputting a physiological parameter value output scheme when a physiological parameter detection request is received. The physiological parameter value-out scheme comprises at least one of the following: high output rate, high accuracy and self-defined output rate.
The step may be implemented by referring to step S101 in the embodiment shown in fig. 1 or step S401 in the embodiment shown in fig. 4.
S802, receiving a physiological parameter value-out scheme selected by a user.
The step may be implemented by referring to step S102 in the embodiment shown in fig. 1 or step S402 in the embodiment shown in fig. 4.
And S803, detecting the physiological parameter value in the first set time period.
The step may be implemented by referring to step S103 in the embodiment shown in fig. 1 or step S403 in the embodiment shown in fig. 4.
S804, acquiring the physiological parameter correlation value in the first set time period.
Taking body temperature detection as an example, the wearable device is worn on the wrist of the user, and besides the wrist skin temperature of the user can be detected, some physiological parameter correlation values can be obtained. As shown in fig. 9, in the output value reliability determination schematic diagram provided in the embodiment of the present application, the physiological parameter related value includes an environment temperature, a motherboard temperature of the wearable device, a heart rate of the user, a motion state of the user, a battery temperature of the wearable device, an acceleration, and the like. The physiological parameter related value can be obtained by the same or different sensor as the measured body temperature. For example, the wrist skin temperature of the user may be measured by a first temperature sensor, the ambient temperature may be obtained by a second sensor, the main board temperature and the battery temperature of the wearable device may be obtained by a third sensor, the heart rate of the user may be obtained by a fourth sensor, and the exercise state of the user and the acceleration of the user may be obtained by an Accelerometer (ACC). The first, second, third and fourth sensors may be the same sensor or different sensors.
S805, judging whether the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene or not according to the physiological parameter value and the physiological parameter correlation value in the first set time period. If not, proceeding to step S806; if the scene is a candidate physiological parameter detection scene, the process proceeds to step S809.
According to the physiological parameter value and the physiological parameter correlation value in the first set time period, the current temperature measurement scene can be preliminarily judged, and scenes which do not meet the value output condition are filtered.
Alternatively, candidate physiological parameter detection scenarios may be predefined. As shown in fig. 9, if the current temperature measurement scenario is a candidate physiological parameter detection scenario, it is determined that a physiological parameter value within a first set time period is not output, that is, a value is not given, or the current temperature measurement scenario is called as a value-not-given field, and further, a reason for the value not given may also be given; and if the current temperature measurement scene is not the candidate physiological parameter detection scene, judging whether the value is obtained or not based on the reliability of the physiological parameter value.
Exemplarily, as shown in fig. 10, a schematic diagram of a candidate physiological parameter detection scenario determination based on confidence level determination is provided in the embodiment of the present application.
For example, if the candidate physiological parameter detection scene is a cold source/heat source-free scene, in the scene, the environment temperature should be less than XX ℃, and/or the skin temperature should be less than XX ℃, and according to the fact that the obtained real environment temperature is greater than XX ℃, it is determined that the current temperature measurement scene does not belong to the cold source/heat source-free scene.
For another example, assuming that the candidate physiological parameter detection scenario is a user thermal balance scenario (i.e., no wind), in the scenario, the ambient temperature fluctuates by XX ℃ in an interval of XX minutes, and the obtained real ambient temperature fluctuates by XX ℃, and/or the skin temperature fluctuates by XX ℃ in an interval of XX minutes, and the ambient temperature fluctuates by XX ℃, and the obtained real ambient temperature fluctuates by XX ℃, and/or the skin temperature of the wrist in an interval of XX minutes exceeds XX ℃, and the wrist temperature < the ambient temperature < the motherboard temperature, it is determined that the current temperature measurement scenario does not belong to the user thermal balance scenario.
For another example, assuming that the candidate physiological parameter detection scene is a resting scene, in the scene, the dynamic heart rate variation in the XX minute interval is > XX, and the sum of the dynamic heart rate and the monotonous heart rate variation in the XX minute interval is > XX, and/or the previous time mark is "potential motion" and the monotonous heart rate variation in the XX minute interval is > XX, it is determined that the current temperature measurement scene does not belong to the resting scene.
For another example, if the candidate physiological parameter detection scene is a wearable device tight-wearing scene, in the scene, the sum of absolute values of skin temperature change rates in XX minutes is > XX ℃, and the sum of absolute values of second-order skin temperature change rates in XX minutes is > XX ℃, and the obtained true skin temperature does not meet the above conditions, it is determined that the current temperature measurement scene does not belong to the tight-wearing scene.
In the step, partial candidate temperature measurement scenes are identified through combination of data thresholds such as skin temperature, environment temperature, main board temperature and heart rate and threshold values, and accurate algorithm value accuracy can be guaranteed in the scenes. Scene recognition thresholds can be set according to existing competitive products, guidelines and self-collected data analysis. Taking the environment temperature as an example, the threshold value setting can refer to the existing competitive products, and the threshold value is obtained by analyzing and summarizing the collected data and the collected scene.
S806, if the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene, determining the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than a set value.
After the current temperature measurement scene can be preliminarily judged according to the physiological parameter values and the physiological parameter correlation values in the first set time period, the current temperature measurement scene is determined not to be a candidate physiological parameter detection scene, and then the probability that the difference value between each physiological parameter value and the gold mark in the first set time period is smaller than the set value can be determined based on a credibility calculation model (which can be a deep learning model or a classic machine learning model).
As shown in fig. 9, the gold label may be set to 0.4 ℃. And determining the difference value of each physiological parameter value in the first set time period and the gold mark. And according to the value-out scheme selected by the user, determining the probability that the difference value between each physiological parameter value and the gold mark in the first set time period is smaller than a set value (value-out threshold value): XX percent.
S807, determining the output value credibility of the physiological parameter values in the first set time period according to the probability.
And S808, outputting the physiological parameter value in the first set time period according to the output value credibility of the physiological parameter value in the first set time period and the physiological parameter output value scheme selected by the user.
In conjunction with fig. 9, assuming that the user selects a high-accuracy field (i.e., a high-confidence field), the probability > =0.6 that the difference between the physiological parameter value and the gold mark is less than the set value (out-value threshold), and the probability that the difference between each physiological parameter value and the gold mark in the first set time period is less than the set value (out-value threshold) is determined to be 0.8, the physiological parameter value in the first set time period is output. Under the high credibility field, the probability is higher, and the accuracy and the credibility of the output value are higher.
Assuming that the user-defined intermediate confidence level requires that the probability > =0.5 that the difference between the physiological parameter value and the gold mark is smaller than the set value (output threshold), and the probability that the difference between each physiological parameter value and the gold mark in the first set time period is smaller than the set value (output threshold) is determined to be 0.55, the physiological parameter value in the first set time period is output.
Assuming that the user selects a field with a high out-of-value rate (i.e. a field with a low confidence), the probability that the difference between the physiological parameter value and the gold mark is less than the set value (out-of-value threshold) is required to be greater than or equal to 0.2 and less than 0.5, and the probability that the difference between each physiological parameter value and the gold mark within the first set time period is less than the set value (out-of-value threshold) is determined to be 0.3, the physiological parameter value within the first set time period is output. Under the low credibility field, the output rate is high, the output value is basically continuous, and the accuracy and the credibility of the output value are considered to be low.
And S809, if the current physiological parameter detection scene does not belong to the candidate physiological parameter detection scene, not outputting the physiological parameter value in the first set time period.
On the basis, the confidence level corresponding to the value of the physiological parameter detection algorithm is presented to the upper layer application, the upper layer application can be selectively used according to the requirement, if the application trend output value is continuous and the output rate is high, the confidence threshold value can be adjusted to be low, the threshold value can be output when the threshold value is met, and if the application trend output value is accurate as much as possible, the confidence threshold value is adjusted to be high and presented to the user.
According to the physiological parameter detection method provided by the embodiment of the application, when the physiological parameter is detected, the physiological parameter output scheme is output for the user to select, and the deviation of each physiological parameter output scheme to the output precision and the reliability is different, so that the user can flexibly set the output precision and the reliability, and the flexibility of the physiological parameter output is improved; and determining the output value reliability of the physiological parameter value in the first set time period according to the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than the set value, and judging whether the physiological parameter value is output or not, thereby further improving the flexibility of the output value of the physiological parameter.
Based on the same concept of the above physiological parameter detection method, as shown in fig. 11, an embodiment of the present application further provides a physiological parameter detection apparatus, where the apparatus 1100 may include:
a first output unit 111, configured to output a physiological parameter out-value scheme when receiving a physiological parameter detection request, where the physiological parameter out-value scheme includes at least one of: high value output rate, high accuracy rate and self-defined value output rate; a receiving unit 112, configured to receive the physiological parameter value-out scheme selected by the user; a detection unit 113, configured to detect a physiological parameter value within a first set time period; and a second output unit 114, configured to output the physiological parameter value within the first set time period according to the physiological parameter value output scheme selected by the user.
In one possible implementation, the physiological parameter valuation scheme is a custom valuation rate; the receiving unit 112 is configured to receive information of increasing or decreasing operation on the out-value rate by the user, and determine that the out-value rate corresponding to the last increasing or decreasing operation on the out-value rate by the user is the physiological parameter out-value scheme selected by the user; and/or the receiving unit 112 is configured to receive scroll operation information of the user on a value output rate scroll bar, and determine that the value output rate corresponding to the scroll bar after the user stops scroll operation is the physiological parameter value output scheme selected by the user.
In yet another possible implementation, the apparatus 1100 further comprises (indicated by dashed lines in the figure): the first obtaining unit 115 is configured to obtain a trend of the physiological parameter within a second set time period according to the physiological parameter value within the second set time period, where the second set time period is greater than or equal to the first set time period; and a correcting unit 116, configured to correct the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
In yet another possible implementation, the modification unit 116 is configured to use the physiological parameter out-value scheme as a high out-value rate, delete physiological parameter values in a part of time period that are inconsistent with the historical behavior state of the user in the physiological parameter trend in the second set time period; or the correcting unit 116 is configured to correct the physiological parameter value obtaining scheme to a high accuracy, the physiological parameter trend in the second set time period lacks the physiological parameter trend in a partial time period, the physiological parameter trend in the second set time period is consistent with the historical behavior state of the user, and the physiological parameter value in the partial time period lacks is supplemented according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
In yet another possible implementation, the apparatus 1100 further comprises (indicated by dashed lines in the figure): a first determining unit 117, configured to determine a probability that a difference between the physiological parameter value and the gold mark in the first set time period is smaller than a set value; and a second determining unit 118, configured to determine, according to the probability, an out-value reliability of the physiological parameter value in the first set time period.
In yet another possible implementation, the apparatus 1100 further comprises (indicated by dashed lines in the figure): a second obtaining unit 119, configured to obtain the physiological parameter related value in the first set time period; the judging unit 120 is configured to judge whether the current physiological parameter detection scenario belongs to a candidate physiological parameter detection scenario according to the physiological parameter value and the physiological parameter correlation value within the first set time period; the second output unit 114 is configured to, if the current physiological parameter detection scenario belongs to the candidate physiological parameter detection scenario, not output the physiological parameter value within the first set time period; and the second output unit 114 is further configured to, if the current physiological parameter detection scenario does not belong to the candidate physiological parameter detection scenario, output the physiological parameter value within the first set time period according to the output value reliability of the physiological parameter value within the first set time period and the physiological parameter output value scheme selected by the user.
According to the physiological parameter detection device provided by the embodiment of the application, when the physiological parameter is detected, the physiological parameter output scheme is output for the user to select, and the deviation of each physiological parameter output scheme to the output precision and the reliability is different, so that the user can flexibly set the output precision and the reliability, and the flexibility of the physiological parameter output is improved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
According to another embodiment of the present disclosure, the units or modules in the physiological parameter detection device shown in fig. 11 may be respectively or entirely combined into one or several other units to form the physiological parameter detection device, or some unit(s) may be further split into multiple units with smaller functions to form the physiological parameter detection device, which may achieve the same operation without affecting the achievement of the technical effect of the embodiments of the present disclosure. The units are divided based on logic functions, and in practical application, the functions of one unit can be realized by a plurality of units, or the functions of a plurality of units can be realized by one unit. In other embodiments of the present disclosure, the physiological parameter detection device may also include other units, and in practical applications, these functions may also be implemented by assistance of other units, and may be implemented by cooperation of multiple units.
According to another embodiment of the present disclosure, the physiological parameter detection apparatus as shown in fig. 11 can be constructed by running a computer program (including program codes) capable of executing the steps involved in the corresponding method shown in the above-described method embodiments on a general-purpose computing device such as a computer including a Central Processing Unit (CPU), a random access storage medium (RAM), a read-only storage medium (ROM), and the like as processing elements and storage elements, and implementing the physiological parameter detection method of the embodiments of the present disclosure. The computer program may be recorded on a computer-readable recording medium, for example, and loaded and executed in the above-described computing apparatus via the computer-readable recording medium.
Based on the description of the method embodiment and the device embodiment, the embodiment of the present disclosure further provides a physiological parameter detection device. Referring to fig. 12, the apparatus includes at least a processor 1201, an input device 1202, an output device 1203, and a computer storage medium 1204. The processor 1201, the input device 1202, the output device 1203, and the computer storage medium 1204 within the apparatus may be connected by a bus or other means.
A computer storage medium 1204 may be stored in the memory of the apparatus, the computer storage medium 1204 being for storing a computer program comprising program instructions, the processor 1201 being for executing the program instructions stored by the computer storage medium 1204. The processor 1201 (or CPU) is a computing core and a control core of a device, and is adapted to implement one or more instructions, and in particular to load and execute the one or more instructions to implement a corresponding method flow or a corresponding function.
In one embodiment, the processor 1201 according to an embodiment of the present disclosure may be configured to load and execute the method steps in the embodiments shown in fig. 1, fig. 4, or fig. 8.
It is noted that one or more of the above units or units may be implemented in software, hardware or a combination of both. When any of the above units or units are implemented in software, which is present as computer program instructions and stored in a memory, a processor may be used to execute the program instructions and implement the above method procedures. The processor may be built in a system on chip (SoC) or ASIC, or may be a separate semiconductor chip. The processor may further include a necessary hardware accelerator such as a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or a logic circuit for implementing a dedicated logic operation, in addition to a core for executing software instructions to perform operations or processing.
When the above units or units are implemented in hardware, the hardware may be any one or any combination of a CPU, a microprocessor, a Digital Signal Processing (DSP) chip, a Micro Controller Unit (MCU), an artificial intelligence processor, an ASIC, an SoC, an FPGA, a PLD, a dedicated digital circuit, a hardware accelerator, or a non-integrated discrete device, which may run necessary software or is independent of software to perform the above method flow.
Optionally, an embodiment of the present application further provides a chip system, including: at least one processor coupled to the memory through the interface, and an interface, the at least one processor causing the system-on-chip to perform the method of any of the above method embodiments when the at least one processor executes the computer program or instructions in the memory. Optionally, the chip system may be formed by a chip, and may also include the chip and other discrete devices, which is not specifically limited in this embodiment of the present application.
It should be understood that in the description of the present application, "/" indicates a relationship where the objects associated before and after are "or", e.g., a/B may indicate a or B; wherein A and B can be singular or plural. Also, in the description of the present application, "a plurality" means two or more than two unless otherwise specified. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple. In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance. Also, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion for ease of understanding.
An embodiment of the present disclosure also provides a computer storage medium (memory), which is a memory device in an apparatus and is used to store programs and data. It will be appreciated that the computer storage media herein may comprise both built-in storage media within the device and, of course, extended storage media supported by the device. The computer storage medium provides a storage space that stores an operating system of the device. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), suitable for being loaded and executed by the processor 1201. The computer storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory; and optionally at least one computer storage medium located remotely from the processor.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a read-only memory (ROM), or a Random Access Memory (RAM), or a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape, a magnetic disk, or an optical medium, such as a Digital Versatile Disk (DVD), or a semiconductor medium, such as a Solid State Disk (SSD).

Claims (14)

1. A method of detecting a physiological parameter, the method comprising:
outputting a physiological parameter out-value scheme when a physiological parameter detection request is received, wherein the physiological parameter out-value scheme comprises at least one of the following: high value output rate, high accuracy rate and self-defined value output rate;
receiving the physiological parameter value-out scheme selected by a user;
detecting a physiological parameter value in a first set time period;
and outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
2. The method of claim 1, wherein the physiological parameter valuation scheme is a custom valuation rate, and wherein receiving the user selected physiological parameter valuation scheme comprises:
receiving the increasing or decreasing operation information of the user on the output rate, and determining the output rate corresponding to the last increasing or decreasing operation of the user on the output rate as the physiological parameter output scheme selected by the user; and/or
And receiving the scroll operation information of the user on the output rate scroll bar, and determining the output rate corresponding to the scroll bar after the user stops the scroll operation as the physiological parameter output scheme selected by the user.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring a physiological parameter trend in a second set time period according to the physiological parameter value in the second set time period, wherein the second set time period is greater than or equal to the first set time period;
and correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
4. The method according to claim 3, wherein the correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user comprises:
the physiological parameter value output scheme is a high value output rate, the physiological parameter trend in a part of time periods in the physiological parameter trend in the second set time period is inconsistent with the historical behavior state of the user, and the physiological parameter value in the part of time inconsistent with the historical behavior state of the user is deleted; or
The physiological parameter value output scheme is high in accuracy, the physiological parameter trend in the second set time period is lack of the physiological parameter trend in a part of time periods, the physiological parameter trend in the second set time period is consistent with the historical behavior state of the user, and the physiological parameter value in the lack of the part of time periods is supplemented according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
5. The method according to any one of claims 1 to 4, further comprising:
determining the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than a set value;
and determining the output value credibility of the physiological parameter values in the first set time period according to the probability.
6. The method of claim 5, further comprising:
acquiring a physiological parameter correlation value in the first set time period;
judging whether the current physiological parameter detection scene belongs to a candidate physiological parameter detection scene or not according to the physiological parameter value and the physiological parameter correlation value in the first set time period;
if the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene, not outputting the physiological parameter value in the first set time period;
and if the current physiological parameter detection scene does not belong to the candidate physiological parameter detection scene, outputting the physiological parameter value in the first set time period according to the output value reliability of the physiological parameter value in the first set time period and the physiological parameter output value scheme selected by the user.
7. A physiological parameter sensing device, the device comprising:
a first output unit, configured to output a physiological parameter out-value scheme when receiving a physiological parameter detection request, where the physiological parameter out-value scheme includes at least one of: high value output rate, high accuracy rate and self-defined value output rate;
the receiving unit is used for receiving the physiological parameter value-out scheme selected by the user;
the detection unit is used for detecting the physiological parameter value in a first set time period;
and the second output unit is used for outputting the physiological parameter value in the first set time period according to the physiological parameter value output scheme selected by the user.
8. The apparatus of claim 7, wherein the physiological parameter valuation scheme is a custom valuation rate;
the receiving unit is used for receiving the increasing or decreasing operation information of the user on the output rate, and determining the output rate corresponding to the last increasing or decreasing operation of the user on the output rate as the physiological parameter output scheme selected by the user; and/or
The receiving unit is used for receiving the scroll operation information of the user on the output rate scroll bar and determining that the output rate corresponding to the scroll bar after the user stops the scroll operation is the physiological parameter output scheme selected by the user.
9. The apparatus of claim 7 or 8, further comprising:
the first acquisition unit is used for acquiring the physiological parameter trend in a second set time period according to the physiological parameter value in the second set time period, wherein the second set time period is greater than or equal to the first set time period;
and the correction unit is used for correcting the physiological parameter value in the second set time period according to the physiological parameter trend in the second set time period and the historical behavior state of the user.
10. The device according to claim 9, wherein the modification unit is configured to use the physiological parameter output scheme as a high output rate, wherein the physiological parameter trend in the second set time period is inconsistent with the historical behavior state of the user in a part of the physiological parameter trend in the second set time period, and delete the physiological parameter value in the part of the physiological parameter trend inconsistent with the historical behavior state of the user; or
The correction unit is used for enabling the physiological parameter value output scheme to be high in accuracy, enabling physiological parameter trends in a part of time periods to be lacked in the physiological parameter trends in the second set time period, enabling the physiological parameter trends in the second set time period to be consistent with the historical behavior state of the user, and supplementing the physiological parameter values in the lacked part of time periods according to the physiological parameter trends in the second set time period and the historical behavior state of the user.
11. The apparatus according to any one of claims 7 to 10, further comprising:
the first determination unit is used for determining the probability that the difference value between the physiological parameter value and the gold mark in the first set time period is smaller than a set value;
and the second determining unit is used for determining the output value credibility of the physiological parameter value in the first set time period according to the probability.
12. The apparatus of claim 11, further comprising:
the second acquisition unit is used for acquiring the physiological parameter correlation value in the first set time period;
the judging unit is used for judging whether the current physiological parameter detection scene belongs to a candidate physiological parameter detection scene or not according to the physiological parameter value and the physiological parameter correlation value in the first set time period;
the second output unit is used for not outputting the physiological parameter value in the first set time period if the current physiological parameter detection scene belongs to the candidate physiological parameter detection scene;
the second output unit is further configured to, if the current physiological parameter detection scenario does not belong to the candidate physiological parameter detection scenario, output the physiological parameter value within the first set time period according to the output value reliability of the physiological parameter value within the first set time period and the physiological parameter output value scheme selected by the user.
13. A physiological parameter detection device is characterized by comprising an input device and an output device, and further comprising:
a processor adapted to implement one or more instructions; and the number of the first and second groups,
a computer storage medium having stored thereon one or more instructions adapted to be loaded by the processor and to perform the method of any of claims 1-6.
14. A computer storage medium having stored thereon one or more instructions adapted to be loaded by a processor and to perform the method of any of claims 1-6.
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