Intelligent acousto-optic magnetic sleep treatment system and control method thereof

Abstract

The invention relates to the field of medical instruments, in particular to an intelligent acousto-optic magnetic sleep treatment system and a control method thereof. The method comprises the following steps: collecting physiological data of a patient in real time; reducing the illumination intensity of the phototherapy module to be below a first illumination intensity threshold value; the phototherapy module is used for dynamic photostimulation; sound waves output by the sound therapy module are adjusted to theta waves, and light output by the light therapy module is switched to warm-color low-frequency light; if the value of the SDNN index of the heart rate variability of the patient is not less than 50ms and the brain wave signal of the patient is beta wave, adjusting the sound wave output by the sound therapy module to alpha wave; if the brain wave signal of the patient is delta wave, reducing the sound intensity output by the sound therapy module to be lower than a sound intensity threshold value; if the brain wave signal of the patient is theta wave, the pulse frequency output by the magnetic therapy module is reduced to be lower than a second frequency threshold value. By adopting the method provided by the invention, the treatment effect of the acousto-optic magnetic sleep treatment system can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and more specifically, to an intelligent acousto-optic-magnetic sleep therapy system and a control method thereof. Background Art

[0002] When people suffer from insomnia at night, they experience decreased energy the next day, affecting their normal work and life. Existing devices for treating insomnia typically use sound therapy, light therapy, or magnetic therapy. Sound therapy is a type of medical or health device that regulates the human brain, electrophysiological system, or specific body parts through sound wave stimulation. Light therapy regulates the body's biological rhythms (circadian rhythms) and improves melatonin secretion by simulating natural sunlight or using light of specific wavelengths, intensities, and time, thereby helping patients fall asleep more easily, maintain sleep, and improve sleep structure. Magnetic therapy is a non-drug device that uses low-frequency pulsed magnetic fields or constant magnetic fields to act on the human brain or specific parts of the body to regulate nervous system activity, improve autonomic nervous balance, and promote the brain to enter a sleep state. This type of device is widely used in people with chronic insomnia, neurological disorders, anxiety-related sleep disorders, and other conditions. Although sound therapy, light therapy, or magnetic therapy can all treat insomnia, the treatment methods are relatively simple and do not utilize the three treatment devices to synergistically treat insomnia, resulting in poor treatment effects.

[0003] In order to solve the technical problem of poor treatment effect caused by a single treatment method, an acoustic, light and vibration insomnia treatment device has also appeared in the existing technology. This treatment device improves sleep through a combination of sound, light and vibration, but due to the lack of dynamic coordination and precise targeting, the treatment effect is still poor. Summary of the Invention

[0004] In order to solve the technical problem that the insomnia treatment equipment in the prior art has poor treatment effect, the present invention provides solutions in the following aspects.

[0005] In a first aspect, the present invention provides a control method for an intelligent acousto-optic-magnetic sleep therapy system, characterized in that the intelligent acousto-optic-magnetic sleep therapy system includes an acoustotherapy module, a light therapy module, and a magnetic therapy module. The control method includes an insomnia treatment mode, which includes:

[0006] Real-time collection of patients' physiological data, including heart rate, heart rate variability, brain wave signals, body movement amplitude, body posture and body movement frequency;

[0007] If the patient's heart rate is greater than a preset heart rate threshold, the light intensity of the phototherapy module is reduced to below a first light intensity threshold; if the patient's body movement frequency is greater than a preset first frequency threshold and the patient's heart rate is less than a preset heart rate threshold and the patient's heart rate variability is greater than a preset variability threshold, the phototherapy module is turned off; if the patient's body is in a static state for a period longer than a preset time threshold and the patient's heart rate is less than a preset heart rate threshold, dynamic light stimulation is performed using the phototherapy module; dynamic light stimulation refers to the light intensity output by the phototherapy module changing over time;

[0008] If the SDNN indicator value of the patient's heart rate variability is less than 50ms, the sound waves output by the sound therapy module are adjusted to theta waves, and the light output by the light therapy module is switched to warm low-frequency light, with the light intensity set to 1000-2000 lux; if the SDNN indicator value of the patient's heart rate variability is not less than 50ms and the patient's brain wave signal is beta wave, the sound waves output by the sound therapy module are adjusted to alpha waves; if the patient's brain wave signal is delta wave, the sound intensity output by the sound therapy module is reduced to below the sound intensity threshold;

[0009] If the patient's brain wave signal is a theta wave, the pulse frequency output by the magnetic therapy module is reduced to below the second frequency threshold.

[0010] Preferably, if the value of the SDNN indicator of the patient's heart rate variability is less than 50ms, the frequency f of the sound wave output by the sound therapy module is s The calculation expression is:

[0011] f s =0.15×S+1;

[0012] Where S represents the value of the SDNN indicator.

[0013] Preferably, the insomnia treatment mode further includes:

[0014] If the value of the SDNN indicator of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, the sound waves output by the sound therapy module are adjusted to alpha waves, and the light intensity output by the light therapy module is controlled to dynamic light intensity to simulate the natural circadian rhythm;

[0015] If the value of the SDNN indicator of the patient's heart rate variability is greater than 100ms, the sound wave output by the sound therapy module is controlled to be an alpha wave or a gamma wave with a frequency of 30-50Hz, and the light therapy module is controlled to output flashing blue light with a flashing frequency of 15-30Hz and a light intensity of 8000lux.

[0016] Preferably, if the value of the SDNN indicator of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, the calculation expression of the sound wave frequency output by the sound therapy module is:

[0017] f s =0.08×S+4;

[0018] Where S represents the value of the SDNN indicator.

[0019] Preferably, the control method further includes a time difference adjustment mode, which includes:

[0020] From 6:00 to 8:00 in the target time zone, the light therapy module is controlled to output blue light with a wavelength of 480nm and a light intensity of 5000-10000 lux;

[0021] From 18:00 to 20:00 in the target time zone, the light therapy module is controlled to output warm light, the wavelength of the output warm light is 580-630nm, and the light intensity is less than 200lux.

[0022] Preferably, the control method further includes an insomnia and sleep disorder intervention mode, including:

[0023] 1-2 hours before the patient falls asleep, the sound therapy module is controlled to play rain sounds, stream sounds, or white noise with a frequency of 20-200Hz, and the light therapy module is controlled to output warm light with an intensity of less than 300lux and a wavelength greater than 560nm;

[0024] Within 30 minutes after the patient wakes up in the morning, the light therapy module is controlled to continuously output blue light with an intensity of 10,000 lux for 20-30 minutes.

[0025] Preferably, the control method further includes a seasonal affective disorder management mode, which includes:

[0026] From 6:00 to 8:00 every day, the light therapy module is controlled to continuously output light with a light intensity of 5000-10000 lux and a wavelength of 480nm for 30 minutes; while the light therapy module outputs light, the sound therapy module is controlled to play natural sounds, which are the sounds of birds singing or the sound of morning breeze.

[0027] Preferably, the control method further includes a biological clock adjustment mode for shift workers, and the biological clock adjustment mode for shift workers includes:

[0028] During the night shift, the light therapy module is controlled to output red light with a wavelength less than 50 lux and a light intensity lower than the first light intensity threshold; the sound therapy module is controlled to play electronic music synchronously;

[0029] During daytime sleep, the sound therapy module is controlled to play white noise.

[0030] Preferably, the control method further includes a circadian rhythm reconstruction mode. In the circadian rhythm reconstruction mode, the calculation expression of the light intensity output by the phototherapy module is:

[0031]

[0032] Where, I l (t) is the light intensity output by the phototherapy module at time t, I0 represents the maximum light intensity, and T is half of the period;

[0033] The calculation expression of the sound intensity output by the sound therapy module is:

[0034]

[0035] Where, f s (t) represents the sound intensity output by the sound therapy module at time t.

[0036] In a second aspect, the present invention provides an intelligent acousto-optic-magnetic sleep therapy system, comprising:

[0037] A biosensor module is used to collect physiological data of the patient, including heart rate, heart rate variability, brain wave signals, body movement amplitude, body posture and body movement frequency;

[0038] Treatment modules, including sound therapy module, light therapy module and magnetic therapy module;

[0039] The control unit is connected to the biosensor module for collection and control, and is connected to the sound therapy module, the light therapy module and the magnetic therapy module, and is used to execute the control method of the intelligent sound, light and magnetic sleep therapy system of the present invention.

[0040] The beneficial effects of the present invention are as follows: the present invention adopts multimodal dynamic synergistic therapy to treat insomnia in patients, collects the patient's physiological data in real time during treatment, and adjusts the working parameters of the sound therapy module, light therapy module, and magnetic therapy module in real time based on the physiological data to help patients relax and sleep better; the method of the present invention is to accurately adjust the frequency and intensity of sound wave stimulation, light stimulation, and magnetic field stimulation according to the patient's physiological state to act on specific functional links of the nervous system, thereby achieving targeted therapeutic effects, and having strong targeting when treating insomnia, achieving precise intervention on patients, thereby greatly improving the therapeutic effect of the sound, light, and magnetic sleep therapy system. Compared with a single treatment method, through synergistic therapy, the average time it takes for users to fall asleep is shortened by 40%. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an illustrative and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0042] Figure 1 The figure schematically illustrates a control method of an intelligent acousto-optic-magnetic sleep therapy system according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram showing the structure of an acousto-optic-magnetic sleep therapy system according to an embodiment of the present invention;

[0044] Figure 3 FIG. 1 is a schematic diagram schematically showing the structure of a control unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0046] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0047] Example of control method of intelligent acousto-optic-magnetic sleep therapy system:

[0048] like Figure 1 As shown, the control method of the intelligent acousto-optic-magnetic sleep therapy system of the present invention is used to control the intelligent acousto-optic-magnetic sleep therapy system including an acousto-therapy module, a light therapy module, and a magnetic therapy module. The control method includes an insomnia treatment mode, which includes:

[0049] S101. Collecting physiological data of the patient, specifically: collecting physiological data of the patient in real time, the physiological data including heart rate, heart rate variability, brain wave signals, body movement amplitude, length of time the body is in a static state, and body movement frequency;

[0050] Heart rate and heart rate variability can be collected using a patch-type PPG heart rate sensor. Heart rate and heart rate variability can reflect the patient's autonomic nervous system activity and cardiovascular status. Heart rate variability can be used to detect stress levels and assess relaxation or tension. For example, an elevated heart rate indicates anxiety.

[0051] Brainwave signals can be collected using head-mounted EEG electrodes. There are three types of EEG signals: alpha, theta, and delta. These signals reflect brain activity, such as wakefulness, light sleep, and deep sleep. By collecting EEG signals, a patient's sleep stage, such as REM and non-REM, can be identified. It can also measure a patient's neurological excitability. For example, high-frequency beta waves in a patient's EEG signals indicate a high level of nervousness.

[0052] The body movement amplitude, body posture and body movement frequency can be collected using a three-axis accelerometer. The collected body movement amplitude, body posture and body movement frequency can be used to evaluate sleep quality and distinguish between wakefulness and sleep states. For example, if the patient moves frequently, it means that the patient may have interrupted sleep; within the preset time period, if the proportion of static time is large, it means that the patient is in a sleep state, and if the proportion of static time is small, it means that the patient is in an awake state.

[0053] In other embodiments, the collected physiological data may further include the patient's body posture.

[0054] S102. Adjust the working parameters of the light therapy module and the sound therapy module according to the heart rate, body movement frequency, and the duration of the body in a static state in the physiological data, specifically: if the patient's heart rate is greater than the preset heart rate threshold, reduce the light intensity of the light therapy module to below the first light intensity threshold; if the patient's body movement frequency is greater than the preset first frequency threshold and the patient's heart rate is less than the preset heart rate threshold and the patient's heart rate variability is greater than the preset variability threshold, turn off the light therapy module; if the patient's body is in a static state for a period of time greater than the preset time threshold and the patient's heart rate is less than the preset heart rate threshold, use the light therapy module for dynamic light stimulation; dynamic light stimulation refers to the change of the light intensity output by the light therapy module over time.

[0055] If the patient's heart rate is greater than the preset heart rate threshold, it means that the patient is anxious. By reducing the intensity of the light therapy module, stimulation of the sympathetic nerves can be avoided. If the patient's heart rate variability is less than the preset variability threshold, it means that the patient is under great stress and is in a tense state. By switching the light output by the light therapy module to warm, low-frequency light, the patient can be helped to relax. If the patient's body movement frequency is greater than the preset first frequency threshold, it may cause the light area of ​​the light therapy module to deviate from the target area, resulting in a decrease in or failure of the treatment effect. Pausing light therapy can prevent the treatment effect from being compromised and avoid wasting energy. In addition, it can prevent the light generated by the light therapy module from accidentally hitting the patient's sensitive areas, such as the eyes. If the patient's body is in a static state for a period of time greater than the preset time threshold, it indicates that the patient is sleeping for a long time. Dynamic light stimulation can help wake the patient up.

[0056] S103. Adjust the operating parameters of the sound therapy module and the light therapy module based on the SDNN indicator in the physiological data. Specifically, if the value of the SDNN indicator of the patient's heart rate variability is less than 50ms, adjust the sound waves output by the sound therapy module to θ waves, and switch the light output by the light therapy module to warm low-frequency light, with the light intensity set to 1000-2000 lux. If the value of the SDNN indicator of the patient's heart rate variability is not less than 50ms and the patient's brain wave signal is β waves, adjust the sound waves output by the sound therapy module to α waves. If the patient's brain wave signal is δ waves, reduce the sound intensity output by the sound therapy module to below the sound intensity threshold.

[0057] If the SDNN indicator of a patient's heart rate variability is less than 50ms, it indicates excessive sympathetic nervous system activity and suppressed autonomic nervous system function. By adjusting the sound waves output by the sound therapy module to theta waves, brain activity can be induced to enter a state of mild relaxation or sleep. Furthermore, non-contact autonomic nervous system regulation through sound wave stimulation can indirectly improve the SDNN indicator. If the patient's EEG signal is beta waves, it indicates overactivity of the brain. Alpha waves are associated with relaxation, quietness, and restful rest, and are commonly seen just before falling asleep or during meditation. By adjusting the sound waves output by the sound therapy module to alpha waves, the patient can gradually escape the tense state dominated by high-frequency beta waves. If the patient's EEG signal is delta waves, it indicates that the patient is in a deep sleep state. Lowering the sound therapy volume can prevent sleep interruptions.

[0058] In this embodiment, when the value of the SDNN indicator of the patient's heart rate variability is less than 50ms, the frequency f of the sound wave output by the sound therapy module is s The calculation expression is:

[0059] f s =0.15×S+1;

[0060] Where S represents the value of the SDNN indicator.

[0061] S104. Adjust the working parameters of the magnetic therapy module according to the patient's brain wave signal. Specifically, if the patient's brain wave signal is a θ wave, reduce the pulse frequency output by the magnetic therapy module to below the second frequency threshold.

[0062] The second frequency threshold may be 5 Hz.

[0063] If the patient's EEG signal is theta waves, it means that the patient's brain is in a state of light sleep, relaxation or meditation; applying low-frequency magnetic stimulation in this state will not interrupt the EEG rhythm and promote the synchronous discharge of brain nerves; it can prolong the theta wave-dominant state and avoid awakening the brain to enter a high-frequency beta wave state.

[0064] The present invention uses multimodal dynamic synergistic therapy to treat insomnia in patients. During treatment, the patient's physiological data is collected in real time, and the working parameters of the sound therapy module, light therapy module, and magnetic therapy module are adjusted in real time based on the physiological data to help patients relax and sleep better. The method of the present invention is to accurately adjust the frequency and intensity of sound wave stimulation, light stimulation, and magnetic field stimulation according to the patient's physiological state to act on specific functional links of the nervous system, thereby achieving targeted therapeutic effects. It has strong targeting when treating insomnia and achieves precise intervention on patients, thereby greatly improving the therapeutic effect of the sound, light, and magnetic sleep therapy system. Compared with single treatment methods, through synergistic therapy, users' average sleep time is shortened by 40%.

[0065] In one embodiment, the insomnia treatment mode further comprises:

[0066] S201. If the value of the SDNN indicator of the patient's heart rate variability is greater than or equal to 50 ms and less than or equal to 100 ms, adjust the sound waves output by the sound therapy module to alpha waves, and control the light intensity output by the light therapy module to a dynamic light intensity to simulate a natural circadian rhythm;

[0067] The value of the SDNN index of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, indicating that the patient's heart rate variability is at a moderate level and there is a certain amount of parasympathetic nerve activity, but there may still be mild disorders. By using alpha wave sound waves (relaxation rhythm) and dynamic light intensity (rhythm reconstruction), it helps to stabilize the sympathetic-parasympathetic nerve balance and further improve the patient's HRV level.

[0068] In this embodiment, when the value of the SDNN indicator of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, the calculation expression of the sound wave frequency output by the sound therapy module is:

[0069] f s =0.08×S+4;

[0070] Where S represents the value of the SDNN indicator.

[0071] S202. If the value of the SDNN indicator of the patient's heart rate variability is greater than 100ms, control the sound therapy module to output alpha waves or gamma waves with a frequency of 30-50Hz, and control the light therapy module to output flashing blue light with a flashing frequency of 15-30Hz and a light intensity of 8000lux.

[0072] A patient's heart rate variability (SDNN) indicator greater than 100ms indicates good autonomic nervous system function, active parasympathetic nervous system, strong neuroregulatory capacity, and a relatively stable physical and mental state. Playing alpha sound waves can help provide mild relaxation, while flashing blue light stimulation can activate the central arousal system, moderately improving alertness and cognitive efficiency.

[0073] In one embodiment, the control method further includes a time difference adjustment mode, which includes:

[0074] S301. From 6:00 to 8:00 in the target time zone, control the light therapy module to output blue light with a wavelength of 480 nm and a light intensity of 5,000-10,000 lux.

[0075] S302. From 18:00 to 20:00 in the target time zone, control the light therapy module to output warm light, wherein the output warm light has a wavelength of 580-630 nm and a light intensity of less than 200 lux.

[0076] The jet lag adjustment mode in this embodiment can shorten the jet lag adaptation time by 30%-50% by adjusting the suprachiasmatic nucleus (SCN) to reset the biological clock.

[0077] In one embodiment, the control method further includes an insomnia and sleep disorder intervention mode, including:

[0078] S401. 1-2 hours before the patient falls asleep, control the sound therapy module to play rain sounds, stream sounds, or white noise with a frequency of 20-200 Hz, and control the light therapy module to output warm light, wherein the output warm light has an intensity of less than 300 lux and a wavelength greater than 560 nm.

[0079] S402. Within 30 minutes after the patient wakes up in the morning, control the light therapy module to continuously output blue light with an intensity of 10,000 lux for 20-30 minutes.

[0080] The insomnia and sleep disorder intervention model in this embodiment is applicable to insomnia patients who have difficulty falling asleep, awakening early, and fragmented sleep.

[0081] By using the insomnia and sleep disorder intervention model of this embodiment to treat insomnia patients, the PSQI (Pittsburgh Sleep Quality Index) of the patients can be improved by 60%-70%.

[0082] In one embodiment, the control method further includes a seasonal affective disorder management mode, which includes:

[0083] From 6:00 to 8:00 every day, the light therapy module is controlled to continuously output light with a light intensity of 5000-10000 lux and a wavelength of 480nm for 30 minutes; while the light therapy module outputs light, the sound therapy module is controlled to play natural sounds, which are the sounds of birds singing or the sound of morning breeze.

[0084] When using the sound, light and magnetic sleep therapy system to treat insomnia in patients, the seasonal affective disorder management model of this embodiment can increase the serotonin level of SAD patients by 20%-30%, thereby alleviating depression symptoms.

[0085] In one embodiment, the control method further includes a biological clock adjustment mode for shift workers, wherein the biological clock adjustment mode for shift workers includes:

[0086] S501. During the night shift, control the light therapy module to output red light with a wavelength less than 50 lux and a light intensity lower than a first light intensity threshold; control the sound therapy module to synchronously play electronic music;

[0087] S502: During daytime sleep, control the sound therapy module to play white noise.

[0088] By adopting the biological clock adjustment model for shift workers of this embodiment, the sleep efficiency of shift workers can be increased to over 85%.

[0089] In one embodiment, the control method further includes a circadian rhythm reconstruction mode. In the circadian rhythm reconstruction mode, the calculation expression of the light intensity output by the light therapy module is:

[0090]

[0091] Where, I l (t) is the light intensity output by the phototherapy module at time t, I0 represents the maximum light intensity, and T is half of the period;

[0092] The calculation expression of the sound intensity output by the sound therapy module is:

[0093]

[0094] Where, f s (t) represents the sound intensity output by the sound therapy module at time t. Alpha waves are the dominant brainwaves when you relax with your eyes closed, or are awake but unfocused. Sound therapy synchronizes alpha waves (8-12Hz), guiding relaxation and the wake-to-sleep transition. Light therapy simulates the light intensity curves of sunrise and sunset to reestablish circadian rhythms.

[0095] In one embodiment, the LF / HF value of the patient's heart rate variability can also be used to adjust the operating parameters of the light therapy module and the sound therapy module, including:

[0096] If LF / HF>3, the light intensity adjustment formula is:

[0097]

[0098] Where, I l Indicates the light intensity of the light therapy module.

[0099] Sound therapy strategy: white noise (20-2000Hz broadband) combined with breathing guidance (6 times / minute).

[0100] If LF / HF<0.5, then the light intensity I l The adjustment formula is:

[0101]

[0102] Sound therapy strategy: 40Hz gamma wave sound frequency to enhance neural synchronization.

[0103] Intelligent sound, light and magnetic sleep therapy system embodiment:

[0104] The present invention also provides an intelligent sound, light and magnetic sleep therapy system. Figure 2 As shown, the acousto-optic-magnetic sleep therapy system includes:

[0105] A biosensor module is used to collect physiological data of the patient, including heart rate, heart rate variability index, brain wave signal, body movement amplitude, body posture and body movement frequency;

[0106] Treatment modules, including sound therapy module, light therapy module and magnetic therapy module;

[0107] The control unit is connected to the biosensor module for acquisition and control, and is connected to the sound therapy module, the light therapy module and the magnetic therapy module, and is used to execute the control method of the intelligent sound, light and magnetic sleep therapy system described in the above embodiments.

[0108] The biosensor module includes a PPG heart rate sensor, EEG electrodes, and a body motion sensor. The PPG heart rate sensor is used to collect heart rate and heart rate variability indicators. The collected heart rate variability includes the SDNN indicator, the RMSSD indicator, and the LF / HF indicator. In this embodiment, the PPG heart rate sensor can be a patch-type PPG heart rate sensor. The EEG electrodes are used to collect brainwave signals. In this embodiment, the EEG electrodes are head-mounted EEG electrodes. The body motion sensor is used to collect body movement amplitude, body posture, and body movement frequency. In this embodiment, the body motion sensor can be a three-axis accelerometer.

[0109] In this embodiment, the sound therapy module has a built-in broadband sound wave generator (20Hz-20kHz) that supports white noise and resonant frequency (such as 40Hz gamma waves). The light therapy module includes an LED array that supports dynamic light intensity adjustment and flicker frequency adjustment; the wavelength range of the light generated by the LED array is 450-630nm, the light intensity adjustment range is 0-10000lux, and the flicker frequency adjustment range is 0.5-30Hz. The magnetic therapy module includes a focused TMS coil array that can target the thalamus and prefrontal region. The magnetic field intensity generated by the focused TMS coil array ranges from 0.1-2T.

[0110] As shown in 3 , the control unit includes a processor and a memory, wherein the memory stores computer program instructions. When the computer program instructions are executed by the processor, the control method of the intelligent acousto-optic-magnetic sleep therapy system described in the above embodiment is implemented.

[0111] The control unit also includes other components well known to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and will not be described in detail here.

[0112] In the description of this specification, "multiple" and "several" mean at least two, such as two, three or more, etc., unless otherwise clearly defined.

[0113] While several embodiments of the present invention have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, variations, and alternatives will occur to those skilled in the art without departing from the concept and spirit of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in practicing the present invention.

Claims

1. A control method for an intelligent acousto-optic-magnetic sleep therapy system, characterized in that: The intelligent sound, light and magnetic sleep therapy system includes a sound therapy module, a light therapy module and a magnetic therapy module. The control method includes an insomnia treatment mode, which includes: Real-time collection of patients' physiological data, including heart rate, heart rate variability, brain wave signals, body movement amplitude, body posture and body movement frequency; If the patient's heart rate is greater than a preset heart rate threshold, the light intensity of the phototherapy module is reduced to below a first light intensity threshold; if the patient's body movement frequency is greater than a preset first frequency threshold and the patient's heart rate is less than a preset heart rate threshold and the patient's heart rate variability is greater than a preset variability threshold, the phototherapy module is turned off; if the patient's body is in a static state for a period longer than a preset time threshold and the patient's heart rate is less than a preset heart rate threshold, dynamic light stimulation is performed using the phototherapy module; dynamic light stimulation refers to the light intensity output by the phototherapy module changing over time; If the SDNN indicator value of the patient's heart rate variability is less than 50ms, the sound waves output by the sound therapy module are adjusted to theta waves, and the light output by the light therapy module is switched to warm low-frequency light, with the light intensity set to 1000-2000 lux; if the SDNN indicator value of the patient's heart rate variability is not less than 50ms and the patient's brain wave signal is beta wave, the sound waves output by the sound therapy module are adjusted to alpha waves; if the patient's brain wave signal is delta wave, the sound intensity output by the sound therapy module is reduced to below the sound intensity threshold; If the patient's brain wave signal is a theta wave, the pulse frequency output by the magnetic therapy module is reduced to below the second frequency threshold.

2. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: If the SDNN index value of the patient's heart rate variability is less than 50ms, the frequency f of the sound wave output by the sound therapy module s The calculation expression is: f s =0.15×S+1; Where S represents the value of the SDNN indicator.

3. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: The insomnia treatment model also includes: If the value of the SDNN indicator of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, the sound waves output by the sound therapy module are adjusted to alpha waves, and the light intensity output by the light therapy module is controlled to dynamic light intensity to simulate the natural circadian rhythm; If the value of the SDNN indicator of the patient's heart rate variability is greater than 100ms, the sound wave output by the sound therapy module is controlled to be an alpha wave or a gamma wave with a frequency of 30-50Hz, and the light therapy module is controlled to output flashing blue light with a flashing frequency of 15-30Hz and a light intensity of 8000lux.

4. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 3, characterized in that: If the SDNN indicator value of the patient's heart rate variability is greater than or equal to 50ms and less than or equal to 100ms, the calculation expression for the sound wave frequency output by the sound therapy module is: f s =0.08×S+4; Where S represents the value of the SDNN indicator.

5. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: The control method further includes a time difference adjustment mode, which includes: From 6:00 to 8:00 in the target time zone, the light therapy module is controlled to output blue light with a wavelength of 480nm and a light intensity of 5000-10000 lux; From 18:00 to 20:00 in the target time zone, the light therapy module is controlled to output warm light, the wavelength of the output warm light is 580-630nm, and the light intensity is less than 200lux.

6. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: The control method also includes an insomnia and sleep disorder intervention mode, including: 1-2 hours before the patient falls asleep, the sound therapy module is controlled to play rain sounds, stream sounds, or white noise with a frequency of 20-200Hz, and the light therapy module is controlled to output warm light with an intensity of less than 300lux and a wavelength greater than 560nm; Within 30 minutes after the patient wakes up in the morning, the light therapy module is controlled to continuously output blue light with an intensity of 10,000 lux for 20-30 minutes.

7. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: The control method also includes a seasonal affective disorder management mode, which includes: From 6:00 to 8:00 every day, the light therapy module is controlled to continuously output light with a light intensity of 5000-10000 lux and a wavelength of 480nm for 30 minutes; while the light therapy module outputs light, the sound therapy module is controlled to play natural sounds, which are the sounds of birds singing or the sound of morning breeze.

8. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to claim 1, characterized in that: The control method further includes a biological clock adjustment mode for shift workers, and the biological clock adjustment mode for shift workers includes: During the night shift, the light therapy module is controlled to output red light with a wavelength less than 50 lux and a light intensity lower than the first light intensity threshold; the sound therapy module is controlled to play electronic music synchronously; During daytime sleep, the sound therapy module is controlled to play white noise.

9. The control method of the intelligent acousto-optic-magnetic sleep therapy system according to any one of claims 1 to 8, characterized in that: The control method also includes a circadian rhythm reconstruction mode. In the circadian rhythm reconstruction mode, the calculation expression of the light intensity output by the phototherapy module is: Where, I l (t) is the light intensity output by the phototherapy module at time t, I0 represents the maximum light intensity, and T is half of the period; The calculation expression of the sound intensity output by the sound therapy module is: Where, f s (t) represents the sound intensity output by the sound therapy module at time t.

10. An intelligent sound, light and magnetic sleep therapy system, characterized in that: The acousto-optic-magnetic sleep therapy system comprises: A biosensor module is used to collect physiological data of the patient, including heart rate, heart rate variability, brain wave signals, body movement amplitude, body posture and body movement frequency; Treatment modules, including sound therapy module, light therapy module and magnetic therapy module; A control unit, which is connected to the biosensor module for collection and control, is connected to the sound therapy module, the light therapy module, and the magnetic therapy module, and is used to execute the control method of the intelligent sound, light, and magnetic sleep therapy system according to any one of claims 1 to 9.

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