Sleep monitoring method and apparatus

Abstract

Embodiments of the present disclosure disclose a sleep monitoring method and device. A specific embodiment of the method comprises: receiving echo signals of a sleep period by a radar, wherein the radar is arranged in a surrounding environment of a human body in a sleep state; determining position information of a target human body region of the human body according to the echo signals; and determining motion state information of the target human body region according to the echo signals and the position information. The embodiment can meet the long-term sleep monitoring requirement in a home application scenario.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to the technical field of medical health, and in particular, to a sleep monitoring method and device. BACKGROUND

[0002] Sleep is an important part of body recovery, integration and memory consolidation, and sleep quality plays a crucial role in human health. Currently, many people have various sleep problems, which can have some impact on the body and mind and daily activities. With the gradual improvement of sleep awareness, sleep monitoring technology has also gradually received more and more attention, development and application.

[0003] Currently, traditional sleep monitoring mainly relies on various professional sleep monitoring instruments or sleep monitoring systems, and many of them are wearable monitoring devices, so they can interfere with the user's sleep while monitoring the user's sleep. In addition, these professional sleep monitoring instruments can usually only be used in professional monitoring institutions, cannot meet the needs of long-term home use, and are usually high in cost and difficult to wear. SUMMARY

[0004] Embodiments of the present disclosure provide a sleep monitoring method and device.

[0005] In a first aspect, embodiments of the present disclosure provide a sleep monitoring method, which includes: receiving, by a radar, echo signals of a sleep period, wherein the radar is arranged in a surrounding environment of a human body in a sleep state; determining, according to the echo signals, position information of a target human body region of the human body; and determining, according to the echo signals and the position information, motion state information of the target human body region.

[0006] In a second aspect, embodiments of the present disclosure provide a sleep monitoring device, which includes: a receiving unit configured to receive, by a radar, echo signals of a sleep period, wherein the radar is arranged in a surrounding environment of a human body in a sleep state; a first determining unit configured to determine, according to the echo signals, position information of a target human body region of the human body; and a second determining unit configured to determine, according to the echo signals and the position information of the target human body region, motion state information of the target human body region.

[0007] In a third aspect, embodiments of the present disclosure provide an electronic device, which includes: one or more processors; a storage device configured to store one or more programs; and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any of the implementations of the first aspect.

[0008] In a fourth aspect, embodiments of the present disclosure provide a computer readable medium having stored thereon a computer program, which, when executed by a processor, implements the method described in any of the implementations of the first aspect.

[0009] The sleep monitoring method and device provided by the embodiments of the present disclosure receives echo signals of a human body in a sleep period by a radar, determines position information of a target human body region according to the echo signals, and determines motion state information of the target human body region according to the echo signals and the position information. The radar is arranged in a surrounding environment of the human body in a sleep state, thereby meeting the long-term use requirement in a home application scenario, avoiding the interference of a wearable device on the sleep quality of the human body, and achieving convenient sleep monitoring. BRIEF DESCRIPTION OF DRAWINGS

[0010] Other features, objects, and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments made with reference to the attached drawings:

[0011] Figure 1 is an exemplary system architecture diagram to which an embodiment of the present disclosure can be applied;

[0012] Figure 2 is a flowchart of an embodiment of a sleep monitoring method according to the present disclosure;

[0013] Figure 3 is a flowchart of an embodiment of determining position information of a target human body region of a human body according to echo signals;

[0014] Figure 4 is a flowchart of an embodiment of determining motion state information of a target human body region according to echo signals and position information of the target human body region;

[0015] Figure 5 is a structural schematic diagram of an embodiment of a sleep monitoring device according to the present disclosure;

[0016] Figure 6 is a structural schematic diagram of an electronic device suitable for implementing an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] The present disclosure will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present disclosure, but not to limit the present disclosure. It should be noted that, for the purpose of description, only parts related to the present disclosure are shown in the drawings.

[0018] It should be noted that in the technical solutions of the present application, the collection / acquisition, updating, analysis, use, transmission, storage, etc. of user personal information are in line with the provisions of relevant laws and regulations, are used for legal and reasonable purposes, are not shared, disclosed or sold outside these legal uses, and are subject to supervision and management by the state regulatory authorities. Necessary measures should be taken to selectively prevent the use or access of personal information data to prevent illegal access to such personal information data, to ensure that personnel with access to personal information data comply with relevant laws and regulations, and to ensure the security of user personal information. In addition, once these user personal information data are no longer needed, the risk should be minimized by limiting or even prohibiting data collection and / or deleting data.

[0019] It should be noted that the embodiments in the present disclosure and the features in the embodiments can be combined with each other without conflict. The present disclosure will be described in detail below with reference to the drawings and in combination with the embodiments.

[0020] Figure 1 An exemplary architecture 100 is shown, which can apply embodiments of the sleep monitoring method or sleep monitoring device of the present disclosure.

[0021] As shown in Figure 1 The system architecture 100 can include a radar 101, a human body 102, and a processing end 103. The radar 101 can be various radio detection and ranging devices, such as over-the-horizon radar, microwave radar, millimeter wave radar, laser radar, etc. The human body 102 refers to the object of sleep monitoring. Generally, the radar 101 can be arranged in the surrounding environment when the human body 102 is sleeping, to monitor during the sleep period of the human body 102. The processing end 103 can receive the echo signal of the radar monitoring, and determine the position information of the target human body region according to the echo signal, and further determine the motion state information of the target human body region.

[0022] The processing end 103 can be various devices providing signal processing services, such as servers and various terminal devices (such as terminals used by the human body 102, etc.). In some cases, the processing end 103 can also be arranged in the radar 101. According to actual needs, the processing end 103 can also include various information output devices (such as display screens, audio output interfaces, etc.) to output the determined motion state information after determining the motion state information of the target human body region, so as to facilitate relevant users to understand the sleep monitoring result.

[0023] It should be noted that the sleep monitoring method provided by the embodiments of the present disclosure is generally executed by the processing end 103, and correspondingly, the sleep monitoring device is generally arranged in the processing end 103.

[0024] It should be understood that Figure 1The number of radars and processing ends in FIG. 1 is merely illustrative. Any number of radars and processing ends can be provided according to implementation needs.

[0025] With reference to the foregoing description of the sleep monitoring method, the sleep monitoring method can be implemented by a sleep monitoring device. FIG. 2 shows a flow 200 of one embodiment of a sleep monitoring method according to the present disclosure. The sleep monitoring method comprises the following steps: Figure 2

[0026] Step 201, receiving echo signals of a sleep period by radar.

[0027] In this embodiment, the radar can be various types of radars, such as millimeter wave radar, etc. The radar can be arranged in the surrounding environment of the human body in a sleep state. That is, the radar is arranged in the user's sleep environment. According to the actual application scenario, the radar can be arranged in a position relatively close to the human body in a sleep state to ensure that the radar can monitor the human body and the position nearby. For example, the radar can be arranged at a location where the user sleeps (such as near a bed or sofa, etc.). As an example, as shown in FIG. 1, the radar can be arranged above the head of the human body. Figure 1

[0028] The sleep period can refer to a time period during which the human body is in a sleep state, and can be determined according to the actual sleep situation of the human body. For example, the sleep period can be from 11 p.m. to 7 a.m. the next day.

[0029] The echo signal refers to a signal formed after various objects (including the human body) in the surrounding environment of the human body in a sleep state reflect or scatter electromagnetic waves emitted by the radar during propagation of the electromagnetic waves.

[0030] Step 202, determining position information of a target human body region of the human body according to the echo signals.

[0031] In this embodiment, the target human body region can refer to any region of the human body, or can refer to the human body itself, and can be determined according to actual monitoring needs. For example, if it is desired to monitor the turning-over situation of the human body during sleep, the target human body region can refer to the human body or the torso. For another example, if it is desired to monitor the periodic leg movement situation of the human body during sleep, the target human body region can refer to at least one of the leg and foot regions.

[0032] The position information of the target human body region can be used to indicate the position where the target human body region is located, and various representation methods can be used. For example, the position information of the target human body region can be represented using a relative position with the position of the radar as a reference point.

[0033] ​​After obtaining the echo signal of the radar, various methods can be used to determine the position information of the target human body region according to the echo signal. For example, the position information of the target human body region can be determined by querying a pre-set position reference table. The position reference table can store the correspondence between the echo signal and the position information of the target human body region. At this time, the position information corresponding to the echo signal received by the radar can be queried in the position reference table, and the queried position information is determined as the position information of the target human body region. The position reference table can be obtained by a large number of tests in advance.

[0034] Step 203, determining the motion state information of the target human body region according to the echo signal and the position information.

[0035] In this embodiment, the motion state information of the target human body region can be used to indicate the motion state of the target human body region. For example, the motion state information can indicate whether the target human body region has a specified motion. For another example, the motion state information can indicate the attribute information (such as the number of motions, the amplitude of motion, etc.) of the specified motion of the target human body region.

[0036] Generally, different human body regions can have the same motion, or different motions. Therefore, different human body regions can have the same motion state, or different motion states. For example, the leg can have a kicking motion, and the arm does not have a kicking motion. For another example, periodic leg movement in sleep can cause the leg and the foot to move together, so the leg and the foot can have periodic leg movement in sleep.

[0037] Specifically, after determining the position information of the target human body region, various methods can be used to determine the motion state information of the target human body region according to the echo signal of the radar and the position information of the target human body region.

[0038] For example, the motion state information of the target human body region can be determined by querying a pre-set motion state information reference table. The motion state information reference table can store the correspondence between the echo signal and the motion state information of the target human body region. At this time, the motion state information corresponding to the echo signal received by the radar can be queried in the position reference table, and the queried motion state information is determined as the position information of the target human body region. The position reference table can be obtained by a large number of tests in advance.

[0039] The radar which can be arranged around the human body receives echo signals during the sleep period of the human body, position information of a target human body region is determined, and motion state information of the target human body region is determined according to the echo signals and the position information of the target human body region, so that the application requirement of a long-term sleep monitoring scene such as a family can be met, and the interference to the sleep quality of the human body caused by the sleep monitoring using a wearable device can be avoided.

[0040] In some optional implementation manners of the embodiment, the position information of the target human body region of the human body can be determined according to the echo signals through a position information determination process 300 as shown in the following figure: Figure 3

[0041] In step 301, energy sets on each range gate of the radar are determined according to the echo signals.

[0042] In this step, the range gate can refer to a unit into which a time interval between the transmission pulses of the radar is divided. The range gate is usually matched with the bandwidth of the transmission pulse, so the range gate of the radar can be determined in advance through the spatial resolution of the radar and the like.

[0043] The energy on the range gate can be used to represent the amplitude and intensity of the echo signal corresponding to the range gate. Generally, the greater the amplitude and / or the greater the intensity, the more intense the motion can be represented, and the greater the energy. The energy set on each range gate can include the energy corresponding to each echo signal received by the range gate during the sleep period.

[0044] The energy set on each range gate can be determined based on the echo signals by using various existing energy representation methods. As an example, when the echo signals are represented by complex signals, the energy of each range gate in a period can be represented by the real part (such as R g ) and the imaginary part (such as I g ) of the echo signal corresponding to the range gate in the period.

[0045] For example, E g =R g +I g .

[0046] Wherein, “E g ” can represent the energy on the range gate. “R g ” can represent the real part. “I g ” can represent the imaginary part. “g” can represent the range gate.

[0047] In step 302, for each range gate of the radar, an integral of the energy set on the range gate in the time dimension is determined to obtain a first integral result.

[0048] ​In this step, the integral of the energy set on each distance gate in the time dimension can represent the total energy of all echo signals corresponding to the distance gate in the entire sleep period. Specifically, the integral of the energy set on each distance gate in the time dimension can be determined by using existing integral calculation methods (such as summation, discrete time domain integral, etc.), so as to obtain the first integral result corresponding to each distance gate. The first integral result corresponding to each distance gate can represent the total energy on the distance gate in the entire sleep period.

[0049] Step 303, determining the position information of the human body according to the first integral result.

[0050] In this step, the position information of the human body can represent the position of the human body. After obtaining the first integral result corresponding to each distance gate, various methods can be used to determine the position information of the human body. Since the radar is usually placed near the human body in a sleep state, and during the sleep period of the human body, other objects around the human body are usually in a static state or almost motionless state. Therefore, the object in the detection range of the radar that has a motion state is the human body.

[0051] Based on this, the distance gate that detects the motion signal can be determined according to the first integral result, and then the monitoring range of the radar indicated by each distance gate that detects the motion signal can be regarded as the motion range of the human body, so as to obtain the position information of the human body. Generally, the greater the first integral result corresponding to the distance gate can represent the greater the energy on the distance gate, that is, the more intense the motion. Therefore, a detection threshold can be set in advance, and the distance gate corresponding to the first integral result greater than the detection threshold is determined as the distance gate that has the motion signal. The detection threshold can be set in advance by the technician according to statistical data or simulation experiment, etc.

[0052] After determining each distance gate that has the motion signal, the space between the distance gate corresponding to the maximum monitoring distance and the distance gate corresponding to the minimum monitoring distance in each distance gate can be regarded as the activity range of the human body from head to foot, that is, the position of the human body. Specifically, the position information of the human body can be represented by various position representation methods according to actual application requirements. For example, the position information of the human body can be represented by using the position corresponding to the distance gate corresponding to the maximum monitoring distance and the position corresponding to the distance gate corresponding to the minimum monitoring distance in each distance gate.

[0053] For another example, the corresponding relationship between the position information of the human body and the distance gate that has the motion signal can be set in advance through statistical analysis or simulation implementation, etc. At this time, the position information of the human body can be determined by querying the preset corresponding relationship according to the determined distance gate that has the motion signal.

[0054] Step 304, determining the position information of the target human body region according to the position information of the human body.

[0055] In this step, after obtaining the position information of the human body, various methods can be further used to determine the position information of the target human body region. Since the position of the target human body region on the human body is usually fixed, the position information of the target human body region can be determined according to the position information of the human body in combination with the proportion of the human body.

[0056] For example, the position of the target human body region on the human body can be measured in advance. Then, after obtaining the position information of the human body, the position information of the target human body region can be directly determined according to the position of the target human body region on the human body.

[0057] By taking advantage of the fact that the human body around the sleep period is usually in a state of rest or almost rest, the region with motion signal in the detection range of the radar is detected, so that the position of the human body can be conveniently determined, and then the position of the target human body region can be quickly determined according to the proportion of the human body, thereby improving the sleep monitoring efficiency.

[0058] In some optional implementations of the embodiment, the motion state information of the target human body region can be determined according to the echo signal and the position information of the target human body region by using a motion state information determination process 400 as shown in FIG. 4A: Figure 4

[0059] Step 401: Select a distance gate around the target human body region.

[0060] In this step, the distance gate around the target human body region can refer to a specified range around the position of the target human body region, which can be pre-set by the technician according to the actual application scenario. For example, the distance gate around the target human body region can include a distance gate with a distance not more than a preset distance threshold from the position of the target human body region.

[0061] Step 402: For each sub-period in the sleep period, determine the integral of the energy of each distance gate in the distance gate dimension corresponding to the sub-period, to obtain a second integral result.

[0062] In this step, each sub-period in the sleep period can be divided based on the frame rate of the radar, which can be flexibly set by the technician according to the actual application scenario. The length of each sub-period can be the same or different.

[0063] For each sub-period, various existing integral methods can be used to determine the integral of the energy of each distance gate in the distance gate dimension in the sub-period (such as summing the energy of each distance gate in the sub-period, etc.), thereby obtaining the second integral result corresponding to each sub-period. The second integral result corresponding to each sub-period can represent the total energy of the distance gate around the target human body region in the sub-period.

[0064] ​In step 403, the motion state information of the target human body region is determined according to the second integration result.

[0065] After obtaining the second integration result corresponding to each sub time period in the sleep time period, the motion state information of the target human body region can be determined by various methods. For example, the motion state information of the target human body region can be determined according to the second integration result by using a pre-defined motion state information determination rule. The motion state information determination rule can refer to a calculation rule for determining the motion state information of the target human body region according to the second integration result corresponding to each sub time period, which can be pre-set by a technician.

[0066] Alternatively, the sub time periods with strong motion and the sub time periods with weak motion can be determined according to the second integration result corresponding to each sub time period, and then the motion state information of the target human body region can be determined according to the strength of the motion indicated by the second integration result corresponding to each sub time period arranged in time sequence. Specifically, the motion state information of the target human body region can be determined according to the motion strength characteristics in the time dimension corresponding to various motion state information of the human body.

[0067] By analyzing the motion strength indicated by the echo signal of each sub time period around the position of the target human body region, the motion state information of the target human body region can be intuitively understood, thereby realizing a convenient motion state information determination method.

[0068] In some optional implementations of the embodiment, after receiving the echo signal of the sleep time period by using the radar, the echo signal can be first denoised to obtain a processed echo signal, and then the processed echo signal is used as the echo signal in the above processing steps to determine the motion state information of the target human body region. Figure 2 Or Figure 3 Or Figure 4 The processing steps described in the embodiment are used to determine the motion state information of the target human body region.

[0069] Specifically, various signal denoising methods can be used to denoise the echo signal according to the actual application scenario. For example, the echo signal can be subjected to short-time scale direct current removal to obtain the echo signal of fast motion. For another example, the echo signal can be pre-processed to remove background noise signals.

[0070] By first performing various denoising processing on the echo signal, the quality of the echo signal can be improved, and some signals that can affect the subsequent sleep monitoring can be removed, thereby helping to improve the accuracy of the sleep monitoring result.

[0071] In some optional implementations of the embodiment, the target human body region can include at least one of a leg and a foot. At this time, the motion state information of the target human body region can be used to indicate whether a periodic leg movement in sleep occurs in the target human body region. The periodic leg movement in sleep, also known as nocturnal myoclonus, generally refers to a stereotyped flexion movement, which is a repeated lower limb muscle contraction in sleep, and often wakes up a person.

[0072] Optionally, the motion state information of the target human body region can be used not only to indicate whether the periodic leg movement in sleep occurs in the target human body region. In the case where the periodic leg movement in sleep exists in the target human body region, the motion state information of the target human body region can also be used to indicate a feature of the periodic leg movement in sleep.

[0073] The feature of the periodic leg movement in sleep can refer to various features of the periodic leg movement in sleep. For example, the feature of the periodic leg movement in sleep includes, but is not limited to, a time period of occurrence, a leg movement degree of each time period, and the like.

[0074] Optionally, the feature of the periodic leg movement in sleep can include a periodic limb movement index. The periodic limb movement index generally can refer to a number of leg movements per hour of sleep time.

[0075] As an example, when detecting the periodic leg movement in sleep, whether there is a motion signal in the target human body region can be detected frame by frame in the time dimension. If there is a continuous motion signal, it can be recorded as one complete single leg movement. Specifically, the monitoring can be performed according to the periodic leg movement definition of the Sleep Foundation. For example, a time difference between adjacent single leg movements can be calculated, and a leg movement with a time interval between adjacent single leg movements of 5-90 seconds is recorded as a continuous periodic leg movement, a leg movement with a time interval of less than 5 seconds is combined and recorded as one leg movement, and a leg movement with a time interval greater than 90 seconds is recorded as two separate discontinuous leg movements. At the same time, for the continuous periodic leg movement, more than 4 single leg movements contained therein are recorded as one periodic leg movement event, and then the number of periodic leg movement events per hour can be counted as a periodic limb movement index.

[0076] The periodic leg movement in sleep is a common sleep problem for many people, especially the elderly. By setting a radar near a person during sleep to monitor the motion state of a specified human body region, convenient monitoring of the periodic leg movement in sleep can be achieved. Since the monitoring process has less disturbance to the human body, the sleep quality of the user can also be ensured to a certain extent.

[0077] In one illustrative application scenario of the sleep monitoring method of the embodiment, as shown in FIG. 1, a radar 100 is arranged near a bed 101 on which a person 102 sleeps. The radar 100 can be used to monitor the motion state of a target human body region of the person 102. Figure 1As shown, radar 101 receives echo signals from human body 102 throughout the night's sleep. First, the location of human body 102 can be determined based on the echo signals (as indicated by the area marked 103 in the figure). Then, based on the echo signals and the proportions of the human body, the location of the target human body region (such as the legs) can be determined (as indicated by the area marked 104 in the figure). Afterwards, the presence of motion signals in the target human body region can be detected frame-by-frame over time to detect leg movements, and the detection results can be used to determine whether human body 102 exhibits periodic leg movements during sleep.

[0078] The method provided in the above embodiments of this disclosure achieves non-contact sleep monitoring by placing radar near the human body during sleep and utilizing millimeter-scale radar technology, thus avoiding sleep interference from wearable sleep monitoring devices and ensuring the user's sleep quality. Furthermore, this sleep monitoring method can be used in scenarios such as home care and can be used long-term, solving problems such as the inability to perform long-term monitoring in professional medical settings.

[0079] Further reference Figure 5 As an implementation of the methods shown in the above figures, this disclosure provides an embodiment of a sleep monitoring device, which is similar to... Figure 2 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.

[0080] like Figure 5 As shown, the sleep monitoring device 500 provided in this embodiment includes a receiving unit 501, a first determining unit 502, and a second determining unit 503. The receiving unit 501 is configured to receive echo signals during sleep using radar, wherein the radar is positioned in the surrounding environment of the sleeping person. The first determining unit 502 is configured to determine the location information of a target human body region based on the echo signals. The second determining unit 503 is configured to determine the motion state information of the target human body region based on the echo signals and the location information of the target human body region.

[0081] In this embodiment, the specific processing of the receiving unit 501, the first determining unit 502, and the second determining unit 503 in the sleep monitoring device 500, and the resulting technical effects, can be referred to respectively. Figure 2 The relevant descriptions of steps 201, 202 and 203 in the corresponding embodiments will not be repeated here.

[0082] In some optional implementations of the present embodiment, the first determination unit 502 is further configured to: determine, according to the echo signal, an energy set on each range gate of the radar, wherein the energy on the range gate is used to represent the amplitude and intensity of the corresponding echo signal; for each range gate of the radar, determine an integral of the energy set on the range gate in the time dimension, to obtain a first integral result; determine, according to the first integral result, the position information of the human body; and determine, according to the position information of the human body, the position information of the target human body region.

[0083] In some optional implementations of the present embodiment, the second determination unit 502 is further configured to: select the range gates around the target human body region; for each sub-period in the sleep period, determine an integral of the energy of each range gate corresponding to the sub-period in the range gate dimension, to obtain a second integral result, wherein the sub-period is determined based on the frame rate of the radar; and determine, according to the second integral result, the motion state information of the target human body region.

[0084] In some optional implementations of the present embodiment, the receiving unit 501 is further configured to: perform denoising processing on the echo signal, to obtain a processed echo signal; and determine the processed echo signal as the echo signal.

[0085] In some optional implementations of the present embodiment, the target human body region includes at least one of a leg and a foot; and the motion state information is used to indicate whether the target human body region has a periodic leg movement during sleep.

[0086] In some optional implementations of the present embodiment, the motion state information is further used to indicate a feature of the periodic leg movement during sleep, wherein the feature includes a periodic limb movement index.

[0087] The apparatus provided by the above embodiments of the present disclosure is configured to receive, by the receiving unit, an echo signal of a sleep period by a radar, wherein the radar is arranged in the surrounding environment of a human body in a sleep state; determine, by the first determination unit, position information of a target human body region of the human body according to the echo signal; and determine, by the second determination unit, motion state information of the target human body region according to the echo signal and the position information of the target human body region, thereby avoiding the interference of wearable devices and the like on the sleep quality of the human body, and meeting the long-term use requirement in a home and other application scenarios, and realizing convenient sleep monitoring.

[0088] Reference will now be made to the following description Figure 6 which shows an electronic device 100 suitable for use in implementing embodiments of the present disclosure (e.g. Figure 1The diagram shows the structure of the server (600) in this disclosure. The terminal devices in the embodiments of this disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The server shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0089] like Figure 6 As shown, electronic device 600 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 601, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 602 or a program loaded from storage device 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for the operation of electronic device 600. Processing device 601, ROM 602, and RAM 603 are interconnected via bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0090] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electronic device 600 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 An electronic device 600 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 6 Each box shown can represent a device or multiple devices as needed.

[0091] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a storage device 608, or installed from a ROM 602. When the computer program is executed by a processing device 601, it performs the functions defined in the methods of embodiments of this disclosure.

[0092] It should be noted that the computer readable medium described in the embodiments of the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of computer readable storage media can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the embodiments of the present disclosure, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or apparatus. In the embodiments of the present disclosure, the computer readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer readable program code. Such a propagated data signal can take many forms, including but not limited to an electromagnetic signal, an optical signal or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium other than the computer readable storage medium, which can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, device or apparatus. The program code contained in the computer readable medium can be transmitted by any suitable medium, including but not limited to a wire, a cable, an RF (radio frequency) or the like, or any suitable combination of the above.

[0093] The computer readable medium described above can be contained in the electronic device described above; or can exist separately and not be assembled into the electronic device. The computer readable medium described above carries one or more programs, which, when executed by the electronic device, cause the electronic device to: receive an echo signal of a sleep period using a radar, wherein the radar is arranged in a surrounding environment of a human body in a sleep state; determine position information of a target human body region of the human body according to the echo signal; and determine motion state information of the target human body region according to the echo signal and the position information.

[0094] Computer program code for carrying out operations of embodiments of the present disclosure can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0095] The computer program instructions can also be loaded onto a computer or other programmable information processing apparatus to cause a series of operations to be performed on the computer or other programmable information processing apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable information processing apparatus implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0096] The units described in the embodiments of the present disclosure can be implemented by hardware, software, or a combination of hardware and software. The units described can be arranged in a processor, for example, can be described as: a processor includes a receiving unit, a first determining unit, and a second determining unit. Among them, the names of these units do not constitute a limitation on the units themselves in some cases. For example, the receiving unit can also be described as: a unit for receiving echo signals of the sleep period by using the radar.

[0097] The above description is merely that of the preferred embodiments of the present disclosure and a description of the technical principles of the present disclosure. It should be understood by those skilled in the art that the inventive scope of the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by the combinations of the above technical features or equivalent features without departing from the above inventive concept. For example, the technical solutions formed by the mutual replacement of the above features and the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) form the technical solutions.

Claims

1. A sleep monitoring method, comprising: receiving, by a radar, echo signals of a sleep period, wherein the radar is disposed in a surrounding environment of a human body in a sleep state; determining, according to the echo signals, energy sets on each range gate of the radar, wherein the energy on the range gate is used to represent the amplitude and intensity of the corresponding echo signal; for each range gate of the radar, determining an integral of the energy set on the range gate in a time dimension to obtain a first integral result; wherein the first integral result corresponding to each range gate can represent the total energy on the range gate in the entire sleep period; determining, according to the first integral result, range gates at which motion signals are detected, regarding a monitoring range of the radar indicated by each range gate at which a motion signal is detected as a motion range of the human body to obtain position information of the human body; determining, according to the position information of the human body, position information of a target human body region; determining, according to the echo signals and the position information of the target human body region, motion state information of the target human body region.

2. The method of claim 1, wherein, The determining, according to the echo signals and the position information of the target human body region, motion state information of the target human body region, comprises: selecting range gates around the target human body region; for each sub-period in the sleep period, determining an integral of the energy of each range gate corresponding to the sub-period in a range gate dimension to obtain a second integral result, wherein the sub-period is determined based on a frame rate of the radar; determining, according to the second integral result, the motion state information of the target human body region.

3. The method according to one of claims 1-2, wherein, After the receiving, by a radar, echo signals of a sleep period, the method further comprises: performing denoising processing on the echo signals to obtain processed echo signals; determining the processed echo signals as the echo signals.

4. The method according to one of claims 1-2, wherein, The target human body region comprises at least one of a leg and a foot; and The motion state information is used to indicate whether a periodic leg movement in sleep occurs in the target human body region.

5. The method of claim 4, wherein, The motion state information is further used to indicate a feature of the periodic leg movement in sleep, wherein the feature comprises a periodic limb movement index. 6.A sleep monitoring apparatus, comprising: a receiving unit configured to receive, by a radar, echo signals of a sleep period, wherein the radar is disposed in a surrounding environment of a human body in a sleep state; a first determining unit configured to determine, according to the echo signals, energy sets on each range gate of the radar, wherein the energy on the range gate is used to represent the amplitude and intensity of the corresponding echo signal; for each range gate of the radar, determine an integral of the energy set on the range gate in a time dimension to obtain a first integral result; wherein the first integral result corresponding to each range gate can represent the total energy on the range gate in the entire sleep period; determine, according to the first integral result, range gates at which motion signals are detected, regarding a monitoring range of the radar indicated by each range gate at which a motion signal is detected as a motion range of the human body to obtain position information of the human body; determine, according to the position information of the human body, position information of a target human body region; A second determining unit is configured to determine motion state information of the target human body region according to the echo signal and position information of the target human body region.

7. The apparatus of claim 6, wherein, The second determining unit is further configured to: select a distance gate around the target human body region; for each sub-period in the sleep period, determine an integral of energy of each distance gate corresponding to the sub-period in a distance gate dimension, to obtain a second integral result, wherein the sub-period is determined based on a frame rate of the radar; determine motion state information of the target human body region according to the second integral result.

8. The apparatus of one of claims 6-7, wherein, The receiving unit is further configured to: perform de-noising processing on the echo signal to obtain a processed echo signal; determine the processed echo signal as the echo signal.

9. The apparatus of one of claims 6-7, wherein, The target human body region includes at least one of a leg and a foot; and The motion state information is used to indicate whether the target human body region has sleep periodic leg movement.

10. The apparatus of claim 9, wherein, The motion state information is also used to indicate a feature of the sleep periodic leg movement, wherein the feature includes a periodic limb movement index. 11.An electronic device, comprising: one or more processors; a memory device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-5.

12. A computer readable medium having stored thereon a computer program, wherein, The program is executed by the processor to implement the method according to any one of claims 1-5.

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