CN114098794A

CN114098794A - Method and device for detecting human health condition

Info

Publication number: CN114098794A
Application number: CN202010889077.4A
Authority: CN
Inventors: 许培达; 李宏宝
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-08-28
Filing date: 2020-08-28
Publication date: 2022-03-01
Also published as: WO2022042167A1

Abstract

The application provides a method and a device for detecting human health conditions, relates to the field of data processing, can improve the detection accuracy of the human health conditions, and can be applied to a system for detecting the human health conditions. The method comprises the following steps: the method includes acquiring physiological information of a user and audio information related to the user, wherein the physiological information and the audio information are acquired based on a state of the user at the same time. If the physiological information is determined to have validity based on the audio information, detecting the health condition of the user based on the validity physiological information under the condition that the time length for acquiring the validity physiological information is greater than or equal to a first preset time length. The effectiveness of the physiological information is determined through the audio information which is synchronous with the physiological information in time, and the time for obtaining the effective physiological information meets the minimum time, so that the physiological information for detection better meets the standard required by detection, and the accuracy and the success rate of the detection of the human health condition of the user are improved.

Description

Method and device for detecting human health condition

Technical Field

The present application relates to the field of data processing, and in particular, to a method and an apparatus for detecting a health condition of a human body.

Background

Arrhythmia refers to various symptoms caused by abnormality of the cardiac electrical conduction system, and is a general term for the manifestation of irregular, too fast or too slow heart beat. Arrhythmias are the most common cardiovascular disease, of numerous types, with varying health effects. Common cardiac arrhythmias include: atrial fibrillation (atrial fibrillation) and premature beats (premature beats). Severe arrhythmias can lead to syncope, dyspnea, and even increased risk of stroke or heart failure complications, leading to shock or sudden death.

At present, arrhythmia detection is carried out by adopting wearable equipment in one of common modes, the portability of the wearable equipment is high, and heart health data can be tracked in real time. In the arrhythmia detection, the optical sensor of the wearable device collects pulse wave signals of a user within a period of time, and then the pulse wave signals are analyzed to perform risk assessment on the heart health conditions of the user, such as arrhythmia.

The technical scheme has the following problems: when the wearable device acquires the pulse wave signal of the user, if the user is in the moving or moving and post-moving recovery stages, the acquired pulse wave signal is affected, so that the signal quality is reduced, and the accuracy and the success rate of single arrhythmia detection are affected. Therefore, how to improve the detection accuracy of arrhythmia detection is an urgent technical problem to be solved.

Disclosure of Invention

The embodiment of the application provides a method and a device for detecting human health conditions, which can improve the detection accuracy of human health conditions (such as whether arrhythmia occurs).

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, a method for detecting a health condition of a human body is provided, the method comprising: physiological information of a user and audio information related to the user are obtained. Wherein the physiological information and the audio information are acquired based on a state of the user at the same time. If the physiological information is determined to have validity based on the audio information, detecting the health condition of the user based on the validity physiological information under the condition that the time length for acquiring the validity physiological information is greater than or equal to a first preset time length.

Under the condition, the physiological information and the audio information of the user in the same time state are acquired, so that the physiological information and the audio information are synchronized in time, the validity of the physiological information is determined through the audio information acquired in the same time state, and the time length for acquiring the valid physiological information is greater than or equal to a first preset time length, so that the detected physiological information is more in line with the standard required by detection before being used for detection, and the accuracy and the success rate of the detection of the human health condition of the user are improved.

In one possible design, the detection method further includes: if the physiological information is determined to have validity based on the audio information, the acquisition of the physiological information of the user is stopped under the condition that the time length for acquiring the valid physiological information is greater than or equal to a first preset time length. Or if the physiological information is determined to have non-validity based on the audio information, stopping acquiring the physiological information of the user under the condition that the time length for acquiring the non-validity physiological information is greater than a second preset time length.

In this case, after the validity of the physiological information is determined, by determining that the time for acquiring the valid physiological information is greater than or equal to a first preset time, that is, determining that the accumulated time for acquiring the valid physiological information meets the minimum time required for detection, the acquisition of the physiological information is stopped in this case, which not only meets the standards of the physiological information required for improving the detection accuracy and the success rate, but also reduces the time for acquiring the physiological information and the total detection time. After the physiological information is determined to have non-validity, the time for acquiring the non-validity physiological information is determined to be longer than a second preset time, namely the accumulative time for acquiring the non-validity physiological information is too long, so that the accumulative time for acquiring the validity physiological information cannot meet the minimum standard required by detection, the physiological information is stopped being acquired under the condition, the time waste for acquiring the physiological information again is avoided, and the time for acquiring the physiological information is reduced.

In one possible design, the audio information associated with the user includes: transmitting ultrasonic signals to the chest cavity of the user and receiving ultrasonic signals returned by the chest cavity of the user; and/or a human voice signal emitted by the user.

In this case, by transmitting an ultrasonic signal to the chest of the user and receiving a returned ultrasonic signal, the ultrasonic signal is advantageous for acquiring the breathing condition and the movement condition of the user; the voice signal sent by the user is acquired, so that the condition of the speech of the user is acquired. Determining the validity of the acquired physiological information of the user from multiple perspectives is achieved.

In one possible design, the detection method further includes: in the case where the audio information related to the user includes an ultrasonic signal, the current state of the user is determined based on the ultrasonic signal. And if the current state is a normal breathing state and/or a static state in the first preset state, determining that the physiological information is valid.

In this case, the respiration state and the movement state of the user are analyzed by the ultrasonic signal in the audio information, and a specific index for judging the validity of the physiological information is determined. Whether the breathing state or the moving state meets the corresponding first preset state or not is determined, so that the validity of the physiological information is determined, the detection success rate is improved, and meanwhile, the reasons of detection abnormity can be traced, classified and positioned.

In one possible design, the detection method further includes: in the case where the audio information associated with the user includes a vocal signal, the current state of the user is determined based on the vocal signal. And if the current state is a quiet state in the first preset state, determining that the physiological information has validity.

Under the condition, the speaking state of the user is analyzed through the voice signals in the audio information, the effectiveness of the physiological information is determined by taking the speaking state as an index, the success rate of detection is favorably improved, and whether the speaking state is one of the reasons causing abnormal detection or not can be traced.

In one possible design, after determining the current state of the user based on the ultrasonic signal, the detection method further includes: and outputting first information, wherein the first information is used for prompting the current state of the user.

In this case, after the current state of the user is determined, the first information is output to prompt the current state of the user in real time, so that the user can know the current state of the user in the process of acquiring the physiological information and the audio information conveniently, and the current state is adjusted, so that the acquired physiological information has effectiveness as much as possible.

In one possible design, the first information includes: one or more of a user's respiratory wave signal, a user's body movement signal, and a user's vocal signal. The respiratory wave signal is obtained based on the ultrasonic wave signal, and the body movement signal is obtained based on the ultrasonic wave signal.

Under the condition, the respiratory wave signal is generated through the ultrasonic signal, so that the user can know the breathing state of the user in real time conveniently, and the breathing state can be adjusted in real time to obtain effective physiological information; the body movement signal is generated through the ultrasonic signal, so that the user can know the body movement information of the user in real time conveniently, and the user is reminded to keep still to obtain effective physiological information.

In one possible design, after stopping acquiring the physiological information when the duration of acquiring the non-valid physiological information is longer than a second preset duration, the detection method further includes: and outputting second information based on the current state not meeting the state in the first preset state, wherein the second information is used for prompting a user to adjust the current state.

In this case, the second information is generated based on the state in which the current state does not satisfy the first preset state, so that the user can be prompted of the reason for failure in acquiring the physiological information in the process of acquiring the physiological information this time, the user can pay attention to the related problems prompted by the second information in the process of acquiring the physiological information next time, and the success rate of acquiring the physiological information next time is improved.

The "acquisition failure" in the embodiment of the present application may be understood as: in the process of acquiring the physiological information, the time for acquiring the non-effective physiological information by the user is longer than a second preset time, and the acquisition is considered to be failed.

In one possible design, before acquiring the physiological information of the user, the detection method further includes: outputting third information, wherein the third information is used for prompting a user to keep a second preset state; the second preset state includes: a normal breathing state, a resting state, or a resting state.

In this case, the user is prompted to keep the second preset state by outputting the third information, and the second preset state is a state in which the validity of the physiological information is improved, so that the user is prompted to keep the second preset state, which is favorable for improving the success rate of obtaining the valid physiological information.

In a second aspect, a device for detecting health condition of a human body is provided.

In a possible design, the human health condition detection apparatus is used to perform the human health condition detection method provided in the first aspect. The present application may divide the functional modules of the human health status detection apparatus according to the method provided by the first aspect. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. For example, the detection device for the human health condition may be divided into an information acquisition module, an effectiveness determination module, a detection module and the like according to functions. The above description of possible technical solutions and beneficial effects executed by each divided functional module may refer to the technical solutions provided by the first aspect or the corresponding possible designs thereof, and will not be described herein again.

In another possible design, the human health condition detection device includes: a memory and one or more processors, the memory and processors coupled. The memory is for storing computer instructions, and the processor is for invoking the computer instructions to perform any of the methods as provided by the first aspect and any of its possible designs.

In a third aspect, the present application provides a computer-readable storage medium, such as a computer non-transitory readable storage medium. A computer program (or instructions) stored thereon, which, when run on a human health condition detection apparatus, causes the human health condition detection apparatus to perform any of the methods provided by any of the possible implementations of the first aspect.

In a fourth aspect, the present application provides a computer program product enabling any of the methods provided in any of the possible implementations of the first aspect to be performed when the computer program product runs on a computer.

In a fifth aspect, the present application provides a chip system, comprising: and the processor is used for calling and running the computer program stored in the memory from the memory and executing any one of the methods provided by the implementation mode in the first aspect.

In a sixth aspect, the present application provides a system for detecting a health condition of a human body, comprising: a first terminal and a second terminal. The first terminal is used for acquiring physiological information, and the second terminal is used for determining the validity of the physiological information acquired by the first terminal and detecting the health condition of a human body. Alternatively, the human health condition detection system comprises a third terminal, and the third terminal is used for executing any one of the methods provided by the implementation manners in the first aspect.

It is understood that any one of the above-mentioned human health condition detection devices, computer storage media, computer program products, or human health condition detection systems may be applied to the above-mentioned corresponding methods, and therefore, the beneficial effects achieved by the methods may refer to the beneficial effects in the corresponding methods, and are not described herein again.

In the present application, the names of the above-mentioned human health condition detection apparatuses do not limit the devices or functional modules themselves, and in actual implementation, the devices or functional modules may appear by other names. Insofar as the functions of the respective devices or functional modules are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalents.

These and other aspects of the present application will be more readily apparent from the following description.

Drawings

Fig. 1 is a schematic diagram of an architecture of a human health status detection system according to an embodiment of the present disclosure;

fig. 2 is a second schematic view of an architecture of a human health status detection system according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application;

fig. 4 is a schematic flow chart of a method for detecting a health condition of a human body according to an embodiment of the present application;

fig. 5 is a second schematic flowchart of a method for detecting a health condition of a human body according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a human health status detection apparatus according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a chip system according to an embodiment of the present disclosure;

fig. 8 is a conceptual partial view of a computer program product provided by embodiments of the present application.

Detailed Description

The technical solution in the present application will be described below with reference to the accompanying drawings.

1) Cardiac arrhythmia

Arrhythmia refers to various symptoms caused by abnormal cardiac electrical conduction system, including irregular heartbeat, too fast heartbeat, or too slow heartbeat. Arrhythmia, the most common cardiovascular disease, is of various types, has inconsistent health effects, can cause syncope and dyspnea in severe cases, and even increases the risk of complications such as stroke or heart failure, and causes shock or sudden death.

2) Atrial fibrillation

Atrial fibrillation, abbreviated as atrial fibrillation, is one of the most common cardiac arrhythmias. When atrial fibrillation occurs, some people feel palpitation, shortness of breath, decreased endurance, discomfort in the front of the heart, and the like. Some people do not have any discomfort when atrial fibrillation occurs. Atrial fibrillation increases the risk of stroke and cardiovascular diseases such as arterial embolism in the limbs and heart failure.

3) Premature beat

Premature beats, referred to as premature beats, are one type of ectopic rhythm and refer to premature activation at a point of origin outside the sinoatrial node. Premature beat may be caused without symptoms, or with palpitation or pause of heartbeat. Premature beat is one of the most common arrhythmia, which can occur on the basis of various heart diseases and also in normal people. Frequent premature beat reduces the cardiac output and may cause weakness, dizziness and chest distress. This disease can induce ventricular tachycardia, ventricular fibrillation and, in severe cases, sudden cardiac death.

4) Other terms

In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. 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 concepts related in a concrete fashion.

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

In the description of the present application, "a plurality" means two or more unless otherwise specified. The term "at least one" in this application means one or more.

It is to be understood that the terminology used in the description of the various described examples herein is for the purpose of describing particular examples only and is not intended to be limiting. As used in the description of the various described examples and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. The term "and/or" is an associative relationship that describes an associated object, meaning that three relationships may exist, e.g., A and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present application generally indicates that the former and latter related objects are in an "or" relationship.

It should also be understood that, in the embodiments of the present application, the size of the serial number of each process does not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

It should be understood that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.

It will be further understood that the terms "comprises," "comprising," "includes," and/or "including," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also understood that the term "if" may be interpreted to mean "when" ("where" or "upon") or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined." or "if [ a stated condition or event ] is detected" may be interpreted to mean "upon determining.. or" in response to determining. "or" upon detecting [ a stated condition or event ] or "in response to detecting [ a stated condition or event ]" depending on the context.

It should be appreciated that reference throughout this specification to "one embodiment," "an embodiment," "one possible implementation" means that a particular feature, structure, or characteristic described in connection with the embodiment or implementation is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" or "one possible implementation" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Referring to fig. 1, fig. 1 is a schematic diagram of an architecture of a human health status detection system according to an embodiment of the present disclosure. As shown in fig. 1, the human health condition detection system includes a first terminal 11 and a second terminal 12.

As shown in fig. 1, a first terminal 11 is configured to collect physiological information of a user, where the physiological information is used to detect a health condition of a human body. The collected physiological information is then transmitted to the second terminal 12. Physiological information includes, but is not limited to: pulse wave information, brain wave information, electrocardiogram information or respiration information.

The first terminal 11 in this embodiment may include one or more of a smart watch, a smart bracelet, a smart phone, an optical sensor, a pulse wave sensor, a heart rate sensor, and an acceleration sensor, which have a physiological information acquisition function.

The second terminal 12 is configured to receive the physiological information of the user sent by the first terminal 11, acquire audio information related to the user, and determine validity of the acquired physiological information of the user through the audio information, where if the physiological information has validity, after a duration of acquiring the valid physiological information meets a shortest duration required for detection, the health condition of the user is detected based on the physiological information with validity.

The second terminal 12 in this embodiment may be a smart watch, a smart bracelet, or a smart phone, for example, the second terminal 12 may be a smart phone installed with an arrhythmia detection APP.

It should be noted that, in the present embodiment, the first terminal 11 may acquire the physiological information of the user and the second terminal 12 may acquire the audio information related to the user at the same time, so that the physiological information and the audio information are acquired at the same time of the user. The way for the first terminal 11 and the second terminal 12 to synchronously acquire information may be: the first terminal 11 and the second terminal 12 are paired, and the first terminal 11 acquires the physiological information of the user and controls the second terminal 12 to acquire the audio information related to the user. Or the second terminal 12 acquires the audio information related to the user and controls the first terminal 11 to acquire the physiological information of the user. The first terminal 11 and the second terminal 12 may adopt bluetooth pairing or network pairing, and the embodiment of the present application does not limit a specific pairing manner thereof.

In addition, it should be noted that the meaning of "audio information related to the user" in the embodiment of the present application is: the information contained in the audio information may be used to determine the validity of the physiological information. The validity of the physiological information means that a result of the health condition corresponding to the actual condition of the user can be detected from the physiological information. For example: the physiological information is pulse wave information of the user, and the audio information related to the user may be: the audio information comprises respiratory wave signals, body movement signals or voice signals of a user, and the audio information can judge whether the pulse wave signals are periodic or not, and whether the intervals of wave crests or wave troughs of the pulse waves accord with the normal heartbeat range of the user or not, so that the audio information is called as audio information related to the user; the pulse wave signal is periodic, and the interval of the wave crest or the wave trough of the pulse wave accords with the normal heartbeat range of a person, so that the physiological information is judged to have effectiveness. The embodiments of the present application merely illustrate the above concepts for understanding, and do not limit the above concepts to the examples.

Referring to fig. 2, fig. 2 is a second schematic view of an architecture of a human health status detection system according to an embodiment of the present application. As shown in fig. 2, the human health condition detection system includes a third terminal 13.

The third terminal 13 is configured to obtain physiological information of the user, obtain audio information related to the user while obtaining the physiological information of the user, and determine validity of the obtained physiological information of the user through the audio information, where if the physiological information has validity, the health condition of the user is detected after a duration of obtaining the valid physiological information satisfies a minimum duration required for detection.

The third terminal 13 in this embodiment may be a smart watch, a smart bracelet, or a smart phone, etc. having a physiological information acquisition function and installed with a health condition detection function APP.

Referring to fig. 3, fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device 30 may be the first terminal 11 or the second terminal 12 in fig. 1, or may be the third terminal 13 in fig. 2.

As shown in fig. 3, terminal device 30 may include a processor 31, a memory 32, a communication interface 33, and a bus 34. The processor 31, the memory 32, and the communication interface 33 may be connected by a bus 34.

The processor 31 is a control center of the terminal device 30, and may be a Central Processing Unit (CPU) or other general-purpose processor. The general purpose processor may be a microprocessor or any conventional processor.

As an example, the processor 31 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 3.

The memory 32 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In one possible implementation, the memory 32 may exist independently of the processor 31. Memory 32 may be coupled to processor 31 via bus 34 for storing data, instructions or program code. The prediction method provided by the embodiment of the present application can be implemented when the processor 31 calls and executes the instructions or program codes stored in the memory 32.

In another possible implementation, the memory 32 may also be integrated with the processor 31.

A communication interface 33, configured to connect the terminal device 30 and another device (e.g., a server, etc.) through a communication network, where the communication network may be an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc. The communication interface 33 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.

The bus 34 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.

It is noted that the structure shown in fig. 3 does not constitute a limitation of the terminal device 30, and that the terminal device 30 may include more or less components than those shown in fig. 3, or combine some components, or a different arrangement of components, in addition to the components shown in fig. 3.

The embodiment of the application provides a method and a device for detecting human health conditions, and the method can be applied to a first terminal 11 or a second terminal 12 shown in fig. 1 or a third terminal 13 shown in fig. 2. Specifically, the method may be applied to the terminal device 30 shown in fig. 3, and when the method is applied to the terminal device 30 shown in fig. 3, the processor 31 may execute the program instructions in the memory 32 to implement the method for detecting the health condition of the human body according to the embodiment of the present application. By executing the detection method of the human health condition provided by the embodiment of the application, the human health condition of the user can be more accurately predicted.

The following describes a method for detecting a health condition of a human body according to an embodiment of the present application with reference to the drawings.

Example one

The method for detecting the human health condition adopted in the present embodiment may be a detection system applied to the human health condition shown in fig. 1. Referring to fig. 4, fig. 4 is a schematic flow chart illustrating a method for detecting a health condition of a human body according to an embodiment of the present application. The method may comprise the steps of:

s101, the first terminal 11 acquires physiological information of a user, and the second terminal 12 acquires audio information related to the user. The physiological information and the audio information are acquired in a state of the user at the same time.

The "physiological information and audio information are acquired in a state of the user at the same time" can be understood as: if the physiological information is that of the user at a certain time, the audio information is that associated with the user at that time. In one example, the first terminal 11 acquires physiological information of a user and the second terminal 12 acquires audio information related to the user.

As shown in fig. 1, physiological information of a user is acquired through a first terminal 11, and audio information related to the user is acquired through a second terminal 12.

Physiological information includes, but is not limited to: one or more of pulse wave information, brain wave information, electrocardiograph information, or respiratory information, which is not specifically limited in the embodiments of the present application.

The embodiment of the application uses the first terminal 11 as an intelligent watch with a function of acquiring physiological information, and uses the second terminal 12 as an example of a smart phone with a health condition detection function APP, the intelligent watch and the smart phone are paired through Bluetooth, the smart phone is set as a master control end, when the smart phone acquires audio information related to a user, the intelligent watch is controlled to acquire the physiological information of the user, and the physiological information and the audio information are acquired at the same time state of the user. The smart watch can also be set as a master control end, so that the smart watch can acquire the physiological information of the user and control the smart phone to acquire the audio information related to the user, and the physiological information and the audio information are acquired at the same time of the user.

Specifically, a user wears a smart watch, the smart watch comprises an optical sensor, a pulse sensor and the like for acquiring physiological information, and the smart watch acquires the physiological information of the user, such as pulse wave information, electrocardio information and the like. Then, the smart watch transmits all the acquired physiological information to the smart phone, and the transmission mode may be data line transmission, bluetooth transmission, network transmission or other transmission modes, and the specific transmission mode is not limited in this embodiment.

The user can place the smart phone on a horizontal desktop or horizontal support in front of the chest, so that the microphone and the speaker of the smart phone face the chest of the user, then the user sits still or stands still in front of the smart phone, and after a period of time is set, the smart phone starts to acquire audio information related to the user.

Optionally, the audio information related to the user includes: transmitting ultrasonic signals to the chest cavity of the user and receiving ultrasonic signals returned by the chest cavity of the user; and/or a human voice signal emitted by the user.

To "audio information related to a user, including: for example, the smart phone may collect audio information related to the user by the following method:

the speaker of the smart phone transmits ultrasonic signals to the chest of the user, the frequency of the ultrasonic signals can be 18KHz-30KHz, then the smart phone receives the ultrasonic signals returned from the chest of the user, and the microphone in the smart phone collects surrounding audio signals, wherein the audio signals comprise voice signals sent by the user.

S102, the second terminal 12 determines that the physiological information has effectiveness based on the audio information of the user.

After the second terminal 12 acquires the audio information related to the user, the current state of the user is determined according to the ultrasonic signal or the vocal signal in the audio information, and then the validity of the physiological information acquired by the first terminal 11 at the same time as the audio information acquired by the second terminal 12 is determined by determining whether the current state satisfies the first preset state. The first preset state may include a normal breathing state, a rest state, and a quiet state. The validity of the physiological information may specifically be determined in the following manner:

the first method is as follows: the smart phone demodulates and extracts a respiratory wave signal related to the user based on the ultrasonic signal in the acquired audio information, judges the respiratory state of the user according to the respiratory wave signal, and judges the effectiveness of the acquired physiological information based on the respiratory state of the user. If the user is in a conventional breathing state, determining that the acquired physiological information has validity; if the user is in an irregular breathing state, the acquired physiological information is determined to be of non-validity.

Specifically, the smartphone may determine the user's breathing frequency from the respiratory wave signal, determine whether the user is in a regular breathing state by setting a threshold range of breathing frequency, and determine whether the user is in a regular breathing state by observing changes in breathing frequency over a period of time. When a person breathes, the person can exhale and inhale, so that the thorax of the person can correspondingly fluctuate along with the breathing, the distance between the thorax of the person and the smart phone can be measured through ultrasonic waves, fluctuation of the thorax is determined through small change of the distance, and the breathing of the person can be determined. The breathing frequency of a person can be determined by measuring the fluctuation of the thoracic cavity for multiple times, and the breathing frequency in different time periods can be measured, so that the change of the breathing frequency in a period of time can be obtained. Since the amplitude of the fluctuation of the thorax is small, the distance variation obtained by ultrasonic measurement is also small, and the fluctuation of the thorax is generally between several millimeters. For example: the breathing frequency of a normal adult is 12-20 times per minute in a resting state, if the breathing frequency demodulated by the ultrasonic signal in the audio information is 15 times per minute, the user is determined to be in a conventional breathing state, and the physiological information acquired by the intelligent watch has effectiveness; if the respiratory frequency demodulated by the ultrasonic signals in the audio information is less than 12 times per minute or more than 20 times per minute, it is determined that the user is in an abnormal respiratory state, and the physiological information acquired by the smart watch is not effective.

Or, the smart phone may determine whether various unconventional breathing modes are satisfied through the breathing wave signal, such as a deep breathing mode, and if the characteristics of the breathing wave signal extracted by demodulation and related to the user satisfy the breathing wave signal corresponding to the deep breathing mode, it is determined that the user is in a deep breathing state, and the physiological information acquired by the smart watch is not valid. Whether the user is in a normal breathing state can also be determined through the change of the breathing frequency within a period of time, if the breathing frequency rapidly drops within a short time and the breathing is not uniform, the user can be determined to be in a recovery stage after the movement, the user is in the normal breathing state, and the physiological information acquired by the smart watch is not effective.

The second method comprises the following steps: the smart phone demodulates and extracts a body movement signal related to the user based on the ultrasonic signal in the obtained audio information, judges the body movement state of the user according to the body movement signal, and judges the effectiveness of the physiological information obtained by the smart watch based on the body movement state of the user. If the user is in a static state, determining that the physiological information acquired by the intelligent watch has validity; and if the user is in the motion state, determining that the physiological information acquired by the intelligent watch has non-validity.

Specifically, the smart phone can measure the linear distance between the user and the smart phone through ultrasonic signals sent and received by the smart phone, and judge whether the user moves according to the change condition of the distance. If the distance between the user and the smart phone is basically kept unchanged through ultrasonic measurement, namely the change size does not exceed the set minimum threshold value, the user is judged to be in a static state, and the fact that the physiological information obtained by the smart watch in the state is effective is determined. If the distance between the user and the smart phone measured through the ultrasonic waves is in a change state, and the change size exceeds the set minimum threshold value, the user is judged to be in a motion state, and it is determined that the physiological information obtained by the smart watch in the motion state is not effective.

The third method comprises the following steps: the smart phone judges whether a user makes a sound based on a sound signal of the frequency band, so as to determine whether the user is in a speaking state, judges the speaking state of the user according to the sound signal, and judges the effectiveness of physiological information acquired by the smart watch based on the speaking state of the user. If the user does not speak and is in a quiet state, the physiological information acquired by the intelligent watch is determined to be valid; if the user is speaking and is in a non-quiet state, the physiological information acquired by the intelligent watch is determined to be non-effective.

Whether the person is speaking or not is detected through the smart phone in the embodiment of the application in the prior art, for example, detection is performed through a sound detection sensor, which is not described herein any more, and a specific sound detection method is not limited in this embodiment.

The method is as follows: the smart phone demodulates and extracts the respiratory wave signals and the body movement signals related to the user based on the ultrasonic signals in the acquired audio information. The breathing state of the user is determined based on the respiratory wave signals of the user, and the body movement state of the user is determined based on the body movement signals of the user. And based on the obtained human voice signal, the speaking state of the user is determined. And meanwhile, whether the user is in a conventional breathing state, a static state and a quiet state is judged to determine the effectiveness of the physiological information acquired by the intelligent watch. If the current state of the user simultaneously meets the conventional breathing state, the static state and the quiet state, the validity of the physiological information acquired by the intelligent watch is determined; and if any one of the current states of the user does not satisfy the conventional breathing state, the static state or the quiet state, determining that the physiological information acquired by the smart watch has non-validity. The current state of the user is meant to include the user's breathing state, body movement state and speaking state.

In the embodiment of the application, the validity of the physiological information acquired by the smart watch can be determined by combining any two of the first mode, the second mode and the third mode, and the specific determination mode is as described above and is not described herein again.

Optionally, when the validity of the acquired physiological information is determined according to the ultrasonic signal or the human voice signal in the audio information, the first information may be output to prompt the user with real-time information of the user.

Based on the first information, the user can adjust the state of the user when the physiological information is acquired, so that the physiological information acquired by the first terminal 11 has validity as much as possible. The first information is generated based on the ultrasonic wave signal or the human voice signal in the audio information, and may include one or more of a respiratory wave signal, a body motion signal, and a human voice signal of the user.

Example one: the first information contains a respiratory wave signal of the user, the respiratory wave signal being generated based on the ultrasound signal in the audio information. The specific form of the respiratory wave signal can be a respiratory wave waveform diagram of the user in the current state, and generally, the respiratory wave waveform diagram of a normal adult in the rest state is a periodic sinusoidal image. If the user cannot understand the relatively professional respiratory wave oscillogram, the respiratory wave signal can also be the specific respiratory frequency value output, for example, the first output information is 15 times/min, and the user can understand the current state of the user only by knowing that the respiratory frequency of the normal adult in the resting state is 12 times/min-20 times/min. If the output value is within the range, the user can keep the state, if the output value is not within the range, the user can rest for a period of time, and detection is carried out after the breathing is calm.

Example two: the first information may contain a body motion signal of the user, the body motion signal being generated based on the ultrasonic signal in the audio information. The body movement signal can be represented by a curve of which the distance between the user and the smart phone changes along with time, and if the fluctuation range of the curve is always within the minimum threshold interval, the user is represented to be in a static state so as to prompt the user to keep the gesture continuously; if the fluctuation range of the curve exceeds the minimum threshold interval, the user is in a moving state, so that the user is prompted to stop moving and keep still. The body movement signal can also be output in other forms, such as directly outputting the distance between the user and the smart phone, and the user adjusts or maintains the current posture by knowing the distance between the user and the smart phone.

Example three: the first information may comprise a human voice signal, i.e. a human voice signal comprised in the audio information. The voice signal can be represented by outputting a decibel value of the voice acquired by the smart phone, for example, 0-15 decibels are defined as a quiet state, and more than 15 decibels are defined as a non-quiet state. And the user keeps the user in a quiet state by acquiring the decibel value in the first information.

The first example, the second example and the third example can be combined arbitrarily to generate the first information, the manner is only to illustrate an output form of the first information, and the specific form of the first information is not limited, and the first information may also be presentation information generated simultaneously according to an ultrasonic signal and a human voice signal in the audio information.

S103, the second terminal 12 detects the health condition of the user based on the effective physiological information under the condition that the time for acquiring the effective physiological information is determined to be greater than or equal to a first preset time.

Before the second terminal 12 detects the health condition of the user, it is further determined that the duration of obtaining the valid physiological information is greater than or equal to a first preset duration.

In one example, the smartphone may confirm that the duration of time for obtaining the valid physiological information is greater than or equal to a first preset duration. After the smart phone determines that the physiological information acquired by the smart watch is valid, the smart watch sends the physiological information to the smart phone, and the smart phone confirms whether the acquisition duration of the received physiological information is greater than or equal to a first preset duration.

The smart watch sends the physiological information to the smart phone, and the smart watch can send the physiological information to the smart phone after obtaining the physiological information, and the smart phone simultaneously obtains audio information related to the user to determine whether the validity of the received physiological information and the time for obtaining the valid physiological information meet a first preset time. Or after determining that the physiological information acquired by the smart watch has validity, and under the condition that the time for acquiring the valid physiological information is greater than or equal to a first preset time, the smart watch sends the acquired physiological information to the smart phone.

After confirming that the obtained physiological information of the smart phone is valid and the obtaining time of the valid physiological information is greater than or equal to a first preset time, the smart phone inputs the obtained physiological information into an APP with a health condition detection function, and then obtains a health condition detection result of a user, wherein the APP with the health condition detection function is the prior art, and the working process and the working principle of the APP are not described in detail herein.

Optionally, the second terminal 12 stops acquiring the physiological information of the user when it is determined that the physiological information acquired by the first terminal 11 has validity and the time length for acquiring the valid physiological information is greater than or equal to a first preset time length. Or, the second terminal 12 stops acquiring the physiological information of the user when it is determined that the physiological information acquired by the first terminal 11 has non-validity and the time length for acquiring the non-validity physiological information is greater than a second preset time length.

When the human health condition is detected, the physiological information required by detection is certain, namely, only effective physiological information in a certain time period needs to be acquired, and an accurate result can be obtained. Therefore, the shortest time length of the effective physiological information which can obtain an accurate result can be defined as the first preset time length. When acquiring the physiological information, the physiological information is not generally acquired in an infinite time period, but the physiological information within a period of time is acquired, the period of time is referred to as a preset time period, and a difference value between the duration of the preset time period and the first preset time period is defined as a second preset time period.

When physiological information is acquired within a preset time period, the acquired physiological information generally includes both valid physiological information and non-valid physiological information. If more effective physiological information is obtained, when the obtaining duration of the effective physiological information is greater than or equal to a first preset duration, it is proved that the obtained effective physiological information can meet the minimum detection requirement of the health condition of the human body, and at this moment, the obtaining of the physiological information is stopped, which can be called as the success of obtaining the physiological information.

If the acquired physiological information has more non-effective physiological information, after the acquisition duration of the non-effective physiological information exceeds a second preset duration, that is, after the acquisition duration of the non-effective physiological information exceeds the second preset duration, it indicates that the duration of the acquired effective physiological information cannot meet the requirement that the duration of the acquired effective physiological information is greater than or equal to the first preset duration within a preset time period, and therefore, the acquisition of the physiological information is also stopped in this case, which may be referred to as failure in acquiring the physiological information.

For example: the duration of the preset time period for acquiring the physiological information each time is set to be 45s, the minimum effective duration for acquiring the effective physiological information is set to be 25s, and then the second preset duration is set to be 20 s. When the accumulated time for acquiring the effective physiological information reaches 25s, the acquisition of the physiological information can be stopped; or, when the cumulative duration of acquiring the non-effective physiological information exceeds 20s, that is, within a preset time period of 45s, the cumulative duration of the acquired effective physiological information cannot reach 25s, and cannot meet the minimum standard required by the detection of the health condition of the human body, so that the acquisition of the physiological information is stopped.

Optionally, in a case that a duration of acquiring the non-valid physiological information is longer than a second preset duration, after the acquisition of the physiological information is stopped, the second prompt information is output.

The second prompt information is obtained based on that the current state when the non-effective physiological information is acquired does not satisfy the state in the first preset state, and the second information is used for prompting the user to adjust the state of the user so that the first terminal 11 can satisfy the minimum standard required by detection when acquiring the physiological information next time.

The description will be given taking, as an example, the acquired physiological information as the valid physiological information in a case where the state at the time of acquiring the physiological information satisfies the first preset state as the normal breathing state, the rest state, and the quiet state at the same time. When the current state obtained according to the ultrasonic wave signal and the human voice signal in the audio information does not satisfy any one of the states, the physiological information acquired in the state is invalid.

Example one: the state at a certain moment obtained according to the audio analysis is as follows: an irregular breathing state, a resting state, and a resting state, the physiological information acquired in the state at that moment has no validity. The state in which the current state when the non-effective physiological information is acquired at the moment does not satisfy the first preset state is: and in the normal breathing state, the second information is generated based on the normal breathing state to prompt that the reason why the user fails to acquire the physiological information within the preset time period is that the normal breathing state is not maintained, so that the user can maintain the normal breathing state as much as possible in the process of acquiring the physiological information next time so as to acquire the physiological information successfully.

Example two: the state at a certain moment obtained according to the audio analysis is as follows: an irregular breathing state, a motion state, and a rest state, the physiological information acquired in the state at that time has no validity. The state in which the current state when the non-effective physiological information is acquired at the moment does not satisfy the first preset state is: and in the static state, the second information is generated based on the static state to prompt that the reason why the user fails to acquire the physiological information within the preset time period is that the static state is not maintained, so that the user is kept static as much as possible in the next process of acquiring the physiological information so as to acquire the physiological information successfully.

The state that the current state does not satisfy the first preset state when the non-effective physiological information is acquired can be one or more, and if the current state does not satisfy any one of the normal breathing state, the resting state and the resting state, the second information is generated based on the three states so as to prompt that the normal breathing, the resting state and the resting state are kept as much as possible in the process of acquiring the physiological information next time.

Alternatively, the third information may be output on the first terminal 11 or the second terminal 12 before the first terminal 11 acquires the physiological information of the user.

The third information is used for prompting the user to maintain a second preset state, and the second preset state may include: a normal breathing state, a resting state, or a quiet state, with the goal of increasing the success rate of obtaining physiological information that meets the minimum detection requirement criteria within a preset time period.

Specifically, the content of the third information may be: please keep breathing regularly, still and quiet. The third information may be displayed on the display screen of the first terminal 11 or the second terminal 12 in a text form, or may be output and prompted in a voice form. The present embodiment does not limit the specific form of the third information.

Example two:

the method for detecting the human health condition adopted in the present embodiment may be a detection system applied to the human health condition shown in fig. 2. In the embodiment of the present application, the third terminal 13 is a smart watch, a smart bracelet, or a smart phone having a health condition detection function APP for having a function of acquiring physiological information.

Referring to fig. 5, fig. 5 is a second flowchart illustrating a method for detecting a health condition of a human body according to an embodiment of the present application. The method may comprise the steps of:

s201, the third terminal 13 acquires the physiological information of the user and the audio information related to the user.

S202, the third terminal 13 determines that the physiological information has effectiveness based on the audio information of the user.

S203, the third terminal 13 detects the health condition of the user based on the effective physiological information under the condition that the time for acquiring the effective physiological information is determined to be greater than or equal to a first preset time.

The function and effect of the third terminal 13 in this embodiment are equivalent to the combination of the function and effect of the first terminal 11 and the function and effect of the second terminal 12 in the first embodiment, and the description of the technical solutions and beneficial effects of the steps in this embodiment can refer to the description of the corresponding steps in the first embodiment, which is not described herein again.

The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the functional modules of the detection apparatus for detecting the health condition of the human body may be divided according to the above method examples, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

As shown in fig. 6, fig. 6 is a schematic view of a human health status detection apparatus provided in an embodiment of the present application. The human health condition detection apparatus is used for executing the above-mentioned human health condition detection method, for example, executing the human health condition detection method shown in fig. 4. For example, the human health condition detection device may include: the device comprises an information acquisition module 1, an effectiveness determination module 2 and a detection module 3.

The information acquisition module 1 is used for acquiring physiological information of a user and audio information related to the user; wherein the physiological information and the audio information are acquired based on a state of the user at the same time. And the validity determining module 2 is used for determining that the physiological information has validity based on the audio information. The detection module 3 is configured to detect a health condition of the user based on the effective physiological information when the duration of obtaining the effective physiological information is greater than or equal to a first preset duration.

Referring to fig. 4, the information obtaining module 1 may perform S101, the validity determining module 2 may perform S102, and the detecting module 3 may perform S103.

Optionally, the human health condition detection apparatus further comprises:

and the information acquisition termination module is used for stopping acquiring the physiological information of the user under the condition that the time length for acquiring the effective physiological information is greater than or equal to a first preset time length if the physiological information is determined to have effectiveness based on the audio information. Or if the physiological information is determined to have non-validity based on the audio information, stopping acquiring the physiological information of the user under the condition that the time length for acquiring the non-validity physiological information is greater than a second preset time length.

Optionally, the information obtaining module 1 is specifically configured to:

transmitting ultrasonic signals to the chest cavity of the user and receiving ultrasonic signals returned by the chest cavity of the user; and/or acquiring a human voice signal sent by a user.

Optionally, the validity determining module 2 is specifically configured to:

determining a current state of the user based on the ultrasonic signal in a case where the audio information related to the user includes the ultrasonic signal;

and if the current state is a normal breathing state and/or a static state in the first preset state, determining that the physiological information is valid.

Optionally, the validity determining module 2 is specifically configured to:

determining a current state of the user based on the human voice signal in a case where the audio information related to the user includes the human voice signal;

and if the current state is a quiet state in the first preset state, determining that the physiological information has validity.

Optionally, the human health condition detection apparatus further comprises:

the first prompting module is used for outputting first information, and the first information is used for prompting the current state of a user.

Optionally, the first prompting module is specifically configured to prompt:

a respiratory wave signal of the user, wherein the respiratory wave signal is derived based on the ultrasonic signal; and/or a body movement signal of the user, wherein the body movement signal is derived based on the ultrasonic signal; and/or a human voice signal of the user.

Optionally, the human health condition detection apparatus further comprises:

and the second prompting module is used for outputting second information based on the condition that the current condition does not meet the condition in the first preset condition, and the second information is used for prompting a user to adjust the current condition.

Optionally, the human health condition detection apparatus further comprises:

the third prompting module is used for outputting third information, and the third information is used for prompting a user to keep a second preset state; the second preset state includes: a normal breathing state, a resting state, or a resting state.

For the detailed description of the above alternative modes, reference may be made to the foregoing method embodiments, which are not described herein again. In addition, for the explanation and the description of the beneficial effects of any one of the above-mentioned apparatuses for detecting human health conditions, reference may be made to the above-mentioned corresponding method embodiments, which are not repeated herein.

As an example, in conjunction with fig. 3, the functions implemented by part or all of the information acquisition module 1, the validity determination module 2, and the detection module 3 in the detection apparatus of the human health condition may be implemented by the processor in fig. 3 executing the program code in the memory in fig. 3.

The embodiment of the present application further provides a chip system, as shown in fig. 7, the chip system 100 includes at least one processor 110 and at least one interface circuit 120. By way of example, when the system-on-chip 100 includes one processor and one interface circuit, then the one processor may be the processor 110 shown in the solid line block in fig. 7 (or the processor 110 shown in the dashed line block), and the one interface circuit may be the interface circuit 120 shown in the solid line block in fig. 7 (or the interface circuit 120 shown in the dashed line block). When the system-on-chip 100 includes two processors and two interface circuits, then the two processors include the processor 110 shown in solid line block in fig. 7 and the processor 110 shown in dashed line block, and the two interface circuits include the interface circuit 120 shown in solid line block in fig. 7 and the interface circuit 120 shown in dashed line block. This is not limitative.

The processor 110 and the interface circuit 120 may be interconnected by wires. For example, the interface circuit 120 may be used to receive signals (e.g., from a vehicle speed sensor or an edge service unit). As another example, the interface circuit 120 may be used to send signals to other devices (e.g., the processor 110). Illustratively, the interface circuit 120 may read instructions stored in the memory and send the instructions to the processor 110. The instructions, when executed by the processor 110, may cause the human health condition detection apparatus to perform the steps of the above embodiments. Of course, the chip system may further include other discrete devices, which is not specifically limited in this embodiment of the present application.

Another embodiment of the present application further provides a computer-readable storage medium, which stores instructions that, when executed on a human health condition detection apparatus, perform the steps performed by the human health condition detection apparatus in the method flow shown in the above method embodiment.

In some embodiments, the disclosed methods may be implemented as computer program instructions encoded on a computer-readable storage medium in a machine-readable format or encoded on other non-transitory media or articles of manufacture.

Fig. 8 schematically illustrates a conceptual partial view of a computer program product comprising a computer program for executing a computer process on a computing device provided by an embodiment of the application.

In one embodiment, the computer program product is provided using a signal bearing medium 130. The signal bearing medium 130 may include one or more program instructions that, when executed by one or more processors, may provide the functions or portions of the functions described above with respect to fig. 4. Thus, for example, one or more features described with reference to S101-S103 in FIG. 4 may be undertaken by one or more instructions associated with the signal bearing medium 130. Further, the program instructions in FIG. 8 also describe example instructions.

In some examples, signal bearing medium 130 may comprise a computer readable medium 131 such as, but not limited to, a hard disk drive, a Compact Disc (CD), a Digital Video Disc (DVD), a digital tape, a memory, a read-only memory (ROM), a Random Access Memory (RAM), or the like.

In some embodiments, the signal bearing medium 130 may comprise a computer recordable medium 132 such as, but not limited to, memory, read/write (R/W) CD, R/W DVD, and the like.

In some implementations, the signal bearing medium 130 may include a communication medium 133, such as, but not limited to, a digital and/or analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link, etc.).

The signal bearing medium 130 may be communicated by a wireless form of communication medium 133, such as a wireless communication medium conforming to the IEEE 802.11 standard or other transmission protocol. The one or more program instructions may be, for example, computer-executable instructions or logic-implementing instructions.

In some examples, a human health condition detection apparatus, such as described with respect to fig. 8, may be configured to provide various operations, functions, or actions in response to one or more program instructions via computer-readable medium 131, computer-recordable medium 132, and/or communication medium 133.

It should be understood that the arrangements described herein are for illustrative purposes only. Thus, those skilled in the art will appreciate that other arrangements and other elements (e.g., machines, interfaces, functions, orders, and groupings of functions, etc.) can be used instead, and that some elements may be omitted altogether depending upon the desired results. In addition, many of the described elements are functional entities that may be implemented as discrete or distributed components or in conjunction with other components, in any suitable combination and location.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, 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 processes or functions according to the embodiments of the present application are generated in whole or in part when the computer-executable 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 a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

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

Claims

1. A method of detecting a health condition of a human, the method comprising:

acquiring physiological information of a user and audio information related to the user; wherein the physiological information and the audio information are obtained based on a state of the user at the same time;

and if the physiological information is determined to have validity based on the audio information, detecting the health condition of the user based on the validity physiological information under the condition that the time length for acquiring the validity physiological information is greater than or equal to a first preset time length.

2. The method of claim 1, further comprising:

if the physiological information is determined to have validity based on the audio information, stopping acquiring the physiological information of the user under the condition that the time length for acquiring the valid physiological information is greater than or equal to a first preset time length;

or if the physiological information is determined to have non-validity based on the audio information, stopping acquiring the physiological information of the user under the condition that the time length for acquiring the non-validity physiological information is greater than a second preset time length.

3. The method of claim 1 or 2, wherein the audio information associated with the user comprises:

transmitting ultrasonic signals to the user's chest and receiving the ultrasonic signals returned by the user's chest;

and/or a human voice signal emitted by the user.

4. The method of claim 3, further comprising:

determining a current state of the user based on the ultrasonic signal if the audio information related to the user includes the ultrasonic signal;

and if the current state is a normal breathing state and/or a static state in a first preset state, determining that the physiological information has validity.

5. The method of claim 3, further comprising:

determining a current state of the user based on the vocal signal if the audio information related to the user includes the vocal signal;

and if the current state is a quiet state in a first preset state, determining that the physiological information has validity.

6. The method of claim 4, wherein after said determining a current state of the user based on the ultrasound signals, the method further comprises:

outputting first information, wherein the first information is used for prompting the current state of the user.

7. The method of claim 6, wherein the first information comprises:

a respiratory wave signal of the user, wherein the respiratory wave signal is derived based on the ultrasound signal;

and/or a body movement signal of the user, wherein the body movement signal is obtained based on the ultrasonic signal;

and/or, a human voice signal of the user.

8. The method according to any one of claims 4 to 7, wherein after the stopping of the acquisition of the physiological information in the case that the duration of the acquisition of the non-valid physiological information is longer than a second preset duration, the method further comprises:

and outputting second information based on the fact that the current state does not meet the state in the first preset state, wherein the second information is used for prompting the user to adjust the current state.

9. The method of any one of claims 1 to 8, wherein prior to said obtaining physiological information of the user, the method further comprises:

outputting third information, wherein the third information is used for prompting the user to keep a second preset state; the second preset state comprises: a normal breathing state, a resting state, or a resting state.

10. An apparatus for detecting a health condition of a human, the apparatus comprising:

the information acquisition module is used for acquiring physiological information of a user and audio information related to the user; wherein the physiological information and the audio information are obtained based on a state of the user at the same time;

a validity determination module to determine that the physiological information has validity based on the audio information;

the detection module is used for detecting the health condition of the user based on the effective physiological information under the condition that the time length for acquiring the effective physiological information is greater than or equal to a first preset time length.

11. The apparatus of claim 10, further comprising:

the information acquisition termination module is used for stopping acquiring the physiological information of the user under the condition that the time length for acquiring the effective physiological information is greater than or equal to a first preset time length if the physiological information is determined to have effectiveness based on the audio information;

12. The apparatus according to claim 10 or 11, wherein the information obtaining module is specifically configured to:

transmitting an ultrasonic signal to the user's chest and receiving the ultrasonic signal returned by the user's chest;

and/or acquiring a human voice signal sent by the user.

13. The apparatus according to claim 12, wherein the validity determination module is specifically configured to:

14. The apparatus according to claim 12, wherein the validity determination module is specifically configured to:

15. The apparatus of claim 13, further comprising:

and the first prompting module is used for outputting first information, and the first information is used for prompting the current state of the user.

16. The apparatus of claim 15, wherein the first prompting module is specifically configured to prompt:

and/or, a human voice signal of the user.

17. The apparatus of any one of claims 13 to 16, further comprising:

and the second prompting module is used for outputting second information based on the condition that the current condition does not meet the condition in the first preset condition, wherein the second information is used for prompting the user to adjust the current condition.

18. The apparatus of any one of claims 10 to 17, further comprising:

the third prompting module is used for outputting third information, and the third information is used for prompting the user to keep a second preset state; the second preset state comprises: a normal breathing state, a resting state, or a resting state.

19. A device for detecting a health condition of a human, comprising: a memory for storing a computer program and a processor for invoking the computer program to perform the method of any of claims 1-9.

20. A computer-readable storage medium, in which a computer program is stored which, when run on a computer, causes the computer to carry out the method of any one of claims 1 to 9.