Sleep intervention control method and device of nerve regulation and control equipment and storage medium

Abstract

The invention relates to a sleep intervention control method and device of nerve regulation and control equipment and a storage medium, and belongs to the technical field of sleep aiding device.The method comprises the steps that in response to a trigger instruction that a target object wears the nerve regulation and control equipment, an electroencephalogram detection device of the nerve regulation and control equipment is controlled to operate; when the first electroencephalogram signal fed back by the electroencephalogram detection device indicates that the target object is in the sleep state, a first illumination device of the nerve regulation and control equipment is controlled to operate; when a second electroencephalogram signal fed back by the electroencephalogram detection device meets a set condition, the operation parameters of the first illumination device are adjusted.

Description

Technical Field

[0001] This disclosure relates to the technical field of sleep aid devices, and more specifically, to a sleep intervention control method, apparatus, and storage medium for a neuromodulation device. Background Technology

[0002] With the fast pace of modern life, sleep problems have become a significant factor affecting people's physical and mental health. Currently, existing sleep aids typically assess sleep status by monitoring physiological signals such as brain waves and heart rate, and then provide non-invasive interventions accordingly. However, these devices primarily influence sleep indirectly by adjusting environmental parameters (such as temperature, humidity, and sound), resulting in a relatively weak sleep-aiding effect. Summary of the Invention

[0003] One objective of this disclosure is to provide a new technical solution for sleep intervention control using neuromodulation devices.

[0004] According to a first aspect of this disclosure, a sleep intervention control method for a neuromodulation device is provided, the method comprising:

[0005] In response to a trigger command from the target subject wearing the neuromodulation device, the operation of the EEG detection device of the neuromodulation device is controlled;

[0006] When the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, the first light device of the neuromodulation device is controlled to operate.

[0007] When the second EEG signal fed back by the EEG detection device meets the set conditions, the operating parameters of the first illumination device are adjusted.

[0008] Optionally, the neuromodulation device has a sleep induction mode; the step of controlling the operation of the EEG detection device of the neuromodulation device in response to a trigger command from the target subject wearing the neuromodulation device includes:

[0009] In response to a trigger command from the target subject wearing the neuromodulation device, the neuromodulation device is set to enter the sleep induction mode;

[0010] In the sleep induction mode, the operation of the second light source and the electroencephalogram (EEG) detection device of the neuromodulation device is controlled; wherein the light intensity output by the second light source is less than the light intensity output by the first light source.

[0011] Optionally, before controlling the first illumination device of the neuromodulation device to operate when the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, the method further includes:

[0012] Acquire the first EEG signal fed back by the EEG detection device;

[0013] Determine whether the signal strength of the first EEG signal tends towards a first trend;

[0014] When the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, controlling the operation of the first light device of the neuromodulation device includes:

[0015] When the first EEG signal fed back by the EEG detection device tends to a first set trend, it is determined that the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, and the first light device of the neuromodulation device is controlled to operate.

[0016] Optionally, before adjusting the operating parameters of the first illumination device when the second EEG signal fed back by the EEG detection device meets the set conditions, the method further includes:

[0017] Acquire the second EEG signal fed back by the EEG detection device;

[0018] Based on the sampling period corresponding to the second EEG signal, multiple signal time segments with a first set duration are obtained;

[0019] The signal timing segment is divided into multiple first timing segments according to a set interval duration;

[0020] Based on the feature information of the first time segment in the signal timing segment, a second time segment that meets the set features among multiple first time segments is determined and used as a deep sleep segment;

[0021] When the second EEG signal fed back by the EEG detection device meets the set conditions, adjusting the operating parameters of the first illumination device includes:

[0022] When the duration of the deep sleep segment accounts for a proportion of the duration of the signal timing segment that is lower than a first set ratio, it is determined that the second EEG signal fed back by the EEG detection device meets the set conditions, and the operating parameters of the first illumination device are adjusted.

[0023] Optionally, the feature information of the first timing segment includes signal frequency and signal amplitude; the set feature includes the signal frequency being within a set frequency range and the signal amplitude being greater than or equal to a set amplitude.

[0024] Optionally, before adjusting the operating parameters of the first illumination device, the following steps are included:

[0025] Determine whether the proportion of the duration of the deep sleep segment in the duration of the signal timing segment exceeds a second preset ratio;

[0026] When the proportion of the duration of the deep sleep segment to the duration of the signal timing segment exceeds a second preset ratio, the operating power of the first illumination device is determined.

[0027] Adjusting the operating parameters of the first illumination device includes:

[0028] When the operating power of the first lighting device is at the set lower limit value, the operating time of the first lighting device is shortened by a third set time.

[0029] When the operating power of the first lighting device is higher than the lower power limit, the operating power of the first lighting device is reduced by a set intensity.

[0030] Optionally, the neural modulation device has a calibration mode; the method further includes:

[0031] In response to a calibration command from the target subject wearing the neuromodulation device, the EEG detection device of the neuromodulation device is controlled to operate independently.

[0032] The third EEG signal of the target object is obtained through the EEG detection device.

[0033] Based on the sleep characteristics of the target object reflected by the third EEG signal, the initial power and initial duration of the first illumination device of the neuromodulation device are set.

[0034] According to a second aspect of this disclosure, a sleep intervention control device for a neuromodulation device is also provided, the device comprising:

[0035] A response module is used to control the operation of the EEG detection device of the neuromodulation device in response to a trigger command from the target object wearing the neuromodulation device.

[0036] The control module is used to control the operation of the first light device of the neuromodulation device when the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state;

[0037] The adjustment module is used to adjust the operating parameters of the first illumination device when the second EEG signal fed back by the EEG detection device meets the set conditions.

[0038] According to a third aspect of this disclosure, a sleep intervention control device for a neuromodulation device is also provided, comprising a memory for storing a computer program; the processor for executing the computer program to implement the method according to a first aspect of this disclosure.

[0039] According to a fourth aspect of this disclosure, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the method described according to a first aspect of this disclosure.

[0040] According to a fifth aspect of this disclosure, a computer program product is also provided, including a computer program that, when executed by a processor, implements the method described according to a first aspect of this disclosure.

[0041] One beneficial effect of this disclosure is that the sleep intervention control method of the neuromodulation device provided by the present invention can detect the brain signals of the target object through the brain electroencephalogram (EEG) detection device, and when the brain signals of the target object indicate that the target object is in a sleep state, the first illumination device is run to perform non-invasive intervention on the sleep of the target object. Under the premise of the first illumination device intervening in sleep, the brain signals of the target object are obtained through the brain electroencephalogram (EEG) detection device, so as to adjust the operating parameters of the first illumination device through the brain signals, effectively improving the accuracy of the neuromodulation device in intervening in the sleep of the target object, thereby achieving the purpose of improving the sleep aid effect.

[0042] Other features and advantages of the embodiments of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0043] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments of the present disclosure and, together with their description, serve to explain the principles of the embodiments of the present disclosure.

[0044] Figure 1 This is a schematic diagram of the structural composition of a neuromodulation device according to one embodiment;

[0045] Figure 2 This is a flowchart illustrating a sleep intervention control method using a neuromodulation device according to one embodiment;

[0046] Figure 3 This is a block diagram of a sleep intervention control device of a neuromodulation device according to one embodiment;

[0047] Figure 4 This is a schematic diagram of the hardware structure of a sleep intervention control device of a neuromodulation device according to one embodiment. Detailed Implementation

[0048] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention.

[0049] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0050] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0051] In all the examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0052] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0053] <System Implementation Example>

[0054] Figure 1 This is a schematic diagram of the structural composition of a neuromodulation device according to one embodiment. Figure 1 As shown, the neuromodulation device 100 may include a controller 10, an electroencephalogram (EEG) detection device 20, a first illumination device 30, and a second illumination device 40. Here, the controller 10 may be a sleep intervention control device of the neuromodulation device.

[0055] The above-mentioned EEG detection device 20 can be an EEG sampling module, which has a multi-channel dry electrode EEG sensor to collect EEG signals from the target subject wearing the neuromodulation device 100.

[0056] The first illumination device 30 and the second illumination device 40 described above can be light source arrays composed of multiple independently addressable and controllable 810nm and 1064nm light sources. The first illumination device 30 and the second illumination device 40 can be light source arrays composed of LED lamps or VCSEL laser diodes, and are not limited here. The first illumination device 30 and the second illumination device 40 can provide precise and uniform illumination to the whole brain or specific brain regions (such as the prefrontal cortex, parietal lobe, and occipital lobe). The controller 10 can precisely control the operating power and operating time of the first illumination device 30 and the second illumination device 40 through pulse width modulation (PWM).

[0057] The controller 10 can interact with the EEG detection device 20, the first illumination device 30, and the second illumination device 40 to control the operation of the EEG detection device 20, the first illumination device 30, and the second illumination device 40.

[0058] In the embodiments of this disclosure, the controller 10 memory stores a computer program that controls the controller 10 processor to operate according to a sleep intervention control method of a neuromodulation device according to any embodiment. Those skilled in the art can design the computer program based on the scheme of the embodiments of this disclosure. How the computer program controls the processor to operate is well known in the art and will not be described in detail here.

[0059] <Method Implementation>

[0060] Figure 2 This is a schematic flowchart of a sleep intervention control method using a neuromodulation device according to one embodiment. The implementing entity is, for example, a... Figure 1 Controller 10.

[0061] like Figure 2 As shown, the sleep intervention control method of the neuromodulation device in this embodiment may include the following steps S210 to S230:

[0062] Step S210: In response to the trigger command of the target subject wearing the neuromodulation device, control the operation of the EEG detection device of the neuromodulation device.

[0063] In this embodiment, when the target subject wears the neuromodulation device, the EEG detection device in the neuromodulation device operates, that is, the aforementioned EEG acquisition module begins to work, acquiring the target subject's EEG signals. The target subject here is generally a human or an animal that experiences sleep disorders, and is not limited to any particular species.

[0064] In this embodiment, the neuromodulation device has a sleep induction mode; step S210 may include the following steps S310 and S320:

[0065] Step S310: In response to the trigger command of the target subject wearing the neuromodulation device, the neuromodulation device is set to enter the sleep induction mode.

[0066] Step S320: In the sleep induction mode, control the operation of the second light source and the EEG detection device of the neuromodulation device; wherein the light intensity output by the second light source is less than the light intensity output by the first light source.

[0067] Step S220: When the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, the first light device of the neuromodulation device is controlled to operate.

[0068] In this embodiment, during the sleep induction mode, the second illumination device and the EEG detection device of the neuromodulation device operate simultaneously. The second illumination device can output continuous light waves with a wavelength of 850nm, acting on the prefrontal and frontal regions of the target subject, which helps to reduce the excitability of the target subject's sympathetic nervous system, promote relaxation and sleep, and further enhance the sleep-aiding effect of the neuromodulation device.

[0069] In some embodiments, prior to step S220, the method further includes the following steps S410 and S420:

[0070] Step S410: Obtain the first EEG signal fed back by the EEG detection device.

[0071] Step S420: Determine whether the signal strength of the first EEG signal tends to the first trend.

[0072] Based on this, step S220 may include the following step S430:

[0073] Step S430: When the first EEG signal fed back by the EEG detection device tends to the first set trend, it is determined that the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, and the first light device of the neuromodulation device is controlled to operate.

[0074] In this embodiment, the controller determines the frequency and amplitude changes of the first EEG signal. When the controller determines that the first EEG signal gradually changes from a high-frequency, low-amplitude waveform (such as a beta wave) in a waking state to a low-frequency, high-amplitude waveform (such as an alpha wave or a theta wave), it determines that the target object's EEG signal tends towards a first preset trend. When the first EEG signal fed back by the EEG detection device tends towards the first preset trend, the controller determines that the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, and controls the first light illumination device of the neuromodulation device to operate, so as to provide imperceptible intervention to help the target object fall asleep.

[0075] Step S230: When the second EEG signal fed back by the EEG detection device meets the set conditions, adjust the operating parameters of the first illumination device.

[0076] In this embodiment, the set conditions are used to measure whether the deep sleep of the target subject reflected by the second EEG signal meets the requirements of human sleep. That is, when the second EEG signal does not meet the set conditions, the first illumination device continues to operate according to the current operating parameters. When the second EEG signal meets the set conditions, the operating power and / or operating time of the first illumination device are adjusted to improve the sleep condition of the target subject.

[0077] In some embodiments, prior to step S230, the method further includes the following steps S510 to S540:

[0078] Step S510: Obtain the second EEG signal fed back by the EEG detection device.

[0079] Step S520: Based on the sampling period corresponding to the second EEG signal, obtain a signal time segment with a first set duration.

[0080] In some examples, the sampling period can be the period corresponding to the second EEG signal fed back by the EEG detection device. The first set duration can be 120 minutes. The signal timing segment can reflect the period corresponding to the second EEG signal being converted to 0-120 minutes and the second EEG signal being mapped to 0-120 minutes.

[0081] Step S530: Divide the signal timing segment into multiple first timing segments according to a set interval duration.

[0082] In this embodiment, the set interval duration can be 30 seconds, 1 minute, or other durations, and is not limited here.

[0083] Step S540: Based on the feature information of the first time segment in the signal timing segment, determine the second time segment that meets the set features among multiple first time segments, and use it as the deep sleep segment.

[0084] In some examples, the feature information of the first time segment can be the signal frequency of the EEG signal in the first time segment. The feature can be that the signal frequency is within 0.5-4Hz. Then, the second time segment can be the time segment with the signal frequency within 0.5-4Hz in all the first time segments of the signal time segment.

[0085] Based on this, step S230 may include the following step S550:

[0086] In step S550, when the proportion of the duration of the deep sleep segment in the duration of the signal timing segment is lower than the first set ratio, it is determined that the second EEG signal fed back by the EEG detection device meets the set conditions, and the operating parameters of the first illumination device are adjusted.

[0087] In some examples, the first set ratio is, for example, 20%, but this is not a limitation.

[0088] Step S550 can be as follows: when the proportion of the deep sleep segment in the total duration of multiple consecutive signal time segments is lower than a first preset ratio, determine that the second EEG signal fed back by the EEG detection device meets the preset conditions, and adjust the operating parameters of the first illumination device. The multiple consecutive signal time segments can be two, three, or five consecutive signal time segments, and are not limited here. For example, if there are three consecutive signal time segments, then these three signal time segments can correspond to 0-120min, 120min-240min, and 240min-360min.

[0089] In this embodiment, by determining the deep sleep segment, the sleep characteristics of the target object are converted into data to determine whether the duration of the target object's deep sleep meets the human sleep requirements, thereby providing data support for subsequent adjustments to the first illumination device.

[0090] In some embodiments, the feature information of the first timing segment includes signal frequency and signal amplitude; the set features include signal frequency within a set frequency range and signal amplitude greater than or equal to a set amplitude.

[0091] In some examples, the frequency range can be set to 0.5-4Hz, and the signal amplitude can be 75μV. That is, within the signal timing segment, time segments with a frequency range of 0.5-4Hz and a signal amplitude greater than or equal to 75μV are extracted, i.e., deep sleep segments. When the duration of this deep sleep segment exceeds 20% of the total signal timing segment duration, the first illumination device maintains its current operating parameters. When the duration of this deep sleep segment is less than 20% of the total signal timing segment duration, the controller adjusts the operating duration and / or operating power of the first illumination device; that is, the controller increases the operating duration of the first illumination device and / or increases its operating power.

[0092] In some examples, a first set duration of 120 minutes is used. Sleep staging algorithms, such as the proportion of delta band power in the EEG signal, are applied based on EEG signals to detect the proportion of deep sleep. Specifically, the second EEG signal of each time segment is divided and filtered for noise reduction at 30-second intervals, resulting in multiple first time segments. Then, a Fast Fourier Transform (FFT) algorithm is applied to each first time segment to identify and measure all Delta waves that meet the criteria of "signal frequency within 0.5-2Hz" and "signal amplitude ≥75μV," which are considered second time segments. Finally, these second time segments are accumulated. If the duration of this second time segment reaches or exceeds 20% of the total 30-second duration of the signal time segments (i.e., ≥6 seconds), then this second time segment is determined to be stage N3 deep sleep.

[0093] In some embodiments, prior to step S230, the method further includes the following steps S610 and S620:

[0094] Step S610: Determine whether the proportion of the duration of the deep sleep segment in the duration of the signal timing segment exceeds a second set ratio.

[0095] In this embodiment, the second set ratio is, for example, 40%, and is not limited here.

[0096] Step S620: When the proportion of the duration of the deep sleep segment to the duration of the signal timing segment exceeds a second preset ratio, the operating power of the first illumination device is determined.

[0097] Based on this, step S230 may include the following steps S630 and S640:

[0098] Step S630: When the operating power of the first illumination device is at the set lower limit value, the operating time of the first illumination device is shortened by a third set time.

[0099] Step S640: When the operating power of the first illumination device is higher than the lower power limit, the operating power of the first illumination device is reduced by a set intensity.

[0100] In this embodiment, the upper limit of the running time can be 20 minutes, the lower limit of the running time can be 20 minutes, and the third set duration can be 1 minute. The upper limit of the operating power can be 300 mW / cm², the lower limit of the operating power can be 150 mW / cm², and the set intensity can be 10 mW / cm². That is, when the operating power of the first lighting device reaches 150 mW / cm², the running time of the first lighting device is shortened by 1 minute. When the operating power of the first lighting device does not reach 150 mW / cm², the operating power is preferentially reduced by 10 mW / cm². In other words, by prioritizing the adjustment of the operating power and then adjusting the running time, the target object can be placed under a relatively stable lighting condition, further optimizing the sleep-aiding effect on the target object.

[0101] In some embodiments, the neural modulation device has a calibration mode; prior to step S210, the method further includes the following steps S710 to S730:

[0102] Step S710: In response to the calibration command of the target subject wearing the neuromodulation device, control the EEG detection device of the neuromodulation device to operate independently.

[0103] Step S720: Obtain the third EEG signal of the target subject through an EEG detection device.

[0104] Step S730: Based on the sleep characteristics of the target object reflected by the third EEG signal, set the initial power and initial duration of the first illumination device of the neuromodulation device.

[0105] In this embodiment, the neuromodulation device is in calibration mode for the first seven nights of its initial use. In calibration mode, the controller operates the EEG detection device independently, monitoring and recording only the target subject's natural N3 sleep percentage, i.e., the target subject's sleep characteristics. Using data from multiple consecutive nights, the controller calculates the target subject's average N3 sleep level—a personalized baseline—and sets the initial power and duration of the neuromodulation device's first illumination device based on this baseline. In other words, by setting the calibration mode, the comfort level of the target subject when using the neuromodulation device can be improved.

[0106] <Equipment Example 1>

[0107] Figure 3 This is a schematic diagram of a sleep intervention control device based on one embodiment of a neuromodulation device. Figure 3 As shown, the sleep intervention control device 300 of the neuromodulation device may include:

[0108] The response module 310 is used to control the operation of the EEG detection device of the neuromodulation device in response to the trigger command of the target object wearing the neuromodulation device.

[0109] The control module 320 is used to control the operation of the first illumination device of the neuromodulation device when the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state.

[0110] The adjustment module 330 is used to adjust the operating parameters of the first illumination device when the second EEG signal fed back by the EEG detection device meets the set conditions.

[0111] In some embodiments, the response module 310 is further configured to respond to a trigger command from the target object wearing the neuromodulation device, and set the neuromodulation device to enter a sleep induction mode; in the sleep induction mode, control the operation of the second illumination device and the EEG detection device of the neuromodulation device; wherein the light intensity output by the second illumination device is less than the light intensity output by the first illumination device.

[0112] In some embodiments, the sleep intervention control device 300 of the neuromodulation device further includes a trend determination module for acquiring a first EEG signal fed back by the EEG detection device and determining whether the signal strength of the first EEG signal tends to a first trend.

[0113] The control module 320 is also used to determine that the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state when the first EEG signal fed back by the EEG detection device tends to a first set trend, and to control the operation of the first light device of the neuromodulation device.

[0114] In some embodiments, the sleep intervention control device 300 of the neuromodulation device further includes a sleep segment determination module, which is used to acquire a second EEG signal fed back by the EEG detection device; obtain a signal time segment with a first set duration according to the sampling time period corresponding to the second EEG signal; divide the signal time segment into multiple first time segments according to a set interval duration; and determine a second time segment that meets the set characteristics among the multiple first time segments based on the feature information of the first time segments in the signal time segment, and use it as a deep sleep segment.

[0115] The adjustment module 330 is also used to determine that the second EEG signal fed back by the EEG detection device meets the set conditions when the proportion of the duration of the deep sleep segment in the duration of the signal timing segment is lower than the first set ratio, and to adjust the operating parameters of the first illumination device.

[0116] In some embodiments, the sleep intervention control device 300 of the neuromodulation device further includes a power determination module for determining whether the proportion of the duration of the deep sleep segment in the duration of the signal timing segment exceeds a second preset ratio; and when the proportion of the duration of the deep sleep segment in the duration of the signal timing segment exceeds the second preset ratio, determining the operating power of the first illumination device.

[0117] The adjustment module 330 is also used to shorten the operating time of the first lighting device by a third set time when the operating power of the first lighting device is at a set lower power limit; and to reduce the operating power of the first lighting device by a set intensity when the operating power of the first lighting device is higher than the lower power limit.

[0118] In some embodiments, the sleep intervention control device 300 of the neuromodulation device further includes a calibration module for controlling the EEG detection device of the neuromodulation device to operate independently in response to a calibration command from the target subject wearing the neuromodulation device; obtaining the third EEG signal of the target subject through the EEG detection device; and setting the initial power and initial duration of the first illumination device of the neuromodulation device based on the sleep characteristics of the target subject reflected by the third EEG signal.

[0119] The sleep intervention control device 300 of the neuromodulation device can be Figure 1 The controller 10 in the middle.

[0120] <Equipment Example 2>

[0121] Figure 4 This is a schematic diagram of the hardware structure of a sleep intervention control device for a neuromodulation device according to another embodiment.

[0122] like Figure 4As shown, the sleep intervention control device 400 of the neuromodulation device includes a processor 410 and a memory 420. The memory 420 is used to store an executable computer program, and the processor 410 is used to execute the method as described in any of the above method embodiments according to the control of the computer program.

[0123] The sleep intervention control device of this neuromodulation device can be Figure 1 The controller 10 in the middle.

[0124] Each module of the sleep intervention control device 300 of the above-mentioned neuromodulation device can be implemented by the processor 410 in this embodiment executing the computer program stored in the memory 420, or it can be implemented by other structures, which are not limited here.

[0125] This invention can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the invention.

[0126] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0127] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0128] The computer program instructions used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions. This electronic circuitry can execute the computer-readable program instructions to implement various aspects of the invention.

[0129] Various aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0130] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0131] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0132] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions. It will be known to those skilled in the art that implementation in hardware, implementation in software, and implementation using a combination of software and hardware are equivalent.

[0133] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, and are not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims

1. A sleep intervention and control method for a neuromodulation device, characterized in that, The method includes: In response to a trigger command from the target subject wearing the neuromodulation device, the operation of the EEG detection device of the neuromodulation device is controlled; When the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, the first light device of the neuromodulation device is controlled to operate. When the second EEG signal fed back by the EEG detection device meets the set conditions, the operating parameters of the first illumination device are adjusted.

2. The method according to claim 1, characterized in that, The neuromodulation device has a sleep induction mode; the step of controlling the operation of the EEG detection device of the neuromodulation device in response to a trigger command from the target subject wearing the neuromodulation device includes: In response to a trigger command from the target subject wearing the neuromodulation device, the neuromodulation device is set to enter the sleep induction mode; In the sleep induction mode, the operation of the second light source and the electroencephalogram (EEG) detection device of the neuromodulation device is controlled; wherein the light intensity output by the second light source is less than the light intensity output by the first light source.

3. The method according to claim 2, characterized in that, Before controlling the first illumination device of the neuromodulation device to operate when the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, the method further includes: Acquire the first EEG signal fed back by the EEG detection device; Determine whether the signal strength of the first EEG signal tends towards a first trend; When the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, controlling the operation of the first light device of the neuromodulation device includes: When the first EEG signal fed back by the EEG detection device tends to a first set trend, it is determined that the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state, and the first light device of the neuromodulation device is controlled to operate.

4. The method according to claim 1, characterized in that, Before adjusting the operating parameters of the first illumination device when the second EEG signal fed back by the EEG detection device meets the set conditions, the method further includes: Acquire the second EEG signal fed back by the EEG detection device; Based on the sampling period corresponding to the second EEG signal, a signal time segment with a first set duration is obtained; The signal timing segment is divided into multiple first timing segments according to a set interval duration; Based on the feature information of the first time segment in the signal timing segment, a second time segment that meets the set features among a plurality of the first time segments is determined and used as a deep sleep segment; When the second EEG signal fed back by the EEG detection device meets the set conditions, adjusting the operating parameters of the first illumination device includes: When the duration of the deep sleep segment accounts for a proportion of the duration of the signal timing segment that is lower than a first set ratio, it is determined that the second EEG signal fed back by the EEG detection device meets the set conditions, and the operating parameters of the first illumination device are adjusted.

5. The method according to claim 4, characterized in that, The characteristic information of the first timing segment includes signal frequency and signal amplitude; the set characteristics include the signal frequency being within a set frequency range and the signal amplitude being greater than or equal to a set amplitude.

6. The method according to claim 4, characterized in that, Before adjusting the operating parameters of the first illumination device, the following steps are included: Determine whether the proportion of the duration of the deep sleep segment in the duration of the signal timing segment exceeds a second preset ratio; When the proportion of the duration of the deep sleep segment to the duration of the signal timing segment exceeds a second preset ratio, the operating power of the first illumination device is determined. Adjusting the operating parameters of the first illumination device includes: When the operating power of the first lighting device is at the set lower limit value, the operating time of the first lighting device is shortened by a third set time. When the operating power of the first lighting device is higher than the lower power limit, the operating power of the first lighting device is reduced by a set intensity.

7. The method according to claim 1, characterized in that, The neuromodulation device has a calibration mode; the method further includes: In response to a calibration command from the target subject wearing the neuromodulation device, the EEG detection device of the neuromodulation device is controlled to operate independently. The third EEG signal of the target object is obtained through the EEG detection device. Based on the sleep characteristics of the target object reflected by the third EEG signal, the initial power and initial duration of the first illumination device of the neuromodulation device are set.

8. A sleep intervention control device for a neuromodulation system, characterized in that, The device includes: A response module is used to control the operation of the EEG detection device of the neuromodulation device in response to a trigger command from the target object wearing the neuromodulation device. The control module is used to control the operation of the first light device of the neuromodulation device when the first EEG signal fed back by the EEG detection device indicates that the target object is in a sleep state; The adjustment module is used to adjust the operating parameters of the first illumination device when the second EEG signal fed back by the EEG detection device meets the set conditions.

9. A sleep intervention control device for a neuromodulation system, characterized in that, The system includes a memory and a processor, the memory being used to store a computer program; the processor being used to execute the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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