Method, device, system and equipment for controlling phototherapy equipment and determining parameters

Abstract

The invention belongs to the field of biomedical treatment, and particularly relates to a method, a device, a system and equipment for controlling phototherapy equipment and determining parameters. The invention discloses a method for controlling phototherapy equipment. The method comprises the following steps: acquiring physiological data of a testee; the physiological data is used for reflecting the fatigue level of the testee, and determining a parameter value of a phototherapy working parameter corresponding to the fatigue level of the testee according to the physiological data, the working parameters comprise one or more of the following parameters: the illumination intensity change frequency, the illumination intensity and the component value of each spectrum in illumination, and the light of the phototherapy equipment is controlled according to the parameter values of the working parameters. According to the method, the current fatigue level of the tested person is determined by acquiring the physiological data of the tested person, the corresponding light parameters are set for different fatigue levels, light can be adjusted in real time after the fatigue levels of the tested person are determined, and therefore the effect of relieving fatigue is achieved.

Description

Technical Field

[0001] The present application belongs to the field of biomedicine, and in particular, relates to methods, devices, systems and equipment for controlling phototherapy equipment and determining parameters. Background Art

[0002] As an important part of the working environment, the light environment has a direct impact on the fatigue state of workers. Studies have shown that inappropriate lighting conditions can lead to visual fatigue, mood swings, distraction and other problems, which in turn aggravate workers' fatigue. After working in a monotonous and high-intensity working environment for a long time, workers are often prone to fatigue problems, which not only affects work efficiency, but may also cause long-term damage to workers' physical and mental health. Therefore, how to alleviate workers' fatigue by improving the light environment has become an important research topic in the current industrial lighting field. Summary of the invention

[0003] The purpose of this application is to provide a method, device, system and equipment for controlling phototherapy equipment and determining parameters, which can dynamically adjust the light in real time and relieve the fatigue of the staff.

[0004] In a first aspect, an embodiment of the present application provides a method for controlling a phototherapy device, the method comprising:

[0005] Acquiring physiological data of the subject; the physiological data is physiological data used to reflect the fatigue level of the subject;

[0006] Determining parameter values ​​of light therapy working parameters corresponding to the fatigue level of the subject according to the physiological data, the working parameters including one or more of the following: light intensity change frequency, light intensity, and component values ​​of each spectrum in the light;

[0007] The light of the light therapy device is controlled according to the parameter value of the operating parameter.

[0008] In a possible implementation manner of the first aspect, the method further includes:

[0009] Obtain the light intensity of each spectrum emitted by the LED light array;

[0010] The constant current required by the LED light-emitting array is adjusted according to the light intensity to change the light intensity of the LED light-emitting array and the component values ​​of each spectrum in the light.

[0011] In a possible implementation of the first aspect, the physiological data is transmitted to a cloud server through a 5G module, and a light therapy working parameter corresponding to the fatigue level of the subject is determined according to the physiological data, including:

[0012] Sending the physiological data to a cloud server, the cloud server is used to determine the parameter value of the working parameter of the light therapy corresponding to the fatigue level of the subject according to the physiological data;

[0013] Receive parameter values ​​of phototherapy working parameters corresponding to the fatigue level of the subject from the cloud server.

[0014] In a possible implementation manner of the first aspect, sending the physiological data to a cloud server includes:

[0015] The physiological data is sent to the cloud server through the 5G module.

[0016] In a second aspect, an embodiment of the present application provides a parameter determination method, including:

[0017] Acquiring physiological data of the subject from the control module;

[0018] determining the fatigue level of the subject according to the physiological data;

[0019] Determining parameter values ​​of working parameters of the light therapy according to the fatigue level of the subject, wherein the working parameters include one or more of the following: the frequency of light intensity change, the light intensity, and the component values ​​of each spectrum in the light;

[0020] The parameter value of the operating parameter is sent to the lighting control unit.

[0021] In a possible implementation of the second aspect, the physiological data includes: electroencephalogram data and electrocardiogram data, and the physiological data of the subject is obtained from the signal acquisition board, including:

[0022] Acquiring physiological signals of the subject, wherein the physiological signals include: electroencephalogram signals and electrocardiogram signals;

[0023] Remove clutter and electrooculogram signals from the EEG signal to obtain EEG data;

[0024] The electrocardiogram signal is subjected to power frequency interference removal, baseline drift removal, and clutter removal to obtain electrocardiogram data.

[0025] In a possible implementation of the second aspect, the physiological data includes electroencephalogram data and electrocardiogram data, and determining the fatigue level of the subject according to the physiological data in combination with a classification algorithm includes:

[0026] Extracting EEG characteristic data and ECG characteristic data from the EEG data and ECG data respectively;

[0027] The EEG data and ECG data features are input into the KNN algorithm to determine the fatigue level of the subject.

[0028] In a possible implementation of the second aspect, extracting EEG feature data and ECG feature data from the EEG data and ECG data respectively includes:

[0029] Determine EEG spectrum data and ECG spectrum data according to the EEG data and ECG data in combination with fast Fourier transform;

[0030] Based on the EEG spectrum data and the ECG spectrum data, EEG characteristic data and ECG characteristic data are determined.

[0031] In a third aspect, the present application further provides a device for controlling a phototherapy device, which is applied to a control module and includes: a first acquisition unit, a receiving unit, and a control unit;

[0032] The first acquisition unit is used to acquire physiological data of the subject; the physiological data is physiological data used to reflect the fatigue level of the subject;

[0033] The receiving unit is used to receive parameter values ​​of light therapy working parameters corresponding to the fatigue level of the subject determined according to the physiological data, wherein the working parameters include one or more of the following: light intensity change frequency, light intensity, and component values ​​of each spectrum in the light;

[0034] The control unit is used to control the light of the phototherapy device according to the parameter value of the working parameter.

[0035] In a fourth aspect, the present application further provides a parameter determination device, applied to a cloud server, comprising: a second acquisition unit, a processing unit, a determination unit, and a transmission unit;

[0036] The second acquisition unit is used to acquire the physiological data of the subject from the control module;

[0037] The processing unit is used to determine the fatigue level of the subject according to the physiological data;

[0038] The determination unit is used to determine the parameter value of the working parameter of the light therapy according to the fatigue level of the subject, and the working parameter includes one or more of the following: the frequency of light intensity change, the light intensity, and the component value of each spectrum in the light;

[0039] The transmission unit is used to send the parameter value of the working parameter to the lighting control module.

[0040] In a fifth aspect, the present application further provides a control system for a phototherapy device, characterized in that it comprises: a signal acquisition board, a phototherapy device, and a device for controlling the phototherapy device;

[0041] The signal acquisition board is used to collect physiological signals of the subject and transmit the physiological signals to the device for controlling the phototherapy equipment;

[0042] The device for controlling the phototherapy device is used to implement any of the above methods for controlling the phototherapy device;

[0043] The phototherapy device is used to perform phototherapy on the subject according to the value of the working parameter.

[0044] In a sixth aspect, the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electronic device implements any of the methods described above.

[0045] In a seventh aspect, the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and wherein the computer program implements any of the above-described methods when executed by an electronic device.

[0046] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0047] The present application determines the current fatigue level of the person being measured by acquiring the physiological data of the person being measured. Different fatigue levels are set with corresponding lighting parameters. After the fatigue level of the person being measured is determined, the lighting can be adjusted in real time to achieve the effect of relieving fatigue. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0049] Figure 1 A schematic diagram of the structure of the control system of the phototherapy device provided in this application;

[0050] Figure 2 A schematic flow chart of a method for controlling a phototherapy device provided in the present application;

[0051] Figure 3 A schematic diagram of a flow chart of an embodiment provided in this application;

[0052] Figure 4 A schematic diagram of a flow chart of an embodiment provided in this application;

[0053] Figure 5A flow chart of the parameter determination method provided in this application;

[0054] Figure 6 A schematic diagram of a flow chart of an embodiment provided in this application;

[0055] Figure 7 A schematic diagram of a flow chart of an embodiment provided in this application;

[0056] Figure 8 A schematic diagram of a flow chart of an embodiment provided in this application;

[0057] Fig. 9 A schematic diagram of the structure of a device for controlling a phototherapy device provided in the present application;

[0058] Fig.10 A schematic diagram of the structure of a parameter determination device provided in this application;

[0059] Fig.11 A schematic diagram of the structure of the electronic device provided in this application. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] Figure 1 This is a structural diagram of a control system of a phototherapy device provided by the present application, such as Figure 1 As shown, it includes: a signal acquisition board, a phototherapy device and a device for controlling the phototherapy device.

[0062] The signal acquisition board is used to collect physiological signals of the subject and transmit the physiological signals to the device for controlling the phototherapy equipment. It should be noted that the physiological signals include electroencephalogram signals and electrocardiogram signals.

[0063] The cloud server is used to determine the parameter value of the phototherapy working parameter corresponding to the fatigue level of the subject according to the acquired physiological data, and send the parameter value of the working parameter to the device for controlling the phototherapy equipment.

[0064] The device for controlling the phototherapy equipment is used to obtain physiological data and send the physiological data to a cloud server. After the physiological data is processed by the cloud server, parameter values ​​of the phototherapy working parameters corresponding to the fatigue level of the subject are obtained. The device for controlling the phototherapy equipment receives the parameter values ​​of the phototherapy working parameters corresponding to the fatigue level of the subject from the cloud server.

[0065] The phototherapy device is used to perform phototherapy on the subject according to the parameter value of the working parameter.

[0066] The present application will be described below with reference to specific embodiments.

[0067] The present application proposes a method for controlling a phototherapy device such as Figure 2 As shown, the specific steps of the method include:

[0068] S201, obtaining physiological data of a subject; the physiological data is physiological data used to reflect the fatigue level of the subject;

[0069] S202, determining a parameter value of a light therapy working parameter corresponding to the fatigue level of the subject according to the physiological data, wherein the parameter value of the working parameter includes one or more of the following: a frequency of light intensity change, a magnitude of light intensity, and a component value of each spectrum in the light;

[0070] S203, controlling the light of the phototherapy device with the parameter value of the working parameter.

[0071] It should be noted that the physiological data include but are not limited to EEG data and ECG data. For example, the fatigue level of the subject can also be reflected through physiological data such as the breathing rate of the subject and the elimination of carbon dioxide.

[0072] Exemplarily, the ECG data and EEG data of the person being measured are obtained, and the current physiological state of the person being measured, such as being energetic, slightly tired or severely tired, can be known based on the ECG data and EEG data of the person being measured. The currently appropriate lighting parameters are matched according to the current physiological state of the person being measured. For example, when the person being measured has been working for too long and feels extremely tired, the light intensity can be appropriately reduced or the warm light tones in the spectrum can be increased to alleviate the fatigue state of the person being measured.

[0073] The present application determines the current fatigue level of the person being measured by acquiring the physiological data of the person being measured. Different fatigue levels are set with corresponding lighting parameters. After the fatigue level of the person being measured is determined, the lighting can be adjusted in real time to achieve the effect of relieving fatigue.

[0074] In one embodiment that can be implemented in the present application, Figure 3 As shown, the method described in the present application also includes:

[0075] S301, obtaining the light intensity of each spectrum emitted by the LED light array;

[0076] S302, adjusting the constant current required by the LED light array according to the light intensity to change the light intensity of the LED light array and the component values ​​of each spectrum in the light.

[0077] It should be noted that the light used to relieve fatigue in this application uses three types of light, blue, orange and white light. The constant current required by the LED light array is adjusted according to the current light intensity of the three lights and the parameter values ​​of the determined working parameters, thereby changing the light intensity and spectral component values ​​of the three lights to achieve the purpose of adjusting the light. During the lighting process, the blue light intensity, orange light intensity and white light intensity emitted by the current LED light array are collected in real time, and the stability of any light intensity at any time is guaranteed through closed-loop feedback.

[0078] The present application realizes real-time monitoring of light through this method, and can adjust the spectral component value of the light at any time, thereby achieving the effect of light therapy.

[0079] It should be noted that the physiological data described in this application is transmitted to the cloud server through the 5G module. The 5G module has the characteristics of low latency and high bandwidth, which not only improves the sampling rate and transmission rate of EEG signals and ECG signals, but also can meet the concurrent transmission of multiple users, and can upload the physiological data of multiple subjects at the same time.

[0080] In one embodiment that can be implemented in the present application, Figure 4 As shown, the S202 specifically includes:

[0081] S401, sending the physiological data to a cloud server, wherein the cloud server is used to determine a parameter value of a working parameter of the light therapy corresponding to the fatigue level of the subject according to the physiological data;

[0082] S402, receiving parameter values ​​of working parameters of light therapy corresponding to the fatigue level of the subject from the cloud server.

[0083] It should be noted that the cloud server will generate a set of parameter values ​​for light therapy working parameters based on the user's current fatigue level. The parameter values ​​of the working parameters include the intensity of light therapy (such as brightness level), color (such as blue light promotes alertness, warm light promotes relaxation), duration (such as how long each stimulation lasts), frequency (such as how often the stimulation occurs), etc.

[0084] For example, assuming that the current user is Xiao Li, Xiao Li's physiological data is sent to the cloud server in real time. According to Xiao Li's physiological data, it is determined that Xiao Li is in a state of moderate fatigue after 9 o'clock in the evening. The cloud server will send the corresponding parameter values ​​of the light therapy working parameters to the control module according to Xiao Li's fatigue state. For example, color: warm orange-yellow light, intensity: medium brightness (about 30% maximum brightness), duration: 5 minutes each time, frequency: once every half hour until the user falls asleep or stops manually. After receiving the above parameters, the control module will automatically adjust the connected light therapy equipment to the corresponding settings at the preset time to help Xiao Li relax, relieve fatigue, and prepare for high-quality sleep.

[0085] The method of the present application detects the physiological data of the person being measured in real time, and adjusts the ambient lighting in real time according to the current physical condition of the person being measured.

[0086] In addition, this application also proposes a parameter determination method such as Figure 5 As shown, it is applied to the cloud server, and the specific steps include:

[0087] S501, obtaining the physiological data of the subject from the control module;

[0088] S502, determining the fatigue level of the subject according to the physiological data;

[0089] S503, determining parameter values ​​of working parameters of the light therapy according to the fatigue level of the subject, wherein the parameter values ​​of the working parameters include one or more of the following: the frequency of light intensity change, the light intensity, and the component values ​​of each spectrum in the light;

[0090] S504: Send the parameter value of the working parameter to the lighting control unit.

[0091] It should be noted that the fatigue level can be a continuous value (such as a fatigue index) or a discrete value (such as "no fatigue", "mild fatigue", "moderate fatigue", "severe fatigue").

[0092] The present application uses this method to adjust the light intensity of the light and the component values ​​of each spectrum in the light in real time, which can effectively help the person being tested relieve fatigue.

[0093] In one embodiment that can be implemented in the present application, Figure 6 As shown, the physiological data includes: EEG data and ECG data, and S501 specifically includes:

[0094] S601, obtaining physiological signals of the subject, wherein the physiological signals include: electroencephalogram signals and electrocardiogram signals;

[0095] S602, removing clutter and electrooculogram signals from the EEG signal to obtain EEG data;

[0096] S603, removing power frequency interference, baseline drift and clutter from the ECG signal to obtain ECG data.

[0097] S601 to S603 in the present application improve the quality and reliability of the signal by removing noise and interference in the physiological signal, providing a solid foundation for subsequent data analysis and research.

[0098] In one embodiment that can be implemented in the present application, Figure 7 As shown, the physiological data includes EEG data and ECG data, and S502 specifically includes:

[0099] S701, extracting EEG characteristic data and ECG characteristic data from the EEG data and ECG data respectively;

[0100] S702, inputting the features of the EEG data and the ECG data into a KNN algorithm to determine the fatigue level of the subject.

[0101] It should be noted that the EEG characteristic data is the power spectral density ratio of the EEG. After uploading the EEG signal to the cloud server, the frequency spectra of alpha wave, theta wave and beta wave are extracted respectively using Fourier transform. The frequency range of theta wave is 4-7Hz, the frequency range of alpha wave is 8-13Hz, and the frequency range of beta wave is 14-30Hz. The power spectral density of the three waves is calculated respectively, and finally the power spectral density of the beta wave is divided by the sum of the power spectral density of the alpha wave and theta wave to obtain the power spectral density ratio of the EEG. An increase in the power spectral density ratio of the EEG indicates that the current subject is becoming fatigued.

[0102] It should be noted that the ECG characteristic data is the power spectrum of the heart rate variability (HRV). The ECG signal is subjected to power frequency interference, baseline drift, and clutter removal, and then the power spectrum of the heart rate variability (HRV) is obtained by fast Fourier transform. HRV refers to the change in the interval between two consecutive heartbeats. The HRV characteristics mainly include: the power spectrum in the frequency domain includes: low frequency (LF) (0.04-0.15Hz) and high frequency (0.150.4Hz). In the fatigue state, the power of LF increases and the power of HF decreases, so the value of LF / HF is used as an indicator of fatigue represented by the ECG characteristic.

[0103] Extracting features from EEG and ECG data and using the KNN algorithm to assess fatigue levels has the advantages of being simple and intuitive, applicable to nonlinear data, and highly accurate.

[0104] In one embodiment that can be implemented in the present application, Figure 8 As shown, S701 specifically includes:

[0105] S801, determining EEG spectrum data and ECG spectrum data according to the EEG data and ECG data in combination with fast Fourier transform;

[0106] S802, determining EEG characteristic data and ECG characteristic data according to the EEG spectrum data and ECG spectrum data.

[0107] Exemplarily, the EEG and ECG signals acquired by the control module are transmitted to the cloud server through the 5G module. The cloud server removes clutter and electrooculogram signals from the EEG signals, and then uses the fast Fourier transform FFT to obtain the frequency spectrum of alpha waves, theta waves, and beta waves. Then, the power spectrum density of alpha waves, theta waves, and beta waves is calculated. After obtaining the power spectrum density of each wave, the power spectrum density ratio is obtained, and the power spectrum density ratio is output to the KNN model as one of the machine learning algorithm features. The cloud server removes power frequency interference, baseline drift, and clutter from the ECG signals, and then obtains the power spectrum of the heart rate variability (HRV) through the fast Fourier transform, and outputs it to the KNN model as the second feature of the machine learning algorithm. The KNN model uses the two features to classify the fatigue level, and sets the frequency of light intensity change, light intensity, and the component values ​​of each spectrum in the light according to the classification results.

[0108] The above mainly introduces the method of the embodiment of the present application in conjunction with the accompanying drawings. It should be noted that all the numerical values ​​appearing in the above are only used for examples and do not constitute specific limitations on the present application. At the same time, it should be understood that although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence, these steps are not necessarily performed in sequence in the order shown in the figure. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the various embodiments described above may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a part of the steps or stages in other steps. The device of the embodiment of the present application is introduced below in conjunction with the accompanying drawings. For simplicity, when introducing the device below, it will be appropriately omitted, and the relevant content can refer to the relevant description in the above method introduction, and will not be repeated.

[0109] Fig. 9 It is a structural schematic diagram of a device for controlling phototherapy equipment provided in an embodiment of the present application.

[0110] like Fig. 9 As shown, the device 900 includes a first acquisition unit 901, a receiving unit 902 and a control unit 903. The device 900 can execute any of the above methods for controlling a phototherapy device. For example, the first acquisition unit 901 can be used to execute S201, the receiving unit 902 can be used to execute S202, and the control unit 903 can be used to execute S203.

[0111] In one implementation, the device 900 may further include a storage unit for storing physiological data, fatigue level, identity data, etc. The storage unit may be integrated in any one of the above units, or may be a unit independent of all the above units.

[0112] Fig.10 It is a structural diagram of a parameter determination device provided in an embodiment of the present application.

[0113] like Fig.10 As shown, the device 1000 includes a second acquisition unit 1001, a processing unit 1002, a determination unit 1003 and a transmission unit 1004. The device 1000 can perform any of the above parameter determination methods. For example, the second acquisition unit 1001 can be used to perform S501, the processing unit 1002 can be used to perform S502, the determination unit 1003 can be used to perform S503, and the transmission unit 1004 can be used to perform S504.

[0114] In one implementation, the device 1000 may further include a storage unit for storing physiological data, fatigue level, identity data, etc. The storage unit may be integrated in any one of the above units, or may be a unit independent of all the above units.

[0115] Fig.11 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Fig.11 As shown, the electronic device 1100 of this embodiment includes: at least one processor 1101 ( Fig.11 Only one is shown), a memory 1102, and a computer program 1103 stored in the memory 1102 and executable on at least one processor 1101, where the processor 1101 implements the steps in the above embodiments when executing the computer program 1103.

[0116] The processor 1101 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0117] In some embodiments, the memory 1102 may be an internal storage unit of the electronic device 1100, such as a hard disk or memory of the electronic device 1100. In other embodiments, the memory 1102 may also be an external storage device of the electronic device 1100, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1100. Further, the memory 1102 may also include both an internal storage unit of the electronic device 1100 and an external storage device. The memory 1102 is used to store an operating system, an application program, a boot loader (Boot Loader) data, and other programs, such as program codes of a computer program, etc. The memory 1102 may also be used to temporarily store data that has been output or is to be output.

[0118] It should be noted that the information interaction, execution process and other contents between the above-mentioned units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0119] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0120] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0121] The embodiments of the present application provide a computer program product, which can implement the above-mentioned methods when the computer program product is run on a computer.

[0122] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / electronic device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0123] It should be understood that the size of the sequence number of each step in the above-described embodiment does not mean the order of execution, and the order of execution of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiment of the present application. In the description, for the purpose of explanation rather than for limitation, specific details such as specific system structure, technology and the like are proposed, so as to thoroughly understand the embodiment of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, the detailed description of well-known systems, devices, circuits and methods is omitted to prevent unnecessary details from hindering the description of the present application.

[0124] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0125] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0126] Additionally, in the specification of the present application and the description of the appended claims, the terms “include,” “comprise,” “have,” and their variations all mean “including but not limited to,” unless otherwise specifically emphasized.

[0127] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0128] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0129] In the embodiments provided in the present application, it should be understood that the disclosed devices, computer equipment and methods can be implemented in other ways. For example, the device and computer equipment embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0130] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for controlling a phototherapy device, characterized in that: include: Obtaining physiological data of the subject; The physiological data is physiological data used to reflect the fatigue level of the subject; Receiving parameter values ​​of light therapy working parameters corresponding to the fatigue level of the subject determined according to the physiological data, the working parameters including one or more of the following: light intensity change frequency, light intensity, and component values ​​of each spectrum in the light; The light of the light therapy device is controlled according to the parameter value of the operating parameter.

2. The method according to claim 1, characterized in that The method further comprises: Obtain the light intensity of each spectrum emitted by the LED light array; The constant current required by the LED light-emitting array is adjusted according to the light intensity to change the light intensity of the LED light-emitting array and the component values ​​of each spectrum in the light.

3. The method according to claim 1, characterized in that The receiving, according to the physiological data, a working parameter of the light therapy corresponding to the fatigue level of the measured person includes: Sending the physiological data to a cloud server, the cloud server is used to determine the parameter value of the working parameter of the light therapy corresponding to the fatigue level of the subject according to the physiological data; receiving parameter values ​​of light therapy working parameters corresponding to the fatigue level of the subject from the cloud server; Wherein, sending the physiological data to a cloud server includes: The physiological data is sent to the cloud server through the 5G module.

4. A parameter determination method, applied to a cloud server, characterized in that: include: Acquire the physiological data of the subject from the control module; determining the fatigue level of the subject according to the physiological data; Determining parameter values ​​of working parameters of the light therapy according to the fatigue level of the subject, wherein the working parameters include one or more of the following: the frequency of light intensity change, the light intensity, and the component values ​​of each spectrum in the light; Sending the parameter value of the working parameter to the lighting control unit; The physiological data includes: EEG data and ECG data. The physiological data of the subject is obtained from the control module, including: Acquiring physiological signals of the subject, wherein the physiological signals include: electroencephalogram signals and electrocardiogram signals; Remove clutter and electrooculogram signals from the EEG signal to obtain EEG data; The electrocardiogram signal is subjected to power frequency interference removal, baseline drift removal, and clutter removal to obtain electrocardiogram data.

5. The method according to claim 4, characterized in that The physiological data includes EEG data and ECG data. The fatigue level of the subject is determined based on the physiological data combined with a classification algorithm, including: Extracting EEG characteristic data and ECG characteristic data from the EEG data and ECG data respectively; Inputting the EEG data and ECG data features into a KNN algorithm to determine the fatigue level of the subject; The extracting of EEG characteristic data and ECG characteristic data from the EEG data and ECG data respectively includes: Determine EEG spectrum data and ECG spectrum data according to the EEG data and ECG data in combination with fast Fourier transform; Based on the EEG spectrum data and the ECG spectrum data, EEG characteristic data and ECG characteristic data are determined.

6. A device for controlling a phototherapy device, characterized in that: include: A first acquisition unit, a receiving unit and a control unit; The first acquisition unit is used to acquire physiological data of the subject; The physiological data is physiological data used to reflect the fatigue level of the subject; The receiving unit is used to receive parameter values ​​of light therapy working parameters corresponding to the fatigue level of the subject determined according to the physiological data, wherein the working parameters include one or more of the following: light intensity change frequency, light intensity, and component values ​​of each spectrum in the light; The control unit is used to control the light of the phototherapy device according to the parameter value of the working parameter.

7. A parameter determination device, characterized in that: include: a second acquisition unit, a processing unit, a determination unit, and a transmission unit; The second acquisition unit is used to acquire the physiological data of the subject from the control module; The processing unit is used to determine the fatigue level of the subject according to the physiological data; The determination unit is used to determine the parameter value of the working parameter of the light therapy according to the fatigue level of the subject, and the working parameter includes one or more of the following: the frequency of light intensity change, the light intensity, and the component value of each spectrum in the light; The transmission unit is used to send the parameter value of the working parameter to the lighting control module.

8. A control system for a phototherapy device, characterized in that: include: A signal acquisition board, a phototherapy device, and a device for controlling the phototherapy device; The signal acquisition board is used to collect physiological signals of the subject and transmit the physiological signals to the device for controlling the phototherapy equipment; The device for controlling the phototherapy device is used to implement the method described in any one of claims 1 to 4 above; The phototherapy device is used to perform phototherapy on the subject according to the parameter value of the working parameter.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the electronic device implements the method according to any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by an electronic device, the method according to any one of claims 1 to 8 is implemented.

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