Intelligent magnetic pulse sleep-aiding system with self-adaptive adjustment function

Abstract

The invention discloses an intelligent magnetic pulse sleep-aiding system with a self-adaptive adjustment function. The intelligent magnetic pulse sleep-aiding system comprises sleep physiological signal acquisition equipment, an intelligent processing terminal and multifunctional insomnia treatment equipment, the intelligent processing terminal comprises a data transceiving module, a data processing module, a model analysis module and an intervention adjustment module; the sleep physiological signal acquisition device is a portable wearable acquisition device. According to the intelligent magnetic pulse sleep aiding system with the self-adaptive adjustment function, personalized magnetic pulse treatment schemes and feedback can be provided by monitoring and adjusting the neural activity mode of the brain according to the real-time brain electrical activity condition of a user, the biological rhythm and the sleep mode of a patient can be adjusted, and therefore the sleep quality is improved, and the sleep aiding effect is improved. And therefore, the treatment requirements of the user can be met more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of sleep aid, and in particular to an intelligent magnetic pulse sleep aid system with self-adaptive regulation. Background Art

[0002] As urbanization gradually deepens, people's work and life rhythms are generally accelerating, and sleep disorders are becoming more and more common. Taking medicine will cause drug resistance, simple music to help sleep is slow to take effect, and the pain of electrical stimulation will make many people uncomfortable, so physical therapy and non-contact, painless magnetic pulse stimulation are gradually entering people's field of vision. The use of transcranial magnetic therapy devices in hospitals to treat patients with moderate to severe insomnia is a mature solution. On the other hand, most insomnia patients are reluctant to go to the hospital for treatment. The emergence of miniaturized and home-based magnetic pulse equipment meets this requirement. However, most magnetic pulse insomnia treatment devices on the market are fixed-mode pulse programs and lack intelligence. Although a few products have added heart rate and blood oxygen monitoring, it is difficult to achieve real-time adaptive treatment adjustment. Based on the above, an adaptive intelligent magnetic pulse sleep aid system is proposed. Summary of the invention

[0003] Based on the technical problems existing in the background technology, the present invention proposes an adaptively adjustable intelligent magnetic pulse sleep-aiding system.

[0004] The present invention proposes an adaptively adjustable intelligent magnetic pulse sleep-aiding system, which includes a sleep physiological signal acquisition device, an intelligent processing terminal and a multifunctional insomnia treatment device;

[0005] The intelligent processing terminal includes a data transceiver module, a data processing module, a model analysis module and an intervention adjustment module;

[0006] The sleep physiological signal acquisition device is a portable wearable acquisition device.

[0007] Preferably, the sleep physiological signal acquisition device is used to collect physiological signals before, during and after sleep, and provide a data source for subsequent sleep analysis, and its data source includes EEG signals, eye movement signals, pulse wave signals, body movement signals, snoring signals, etc.; by sending data to an intelligent processing terminal.

[0008] Preferably, the data transceiver module is used to receive data sent by the sleep physiological signal acquisition device, and send the results calculated by the intervention and adjustment module to the multifunctional insomnia treatment device;

[0009] The data processing module is used to receive data, parse data and process data, wherein the specific operation logic of the data processing module is as follows:

[0010] S101: receiving data from a data transceiver module, parsing the received data packet and verifying the correctness and integrity of the data packet;

[0011] S102: Preprocess the data that has passed the verification. First, the data that has passed the verification is x 1 、x 2 、x 3 …x n If you recognize x j For suspicious values, calculate the average value of the remaining n-1 data

[0012] Then calculate the corresponding standard deviation At this time, install the t distribution to discriminate x j Whether it is an outlier that needs to be removed;

[0013] like Then x j Remove outliers, otherwise x j For normal data, the validation data after removing outliers is processed with artifact removal and filtering algorithms;

[0014] The model analysis module is used to calculate the artificial intelligence model to realize the real-time sleep state determination function, wherein the specific logical steps of the model analysis module are as follows:

[0015] S201: Obtaining parsed and preprocessed data from a data processing module, and then performing feature extraction on the data;

[0016] S202: Importing the extracted features into a model for operation, the imported model may be a machine learning SVM, the machine learning SVM function Y=sgn(W·X+b), W is a weight vector, X is an input vector, and b is a bias;

[0017] Then find the optimal values ​​of the weight vector W and threshold B from the given training sample, bring the weight vector W and threshold B into the convex function of W, and get the minimized cost function

[0018] Next, we introduce the Lagrange function based on minimizing the cost function P(W);

[0019] S203: Obtaining the result of real-time calculation and outputting it;

[0020] The intervention adjustment module is used to adjust the parameters of the intervention mode according to the sleep state information.

[0021] Preferably, the multifunctional insomnia treatment device is used to receive intervention mode parameters sent by the intelligent processing terminal and adjust the operation mode of the treatment device in real time.

[0022] Preferably, the intervention technology of the multifunctional insomnia treatment device includes magnetic pulse stimulation technology and audio stimulation technology.

[0023] Preferably, the initial sleep state information obtained by the model analysis module is used by the intervention adjustment module to determine the initial parameters for operation. The model analysis module obtains real-time sleep state information through continuous calculation, and the intervention adjustment module continuously compares the change trend of the sleep state information with the positive and negative correlation of the implemented intervention parameters to determine the next change decision of the intervention parameters.

[0024] In addition, the intervention adjustment module is also used to determine whether the sleep state information tends to deep sleep. If so, the pulse and audio parameter characteristics are maintained. Otherwise, the switching magnetic pulse and audio parameter characteristics are very different from the previous time, and the judgment signal is passed to the model analysis module, and the model analysis module continues to analyze and calculate.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The adaptively adjustable intelligent magnetic pulse sleep-aiding system proposed in the present invention can provide personalized magnetic pulse treatment plans and feedback based on the user's real-time brain electrical activity by monitoring and adjusting the brain's neural activity patterns, thereby helping to adjust the patient's biorhythms and sleep patterns, thereby improving sleep quality and more accurately meeting the user's treatment needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a system block diagram of an adaptively adjustable intelligent magnetic pulse sleep-aiding system proposed by the present invention;

[0028] Figure 2 This is a system block diagram of an intelligent processing terminal of an adaptively adjustable intelligent magnetic pulse sleep aid system proposed by the present invention;

[0029] Figure 3 A flowchart of the intervention of a multifunctional insomnia treatment device of an adaptively adjustable intelligent magnetic pulse sleep aid system proposed by the present invention;

[0030] Figure 4 This is a flowchart of the coordination of the data processing module and the model analysis module in the adaptively adjustable intelligent magnetic pulse sleep-aiding system proposed by the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further explained below in conjunction with specific embodiments.

[0032] Example

[0033] Reference Figure 1-4,This embodiment proposes an adaptively regulated intelligent magnetic pulse sleep aid system, including a sleep physiological signal acquisition device, an intelligent processing terminal and a multifunctional insomnia treatment device;

[0034] The intelligent processing terminal includes a data transceiver module, a data processing module, a model analysis module and an intervention adjustment module, wherein the data transceiver module is used to receive data sent by the sleep physiological signal acquisition device, and send the results calculated by the intervention adjustment module to the multifunctional insomnia treatment device;

[0035] The data processing module is used to receive data, parse data and process data. The specific operation logic of the data processing module is as follows:

[0036] S101: receiving data from the data transceiver module, parsing the received data packet and verifying the correctness and integrity of the data packet. Since the data is encoded in a certain format before transmission, the received data packet needs to be parsed;

[0037] S102: Preprocess the data that has passed the verification. First, the data that has passed the verification is x 1 、x 2 、x 3 …x n If you recognize x j For suspicious values, calculate the average value of the remaining n-1 data

[0038] Then calculate the corresponding standard deviation At this time, install the t distribution to discriminate x j Whether it is an outlier that needs to be removed;

[0039] like Then x j Remove outliers, otherwise x j For normal data, the validation data after removing outliers is used to remove artifacts from signal interference data caused by eye movement, body movement, etc., and to filter out noise interference from the frequency during filtering operations;

[0040] The model analysis module is used to calculate the artificial intelligence model to realize the real-time sleep state judgment function, combine EEG data with other physiological data, such as heart rate, blood oxygen, body movement data, etc., and analyze and adjust the parameters such as the frequency, duty cycle and working time of magnetic pulse stimulation, as well as the music characteristics of audio stimulation in real time, without having to wait until the end of the sleep process to adjust the preset parameters for the next sleep;

[0041] The specific logical steps of the model analysis module are as follows:

[0042] S201: Obtaining parsed and preprocessed data from a data processing module, and then performing feature extraction on the data;

[0043] S202: Importing the extracted features into a model for operation, the imported model may be a machine learning SVM, the machine learning SVM function Y=sgn(W·X+b), W is a weight vector, X is an input vector, and b is a bias;

[0044] Then find the optimal values ​​of the weight vector W and threshold B from the given training sample, bring the weight vector W and threshold B into the convex function of W, and get the minimized cost function

[0045] Next, we introduce the Lagrange function based on minimizing the cost function P(W);

[0046] S203: Obtaining the result of real-time calculation and outputting it;

[0047] The intervention adjustment module is used to adjust the parameters of the intervention mode according to the sleep state information, and to adjust the intervention parameters in a targeted manner according to the collected sleep physiological signals and the sleep state information calculated therefrom;

[0048] The initial sleep state information obtained by the model analysis module determines the initial parameters for the intervention adjustment module to operate. The model analysis module obtains real-time sleep state information through continuous calculation, and the intervention adjustment module continuously compares the change trend of the sleep state information with the positive and negative correlation of the implemented intervention parameters to determine the next change decision of the intervention parameters.

[0049] In addition, the intervention adjustment module is also used to determine whether the sleep state information tends to deep sleep. If so, the pulse and audio parameter characteristics are maintained. Otherwise, the switching magnetic pulse and audio parameter characteristics are very different from the previous time, and the judgment signal is transmitted to the model analysis module, and the model analysis module continues to analyze and calculate;

[0050] The sleep physiological signal acquisition device is a portable wearable acquisition device, which is used to collect physiological signals before, during and after sleep, and provide a data source for subsequent sleep analysis. The data source includes EEG signals, eye movement signals, pulse wave signals, body movement signals, and snoring signals, etc.; the data is sent to the intelligent processing terminal;

[0051] The multifunctional insomnia treatment device is used to receive the intervention mode parameters sent by the intelligent processing terminal and adjust the operation mode of the treatment device in real time. The intervention technology of the multifunctional insomnia treatment device includes magnetic pulse stimulation technology and audio stimulation technology, etc.; the adaptively adjustable intelligent magnetic pulse sleep aid system proposed in this embodiment can provide personalized magnetic pulse treatment plans and feedback according to the user's real-time brain electrical activity, by monitoring and adjusting the brain's neural activity patterns, which helps to adjust the patient's biological rhythm and sleep pattern, thereby improving sleep quality, and thus being able to more accurately meet the user's treatment needs.

[0052] In this embodiment, when in use, the portable wearable data acquisition device is worn on the head of a person to collect physiological signals before, during and after sleep, provide a data source for subsequent sleep analysis, and send the collected data to the intelligent processing terminal. The data is received by the data transceiver module, and the data processing module parses and processes the received data. The processed data is calculated by the model analysis module to determine the real-time sleep state of the artificial intelligence model. The intervention adjustment module adjusts the parameters of the intervention mode according to the sleep state information of the model analysis module, and sends the parameters to the multifunctional insomnia treatment device, which performs intervention treatment on the patient.

[0053] In the initial stage of intervention, the initial parameters of the intervention adjustment module are determined based on the initial sleep state information obtained by the model analysis module. In the subsequent sleep process, the model analysis module obtains real-time sleep state information through continuous calculation. The intervention adjustment module compares the changing trend of the sleep state information with the positive and negative correlation of the implemented intervention parameters to determine whether the sleep state information tends to deep sleep. If so, the magnetic pulse and audio parameter characteristics are maintained. Otherwise, the switching magnetic pulse and audio parameter characteristics are very different from the previous time, thereby determining the next intervention parameter change decision.

[0054] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An adaptively regulated intelligent magnetic pulse sleep aid system, characterized in that: Including sleep physiological signal acquisition equipment, intelligent processing terminal and multifunctional insomnia treatment equipment; The intelligent processing terminal includes a data transceiver module, a data processing module, a model analysis module and an intervention adjustment module; The sleep physiological signal acquisition device is a portable wearable acquisition device.

2. The self-adaptive intelligent magnetic pulse sleep aid system according to claim 1, characterized in that: The sleep physiological signal acquisition device is used to collect physiological signals before, during and after sleep, and provide a data source for subsequent sleep analysis. The data source includes EEG signals, eye movement signals, pulse wave signals, body movement signals and snoring signals; and sends the data to an intelligent processing terminal.

3. The self-adaptive intelligent magnetic pulse sleep aid system according to claim 1, characterized in that: The data transceiver module is used to receive data sent by the sleep physiological signal acquisition device, and send the results calculated by the intervention and adjustment module to the multifunctional insomnia treatment device; The data processing module is used to receive data, parse data and process data, wherein the specific operation logic of the data processing module is as follows: S101: receiving data from a data transceiver module, parsing the received data packet and verifying the correctness and integrity of the data packet; S102: Preprocess the verified data. First, the verified data are x1, x2, x3...x n If you recognize x j For suspicious values, calculate the average value of the remaining n-1 data Then calculate the corresponding standard deviation At this time, install the t distribution to discriminate x j Whether it is an outlier that needs to be removed; like Then x j Remove outliers, otherwise x j For normal data, the validation data after removing outliers is processed with artifact removal and filtering algorithms; The model analysis module is used to calculate the artificial intelligence model to realize the real-time sleep state determination function, wherein the specific logical steps of the model analysis module are as follows: S201: Obtaining parsed and preprocessed data from a data processing module, and then performing feature extraction on the data; S202: Importing the extracted features into a model for operation, the imported model may be a machine learning SVM, the machine learning SVM function Y=sgn(W·X+b), W is a weight vector, X is an input vector, and b is a bias; Then find the optimal values ​​of the weight vector W and threshold B from the given training sample, bring the weight vector W and threshold B into the convex function of W, and get the minimized cost function Next, we introduce the Lagrange function based on minimizing the cost function P(W); S203: Obtaining the result of real-time calculation and outputting it; The intervention adjustment module is used to adjust the parameters of the intervention mode according to the sleep state information.

4. The self-adaptive intelligent magnetic pulse sleep aid system according to claim 1, characterized in that: The multifunctional insomnia treatment device is used to receive the intervention mode parameters sent by the intelligent processing terminal and adjust the operation mode of the treatment device in real time.

5. The self-adaptive intelligent magnetic pulse sleep aid system according to claim 1, characterized in that: The intervention technology of the multifunctional insomnia treatment device includes magnetic pulse stimulation technology and audio stimulation technology.

6. The self-adaptive intelligent magnetic pulse sleep aid system according to claim 3, characterized in that: The initial sleep state information obtained by the model analysis module is used to determine the initial parameters for the intervention adjustment module to operate. The model analysis module obtains real-time sleep state information through continuous calculation, and the intervention adjustment module continuously compares the change trend of the sleep state information with the positive and negative correlation of the implemented intervention parameters to determine the next change decision of the intervention parameters; In addition, the intervention adjustment module is also used to determine whether the sleep state information tends to deep sleep. If so, the pulse and audio parameter characteristics are maintained. Otherwise, the switching magnetic pulse and audio parameter characteristics are very different from the previous time, and the judgment signal is passed to the model analysis module, and the model analysis module continues to analyze and calculate.

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