CN114376520A - Method, apparatus and storage medium for monitoring sleep - Google Patents
Method, apparatus and storage medium for monitoring sleep Download PDFInfo
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- CN114376520A CN114376520A CN202111610014.1A CN202111610014A CN114376520A CN 114376520 A CN114376520 A CN 114376520A CN 202111610014 A CN202111610014 A CN 202111610014A CN 114376520 A CN114376520 A CN 114376520A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6892—Mats
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
Abstract
The application relates to the technical field of sleep monitoring, and discloses a method for monitoring sleep, which comprises the following steps: determining target monitoring equipment for acquiring target detection data; controlling target monitoring equipment to collect target detection data; and analyzing the target detection data acquired by the target monitoring equipment to obtain a sleep monitoring result. Therefore, the target monitoring equipment with high reliability can be selected in the selection process of the sleep monitoring equipment, the sleep analysis of the user is carried out through the target detection data collected by the target monitoring equipment, a more accurate sleep result is obtained, and the sleep monitoring precision of the user is further improved. The application also discloses a device and a storage medium for monitoring sleep.
Description
Technical Field
The present application relates to the field of sleep monitoring technology, and for example, to a method, an apparatus, and a storage medium for monitoring sleep.
Background
At present, along with the continuous improvement of the living standard of the user, the monitoring of the user to the sleep is more and more emphasized. Thus, a variety of sleep monitoring devices have emerged. Such as smart pillows, sleep bands, etc. Taking the intelligent pillow as an example, the intelligent pillow is provided with a piezoelectric sensor and a controller, the piezoelectric sensor can detect a voltage signal when a user sleeps, and the controller can obtain the sleeping state of the user according to the voltage signal. However, in the process of sleep monitoring by the user through the intelligent pillow, when the user is far away from the intelligent pillow, if the head is far away from the intelligent pillow, the intelligent pillow cannot obtain accurate detection data, and the like, so that the reliability of a sleep monitoring result obtained by analyzing the detection data is relatively low. Therefore, when the existing bed sleep monitoring equipment carries out sleep monitoring, certain use limitation exists, so that reliable monitoring data cannot be obtained, and the accuracy of a sleep monitoring result is seriously influenced.
Therefore, how to obtain a sleep monitoring result with better reliability becomes a technical problem to be solved urgently.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method, a device and a storage medium for monitoring sleep, so as to provide a sleep monitoring scheme with stronger reliability.
In some embodiments, the method for monitoring sleep comprises: determining target monitoring equipment for acquiring target detection data; controlling target monitoring equipment to collect target detection data; and analyzing the target detection data acquired by the target monitoring equipment to obtain a sleep monitoring result.
In some embodiments, the method for monitoring sleep comprises: acquiring a first detection signal in a continuous time period acquired by millimeter wave radar monitoring equipment and a second detection signal in a continuous time period acquired by bed sleep monitoring equipment; and determining the target monitoring equipment for acquiring the target detection data based on the first detection signal in the continuous time period or the second detection signal in the continuous time period.
In some embodiments, the method for monitoring sleep comprises: determining a state of the room based on the first detection signal for the continuous period of time or the second detection signal for the continuous period of time; and under the condition that the indoor state indicates that people exist in the room, determining that the target monitoring equipment for acquiring the target detection data is the bed sleep monitoring equipment.
In some embodiments, the method for monitoring sleep comprises: acquiring the number of signals with signal intensity higher than the first action intensity in the first detection signals in the continuous time period; determining the ratio of the number of the signals to the number of the time periods as a first ratio; and determining that the indoor state is the manned state when the first ratio is not less than the first threshold value.
In some embodiments, the method for monitoring sleep comprises: obtaining the number of signals with the signal intensity higher than the second action intensity in the second detection signals in the continuous time period; determining the ratio of the number of the signals to the number of the time periods as a second ratio; and under the condition that the second ratio is not less than the second threshold value, determining that the indoor state is the manned state.
In some embodiments, the method for monitoring sleep comprises: and under the condition that the indoor state determined based on the second detection signal in the continuous time period is a manned state and the indoor state determined based on the first detection signal in the continuous time period is an unmanned state, determining that the target monitoring equipment used for collecting target detection data is the sleep monitoring equipment on the bed, and pushing an adjustment prompt of the millimeter wave radar monitoring equipment to the user.
In some embodiments, the method for monitoring sleep comprises: and under the condition that the bed sleep monitoring equipment cannot acquire the second detection signal within the continuous time period, determining that the target monitoring equipment for acquiring the target detection data is millimeter wave radar monitoring equipment.
In some embodiments, the method for monitoring sleep comprises: and under the condition that the target monitoring equipment detects various types of target detection data, sequentially analyzing the various types of target detection data according to the pre-stored priority information of the various types so as to obtain sleep monitoring results corresponding to the various types of target detection data.
In some embodiments, the means for monitoring sleep comprises: a processor and a memory storing program instructions, the processor being configured to, upon execution of the program instructions, perform a method for monitoring sleep as previously described.
In some embodiments, the storage medium stores program instructions that, when executed, perform a method for monitoring sleep as previously described.
The method, the device and the storage medium for monitoring sleep provided by the embodiment of the disclosure can realize the following technical effects: determining target monitoring equipment for acquiring target detection data; and controlling the target monitoring equipment to collect target detection data; so as to analyze the target detection data collected by the target monitoring equipment, thereby obtaining the sleep monitoring result. Therefore, the target monitoring equipment with high reliability can be selected in the selection process of the sleep monitoring equipment, the sleep analysis of the user is carried out through the target detection data collected by the target monitoring equipment, a more accurate sleep result is obtained, and the sleep monitoring precision of the user is further improved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic diagram of a method for monitoring sleep provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a method for determining a target monitoring device according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another method for determining an object monitoring device provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a method for determining indoor conditions provided by embodiments of the present disclosure;
FIG. 5 is a schematic diagram of another method for determining a state in a room provided by an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of an apparatus for monitoring sleep provided by an embodiment of the present disclosure;
fig. 7 is a schematic diagram of another apparatus for monitoring sleep provided by an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
The term "correspond" may refer to an association or binding relationship, and a corresponds to B refers to an association or binding relationship between a and B.
In the embodiment of the present disclosure, the terminal device is an electronic device with a wireless connection function, and the terminal device may be in communication connection with the intelligent household appliance device by connecting to the internet, or may be in communication connection with the intelligent household appliance device directly by means of bluetooth, wifi, and the like. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a vehicle-mounted device built in a floating car, or any combination thereof. The mobile device may include, for example, a cell phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or the like, or any combination thereof, wherein the wearable device includes, for example: smart watches, smart bracelets, pedometers, and the like.
FIG. 1 is a schematic diagram of a method for monitoring sleep provided by an embodiment of the present disclosure; as shown in fig. 1, an embodiment of the present disclosure provides a method for monitoring sleep, including:
and S11, the terminal equipment determines target monitoring equipment for acquiring target detection data.
And S12, the terminal device controls the target monitoring device to collect target detection data.
And S13, the terminal equipment analyzes the target detection data collected by the target monitoring equipment to obtain a sleep monitoring result.
In this scheme, the terminal device may determine the target monitoring device for acquiring the target detection data among the plurality of indoor sleep monitoring devices. Here, the target detection data is one or more of a body motion signal, a heart rate, and a breathing rate. The plurality of sleep monitoring devices may include a millimeter wave radar monitoring device and a bed sleep monitoring device. Wherein, the bed sleep monitoring device can be an intelligent pillow or a sleep belt. Millimeter wave radar monitoring facilities and bed sleep monitoring facilities all can monitor user's body movement signal, and bed sleep monitoring facilities can also detect the change of the pressure value such as the fluctuation of thorax and the beat of pulse in the sleep, consequently can obtain detection data such as breathing, rhythm of the heart. Further, the target monitoring device may be controlled to collect the target detection data after the target monitoring device for collecting the target detection data is determined. That is, the target monitoring device can collect the body movement signal, the respiration, the heart rate and other detection data of the user. Therefore, after the target monitoring equipment collects the target detection data, the collected target detection data can be analyzed to obtain a reliable sleep monitoring result. In an example, a plurality of sleep analysis algorithms may be pre-stored in the terminal device, and the target detection data is analyzed in combination with the plurality of sleep analysis algorithms to obtain a sleep monitoring result, so as to further improve the accuracy of sleep monitoring.
By adopting the method for monitoring sleep provided by the embodiment of the disclosure, the target monitoring equipment for collecting target detection data is determined; and controlling the target monitoring equipment to collect target detection data; so as to analyze the target detection data collected by the target monitoring equipment, thereby obtaining the sleep monitoring result. Therefore, the target monitoring equipment with high reliability can be selected in the selection process of the sleep monitoring equipment, the sleep analysis of the user is carried out through the target detection data collected by the target monitoring equipment, a more accurate sleep result is obtained, and the sleep monitoring precision of the user is further improved.
FIG. 2 is a schematic diagram of a method for determining a target monitoring device according to an embodiment of the present disclosure; with reference to fig. 2, optionally, S11, the terminal device determines an object monitoring device for acquiring object detection data, including:
and S21, the terminal device obtains a first detection signal in a continuous time period collected by the millimeter wave radar monitoring device and a second detection signal in a continuous time period collected by the bed sleep monitoring device.
And S22, the terminal device determines the target monitoring device for acquiring the target detection data based on the first detection signal in the continuous time period or the second detection signal in the continuous time period.
In the scheme, the terminal equipment obtains a first detection signal in a continuous time period collected by the millimeter wave radar monitoring equipment. Here, the first detection signal may be a body motion signal. The continuous time period may be a plurality of adjacent cycles starting from a previous time instant to an end of a current time instant. For example, if the continuous time period includes 5 cycles, the terminal device may obtain the body motion signals collected by the millimeter wave radar monitoring device within 5 cycles that are cut off from the previous time to the current time. In addition, the terminal equipment can also obtain a second detection signal in a continuous time period collected by the bed sleep monitoring equipment. Here, the second detection signal may be a body motion signal. The first detection signal and the second detection signal have the same signal type but different signal sources. Further, after obtaining the first detection signal within the continuous time period collected by the millimeter wave radar monitoring device and the second detection signal within the continuous time period collected by the bed sleep monitoring device, the terminal device may determine the target monitoring device for collecting the target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period. Here, two cases are included: i.e. the object monitoring device for acquiring object detection data may be determined based on the first detection signal over successive time periods. The target monitoring device for acquiring target detection data may also be determined based on the second detection signal over successive time periods. Therefore, the target monitoring equipment with higher reliability can be determined in multiple modes to ensure the precision of detection data acquisition.
FIG. 3 is a schematic diagram of another method for determining an object monitoring device provided by an embodiment of the present disclosure; with reference to fig. 3, optionally, S22, the terminal device determines, based on the first detection signal in the continuous time period or the second detection signal in the continuous time period, an object monitoring device for acquiring object detection data, including:
s31, the terminal device determines the state of the room based on the first detection signal in the continuous time period or the second detection signal in the continuous time period.
And S32, under the condition that the indoor state indicates that people exist in the room, the terminal equipment determines that the target monitoring equipment for acquiring the target detection data is the bed sleep monitoring equipment.
In this scheme, the terminal device may determine the indoor state based on the first detection signal in the continuous period or the second detection signal in the continuous period. Here, the state in the room may include a manned state or an unmanned state. The millimeter wave radar monitoring equipment can be used for monitoring the user body movement signals and has the advantages of being long in monitoring distance, wide in monitoring range and the like, and therefore whether people exist indoors or not can be determined by combining first detection signals collected by the millimeter wave radar monitoring equipment in a continuous time period. Similarly, when the user approaches the bed sleeping device, the body movement signal of the user can be correspondingly identified through the pressure change captured by the bed sleeping device, and the existence of a person in the room is determined under the condition that the user is judged to be in the bed. Thus, the presence or absence of a person in the room can be determined in combination with the second detection signal acquired by the bed sleeping apparatus during successive time periods. Further, the target monitoring device for collecting the target detection data may be determined to be a bed sleep monitoring device in a case where the indoor state indicates that a person is present in the room. Therefore, when the millimeter wave radar monitoring equipment and/or the bed sleep monitoring equipment determine that someone exists indoors, the bed sleep monitoring equipment with higher close range monitoring advantage is used as target monitoring equipment for collecting target detection data, so that the detection data with higher reliability can be obtained.
FIG. 4 is a schematic diagram of a method for determining indoor conditions provided by embodiments of the present disclosure; referring to fig. 4, S31, the terminal device determining the state of the room based on the first detection signal in the continuous time period or the second detection signal in the continuous time period includes:
and S41, the terminal equipment obtains the number of signals with the signal intensity higher than the first action intensity in the first detection signals in the continuous time period.
S42, the terminal device determines the ratio of the number of signals to the number of time segments as a first ratio.
And S43, under the condition that the first ratio is not less than the first threshold value, the terminal equipment determines that the indoor state is a human state.
In this embodiment, the first detection signal may be a body motion signal. Here, the signal intensity of the body motion signal may be characterized by the number of micro-motion triggers per unit time. Specifically, the terminal device may obtain the number of signals of which the signal intensity is higher than the first action intensity in the first detection signal of the millimeter wave radar monitoring device in the continuous time period, and determine the ratio of the number of signals to the number of time periods as the first ratio. For example, if the number of body motion signals in the consecutive time slots is 30, the first operation intensity is 18, and the number of time slots is 10, it is possible to select that the signal intensity of 5 of the 30 body motion signals is higher than 18, and then determine that the first ratio is 5/10-1/2. Further, the state in the chamber may be determined in combination with the determined first ratio. Specifically, the state of the room detected by the millimeter wave radar monitoring device may be determined to be the manned state in the case where the first ratio is not less than the first threshold value. The state of the room detected by the millimeter wave radar monitoring device may be determined to be the unattended state in the case where the first ratio is smaller than the first threshold value. As an example, the first threshold may be 0.8. Therefore, whether people exist indoors can be accurately judged by combining the body motion signals detected by the millimeter wave radar monitoring equipment, and an accurate data basis is provided for the determination of the target monitoring equipment.
FIG. 5 is a schematic diagram of another method for determining a state in a room provided by an embodiment of the present disclosure; referring to fig. 5, S31, the terminal device determines the indoor state based on the second detection signal in the continuous time period, including:
and S51, the terminal equipment obtains the number of signals with the signal intensity higher than the second action intensity in the second detection signals in the continuous time period.
S52, the terminal device determines the ratio of the number of signals to the number of time segments as a second ratio.
And S53, under the condition that the second ratio is not less than the second threshold value, the terminal equipment determines that the indoor state is the manned state.
In this embodiment, the second detection signal may be a body motion signal. Here, the signal intensity of the body motion signal may be characterized by the number of micro-motion triggers per unit time. Specifically, the terminal device may obtain the number of signals with signal intensity higher than the second action intensity in the second detection signal of the bed sleep monitoring device in the continuous time period, and determine the ratio of the number of signals to the number of time periods as the second ratio. For example, if the number of body motion signals in the consecutive time slots is 50, the second motion intensity is 300, and the number of time slots is 20, it is determined that the signal intensity of 15 of the 50 body motion signals is higher than 300, and then the second ratio is 15/20-3/4. Further, the state within the chamber may be determined in combination with the determined second ratio. Specifically, it may be determined that the in-bed sleep monitoring device detects that the person is in the bed, that is, the indoor state is the person state, if the second ratio is not less than the second threshold. It may be determined that the in-bed sleep monitoring device detects that the person is not in the bed and the indoor status is the unattended status, if the second ratio is less than the second threshold. As an example, the second threshold may be 0.6. Therefore, whether a person exists on the bed or not can be accurately judged by combining the body motion signal detected by the sleep monitoring equipment on the bed, whether the person exists in the room or not can be further determined, and an accurate data basis is provided for the determination of the target monitoring equipment.
Optionally, when the indoor state determined based on the second detection signal in the continuous time period is a manned state and the indoor state determined based on the first detection signal in the continuous time period is an unmanned state, the terminal device determines that the target monitoring device used for collecting the target detection data is a sleep-in-bed monitoring device, and pushes an adjustment prompt of the millimeter wave radar monitoring device to the user.
In this embodiment, if the indoor state determined based on the second detection signal in the continuous time period acquired by the bed sleep monitoring device is a manned state, and the indoor state determined based on the first detection signal in the continuous time period acquired by the millimeter wave radar monitoring device is an unmanned state, it may be determined that the detection result of the bed sleep monitoring device is not consistent with the detection result of the millimeter wave radar monitoring device, and it may be understood that, in order to ensure the accuracy of the detection result, the detection result of the bed sleep monitoring device with a stronger close-range monitoring advantage may be trusted, so that the terminal device may determine that the target monitoring device for acquiring the target detection data is the bed sleep monitoring device.
In an optimized scheme, in order to determine whether the detection result of the bed sleep monitoring device is consistent with the detection result of the millimeter wave radar monitoring device more accurately, the consideration dimension of the accumulated time can be increased. For example, if the cumulative duration of the indoor state determined based on the second detection signals in the continuous time periods collected by the bed sleep monitoring device is that the manned state exceeds the first duration threshold, and the cumulative duration of the indoor state determined based on the first detection signals in the continuous time periods collected by the millimeter wave radar monitoring device is that the unmanned state also exceeds the first duration threshold, it may be determined that the detection result of the bed sleep monitoring device is not consistent with the detection result of the millimeter wave radar monitoring device. As an example, the first duration threshold may be 30 minutes. Therefore, whether the detection result of the sleep monitoring equipment on the bed is consistent with the detection result of the millimeter wave radar monitoring equipment or not can be accurately determined by further combining the time dimension.
Further, in order to solve the problem that detection results of different monitoring devices are inconsistent, adjustment reminding of the millimeter wave radar monitoring device can be pushed to a user under the condition that the target monitoring device used for collecting target detection data is determined to be a sleep monitoring device on a bed, so that the user is reminded to adjust the millimeter wave radar monitoring device, and therefore detection precision of the millimeter wave radar monitoring device is improved. Specifically, the terminal device may determine an influence reason influencing inaccuracy of the detection result of the millimeter wave radar monitoring device. Here, the influence cause may include the presence of a metal or liquid-like shield between the millimeter wave radar monitoring device and the bed sleep monitoring device, or the like. Like this, can remind the adjustment of user propelling movement millimeter wave radar monitoring facilities including reminding the user to adjust millimeter wave radar monitoring facilities's the angle of placing to make it relative with the monitoring facilities that sleep on the bed, or adaptability dwindles millimeter wave radar monitoring facilities and the distance of the monitoring facilities that sleep on the bed etc.. With this scheme, can effectively improve millimeter wave radar monitoring facilities's monitoring precision to make its testing result and bed sleep monitoring facilities consistent, with the reliability of the testing result of guaranteeing the output.
Optionally, in a case that the in-bed sleep monitoring device cannot acquire the second detection signal within the continuous time period, the terminal device determines that the target monitoring device for acquiring the target detection data is a millimeter wave radar monitoring device.
In this embodiment, under the unable circumstances that matches of position of lying and the sleep monitor equipment in bed of user, the second detected signal in the continuous time quantum can't be gathered to the sleep monitor equipment in bed, under this kind of circumstances, only rely on the sleep monitor equipment in bed can't realize omnidirectional sleep monitoring to the user, consequently can combine millimeter wave radar monitoring equipment's wide area monitoring characteristic, the sleep monitor equipment in bed can't gather user's body movement signal, when breathing and rhythm of the heart, terminal equipment confirms that the target monitoring equipment who is used for gathering target detection data is millimeter wave radar monitoring equipment, with make up the drawback that the sleep monitor equipment in bed can't gather through operation millimeter wave radar monitoring equipment, so that replace the sleep monitor equipment in bed to carry out omnidirectional sleep monitoring to the user. Furthermore, the target monitoring device used for collecting the target detection data can be switched to the bed sleep monitoring device again under the condition that the bed sleep monitoring device can detect the body movement signal of the user, and more reliable sleep monitoring is provided for the user.
Optionally, S13, the analyzing, by the terminal device, the target detection data collected by the target monitoring device to obtain a sleep monitoring result, including:
under the condition that the target monitoring equipment detects various types of target detection data, the terminal equipment analyzes the various types of target detection data in sequence according to prestored priority information of various types so as to obtain sleep monitoring results corresponding to the various types of target detection data.
In the scheme, a plurality of sleep analysis algorithms can be prestored in the terminal equipment. For example, the plurality of sleep analysis algorithms may include a respiration analysis algorithm, a heart rate analysis algorithm, a body movement analysis algorithm, and the like. It is also possible to pre-store various types of priority information in the terminal device. For example, the respective types of priority information may be heart rate > respiration > body motion signal. Specifically, the terminal device may sequentially analyze the target detection data of each type according to the pre-stored priority information of each type when the target monitoring device detects the target detection data of the plurality of types. Here, the target detection data may be analyzed in order of priority from high to low. According to the scheme, the detection result obtained by the determined target monitoring equipment can be combined for analysis, so that a more accurate sleep result is obtained, and the sleep monitoring precision of the user is further improved.
The embodiment of the disclosure also provides a user state judgment method combining multiple monitoring devices. Specifically, the method comprises the following steps: acquiring a first detection signal in a continuous time period acquired by millimeter wave radar monitoring equipment and a second detection signal in a continuous time period acquired by bed sleep monitoring equipment; and determining the state of the user based on the first detection signal in the continuous time period acquired by the millimeter wave radar monitoring equipment and the second detection signal in the continuous time period acquired by the bed sleep monitoring equipment.
In this embodiment, the method for determining the user status may include the following four cases: in the first case: and if the first detection signal in the continuous time period collected by the millimeter wave radar monitoring equipment indicates that people exist indoors and the second detection signal in the continuous time period collected by the bed sleep monitoring equipment indicates that no people exist in the bed, determining that the state of the user is the office or rest state of the non-bed area. In the second case: and if the first detection signals in the continuous time periods collected by the millimeter wave radar monitoring equipment indicate that people exist indoors and the second detection signals in the continuous time periods collected by the bed sleep monitoring equipment indicate that people exist in the bed, determining that the state of the user is the in-bed state. In the third case: and if the first detection signal in the continuous time period acquired by the millimeter wave radar monitoring equipment indicates that no person exists indoors and the second detection signal in the continuous time period acquired by the bed sleep monitoring equipment indicates that a person exists in the bed, determining that the state of the user is the in-bed state, and prompting the user to perform adjustment operation of the millimeter wave radar monitoring equipment. In a fourth case: and if the first detection signal in the continuous time period collected by the millimeter wave radar monitoring equipment indicates that no person exists indoors and the second detection signal in the continuous time period collected by the bed sleep monitoring equipment indicates that no person exists on the bed, determining that the state of the user is not in the monitoring area. Here, the manner of judging that the second detection signal in the continuous time period collected by the bed sleep monitoring device indicates that a person is present in the bed is consistent with the manner of judging that the second detection signal in the continuous time period collected by the bed sleep monitoring device indicates that a person is present in the room provided above. With this scheme, can combine the respective testing result of many monitoring facilities, accurate judgement user's state to avoid judging like body motion signal mistake as user in bed state, provide comparatively accurate testing result for the user.
Optionally, in a case that neither the millimeter wave radar monitoring device nor the bed sleep monitoring device can detect the heart rate and the respiration of the user, the target monitoring device may be determined as the bed sleep monitoring device, and the sleep analysis of the user may be performed according to the body movement signal detected by the bed sleep monitoring device. And under the condition that the bed sleep monitoring equipment detects the heart rate and the breath of the user again, sleep analysis is carried out according to the analysis algorithms corresponding to the heart rate and the breath of the user respectively. Therefore, the omnibearing sleep analysis service is provided for the user through the switching of different detection data types.
FIG. 6 is a schematic diagram of an apparatus for monitoring sleep provided by an embodiment of the present disclosure; as shown in fig. 6, an embodiment of the present disclosure provides an apparatus for monitoring sleep, which includes a determination module 61, a control module 62, and an analysis module 63. The determination module 61 is configured to determine an object monitoring device for acquiring object detection data; the control module 62 is configured to control the object monitoring device to collect object detection data; the analysis module 63 is configured to analyze the target detection data collected by the target monitoring device to obtain a sleep monitoring result.
By adopting the device for monitoring sleep provided by the embodiment of the disclosure, target monitoring equipment for acquiring target detection data is determined; and controlling the target monitoring equipment to collect target detection data; so as to analyze the target detection data collected by the target monitoring equipment, thereby obtaining the sleep monitoring result. Therefore, the target monitoring equipment with high reliability can be selected in the selection process of the sleep monitoring equipment, the sleep analysis of the user is carried out through the target detection data collected by the target monitoring equipment, a more accurate sleep result is obtained, and the sleep monitoring precision of the user is further improved.
Fig. 7 is a schematic diagram of another apparatus for monitoring sleep provided by an embodiment of the present disclosure; as shown in fig. 7, an apparatus for monitoring sleep according to an embodiment of the present disclosure includes a processor (processor)100 and a memory (memory) 101. Optionally, the apparatus may also include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call logic instructions in the memory 101 to perform the method for monitoring sleep of the above-described embodiment.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing, i.e., implements the method for monitoring sleep in the above-described embodiments, by executing program instructions/modules stored in the memory 101.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for monitoring sleep.
Embodiments of the present disclosure provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for monitoring sleep.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, 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. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend 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 disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A method for monitoring sleep, comprising:
determining target monitoring equipment for acquiring target detection data;
controlling the target monitoring equipment to collect the target detection data;
and analyzing the target detection data collected by the target monitoring equipment to obtain a sleep monitoring result.
2. The method of claim 1, wherein determining an object monitoring device for acquiring object detection data comprises:
acquiring a first detection signal in a continuous time period acquired by millimeter wave radar monitoring equipment and a second detection signal in a continuous time period acquired by bed sleep monitoring equipment;
and determining target monitoring equipment for acquiring target detection data based on the first detection signal in the continuous time period or the second detection signal in the continuous time period.
3. The method of claim 2, wherein determining the target monitoring device for acquiring target detection data based on the first detection signal over the continuous time period or the second detection signal over the continuous time period comprises:
determining a state of the room based on the first detection signal within the continuous time period or the second detection signal within the continuous time period;
and under the condition that the indoor state indicates that people exist in the room, determining that the target monitoring equipment for acquiring the target detection data is the bed sleep monitoring equipment.
4. The method of claim 3, wherein determining the state of the room based on the first detection signal over the continuous time period comprises:
obtaining the number of signals with signal intensity higher than the first action intensity in the first detection signals in the continuous time period;
determining the ratio of the number of the signals to the number of the time periods as a first ratio;
and determining that the indoor state is a manned state when the first ratio is not less than a first threshold value.
5. The method of claim 3, wherein determining an object monitoring device for acquiring object detection data based on the second detection signal over the continuous time period comprises:
obtaining the number of signals with signal intensity higher than the second action intensity in the second detection signals in the continuous time period;
determining the ratio of the number of the signals to the number of the time periods as a second ratio;
and under the condition that the second ratio is not less than a second threshold value, determining that the indoor state is a manned state.
6. The method according to any one of claims 3 to 5, further comprising:
and under the condition that the indoor state determined based on the second detection signal in the continuous time period is a manned state and the indoor state determined based on the first detection signal in the continuous time period is an unmanned state, determining that the target monitoring equipment used for collecting target detection data is the sleep monitoring equipment on the bed, and pushing an adjustment prompt of the millimeter wave radar monitoring equipment to the user.
7. The method of claim 2, comprising:
and under the condition that the bed sleep monitoring equipment cannot acquire the second detection signal within the continuous time period, determining that the target monitoring equipment for acquiring the target detection data is millimeter wave radar monitoring equipment.
8. The method of claim 1, wherein analyzing the target detection data collected by the target monitoring device to obtain sleep monitoring results comprises:
and under the condition that the target monitoring equipment detects various types of target detection data, sequentially analyzing the various types of target detection data according to prestored priority information of various types so as to obtain sleep monitoring results corresponding to the various types of target detection data.
9. An apparatus for monitoring sleep comprising a processor and a memory storing program instructions, characterized in that the processor is configured to perform a method for monitoring sleep as claimed in any one of claims 1 to 7 when executing the program instructions.
10. A storage medium storing program instructions which, when executed, perform a method for monitoring sleep as claimed in any one of claims 1 to 7.
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| CN202111610014.1A CN114376520A (en) | 2021-12-27 | 2021-12-27 | Method, apparatus and storage medium for monitoring sleep |
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| WO2023241469A1 (en) * | 2022-06-13 | 2023-12-21 | 华为技术有限公司 | Sleep monitoring method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2023241469A1 (en) * | 2022-06-13 | 2023-12-21 | 华为技术有限公司 | Sleep monitoring method and device |
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