CN113892908A - Environment monitoring method and device for insomnia treatment - Google Patents

Environment monitoring method and device for insomnia treatment Download PDF

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CN113892908A
CN113892908A CN202111034804.XA CN202111034804A CN113892908A CN 113892908 A CN113892908 A CN 113892908A CN 202111034804 A CN202111034804 A CN 202111034804A CN 113892908 A CN113892908 A CN 113892908A
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change
sleep environment
insomnia
brain wave
sleep
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朱江涛
向文林
许立
陈可夫
向文明
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Wuhan Zdeer Technology Co Ltd
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    • A61B5/48Other medical applications
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • AHUMAN NECESSITIES
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
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    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides an environment monitoring method and device for insomnia treatment, which comprises the following steps: monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions; when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment; the method comprises the steps of detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be in a mode of increasing gradually layer by layer, influence factors of the insomnia patient during the sleep period can be reflected visually through monitoring of sound, temperature, light and motion conditions, the insomnia patient can be helped to master the sleep state of the insomnia patient after waking up, and after the factor of the insomnia patient is eliminated, the sleep quality of the insomnia patient is associated with the change of the sleep environment.

Description

Environment monitoring method and device for insomnia treatment
Technical Field
The invention relates to the field of insomnia treatment instruments, in particular to an environment monitoring method and device for insomnia treatment.
Background
Insomnia generally refers to a subjective experience of a patient that the sleep time and/or quality is not satisfied and affects day-to-day social functions, and is manifested by difficulty in sleeping (falling asleep for more than 30min), sleep maintenance disorder (wake times more than or equal to 2 times all night), early awakening, decreased sleep quality and decreased total sleep time (usually less than 6h), accompanied by day-to-day dysfunction, and the insomnia is classified according to the course of disease: the insomnia treatment method comprises the following steps of acute insomnia (the disease course is less than 1 month), subacute insomnia (the disease course is more than or equal to 1 month and less than 6 months) and chronic insomnia (the disease course is more than or equal to 6 months), the insomnia is divided into primary insomnia and secondary insomnia according to the etiology, the primary insomnia usually lacks clear etiology, or insomnia symptoms still remain after the etiology possibly causing the insomnia is eliminated, the types of the primary insomnia mainly comprise 3 types of psychophysiological insomnia, idiopathic insomnia and subjective insomnia, and the treatment method comprises psychotherapy, lifestyle adjustment, drug therapy and the like;
the insomnia symptom can be effectively relieved by analyzing reasons of poor sleep or low sleep quality through sleep monitoring and optimizing the sleep environment to recover the sleep quality to a normal level, for example, by controlling the temperature of a bedroom, reducing noise, light intensity and color temperature, playing brain wave audio, somatosensory vibration massage and the like, and the current insomnia therapeutic apparatus usually only emphasizes the improvement of physical therapy and does not have the function of improving the sleep environment.
SUMMARY OF THE PATENT FOR INVENTION
Aiming at the defects in the prior art, the invention provides an environment monitoring method and device for insomnia treatment, so as to help insomnia patients to improve the sleep environment of the insomnia patients.
According to a first aspect of the disclosed embodiments, a preferred embodiment of the present patent provides an environmental monitoring method for insomnia treatment, comprising:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
In an embodiment, the generating, when it is monitored that a sleep environment changes, report data including time information and intensity information of the environment change includes:
acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or combination of sound, temperature, illumination and motion signals;
when any one detection signal exceeds a preset value, recording the intensity data change of the detection signal along with the time change;
and storing the intensity data change of the detection signal along with the time change to a terminal.
In one embodiment, the detecting the response of the insomnia patient to the sleep environment change and determining the level of the response of the insomnia patient to the monitored sleep environment change, wherein the level of the response is set in a layer-by-layer increasing mode and comprises the following steps:
acquiring brain wave signals of the insomnia patients within the sleep environment change time period;
generating an analog signal of the change of the brain wave signal of the insomnia patient in the sleep environment change time period, wherein the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and comparing the brain wave signals in the sleep environment change time period with the analog signals to determine the degree of response of the brain wave signal change of the insomnia patient.
In one embodiment, the comparing the brain wave signals in the sleep environment change period with the analog signals to determine the level of response of the brain wave signal changes of the insomnia patient comprises:
counting the values of the brain wave signals and the analog signals at different moments in a sleep environment change period;
calculating a correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
According to a second aspect of embodiments of the present disclosure, there is provided an environmental monitoring device for insomnia treatment, comprising:
the comprehensive module is used for monitoring the sleep environment of the insomnia patient, and the monitoring content of the sleep environment comprises any one or combination of sound, temperature, illumination and movement conditions;
the system comprises a transmission module, a sleep environment monitoring module and a sleep environment monitoring module, wherein the transmission module is used for generating reported data when monitoring that the sleep environment changes, and the reported data comprises time information and intensity information of the environment change;
the detection module is used for detecting the reaction of the insomnia patient to the change of the sleep environment and determining the reaction degree grade of the insomnia patient to the monitored change of the sleep environment, wherein the reaction degree grade is set to be in a mode of increasing gradually layer by layer;
and the searching module is used for opening the reported data of the sleep environment change and searching the information source causing the sleep environment change.
In one embodiment, the transmission module includes:
the acquisition module is used for acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or a combination of sound, temperature, illumination and motion signals;
the storage module is used for recording the intensity data change of the detection signal along with the time change after any detection signal exceeds a preset value;
and the uploading module is used for storing the intensity data change of the detection signal along with the time change to the terminal.
In one embodiment, the detection module includes:
the acquisition module is used for acquiring the brain wave signals of the insomnia patients within the sleep environment change time period;
the analog module is used for generating an analog signal of brain wave signal change of the insomnia patient in the sleep environment change time period, and the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and the checking module is used for comparing the brain wave signals in the sleep environment change time period with the analog signals in a difference mode, and determining the degree of response of the brain wave signal change of the insomnia patient.
In one embodiment, the simulation module includes:
the statistical module is used for counting the numerical values of the brain wave signals and the analog signals at different moments in a sleep environment change time period;
the calculation module is used for calculating the correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and the determining module is used for comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
According to a third aspect of the disclosed embodiments, the present invention provides an environmental monitoring device for insomnia treatment, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
According to the technical scheme, the environment monitoring method and the environment monitoring device for insomnia treatment provided by the invention have the following beneficial effects: the monitoring of sound, temperature, illumination and movement conditions can intuitively reflect the influence factors of the insomnia patients during sleeping, help the insomnia patients to master the sleeping state of the insomnia patients after waking up, after the self factors of the insomnia patients are eliminated, the influence of the sleeping environment change on the insomnia patients can be reflected by correlating the sleeping quality of the insomnia patients with the sleeping environment change, data support can be provided for changing the sleeping environment of the insomnia patients by finding out the factors for changing the sleeping environment of the insomnia patients, after an information source causing the sleeping environment change is eliminated, the sleeping duration and the sleeping quality can be obviously promoted, and the monitoring method has an extremely important promotion effect on the rehabilitation of the insomnia patients.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to more clearly illustrate the patentable embodiments of the invention, reference will now be made to the appended drawings, which are briefly described as embodiments or as required in the prior art description. In all the drawings, the elements or parts are not necessarily drawn to actual scale.
FIG. 1 is a flow chart of an environmental monitoring method for insomnia treatment provided by the present invention;
FIG. 2 is a flowchart of step S102 of the environmental monitoring method for insomnia treatment according to the present invention;
FIG. 3 is a flowchart of step S103 of the environmental monitoring method for insomnia treatment according to the present invention;
FIG. 4 is a flowchart of step S303 of the environmental monitoring method for insomnia treatment according to the present invention;
FIG. 5 is a block diagram of an environmental monitoring device for insomnia treatment according to the present invention;
FIG. 6 is a block diagram of an analog module of the environmental monitoring device for insomnia treatment according to the present invention;
FIG. 7 is a block diagram of another environmental monitoring device for insomnia treatment according to the present invention.
Detailed Description
Embodiments of the patented technology of the present invention will be described in detail below with reference to the drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only used as examples, and the protection scope of the present invention is not limited thereby.
Fig. 1 is a flowchart of an environmental monitoring method for insomnia treatment according to the present invention, which is applied to an insomnia treatment terminal, and the terminal can display information such as pictures, videos, short messages, and WeChat. The terminal may be equipped with any terminal device having a display screen, such as a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like. The environmental monitoring method for insomnia treatment provided by the present embodiment, as shown in fig. 1, includes the following steps S101-S104:
in step S101, monitoring the sleep environment of the insomnia patient, wherein the monitored content of the sleep environment comprises any one or a combination of several of sound, temperature, light and motion conditions;
in step S102, when a change in sleep environment is monitored, report data is generated, where the report data includes time information and intensity information of the change in environment;
particularly, by monitoring sound, temperature, light and motion conditions, the influence factors of the insomnia patient during the sleep period can be intuitively reflected, and the insomnia patient can be helped to master the sleep state of the insomnia patient after waking up;
in step S103, detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response is set in a mode of increasing layer by layer;
specifically, after the factors of the insomnia patient are eliminated, the influence of the sleep environment change on the insomnia patient can be reflected by correlating the sleep quality of the insomnia patient with the sleep environment change;
in step S104, the reported data of the sleep environment change is opened, and an information source causing the sleep environment change is searched for;
particularly, by finding out factors for changing the sleep environment of the insomnia patients, data support can be provided for changing the sleep environment of the insomnia patients, and after an information source causing the change of the sleep environment is eliminated, the sleep duration and the sleep quality can be obviously promoted, so that the method has an extremely important promotion effect on the rehabilitation of the insomnia patients.
As shown in fig. 2, in step S102, when it is monitored that the sleep environment changes, report data is generated, where the report data includes time information and intensity information of the environment change, and includes:
in step S201, a detection signal of the monitored content of the sleep environment is obtained, where the detection signal includes any one or a combination of sound, temperature, light, and motion signals;
specifically, an acoustic sensor comprising a microphone, a microphone and the like can be adopted for monitoring sound, a temperature sensor can be adopted for monitoring temperature, a photosensitive sensor can be adopted for monitoring illumination, a vibration sensor, a gyroscope sensor and other equipment can be adopted for capturing motion signals, wherein the specific models of the acoustic sensor, the temperature sensor, the photosensitive sensor, the vibration sensor and the gyroscope sensor are not limited by the application, and the purpose of realizing the differential monitoring of the environmental conditions affecting the insomnia patients is achieved;
in step S202, when any one of the detection signals exceeds a preset value, recording the intensity data change of the detection signal along with the time change;
in step S203, the intensity data variation of the detection signal with time is saved to the terminal.
For example, the following steps are carried out: the preset value of the temperature condition is between 26 ℃ and 27 ℃, so that the change of the temperature from 26.5 ℃ to 26.7 ℃ cannot be recorded, and the change of the temperature from 27 ℃ to 27.5 ℃ can be recorded as the change of the sleep environment, and it is worth mentioning that any change of sound, temperature, illumination and movement can be recorded, for example, strong illumination appears in the latter half period of the temperature from 27 ℃ to 27.5 ℃, so that the strong illumination time period and the temperature rise time period are merged and stored;
in one embodiment, as shown in fig. 3, in step S103, the detecting the response of the insomnia patient to the change of the sleep environment and determining the level of the response of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response is set to be gradually increased layer by layer, includes:
in step S301, acquiring the brain wave signals of the insomnia patients within the sleep environment change time period;
specifically, DELTA brain waves (DELTA) appear only in deep sleep, THETA brain waves (THETA) appear in shallow sleep, alpha brain waves appear in early sleep or early wake (i.e., half-sleep and half-wake), the body is in a relaxed state and conscious and alert consciousness, BETA brain waves (BETA) appear in waking with concentration of effort, DELTA brain waves have an oscillation frequency of 0-4 Hz/sec, THETA brain waves have an oscillation frequency of 4-7 Hz/sec, alpha brain waves have an oscillation frequency of 8-13 Hz/sec, BETA brain waves have an oscillation frequency of 13-40 Hz/sec, the four brain waves mentioned above constitute a general arrangement of a brain map, and other brain waves exist, but under special conditions, external stimulation is desirable, and the like, which is the basis of the research of the environmental monitoring technology;
in step S302, generating an analog signal of the change of the brain wave signal of the insomnia patient within the sleep environment change period, the analog signal being identical to the brain wave signal before the sleep environment change period;
in step S303, comparing the brain wave signals within the sleep environment change time period with the analog signals, and determining a level of response of the change of the brain wave signals of the insomnia patient;
specifically, the analog signal can simulate the signal change rule of the next time period according to the brain wave signal change of the insomnia patient, for example, after the steady increase of alpha brain waves is detected in the early stage, the irregular brain wave signal change of 25-60 hz/s occurs, and the brain wave signal of 25-60 hz/s is different from the signal after the steady increase of alpha brain waves, so as to obtain the difference between the brain wave signal and the analog signal.
In one embodiment, as shown in fig. 4, in step S303, the comparing the brain wave signals within the sleep environment change period with the simulated signals to determine a level of response of the brain wave signal change of the insomnia patient includes:
in step S401, counting values of the brain wave signal and the analog signal at different times during a sleep environment change period;
specifically, the brain wave signals with changed sleeping environment have time length difference, and the brain wave signals and the analog signals with the same time interval in the time length range are selected to improve the effectiveness of numerical values, and generally, the more the number of the selected time in the time length range is, the higher the authenticity of the numerical values is;
in step S402, calculating a correlation value between the brain wave signal value and the analog signal value at each time within the sleep environment change period;
specifically, the application provides a simple correlation algorithm, comprising the following steps: the method comprises the following steps: calculating the difference value between the brain wave signal value and the analog signal value at each moment in the sleep environment change time period; step two: calculating the sum of absolute values of difference values of all moments in the sleep environment change time period; step three: calculating the numerical value of the sum of the absolute values of the difference value apportioned at each moment in the sleep environment change time period to obtain the abnormal degree numerical value, and it is worth explaining that the correlation algorithm of the brain wave signal numerical value and the analog signal numerical value at each moment in the sleep environment change time period is not unique, and other correlation algorithms can be adopted for calculation;
in step S403, comparing the correlation value between the brain wave signal value and the analog signal value with a set value to obtain a reaction degree level;
specifically, the reaction degree grades at least comprise 3 grades of mild influence, severe influence and severe influence, wherein the mild influence represents that the difference value between the brain wave signal value and the analog signal value is small and does not greatly influence the sleep of the insomnia patient;
the severe influence represents that the difference value between the brain wave signal value and the analog signal value is large, and the sleep state of the insomnia patient is influenced;
the serious influence represents that the difference value between the brain wave signal value and the analog signal value is obvious, and the insomnia patient can wake up from the sleep.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
FIG. 5 is a block diagram of an environmental monitoring device for insomnia treatment, which may be implemented as part or all of an electronic device, either in software, hardware, or a combination thereof. As shown in fig. 5, the apparatus includes:
the comprehensive module 1 is used for monitoring the sleep environment of the insomnia patient, and the monitoring content of the sleep environment comprises any one or combination of a plurality of sound, temperature, illumination and motion conditions;
the transmission module 2 is used for generating reported data when monitoring that the sleep environment changes, wherein the reported data comprises time information and intensity information of the environment change;
the detection module 3 is used for detecting the reaction of the insomnia patient to the change of the sleep environment and determining the reaction degree grade of the insomnia patient to the monitored change of the sleep environment, wherein the reaction degree grade is set to be gradually increased layer by layer;
and the searching module 4 is used for opening the reported data of the sleep environment change and searching the information source causing the sleep environment change.
In the embodiment of the disclosure, by monitoring the sound, temperature, illumination and motion conditions, the influence factors of the insomnia patients during the sleep period can be reflected visually, the insomnia patients can master the sleep state of the insomnia patients after waking up, after the influence factors of the insomnia patients are eliminated, the influence of the sleep environment change on the insomnia patients can be reflected by associating the sleep quality of the insomnia patients with the sleep environment change, the data support can be provided for the sleep environment change of the insomnia patients by finding out the factor for changing the sleep environment of the insomnia patients, after an information source for changing the sleep environment is eliminated, the sleep duration and the sleep quality can be obviously promoted, and the important promotion effect is provided for the recovery of the insomnia patients.
In one embodiment, as shown in fig. 5, the transmission module 2 includes:
an obtaining module 21, configured to obtain a detection signal of the monitored content of the sleep environment, where the detection signal includes any one or a combination of sound, temperature, illumination, and motion signals;
the storage module 22 is used for recording the intensity data change of any detection signal along with the time change after the detection signal exceeds a preset value;
and the uploading module 23 is configured to store the intensity data change of the detection signal along with the time change to the terminal.
In an embodiment, as shown in fig. 5, the detection module 3 includes:
the acquisition module 31 is used for acquiring the brain wave signals of the insomnia patients within the sleep environment change time period;
the simulation module 32 is used for generating a simulation signal of brain wave signal change of the insomnia patient in the sleep environment change time period, wherein the simulation signal is consistent with the brain wave signal before the sleep environment change time period;
and the checking module 33 is configured to compare the brain wave signals within the sleep environment change time period with the analog signals, and determine a degree of response of the change of the brain wave signals of the insomnia patient.
In one embodiment, as shown in fig. 6, the simulation module 32 includes:
a counting module 321, configured to count values of the brain wave signal and the analog signal at different times within a sleep environment change time period;
a calculating module 322, configured to calculate a correlation value between the brain wave signal value and the analog signal value at each time in the sleep environment change time period;
and the determining module 323 is configured to compare the correlation value between the brain wave signal value and the analog signal value with a set value to obtain a reaction degree level.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The disclosed embodiment also provides an environment monitoring device for insomnia treatment, as shown in fig. 7, including:
a processor 101;
a memory 102 for storing instructions executable by the processor 101;
wherein the processor 101 is configured to:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
The processor 101 may be further configured to:
when the change of the sleep environment is monitored, report data is generated, wherein the report data comprises time information and intensity information of the change of the environment, and comprises the following steps:
acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or combination of sound, temperature, illumination and motion signals;
when any one detection signal exceeds a preset value, recording the intensity data change of the detection signal along with the time change;
and storing the intensity data change of the detection signal along with the time change to a terminal.
The processor 101 may be further configured to:
the method comprises the following steps of detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response is set to be gradually increased layer by layer, and the method comprises the following steps:
acquiring brain wave signals of the insomnia patients within the sleep environment change time period;
generating an analog signal of the change of the brain wave signal of the insomnia patient in the sleep environment change time period, wherein the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and comparing the brain wave signals in the sleep environment change time period with the analog signals to determine the degree of response of the brain wave signal change of the insomnia patient.
The processor 101 may be further configured to:
the step of comparing the brain wave signals in the sleep environment change time period with the analog signals to determine the degree of response of the brain wave signal change of the insomnia patient comprises the following steps:
counting the values of the brain wave signals and the analog signals at different moments in a sleep environment change period;
calculating a correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
FIG. 7 is a block diagram of another environment monitoring device for insomnia treatment provided by the present invention, which is suitable for an insomnia treatment terminal. For example, the terminal device may be equipped with a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.
The terminal device may include one or more of the following components: processing component 100, memory 102, communication component 110, input/output interface 120, power component 130, multimedia component 140, sensor component 150, and audio component 160. The processing component 100 generally controls overall operations of the terminal device, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing assembly 100 may include one or more processors 101 to execute instructions to perform all or part of the steps of the method described above. Further, the processing component 100 can include one or more modules that facilitate interaction between the processing component 100 and other components. For example, the processing component 100 may include a multimedia module to facilitate interaction between the multimedia component 140 and the processing component 100.
The memory 102 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, contact data, phonebook data, messages, pictures, videos, etc. The memory 102 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. The power supply component 130 provides power to the various components of the terminal device. The power components 130 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the terminal device.
The multimedia component 140 comprises a screen providing an output interface between the terminal device and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 140 includes a front facing camera and/or a rear facing camera. When the terminal device is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability. The audio component 160 is configured to output and/or input audio signals. For example, the audio component 160 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 102 or transmitted via the communication component 110. In some embodiments, the audio assembly 160 further includes a speaker for outputting audio signals. The input/output interface 120 provides an interface between the processing component 100 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button. The sensor assembly 150 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor assembly 150 may detect the open/closed status of the terminal device, the relative positioning of the components, such as the display and keypad of the terminal device, the sensor assembly 150 may also detect a change in the position of the terminal device or a component of the terminal device, the presence or absence of user contact with the terminal device, orientation or acceleration/deceleration of the terminal device, and a change in the temperature of the terminal device. The sensor assembly 150 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 150 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 150 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 110 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication part 110 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 110 further includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the terminal device may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as the memory 102, comprising instructions executable by the processor 101 of the terminal device to perform the above-described method. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions therein which, when executed by a processor 101 of a terminal device, enable the terminal device to assist an insomniac in a method of improving a sleep environment of the terminal device, the method comprising:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
In an embodiment, the generating, when it is monitored that a sleep environment changes, report data including time information and intensity information of the environment change includes:
acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or combination of sound, temperature, illumination and motion signals;
when any one detection signal exceeds a preset value, recording the intensity data change of the detection signal along with the time change;
and storing the intensity data change of the detection signal along with the time change to a terminal.
In one embodiment, the detecting the response of the insomnia patient to the sleep environment change and determining the level of the response of the insomnia patient to the monitored sleep environment change, wherein the level of the response is set in a layer-by-layer increasing mode and comprises the following steps:
acquiring brain wave signals of the insomnia patients within the sleep environment change time period;
generating an analog signal of the change of the brain wave signal of the insomnia patient in the sleep environment change time period, wherein the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and comparing the brain wave signals in the sleep environment change time period with the analog signals to determine the degree of response of the brain wave signal change of the insomnia patient.
In one embodiment, the comparing the brain wave signals in the sleep environment change period with the analog signals to determine the level of response of the brain wave signal changes of the insomnia patient comprises:
counting the values of the brain wave signals and the analog signals at different moments in a sleep environment change period;
calculating a correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
In the description of the present patent application, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present patent. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above examples are only used to illustrate the technical solutions of the present invention, but not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the modifications or substitutions do not make the essence of the corresponding technical solution depart from the scope of the technical solutions of the embodiments of the patent of the present invention, and the technical solutions are all covered in the claims and the specification of the patent of the present invention.

Claims (9)

1. An environmental monitoring method for insomnia treatment, comprising:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
2. The method of claim 1, wherein generating report data when a sleep environment change is monitored, the report data including time information and intensity information of the environment change comprises:
acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or combination of sound, temperature, illumination and motion signals;
when any one detection signal exceeds a preset value, recording the intensity data change of the detection signal along with the time change;
and storing the intensity data change of the detection signal along with the time change to a terminal.
3. The method of claim 1, wherein the detecting the insomnia patient's response to the change in sleep environment and determining the level of the insomnia patient's response to the monitored change in sleep environment, wherein the level of the response is set in a layer-by-layer increasing manner, comprises:
acquiring brain wave signals of the insomnia patients within the sleep environment change time period;
generating an analog signal of the change of the brain wave signal of the insomnia patient in the sleep environment change time period, wherein the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and comparing the brain wave signals in the sleep environment change time period with the analog signals to determine the degree of response of the brain wave signal change of the insomnia patient.
4. The method according to claim 3, wherein the differentially comparing the brain wave signals during the sleep environment change period with the simulated signals to determine the level of response of the brain wave signal changes of the insomnia patient comprises:
counting the values of the brain wave signals and the analog signals at different moments in a sleep environment change period;
calculating a correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
5. An environmental monitoring device for insomnia treatment, comprising:
the comprehensive module is used for monitoring the sleep environment of the insomnia patient, and the monitoring content of the sleep environment comprises any one or combination of sound, temperature, illumination and movement conditions;
the system comprises a transmission module, a sleep environment monitoring module and a sleep environment monitoring module, wherein the transmission module is used for generating reported data when monitoring that the sleep environment changes, and the reported data comprises time information and intensity information of the environment change;
the detection module is used for detecting the reaction of the insomnia patient to the change of the sleep environment and determining the reaction degree grade of the insomnia patient to the monitored change of the sleep environment, wherein the reaction degree grade is set to be in a mode of increasing gradually layer by layer;
and the searching module is used for opening the reported data of the sleep environment change and searching the information source causing the sleep environment change.
6. The apparatus of claim 5, wherein the transmission module comprises:
the acquisition module is used for acquiring a detection signal of the monitoring content of the sleep environment, wherein the detection signal comprises any one or a combination of sound, temperature, illumination and motion signals;
the storage module is used for recording the intensity data change of the detection signal along with the time change after any detection signal exceeds a preset value;
and the uploading module is used for storing the intensity data change of the detection signal along with the time change to the terminal.
7. The apparatus of claim 5, wherein the detection module comprises:
the acquisition module is used for acquiring the brain wave signals of the insomnia patients within the sleep environment change time period;
the analog module is used for generating an analog signal of brain wave signal change of the insomnia patient in the sleep environment change time period, and the analog signal is consistent with the brain wave signal before the sleep environment change time period;
and the checking module is used for comparing the brain wave signals in the sleep environment change time period with the analog signals in a difference mode, and determining the degree of response of the brain wave signal change of the insomnia patient.
8. The apparatus of claim 7, wherein the simulation module comprises:
the statistical module is used for counting the numerical values of the brain wave signals and the analog signals at different moments in a sleep environment change time period;
the calculation module is used for calculating the correlation value of the brain wave signal value and the analog signal value at each moment in the sleep environment change time period;
and the determining module is used for comparing the correlation value of the brain wave signal value and the analog signal value with a set value to obtain a reaction degree grade.
9. An environmental monitoring device for insomnia treatment, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
monitoring the sleep environment of the insomnia patient, wherein the monitoring content of the sleep environment comprises any one or combination of sound, temperature, light and motion conditions;
when the change of the sleep environment is monitored, generating reported data, wherein the reported data comprises time information and intensity information of the change of the environment;
detecting the response of the insomnia patient to the change of the sleep environment, and determining the level of the response degree of the insomnia patient to the monitored change of the sleep environment, wherein the level of the response degree is set to be gradually increased layer by layer;
and opening the reported data of the sleep environment change, and searching an information source causing the sleep environment change.
CN202111034804.XA 2021-09-04 2021-09-04 Environment monitoring method and device for insomnia treatment Pending CN113892908A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115137315A (en) * 2022-09-06 2022-10-04 深圳市心流科技有限公司 Sleep environment scoring method, device, terminal and storage medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103228203A (en) * 2010-12-03 2013-07-31 皇家飞利浦电子股份有限公司 Sleep disturbance monitoring apparatus

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103228203A (en) * 2010-12-03 2013-07-31 皇家飞利浦电子股份有限公司 Sleep disturbance monitoring apparatus

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115137315A (en) * 2022-09-06 2022-10-04 深圳市心流科技有限公司 Sleep environment scoring method, device, terminal and storage medium
CN115137315B (en) * 2022-09-06 2022-12-09 深圳市心流科技有限公司 Sleep environment scoring method, device, terminal and storage medium

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