CN114010206A - Sleep plan customizing method, system and terminal based on electroencephalogram signals - Google Patents
Sleep plan customizing method, system and terminal based on electroencephalogram signals Download PDFInfo
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- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
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- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0066—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus with heating or cooling
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Abstract
The invention discloses a sleep plan customizing method, a system and a terminal based on electroencephalogram signals, wherein the method comprises the following steps: acquiring a historical sleep electroencephalogram corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram, wherein the time periods respectively correspond to different sleep states; determining auxiliary sleep operation corresponding to a plurality of time periods respectively; and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods. According to the invention, the time before the user enters deep sleep is divided into a plurality of time periods, and the sleep assisting operation of the time period is determined based on the sleep state corresponding to each time period, so that an individualized sleep plan of each user is formed, and the problem of poor sleep assisting effect caused by the fact that a fixed program is adopted by a setting program of the sleep assisting device in the prior art is solved.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a sleep plan customizing method, a device and a terminal based on electroencephalogram signals.
Background
Sleep is essential for all people, one third of the life of most people is spent in sleep, the sleep is closely inseparable from the physical and psychological functions of people, and the sleep has great influence on the physical health, normal life and normal work of human bodies. After sleeping, the fatigue nerve cells can recover normal physiological functions, and the spirit and physical strength of people can be recovered. According to the survey of more than two thousand in 14 countries by the world health organization on primary medical patients, 27 percent of people have sleep problems. The Chinese sleep research institute publishes the sleep survey result, and the incidence rate of insomnia of Chinese adults is 38.2%. Occasionally, insomnia is not so harmful to the body, but long-term insomnia causes great harm to the spirit and the body of people. High-quality sleep is an important basis of healthy life, and researches show that the sleep quality is more important than the sleep time, and most of insomnia can be prevented and improved. Therefore, various sleep assisting devices are in operation. The sleep aid is a kind of instrument for helping human body sleep, including but not limited to hot compress device, massage device and music device. They reduce the activity of the brain of a human body by relaxing the mood or relaxing the muscles, thereby achieving the effect of assisting sleep. The sleep plan corresponds to a setting program of the sleep assisting apparatus, and the setting program of the sleep assisting apparatus in the prior art is selected from a plurality of fixed programs, and the sleep assisting effect is poor because the setting program of the sleep assisting apparatus adopts the fixed program because the sleeping conditions of different users are different.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a sleep plan customizing method, system and terminal based on electroencephalogram signals, aiming at solving the problem that the setting program of the sleep assisting device in the prior art adopts a fixed program, which results in poor sleep assisting effect.
The technical scheme adopted by the invention for solving the problems is as follows:
in a first aspect, an embodiment of the present invention provides a sleep plan customization method based on electroencephalogram signals, where the method includes:
acquiring a historical sleep electroencephalogram corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram, wherein the time periods respectively correspond to different sleep states;
determining auxiliary sleep operation corresponding to a plurality of time periods respectively;
and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods.
In one embodiment, the determining a number of time periods from the historical sleep brain electrical signals comprises:
performing time domain analysis and frequency domain analysis on the historical sleep electroencephalogram signals to obtain a time-frequency analysis graph, wherein the time-frequency analysis graph is used for reflecting the corresponding relation between different moments and different frequencies;
and determining a plurality of time periods according to the time-frequency analysis graph, wherein the frequency difference value between two adjacent moments in each time period is less than a preset threshold value.
In one embodiment, the determining sleep assisting operations corresponding to a plurality of the time periods respectively includes:
acquiring starting information of a target terminal application, and displaying a setting interface according to the starting information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time period;
and acquiring selection operation data of the target user on the setting interface, and determining the sleep assisting operation corresponding to the time periods according to the selection operation data.
In one embodiment, the sleep-assisting operation includes an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-assisting operation, an odor sleep-assisting operation and a sound sleep-assisting operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
In an embodiment, the generating a sleep plan corresponding to the target user according to the sleep assisting operations respectively corresponding to the plurality of time periods includes:
determining a plurality of execution devices respectively corresponding to the sleep assisting operation, and determining the working time respectively corresponding to each execution device according to a plurality of time periods;
and setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device to obtain the sleep plan.
In one embodiment, the method further comprises:
acquiring electroencephalogram signals of the target user acquired in the sleep plan execution process to obtain reference electroencephalogram signals;
and optimizing the auxiliary sleep operation corresponding to the time periods according to the reference electroencephalogram signals to obtain an optimized sleep plan.
In one embodiment, the optimizing the sleep-assisting operations corresponding to a plurality of time periods respectively according to the reference brain electrical signal includes:
determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the plurality of reference time periods respectively correspond to different sleep states;
determining the auxiliary sleep operation corresponding to a plurality of reference time periods according to the corresponding relation between the plurality of reference time periods and the plurality of time periods, wherein a pair of the reference time periods and the time periods with the corresponding relation correspond to the same sleep state;
determining a state duration corresponding to each reference time period, and determining an operation duration of the sleep assisting operation corresponding to each reference time period;
when the state duration is less than the operation duration, shortening the operation duration to a preset proportion of the state duration;
and when the state duration is longer than the operation duration, prolonging the operation duration to be a preset proportion of the state duration.
In a second aspect, an embodiment of the present invention further provides a sleep plan customization system based on electroencephalogram signals, where the system includes:
the signal acquisition module is used for acquiring historical sleep electroencephalogram signals corresponding to a target user and determining a plurality of time periods according to the historical sleep electroencephalogram signals, wherein the time periods respectively correspond to different sleep states;
the operation determining module is used for determining the auxiliary sleep operation corresponding to the time periods;
the plan generating module is used for generating a sleep plan corresponding to the target user according to the sleep assisting operation corresponding to the time periods;
in one embodiment, the signal acquisition module comprises:
the curve acquisition unit is used for acquiring a signal intensity change curve corresponding to the historical sleep electroencephalogram signals, wherein the signal intensity change curve is used for reflecting the corresponding relation between different acquisition moments and signal intensities;
the range acquisition unit is used for acquiring a plurality of preset signal intensity ranges, wherein the signal intensity ranges respectively correspond to different sleep states;
the interval determining unit is used for determining acquisition time intervals corresponding to the signal intensity ranges respectively according to the signal intensity change curve;
and the time period determining unit is used for taking the acquisition time interval corresponding to each signal intensity range as one time period.
In one embodiment, the operation determination module comprises:
the interface opening unit is used for acquiring opening information of a target terminal application and displaying a setting interface according to the opening information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time period;
and the selection acquisition unit is used for acquiring the selection operation data of the target user on the setting interface and determining the sleep assisting operation corresponding to the time periods according to the selection operation data.
In one embodiment, the sleep-assisting operation includes an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-assisting operation, an odor sleep-assisting operation and a sound sleep-assisting operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
In one embodiment, the plan generation module comprises:
the device determining unit is used for determining a plurality of executing devices respectively corresponding to the sleep assisting operation and determining the working time respectively corresponding to each executing device according to a plurality of time periods;
and the program setting unit is used for setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device to obtain the sleep plan.
In one embodiment, the system further comprises:
the data acquisition module is used for acquiring the electroencephalogram signals of the target user acquired in the sleep plan execution process to obtain reference electroencephalogram signals;
and the sleep optimization module is used for optimizing the auxiliary sleep operation corresponding to the time periods according to the reference electroencephalogram signal to obtain an optimized sleep plan.
In one embodiment, the sleep optimization module comprises:
the signal segmentation unit is used for determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the reference time periods respectively correspond to different sleep states;
a relationship determining unit, configured to determine, according to a plurality of reference time periods and a corresponding relationship between the plurality of time periods, the sleep assisting operations corresponding to the plurality of reference time periods, respectively, where a pair of the reference time periods and the time periods having the corresponding relationship correspond to a same sleep state;
an operation determining unit, configured to determine a state duration corresponding to each reference time period, and determine an operation duration of the sleep assisting operation corresponding to each reference time period;
and the operation optimization unit is used for shortening the operation time length to the preset proportion of the state time length when the state time length is less than the operation time length, and prolonging the operation time length to the preset proportion of the state time length when the state time length is greater than the operation time length.
In a third aspect, an embodiment of the present invention further provides a terminal, where the terminal includes a memory and one or more processors; the memory stores one or more programs; the program comprises instructions for executing the electroencephalogram signal-based sleep plan customization method as described in any one of the above; the processor is configured to execute the program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a plurality of instructions are stored, where the instructions are adapted to be loaded and executed by a processor to implement any of the steps of the electroencephalogram signal-based sleep plan customization method.
The invention has the beneficial effects that: according to the embodiment of the invention, a plurality of time periods are determined according to historical sleep electroencephalograms corresponding to target users by obtaining the historical sleep electroencephalograms, wherein the time periods respectively correspond to different sleep states; determining auxiliary sleep operation corresponding to a plurality of time periods respectively; and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods. According to the invention, the time before the user enters deep sleep is divided into a plurality of time periods, and the sleep assisting operation of the time period is determined based on the sleep state corresponding to each time period, so that an individualized sleep plan of each user is formed, and the problem of poor sleep assisting effect caused by the fact that a fixed program is adopted by a setting program of the sleep assisting device in the prior art is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a sleep plan customization method based on electroencephalogram signals according to an embodiment of the present invention.
Fig. 2 is an internal block diagram of a sleep plan customizing apparatus based on electroencephalogram signals according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The invention discloses a sleep plan customizing method, a system and a terminal based on electroencephalogram signals, and in order to make the purpose, technical scheme and effect of the invention clearer and clearer, the invention is further described in detail by referring to the attached drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Sleep is essential for all people, one third of the life of most people is spent in sleep, the sleep is closely inseparable from the physical and psychological functions of people, and the sleep has great influence on the physical health, normal life and normal work of human bodies. After sleeping, the fatigue nerve cells can recover normal physiological functions, and the spirit and physical strength of people can be recovered. According to the survey of more than two thousand in 14 countries by the world health organization on primary medical patients, 27 percent of people have sleep problems. The Chinese sleep research institute publishes the sleep survey result, and the incidence rate of insomnia of Chinese adults is 38.2%. Occasionally, insomnia is not so harmful to the body, but long-term insomnia causes great harm to the spirit and the body of people. High-quality sleep is an important basis of healthy life, and researches show that the sleep quality is more important than the sleep time, and most of insomnia can be prevented and improved. Therefore, various sleep assisting devices are in operation. The sleep aid is a kind of instrument for helping human body sleep, including but not limited to hot compress device, massage device and music device. They reduce the activity of the brain of a human body by relaxing the mood or relaxing the muscles, thereby achieving the effect of assisting sleep. The sleep plan corresponds to a setting program of the sleep assisting apparatus, and the setting program of the sleep assisting apparatus in the prior art is selected from a plurality of fixed programs, and the sleep assisting effect is poor because the setting program of the sleep assisting apparatus adopts the fixed program because the sleeping conditions of different users are different.
In view of the above-mentioned defects in the prior art, the present invention provides a sleep plan customizing method based on electroencephalogram signals, the method comprising: acquiring a historical sleep electroencephalogram corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram, wherein the time periods respectively correspond to different sleep states; determining auxiliary sleep operation corresponding to a plurality of time periods respectively; and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods. According to the invention, the time before the user enters deep sleep is divided into a plurality of time periods, and the sleep assisting operation of the time period is determined based on the sleep state corresponding to each time period, so that an individualized sleep plan of each user is formed, and the problem of poor sleep assisting effect caused by the fact that a fixed program is adopted by a setting program of the sleep assisting device in the prior art is solved.
As shown in fig. 1, the method comprises the steps of:
s100, obtaining a historical sleep electroencephalogram signal corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram signal, wherein the time periods respectively correspond to different sleep states.
Specifically, the target user in this embodiment may be any one implementation object of the method of the present invention. The brain electrical signal is the reflection of the physiological activity of the brain of a human body and can be recorded at any part of the head of the human body generally. The sleep habit of the target user can be analyzed by acquiring the historical sleep electroencephalogram signals corresponding to the target user, for example, what time period is a waking state, what time period is a sleeping state, what time period is a light sleep state, and what is a deep sleep state, so that a plurality of time periods are obtained, wherein each time period corresponds to one sleep state.
In one implementation, the determining a plurality of time periods according to the historical sleep electroencephalogram signal specifically includes the following steps:
s101, acquiring a signal intensity change curve corresponding to the historical sleep electroencephalogram signal, wherein the signal intensity change curve is used for reflecting the corresponding relation between different acquisition moments and signal intensity;
step S102, acquiring a plurality of preset signal intensity ranges, wherein the signal intensity ranges respectively correspond to different sleep states;
s103, determining acquisition time intervals corresponding to the signal intensity ranges respectively according to the signal intensity variation curve;
and step S104, taking the acquisition time interval corresponding to each signal intensity range as one time period.
Specifically, when the target user is in different sleep states, the brain activity degrees of the target user are different, and the intensity fluctuation of the acquired electroencephalogram signal is caused to change. Therefore, the change condition of the brain activity degree of the target user in the sleep stage can be analyzed by acquiring the signal intensity change curve corresponding to the historical sleep electroencephalogram signal. Since the signal intensity range is set for each sleep state in advance, the duration that the target user stays in each sleep state can be determined by the acquisition time interval corresponding to each signal intensity range on the signal intensity variation curve, and the complete sleep time of the target user is divided into a plurality of time periods, wherein each time period corresponds to one sleep state.
As shown in fig. 1, the method further comprises the steps of:
and S200, determining the sleep assisting operation corresponding to the time periods respectively.
Specifically, the sleep assisting requirements are different because the sleep states corresponding to different time periods are different, and the brain activity degrees of the target users are different in different sleep states. For example, when the brain of the target user is active to a higher degree in a waking state, a higher-strength sleep assisting operation such as massage can be adopted; in the light sleep state, the target user has low brain activity, and is suitable for sleep assisting operation with low strength such as hot compress or incense. In short, in the present embodiment, the complete time before the target user enters the deep sleep state is divided into independent single time periods based on the sleep state change, and different sleep assisting operations are set for each time period.
In an implementation manner, the step S200 specifically includes the following steps:
step S201, obtaining starting information of a target terminal application, and displaying a setting interface according to the starting information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time slot;
step S202, obtaining selection operation data of the target user on the setting interface, and determining a plurality of sleep assisting operations corresponding to the time periods according to the selection operation data.
Specifically, in the embodiment, each target user is provided with an APP for customizing the sleep plan, that is, a target terminal application. And when the mobile terminal of the target user detects the opening information of the target terminal application, displaying the setting interface of the APP to the target user. The setting interface comprises each generated time period and a plurality of sleep assisting operation options corresponding to each time period. The target user needs to select the sleep assisting operation corresponding to each time slot from the sleep assisting operation options corresponding to each time slot. When the mobile terminal detects selection operation data input by the user, for example, a click operation or a sliding operation or voice information of the user is detected, that is, an assisted sleep operation of a corresponding time period is determined according to the selection operation of the user, and when the target user enters a sleep stage next time and a time point reaches the time period, the assisted sleep operation is executed.
In one implementation, the sleep-assisting operation includes an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-assisting operation, an odor sleep-assisting operation and a sound sleep-assisting operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
Specifically, the sleep-assisting operation in the present embodiment includes various categories, and may be a temperature sleep-assisting operation, such as eye heat application; it may also be a scent assisted sleep operation, such as turning on aromatherapy; it may also be a sound assisted sleep operation, such as playing music. Because the sleep states of the user entering at different time periods are different, the present embodiment needs to customize different sleep assisting operations and the intensity and strength when performing the sleep assisting operation for each time period, thereby improving the sleep assisting effect.
As shown in fig. 1, the method further comprises the steps of:
step S300, generating a sleep plan corresponding to the target user according to the sleep assisting operation corresponding to the time periods.
Specifically, after determining the sleep assisting operation corresponding to each time period, the work plans of the execution devices for the sleep assisting operation corresponding to the time period may be set based on each time period, and the sum of the work plans of the execution devices is the sleep plan corresponding to the target user.
In an implementation manner, the step S300 specifically includes the following steps:
step S301, determining a plurality of execution devices respectively corresponding to the sleep assisting operation, and determining the working time respectively corresponding to each execution device according to a plurality of time periods;
step S302, setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device, and obtaining the sleep plan.
Specifically, in order to generate the sleep plan of the target user, the present embodiment first needs to determine the execution device of the sleep assisting operation for each time period, for example, the sleep assisting operation for the time period (22 to 23 points) is a temperature sleep assisting operation, and then the execution device corresponding to the time period is the eye warming device; the sleep-assisting operation in the time period (23 to 24 points) is a smell sleep-assisting operation, and the executing equipment corresponding to the time period is the incense device. After the execution equipment corresponding to each time period is determined, the starting time and the shutdown time of each execution equipment are set according to the corresponding time period. And then, all the execution devices automatically work according to the set power-on time and power-off time, so that the sleep plan of the target user is realized.
In one implementation, the method further comprises the steps of:
s20, acquiring the electroencephalogram signal of the target user acquired in the sleep plan execution process to obtain a reference electroencephalogram signal;
and step S21, optimizing the sleep assisting operation corresponding to the time periods respectively according to the reference brain electrical signals to obtain an optimized sleep plan.
In short, since various sleep states in the sleep stage of the target user also fluctuate, the same sleep plan cannot be always adopted, and therefore, an optimization method of the sleep plan is further provided in this embodiment. Specifically, the electroencephalogram signal of the target user is acquired through the head ring of the head of the target user in the execution process of the sleep plan to obtain the reference electroencephalogram signal, and the reference electroencephalogram signal is acquired in the execution process of the sleep plan, so that the execution effect of the sleep plan can be more visually seen, the reference electroencephalogram signal is used as guidance to optimize the auxiliary sleep operation of each time period in the sleep plan, and the optimized sleep plan is obtained after the optimization is completed.
In one implementation, the optimizing the sleep assisting operations corresponding to the plurality of time periods according to the reference electroencephalogram signal specifically includes the following steps:
step S2101, determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the reference time periods respectively correspond to different sleep states;
step S2102 of determining the sleep assisting operations corresponding to the plurality of reference time periods respectively according to the plurality of reference time periods and a corresponding relationship between the plurality of time periods, where a pair of the reference time periods and the time periods having a corresponding relationship correspond to a same sleep state;
step S2103, determining a state duration corresponding to each reference time period, and determining an operation duration of the sleep assisting operation corresponding to each reference time period;
step S2104, when the state duration is less than the operation duration, shortening the operation duration to a preset proportion of the state duration;
and step S2105, when the state duration is longer than the operation duration, prolonging the operation duration to a preset proportion of the state duration.
In brief, in this embodiment, the complete time period corresponding to the sleep stage of the target user is divided based on the reference electroencephalogram signal again to obtain a plurality of reference time periods, where each reference time period corresponds to one sleep state of the target user, and a one-to-one correspondence relationship can be obtained between each reference time period and each time period in the sleep plan by matching the sleep states. In this embodiment, the sleep-assisting operation of each time segment in the sleep plan is optimized in a one-to-one correspondence with each reference time segment. Specifically, by the state duration per reference time period, the variation in the duration of each sleep state of the target user after the execution of the sleep plan can be determined. Theoretically, after the sleep plan is executed, the target user may enter the deep sleep state more quickly, and each sleep assisting operation in the sleep plan is determined based on the sleep state of the target user when the sleep plan is not executed, so that after the sleep plan is actually executed, a situation may occur in which the target user has entered the next sleep state, and the currently executed sleep assisting operation is still stopped at the sleep assisting operation corresponding to the previous sleep state. Therefore, in this embodiment, it is necessary to determine a state duration corresponding to each reference time period, and determine an operation duration of the sleep assisting operation corresponding to each reference time period, and when the state duration is smaller than the operation duration, it is indicated that the sleep assisting effect of the sleep assisting operation corresponding to the reference time period is significant, and the operation duration is shortened to a preset proportion of the state duration, for example, 80%; when the state duration is longer than the operation duration, which indicates that the sleep-assisting effect of the sleep-assisting operation corresponding to the reference time period is not good, the operation duration is extended to a preset proportion of the state duration, for example, 120%.
Based on the above embodiment, the present invention further provides a sleep plan customizing system based on electroencephalogram signals, as shown in fig. 2, the system includes:
the signal acquisition module 01 is used for acquiring a historical sleep electroencephalogram signal corresponding to a target user and determining a plurality of time periods according to the historical sleep electroencephalogram signal, wherein the time periods respectively correspond to different sleep states;
an operation determining module 02, configured to determine sleep assisting operations corresponding to a plurality of time periods respectively;
and the plan generating module 03 is configured to generate a sleep plan corresponding to the target user according to the sleep assisting operations respectively corresponding to the plurality of time periods.
In one implementation, the signal obtaining module 01 includes:
the curve acquisition unit is used for acquiring a signal intensity change curve corresponding to the historical sleep electroencephalogram signals, wherein the signal intensity change curve is used for reflecting the corresponding relation between different acquisition moments and signal intensities;
the range acquisition unit is used for acquiring a plurality of preset signal intensity ranges, wherein the signal intensity ranges respectively correspond to different sleep states;
the interval determining unit is used for determining acquisition time intervals corresponding to the signal intensity ranges respectively according to the signal intensity change curve;
and the time period determining unit is used for taking the acquisition time interval corresponding to each signal intensity range as one time period.
In one implementation, the operation determining module 02 includes:
the interface opening unit is used for acquiring opening information of a target terminal application and displaying a setting interface according to the opening information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time period;
and the selection acquisition unit is used for acquiring the selection operation data of the target user on the setting interface and determining the sleep assisting operation corresponding to the time periods according to the selection operation data.
In one implementation, the sleep-assisting operation includes an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-assisting operation, an odor sleep-assisting operation and a sound sleep-assisting operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
In one implementation, the plan generation module 03 includes:
the device determining unit is used for determining a plurality of executing devices respectively corresponding to the sleep assisting operation and determining the working time respectively corresponding to each executing device according to a plurality of time periods;
and the program setting unit is used for setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device to obtain the sleep plan.
In one implementation, the system further comprises:
the data acquisition module is used for acquiring the electroencephalogram signals of the target user acquired in the sleep plan execution process to obtain reference electroencephalogram signals;
and the sleep optimization module is used for optimizing the auxiliary sleep operation corresponding to the time periods according to the reference electroencephalogram signal to obtain an optimized sleep plan.
In one implementation, the sleep optimization module includes:
the signal segmentation unit is used for determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the reference time periods respectively correspond to different sleep states;
a relationship determining unit, configured to determine, according to a plurality of reference time periods and a corresponding relationship between the plurality of time periods, the sleep assisting operations corresponding to the plurality of reference time periods, respectively, where a pair of the reference time periods and the time periods having the corresponding relationship correspond to a same sleep state;
an operation determining unit, configured to determine a state duration corresponding to each reference time period, and determine an operation duration of the sleep assisting operation corresponding to each reference time period;
and the operation optimization unit is used for shortening the operation time length to the preset proportion of the state time length when the state time length is less than the operation time length, and prolonging the operation time length to the preset proportion of the state time length when the state time length is greater than the operation time length.
Based on the above embodiments, the present invention further provides a terminal, and a schematic block diagram thereof may be as shown in fig. 3. The terminal comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. Wherein the processor of the terminal is configured to provide computing and control capabilities. The memory of the terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a sleep plan customization method based on electroencephalogram signals. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.
It will be understood by those skilled in the art that the block diagram shown in fig. 3 is a block diagram of only a portion of the structure associated with the inventive arrangements and is not intended to limit the terminals to which the inventive arrangements may be applied, and that a particular terminal may include more or less components than those shown, or may have some components combined, or may have a different arrangement of components.
In one implementation, one or more programs are stored in a memory of the terminal and configured to be executed by one or more processors include instructions for performing a brain electrical signal-based sleep plan customization method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the invention discloses a sleep plan customization method, system and terminal based on electroencephalogram signals, and the method comprises the following steps: acquiring a historical sleep electroencephalogram corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram, wherein the time periods respectively correspond to different sleep states; determining auxiliary sleep operation corresponding to a plurality of time periods respectively; and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods. According to the invention, the time before the user enters deep sleep is divided into a plurality of time periods, and the sleep assisting operation of the time period is determined based on the sleep state corresponding to each time period, so that an individualized sleep plan of each user is formed, and the problem of poor sleep assisting effect caused by the fact that a fixed program is adopted by a setting program of the sleep assisting device in the prior art is solved.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (16)
1. A sleep plan customization method based on electroencephalogram signals, the method comprising:
acquiring a historical sleep electroencephalogram corresponding to a target user, and determining a plurality of time periods according to the historical sleep electroencephalogram, wherein the time periods respectively correspond to different sleep states;
determining auxiliary sleep operation corresponding to a plurality of time periods respectively;
and generating a sleep plan corresponding to the target user according to the auxiliary sleep operation corresponding to the time periods.
2. The brain electrical signal-based sleep plan customization method according to claim 1, wherein the determining a number of time periods from the historical sleep brain electrical signal comprises:
acquiring a signal intensity change curve corresponding to the historical sleep electroencephalogram signals, wherein the signal intensity change curve is used for reflecting the corresponding relation between different acquisition moments and signal intensities;
acquiring a plurality of preset signal intensity ranges, wherein the signal intensity ranges respectively correspond to different sleep states;
determining acquisition time intervals corresponding to the signal intensity ranges respectively according to the signal intensity change curve;
and taking the acquisition time interval corresponding to each signal intensity range as one time period.
3. The method for customizing the sleep plan based on the electroencephalogram signal according to claim 1, wherein the determining of the sleep assisting operation corresponding to each of the plurality of time periods comprises:
acquiring starting information of a target terminal application, and displaying a setting interface according to the starting information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time period;
and acquiring selection operation data of the target user on the setting interface, and determining the sleep assisting operation corresponding to the time periods according to the selection operation data.
4. The method of claim 3, wherein the sleep-assisting operation comprises an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-assisting operation, a smell sleep-assisting operation and a sound sleep-assisting operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
5. The method for customizing the sleep plan based on the electroencephalogram signal according to claim 1, wherein the generating the sleep plan corresponding to the target user according to the sleep assisting operations respectively corresponding to the plurality of time periods comprises:
determining a plurality of execution devices respectively corresponding to the sleep assisting operation, and determining the working time respectively corresponding to each execution device according to a plurality of time periods;
and setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device to obtain the sleep plan.
6. The brain electrical signal-based sleep plan customizing method according to claim 1, further comprising:
acquiring electroencephalogram signals of the target user acquired in the sleep plan execution process to obtain reference electroencephalogram signals;
and optimizing the auxiliary sleep operation corresponding to the time periods according to the reference electroencephalogram signals to obtain an optimized sleep plan.
7. The method for customizing the sleep plan based on the electroencephalogram signal according to claim 6, wherein the optimizing the sleep assisting operation corresponding to each of the plurality of time periods according to the reference electroencephalogram signal comprises:
determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the plurality of reference time periods respectively correspond to different sleep states;
determining the auxiliary sleep operation corresponding to a plurality of reference time periods according to the corresponding relation between the plurality of reference time periods and the plurality of time periods, wherein a pair of the reference time periods and the time periods with the corresponding relation correspond to the same sleep state;
determining a state duration corresponding to each reference time period, and determining an operation duration of the sleep assisting operation corresponding to each reference time period;
when the state duration is less than the operation duration, shortening the operation duration to a preset proportion of the state duration;
and when the state duration is longer than the operation duration, prolonging the operation duration to be a preset proportion of the state duration.
8. A system for sleep plan customization based on electroencephalogram signals, the system comprising:
the signal acquisition module is used for acquiring historical sleep electroencephalogram signals corresponding to a target user and determining a plurality of time periods according to the historical sleep electroencephalogram signals, wherein the time periods respectively correspond to different sleep states;
the operation determining module is used for determining the auxiliary sleep operation corresponding to the time periods;
and the plan generating module is used for generating the sleep plan corresponding to the target user according to the sleep assisting operation corresponding to the time periods respectively.
9. The brain electrical signal-based sleep plan customization system of claim 8, wherein the signal acquisition module comprises:
the curve acquisition unit is used for acquiring a signal intensity change curve corresponding to the historical sleep electroencephalogram signals, wherein the signal intensity change curve is used for reflecting the corresponding relation between different acquisition moments and signal intensities;
the range acquisition unit is used for acquiring a plurality of preset signal intensity ranges, wherein the signal intensity ranges respectively correspond to different sleep states;
the interval determining unit is used for determining acquisition time intervals corresponding to the signal intensity ranges respectively according to the signal intensity change curve;
and the time period determining unit is used for taking the acquisition time interval corresponding to each signal intensity range as one time period.
10. The brain electrical signal-based sleep plan customization system of claim 8, wherein the operation determination module comprises:
the interface opening unit is used for acquiring opening information of a target terminal application and displaying a setting interface according to the opening information, wherein the setting interface comprises a plurality of auxiliary sleep operation options corresponding to each time period;
and the selection acquisition unit is used for acquiring the selection operation data of the target user on the setting interface and determining the sleep assisting operation corresponding to the time periods according to the selection operation data.
11. The system of claim 10, wherein the sleep-aid operation comprises an operation category, an operation intensity and an operation duration, wherein the operation category is one of a temperature sleep-aid operation, a smell sleep-aid operation and a sound sleep-aid operation, the operation intensity is one of a plurality of preset intensities, and the operation duration is one of a plurality of preset durations.
12. The brain electrical signal-based sleep plan customization system of claim 8, wherein the plan generation module comprises:
the device determining unit is used for determining a plurality of executing devices respectively corresponding to the sleep assisting operation and determining the working time respectively corresponding to each executing device according to a plurality of time periods;
and the program setting unit is used for setting the starting time and the shutdown time of each execution device according to the working time corresponding to each execution device to obtain the sleep plan.
13. The brain electrical signal-based sleep plan customization system of claim 8, further comprising:
the data acquisition module is used for acquiring the electroencephalogram signals of the target user acquired in the sleep plan execution process to obtain reference electroencephalogram signals;
and the sleep optimization module is used for optimizing the auxiliary sleep operation corresponding to the time periods according to the reference electroencephalogram signal to obtain an optimized sleep plan.
14. The brain electrical signal-based sleep plan customization system of claim 13, wherein the sleep optimization module comprises:
the signal segmentation unit is used for determining a plurality of reference time periods according to the reference electroencephalogram signals, wherein the reference time periods respectively correspond to different sleep states;
a relationship determining unit, configured to determine, according to a plurality of reference time periods and a corresponding relationship between the plurality of time periods, the sleep assisting operations corresponding to the plurality of reference time periods, respectively, where a pair of the reference time periods and the time periods having the corresponding relationship correspond to a same sleep state;
an operation determining unit, configured to determine a state duration corresponding to each reference time period, and determine an operation duration of the sleep assisting operation corresponding to each reference time period;
and the operation optimization unit is used for shortening the operation time length to the preset proportion of the state time length when the state time length is less than the operation time length, and prolonging the operation time length to the preset proportion of the state time length when the state time length is greater than the operation time length.
15. A terminal, comprising a memory and one or more processors; the memory stores one or more programs; the program includes instructions for performing the electroencephalogram signal-based sleep plan customization method of any one of claims 1-7; the processor is configured to execute the program.
16. A computer readable storage medium having stored thereon a plurality of instructions, wherein the instructions are adapted to be loaded and executed by a processor to perform the steps of the electroencephalogram based sleep plan customization method of any of claims 1-7 above.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114306873A (en) * | 2022-03-02 | 2022-04-12 | 深圳市心流科技有限公司 | Sleep awakening method and device, intelligent eye patch and storage medium |
| CN114305346A (en) * | 2022-03-03 | 2022-04-12 | 深圳市心流科技有限公司 | Sleep monitoring method and device, intelligent eyeshade and storage medium |
| CN114511160A (en) * | 2022-04-20 | 2022-05-17 | 深圳市心流科技有限公司 | Method, device, terminal and storage medium for predicting sleep time |
| CN114652327A (en) * | 2022-02-11 | 2022-06-24 | 北京赋思强脑科技有限公司 | Sleep planning method and system based on electroencephalogram, intelligent terminal and storage medium |
| CN115171850A (en) * | 2022-09-07 | 2022-10-11 | 深圳市心流科技有限公司 | Sleep scheme generation method and device, terminal equipment and storage medium |
| CN115154837A (en) * | 2022-08-30 | 2022-10-11 | 深圳市心流科技有限公司 | Control method and device of sleep-assisting equipment, terminal and storage medium |
| CN115426212A (en) * | 2022-09-01 | 2022-12-02 | 深圳市心流科技有限公司 | Intelligent device adaptability adjusting method based on sleep state and terminal device |
| CN115956884A (en) * | 2023-02-14 | 2023-04-14 | 浙江强脑科技有限公司 | Sleep state and sleep stage monitoring method and device and terminal equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104879886A (en) * | 2015-04-30 | 2015-09-02 | 广东美的制冷设备有限公司 | Terminal, device and method for controlling household appliances |
| CN107126615A (en) * | 2017-04-20 | 2017-09-05 | 重庆邮电大学 | Music induced hypnotic method and system based on EEG signals |
| US20180085050A1 (en) * | 2016-09-28 | 2018-03-29 | Arizona Board Of Regents On Behalf Of The University Of Arizona | Systems and methods for individualized sleep optimization |
| CN109464130A (en) * | 2019-01-09 | 2019-03-15 | 浙江强脑科技有限公司 | Sleep householder method, system and readable storage medium storing program for executing |
| CN109498001A (en) * | 2018-12-25 | 2019-03-22 | 深圳和而泰数据资源与云技术有限公司 | Sleep quality appraisal procedure and device |
| US20190328996A1 (en) * | 2018-04-30 | 2019-10-31 | Korea University Research And Business Foundation | Method and system for inducing sleep |
| CN110488628A (en) * | 2019-09-05 | 2019-11-22 | 佛山市云米电器科技有限公司 | One kind being based on dormant intelligent home control system |
| KR20200031483A (en) * | 2018-09-14 | 2020-03-24 | 유남구 | Schedule Recommendation System and Device Using Sleep Assist Device |
| CN111863197A (en) * | 2020-07-27 | 2020-10-30 | 北京如影智能科技有限公司 | Sleep management method and device |
| CN113654218A (en) * | 2021-07-29 | 2021-11-16 | 青岛海尔空调器有限总公司 | Wearable device-based sleep assisting control method and device |
| CN113819617A (en) * | 2021-09-13 | 2021-12-21 | 青岛海尔空调器有限总公司 | Method and device for controlling intelligent household appliance to assist sleep and intelligent household appliance |
-
2022
- 2022-01-05 CN CN202210002731.4A patent/CN114010206B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104879886A (en) * | 2015-04-30 | 2015-09-02 | 广东美的制冷设备有限公司 | Terminal, device and method for controlling household appliances |
| US20180085050A1 (en) * | 2016-09-28 | 2018-03-29 | Arizona Board Of Regents On Behalf Of The University Of Arizona | Systems and methods for individualized sleep optimization |
| CN107126615A (en) * | 2017-04-20 | 2017-09-05 | 重庆邮电大学 | Music induced hypnotic method and system based on EEG signals |
| US20190328996A1 (en) * | 2018-04-30 | 2019-10-31 | Korea University Research And Business Foundation | Method and system for inducing sleep |
| KR20200031483A (en) * | 2018-09-14 | 2020-03-24 | 유남구 | Schedule Recommendation System and Device Using Sleep Assist Device |
| CN109498001A (en) * | 2018-12-25 | 2019-03-22 | 深圳和而泰数据资源与云技术有限公司 | Sleep quality appraisal procedure and device |
| CN109464130A (en) * | 2019-01-09 | 2019-03-15 | 浙江强脑科技有限公司 | Sleep householder method, system and readable storage medium storing program for executing |
| CN110488628A (en) * | 2019-09-05 | 2019-11-22 | 佛山市云米电器科技有限公司 | One kind being based on dormant intelligent home control system |
| CN111863197A (en) * | 2020-07-27 | 2020-10-30 | 北京如影智能科技有限公司 | Sleep management method and device |
| CN113654218A (en) * | 2021-07-29 | 2021-11-16 | 青岛海尔空调器有限总公司 | Wearable device-based sleep assisting control method and device |
| CN113819617A (en) * | 2021-09-13 | 2021-12-21 | 青岛海尔空调器有限总公司 | Method and device for controlling intelligent household appliance to assist sleep and intelligent household appliance |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114652327A (en) * | 2022-02-11 | 2022-06-24 | 北京赋思强脑科技有限公司 | Sleep planning method and system based on electroencephalogram, intelligent terminal and storage medium |
| CN114306873A (en) * | 2022-03-02 | 2022-04-12 | 深圳市心流科技有限公司 | Sleep awakening method and device, intelligent eye patch and storage medium |
| CN114305346A (en) * | 2022-03-03 | 2022-04-12 | 深圳市心流科技有限公司 | Sleep monitoring method and device, intelligent eyeshade and storage medium |
| CN114511160A (en) * | 2022-04-20 | 2022-05-17 | 深圳市心流科技有限公司 | Method, device, terminal and storage medium for predicting sleep time |
| CN115154837A (en) * | 2022-08-30 | 2022-10-11 | 深圳市心流科技有限公司 | Control method and device of sleep-assisting equipment, terminal and storage medium |
| CN115426212A (en) * | 2022-09-01 | 2022-12-02 | 深圳市心流科技有限公司 | Intelligent device adaptability adjusting method based on sleep state and terminal device |
| CN115171850A (en) * | 2022-09-07 | 2022-10-11 | 深圳市心流科技有限公司 | Sleep scheme generation method and device, terminal equipment and storage medium |
| CN115956884A (en) * | 2023-02-14 | 2023-04-14 | 浙江强脑科技有限公司 | Sleep state and sleep stage monitoring method and device and terminal equipment |
| CN115956884B (en) * | 2023-02-14 | 2023-06-06 | 浙江强脑科技有限公司 | Sleep state and sleep stage monitoring method and device and terminal equipment |
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