KR20210154676A - Apparatus and method of using User-specific Vagus Nerve Stimulation and Pulsed Electromagnetic Field Therapy with AI-based Neurofeedback - Google Patents

Abstract

The present invention relates to a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment technology based on an artificial intelligence neurofeedback system. A user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment comprises: a stimulation unit that generates electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) in at least two stimulation sites located in the pinna and the auricle, respectively, based on a stimulation signal; a bio-signal monitoring unit that measures a bio-signal that responds to the stimulation signal for the vagus nerve and outputs monitoring information including the stimulation signal and the bio-signal through an artificial intelligence encoder; and a communication unit that processes the output monitoring information to be transmitted to a mobile terminal using short-range wireless communication. The stimulation unit may receive the regenerated stimulation signal fed back based on a stimulation control model from a mobile terminal or a cloud server to generate electrical stimulation again. Accordingly, it is possible to provide a stimulation recipe optimized for a user.

Description

Apparatus and method of using User-specific Vagus Nerve Stimulation and Pulsed Electromagnetic Field Therapy with AI-based Neurofeedback

The present invention stimulates the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, in order to alleviate a disease or related symptoms caused by an imbalance between the sympathetic and parasympathetic nerves, , it relates to a technical idea for user-customized vagus nerve stimulation and pulsed electromagnetic field therapy that reflects each user's response by using artificial intelligence neurofeedback.

Anxiety disorder is a disorder in which excessive anxiety and worry lasts for more than 6 months and is accompanied by various physical symptoms, such as fatigue, tremors, and anxiety. Most of these anxiety disorders are problems of neurotransmitter abnormalities or serotonin regulation and neurosuppression of GABA (gamma-aminobutyric acid) in the cranial nerves responsible for emotional parts such as anxiety and depression.

GABA is a major inhibitory neurotransmitter, and has inhibitory or modulatory effects on norepinephrine. When GABA binds to GABA receptors, chlorine ion channels are opened and negatively charged chlorine ions flow in, which can reduce the excitability of nerve cells.

On the other hand, serotonin is an inhibitory neurotransmitter widely diffused in regions such as the amygdala, hippocampus, and limbic system of the brain, and an increase in serotonin reduces norepinephrine activity and inhibits defense and avoidance responses.

Among the main symptoms accompanying anxiety disorder, 'sleep disorder', 'panic', and 'migraine' are the most common symptoms. The main symptoms of these anxiety disorders are as follows.

First, sleep disorders are caused by a decrease in serotonin, which is used as a raw material for melatonin, a sleep hormone. When serotonin decreases, melatonin also decreases, and a lack of melatonin also causes sleep disturbance.

In the case of a decrease in GABA, if the brain lacks GABA, brain activity cannot be stopped and arousal causes sleep disturbance.

On the other hand, panic is caused by a decrease in serotonin, and the dopamine inhibitory function of the locus coeruleus and raphe nuclei inside the midbrain and medulla is weakened due to the lack of serotonin.

As GABA is decreased, the lack of GABA may weaken its stabilizing role in the central nervous system against excitatory neurotransmitters that stimulate the brain.

In addition, migraine mainly occurs when serotonin is decreased, and mainly occurs because the brain cannot suppress nociceptive information coming from the periphery due to the lack of serotonin in the descending pain suppression system.

Conventionally, it was attempted to treat the symptoms due to the imbalance of the sympathetic and parasympathetic nerves using a vagus nerve stimulator that did not consider drug treatment or the user's condition.

However, in the case of drug treatment, serious side effects such as muscle cramps or suicidal thoughts may occur if overdose or wrongly taken, and in particular, benzodiazepines may be exposed to the risk of addiction. Therefore, most of them require a hospital prescription, so their use is limited.

On the other hand, the vagus nerve stimulator that does not consider the user's condition may cause serious side effects such as headache and swallowing disorder due to stimulation control depending on the user's subjectivity.

In addition, there is a risk of nerve damage due to continuous single-path stimulation, and in the case of direct vagus nerve stimulation, the problem of side effects of surgery is also serious.

Therefore, related to treatment implementation such as alleviation of disease or related symptoms caused by imbalance of sympathetic and parasympathetic nerves, correction of sympathetic nerve overactivation due to chronic pain/stress and mood disorders, and activation of parasympathetic nervous system for mental and physical stability The development of new technologies is urgently needed.

Korean Patent Registration No. 10-2006962 "A wearable patch-type stress tracker sensor and tracking method based on artificial intelligence that reduces the user's mental and physical stress" Korean Patent Application Laid-Open No. 10-2019-0099006 "System and method for enhancing learning using neural regulation"

An object of the present invention is to monitor an autonomic nervous system response, to exclude subjective processing through artificial intelligence stimulus feedback based on this, and to provide a stimulus recipe optimized for a user.

According to the present invention, stimulation of the vagus nerve can induce the release of inhibitory neurotransmitters including GABA, serotonin, and norepinephrine in the central nervous system, and through this, sleep disorders and emotions caused by imbalance of sympathetic and parasympathetic nerves It aims to relieve disorders and digestive-related symptoms.

An object of the present invention is to alleviate diseases or related symptoms caused by imbalance of sympathetic and parasympathetic nerves.

An object of the present invention is to correct overactivation of sympathetic nerves according to chronic pain/stress and mood disorders.

An object of the present invention is to overcome the limitations of the existing vagus nerve stimulation device provided on a manual basis through user-customized vagus nerve stimulation optimization using an artificial intelligence algorithm.

The present invention aims to activate the parasympathetic nervous system for mental and physical stability.

The present invention promotes the metabolism of fibroblasts, chondrocytes, and osteoblasts through magnetic field stimulation, modulates the effects of hormones and neurotransmitters on receptors of various cells, and relieves back pain, pelvic pain, neuropathic pain, neuralgia/myalgia It aims to increase the effectiveness of relief and treatment of fractures.

A user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment of the present invention provides an electric stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal. A stimulus unit that generates a stimulus, a biosignal monitoring unit that measures a biosignal that responds to the stimulus signal for the vagus nerve, and outputs the stimulus signal and monitoring information including the biosignal through an artificial intelligence encoder; and and a communication unit that processes the output monitoring information to be transmitted to a mobile terminal using short-range wireless communication, wherein the stimulation unit receives the regenerated stimulation signal fed back based on the stimulation control model from the mobile terminal or cloud server and receives electricity irritation may reoccur.

The stimulus control model according to an embodiment uses heart rate variability (HRV) measured from the biosignal to determine whether an interaction between the heart and the brain or an abnormality in the autonomic nervous system is based on the variability of the time interval between adjacent heartbeats. Alternatively, by determining the degree of maintaining homeostasis of blood pressure using Baroreflex sensitivity (BRS) measured from the biosignal, it is possible to determine whether the autonomic nervous system is abnormal, and regenerate the stimulation signal in real time.

The biosignal monitoring unit according to an embodiment may monitor a brain reaction by an electroencephalogram (EEG) as the biosignal, and may encode and output frontal lobe activation information according to the brain reaction through an artificial intelligence encoder.

The bio-signal monitoring unit according to an embodiment monitors a neural response by PPG (photoplethysmography) measured from at least one of an ear, neck, or wrist as the bio-signal, and uses autonomic neural information according to the neural response to artificial intelligence It can be encrypted and output through the encoder.

The bio-signal monitoring unit according to an embodiment monitors a body reaction by a physical activity measurement (Actigraph) measured from at least one of an ear, a neck, and a wrist as the bio-signal, and artificially generates movement information according to the body reaction. It can be encrypted and output through an intelligent encoder.

The stimulation unit according to an embodiment may generate electrical stimulation in a range of an intensity of 0-20 mA, a frequency band of 0-1000 Hz, and a pulse width of 0-1000 μS.

The mobile terminal according to an embodiment transmits the output monitoring information to a cloud server, and the cloud server extracts the stimulation signal and a biosignal responding according to the stimulation signal from the transmitted monitoring information, The extracted stimulus signal and the biosignal are provided as an input to a stimulus control model based on a pre-stored artificial intelligence machine learning algorithm, and the biosignal is adjusted to balance the sympathetic and parasympathetic nerves as an output of the stimulus controlling model. The stimulation signal is regenerated, and the regenerated stimulation signal is fed back to the communication unit, and the stimulation unit may newly generate electrical stimulation as the fed back stimulation signal.

The mobile terminal according to an embodiment extracts the stimulus signal and a bio-signal responding according to the stimulus signal from the output monitoring information, and stores the extracted stimulus signal and the bio-signal in a pre-stored artificial intelligence machine learning algorithm It is provided as an input of a stimulus control model based on the stimulus control model, and as an output of the stimulus control model, the biosignal is regenerated as a stimulus signal to be adjusted for the balance of sympathetic and parasympathetic nerves, and the regenerated stimulus signal is fed back to the communication unit and the stimulation unit may newly generate electrical stimulation as the fed back stimulation signal.

The mobile terminal according to an embodiment may download or periodically update the stimulus control model from the cloud server.

The cloud server that provides optimized stimulation to the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment generates a stimulation signal from the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device, A monitoring information collecting unit that collects monitoring information including a biosignal measured as the vagus nerve is stimulated in the form of cranial electrotherapy stimulation (CES) at two or more stimulation sites, the stimulation signal and the stimulation signal from the collected monitoring information A signal extraction unit for extracting a biosignal corresponding to It may include an artificial intelligence processing unit that regenerates the stimulation signal to be adjusted for the balance of the sympathetic and parasympathetic nerves, and a communication unit that controls the regenerated stimulation signal to be fed back to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device. have.

The artificial intelligence processing unit according to an embodiment, based on the variability of the time interval between adjacent heartbeats using HRV (Heart rate variability) measured from the biosignal, determines whether there is an abnormality in the interaction between the heart and the brain or the autonomic nervous system Alternatively, it is possible to determine whether the autonomic nervous system is abnormal by determining the degree of maintaining homeostasis of blood pressure using Baroreflex sensitivity (BRS) measured from the biosignal.

The artificial intelligence processing unit according to an embodiment, as a result of monitoring a brain reaction by an electroencephalogram (EEG), among the information included in the biosignal, transmits the frontal lobe activation information according to the brain reaction to the artificial intelligence machine learning algorithm-based It can be provided as an input to the stimulus control model.

The artificial intelligence processing unit according to an embodiment is a monitoring result of a neural reaction by PPG (photoplethysmography) measured from at least one of an ear, a neck, or a wrist among the information included in the biosignal, Autonomic neural information may be provided as an input to the stimulus control model based on the artificial intelligence machine learning algorithm.

The artificial intelligence processing unit according to an embodiment may include, as a result of monitoring a body reaction by a physical activity measurement (Actigraph) measured from at least one of an ear, a neck, or a wrist among the information included in the biosignal, the body reaction It is possible to provide the autonomic neural information according to the input of the stimulus control model based on the artificial intelligence machine learning algorithm.

The method of operating the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus according to an embodiment includes stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal. generating electrical stimulation to stimulate, measuring a biosignal that responds to the stimulus signal for the vagus nerve, outputting monitoring information generated according to the measured biosignal through an artificial intelligence encoder, the output processing the monitored information to be transmitted to the mobile terminal using short-range wireless communication, and receiving the regenerated stimulus signal fed back based on the stimulus control model from the mobile terminal or cloud server to generate a new electrical stimulus can do.

The measuring of the bio-signal according to an embodiment includes measuring the bio-signal of monitoring a brain reaction by an electroencephalogram (EEG), and outputting the monitoring information through an artificial intelligence encoder includes: It may include the step of encoding and outputting the frontal lobe activation information according to the brain response through an artificial intelligence encoder.

The measuring of the biosignal according to an embodiment includes measuring a biosignal of monitoring a neural response by photoplethysmography (PPG) measured from at least one of an ear, a neck, or a wrist, and the monitoring information The outputting through the artificial intelligence encoder may include encoding and outputting autonomic neural information according to the neural response through the artificial intelligence encoder.

The measuring of the bio-signal according to an embodiment includes measuring the bio-signal of monitoring a body reaction by a physical activity measurement (Actigraph) measured from at least one of an ear, a neck, and a wrist, The step of outputting the monitoring information through the artificial intelligence encoder may include encoding and outputting motion information according to the body reaction through the artificial intelligence encoder.

A user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment, based on a stimulation signal, stimulates the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively A stimulation unit that generates electrical stimulation, a biological signal monitoring unit that measures a biological signal that responds to the stimulation signal for the vagus nerve, and outputs the stimulation signal and monitoring information including the biological signal through an artificial intelligence encoder; and providing the stimulus signal and the bio-signal as an input to a stimulus control model based on a pre-stored artificial intelligence machine learning algorithm, and as an output of the stimulus control model, the bio-signal is adjusted to balance the sympathetic and parasympathetic nerves It includes an artificial intelligence processing unit that regenerates the stimulation signal, wherein the stimulation unit may receive the regenerated stimulation signal to generate electrical stimulation again.

According to an embodiment, it is possible to monitor the autonomic nervous system response, to exclude subjective processing through artificial intelligence stimulus feedback based on this, and to provide a stimulus recipe optimized to the user.

According to one embodiment, stimulation of the vagus nerve may induce the release of inhibitory neurotransmitters, including GABA, serotonin, and norepinephrine, in the central nervous system, and thereby sleep resulting from imbalance of sympathetic and parasympathetic nerves. It can relieve disorders, emotional disorders, and digestive-related symptoms.

According to one embodiment, it is possible to alleviate a disease or related symptoms in which symptoms are caused by an imbalance between the sympathetic and parasympathetic nerves.

According to one embodiment, it is possible to correct overactivation of the sympathetic nerve according to chronic pain/stress and mood disorders.

According to an embodiment, it is possible to overcome the limitations of the existing vagus nerve stimulation device provided based on a manual through user-customized vagus nerve stimulation optimization using an artificial intelligence algorithm.

According to one embodiment, it is possible to activate the parasympathetic nervous system for mental and physical stability.

According to one embodiment, through magnetic field stimulation, the metabolism of fibroblasts, chondrocytes, and osteoblasts is enhanced, the effects of hormones and neurotransmitters on receptors of various cells are adjusted, and back pain, pelvic pain, neuropathic pain, neuralgia / It can relieve muscle pain and increase the therapeutic effect of fractures.

1 is a diagram illustrating a relationship between a user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus and a nerve to be stimulated according to an embodiment.
2 is a view for explaining the components of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus according to an embodiment.
3 is a view for explaining the entire system in which the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus according to an embodiment is used.
4 is a diagram illustrating a graph in which alpha wave and parasympathetic activation are observed while stimulation is provided through a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment.
5 is a view for explaining a specific implementation example and main event flow for a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device.
6 is a view for explaining a cloud server according to an embodiment.
7 is a view for explaining a method of operating a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus according to an embodiment.

Specific structural or functional descriptions of the embodiments according to the concept of the present invention disclosed herein are only exemplified for the purpose of explaining the embodiments according to the concept of the present invention, and the embodiment according to the concept of the present invention These may be embodied in various forms and are not limited to the embodiments described herein.

Since the embodiments according to the concept of the present invention may have various changes and may have various forms, the embodiments will be illustrated in the drawings and described in detail herein. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and includes changes, equivalents, or substitutes included in the spirit and scope of the present invention.

Terms such as first or second may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from other components, for example, without departing from the scope of rights according to the concept of the present invention, a first component may be named a second component, Similarly, the second component may also be referred to as the first component.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle. Expressions describing the relationship between elements, for example, “between” and “between” or “directly adjacent to”, etc. should be interpreted similarly.

The terminology used herein is used only to describe specific embodiments, and is not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate that the described feature, number, step, operation, component, part, or combination thereof exists, and includes one or more other features or numbers, It should be understood that the possibility of the presence or addition of steps, operations, components, parts or combinations thereof is not precluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present specification. does not

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the patent application is not limited or limited by these embodiments. Like reference numerals in each figure indicate like elements.

1 is a diagram illustrating a relationship between a user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus and a nerve to be stimulated according to an embodiment.

The user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus 100 according to an embodiment supplies stimulation in the form of electrical stimulation or magnetic field to the user, but provides customized stimulation suitable for the user to balance the sympathetic and parasympathetic nerves can

To this end, the stimulation signal can be regenerated based on the hypotheses proven in various existing papers.

Through the stimulation presence/absence experiment, which is an experiment for observing the change in the user's state before/after the stimulus is applied, it is possible to check whether the change in the user's state occurs before and after the stimulus is given through the vagus nerve stimulation.

Also, as an experiment for observing a change in the user's state when a stimulus is actually given and when it is said that a stimulus is given falsely, it is possible to check whether there is a change in the user's state even when a stimulus is given falsely through the false stimulus experiment.

In addition, as an experiment to show the fear image and observe the change in the user's state when the stimulus is applied after the anxious state, when the user is in the anxious state through the fear experiment, the user's state can be stabilized through the vagus nerve stimulation. You can check whether there is

See, for example, Yu, Zhang et al. Referring to 2009, it can be seen that α power decreases when sympathetic nerve activation occurs due to reasons such as stress. Therefore, when the inactivation of the sympathetic nerve is induced by the activation of the parasympathetic nerve, the α power is expected to increase to a calm state, and it can be confirmed that the power increases at all frequencies when the vagus nerve is stimulated using electromagnetic stimulation. . In particular, the increase in α power can be interpreted as a result that the inactivation of the sympathetic nerve can be induced due to the activation of the parasympathetic nerve.

, α,

band에서는 처음에 자극이 주어진 후 10분 후에 Power가 증가하지만 자극이 종료된 후에 power가 감소하는 것을 확인할 수 있다. On the other hand, as a fear experiment, the power continuously increases after stimulation in the δ band,

, α,

In the band, it can be seen that the power increases 10 minutes after the stimulus is initially given, but the power decreases after the stimulus ends.

power의 경우 공포 영상을 시청할 때 낮아진 후 자극 후 증가하는 것을 확인할 수 있으며, Herrmann, Str

ber et al. 2016에서는 α power의 경우, 무언가에 집중을 하지 못할 때 Inhibition 되는 것이라 설명하고 있다.α,

In the case of power, it can be seen that when watching a horror image, it decreases and then increases after stimulation, Herrmann, Str

ber et al. In 2016, in the case of α power, it is explained that it is inhibited when one cannot concentrate on something.

Therefore, it is possible to think that the alpha power decreased because he could not concentrate on the scary image, and the alpha power increased when the subsequent image was finished.

Howells, Stein et al. In 2010, there is a report that Beta Power is affected by Attention.

band는 attention에 관련되어 있다는 점을 알 수 있으며, 공포감을 느꼈을 때 Attention이 감소하였고, 또한 불안을 느끼고 있다고 해석할 수 있다. 이러한 현상을 전자기 자극을 통한 미주신경을 자극하였을 때 Relax한 상태로 변화를 유발 할 수 있다.That is, α,

It can be seen that the band is related to attention, and it can be interpreted that attention is decreased when feeling fear, and also feeling anxiety. When the vagus nerve is stimulated through electromagnetic stimulation, this phenomenon can cause a change in a relaxed state.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment may stimulate the vagus nerve using cranial electrotherapy stimulation (CES) around the ear.

Specifically, the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus 100 according to an embodiment is distributed in the turbinate and lobule based on Transcutaneous Electrical Nerve Stimulation (TENS) in the vicinity of the ear. It can stimulate the vagus nerve.

To this end, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment includes a hanger 110 to be fixed to the ear, and a hanger 110 physically fixed to the hanger 110 to provide a concha and a lobule. ) can be divided into a main body 120 that can stimulate the vagus nerve distributed in the body.

Electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) may be generated in the main body 120 in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, through the stimulation contact point 130 . Electrical stimulation may be generated according to an electrical signal, and the electrical signal may be adjusted in real time according to a user's bio-signal.

Electrical stimulation by the stimulation contact 130 may stimulate the vagus nerve distributed in the turbinate and earlobe based on percutaneous nerve stimulation.

In FIG. 1 , PSNS may be interpreted as a parasympathetic nervous system, NTS as Nucleus tractus solitaries, LC as Locus coeruleus, SCA as subcortical area, and CA as cortical area.

On the other hand, the stimulation contact 130 generates an electrical stimulation to stimulate the vagus nerve in the form of CES based on the stimulation signal, the intensity is in the range of 0-20mA, the frequency band is in the range of 0-1000Hz, and the pulse width Electrical stimulation can be generated in the range of 0-1000 μS.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment may monitor bio-signals by electrical stimulation.

In addition, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment transmits the monitored bio-signal to a mobile terminal or a cloud server, and receives a new stimulation signal calculated based on this, each of the pinna and the auricle At least two or more stimulation sites located in CES can be newly stimulated.

In this case, the mobile terminal or the cloud server may generate a user-customized stimulus signal using a stimulus control model based on an artificial intelligence machine learning algorithm.

Meanwhile, the mobile terminal may download or periodically update the stimulus control model from the cloud server.

Specifically, the stimulus control model based on the artificial intelligence machine learning algorithm receives a stimulus signal and a bio-signal that responds according to the stimulus signal, and regenerates the stimulus signal so that the bio-signal is adjusted for the balance of the sympathetic and parasympathetic nerves. .

As an example, the mobile terminal (or mobile application) may collect clinical parameters such as HRV and BRS that can determine the user's condition from the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device, and transmit signals and clinical parameters to the cloud server.

Accordingly, the cloud server can balance the target sympathetic and parasympathetic nerves by using the signals and clinical parameters transmitted from the mobile terminal (or mobile application) as input features to the artificial intelligence-based model.

The stimulus control model according to an embodiment uses heart rate variability (HRV) measured from a biosignal to determine whether an interaction between the heart and the brain or an abnormality in the autonomic nervous system is based on the variability of the time interval between adjacent heartbeats. can

The degree of maintaining homeostasis of blood pressure is determined using Baroreflex sensitivity (BRS) measured from the biosignal to determine whether the autonomic nervous system is abnormal, and the stimulation signal can be regenerated in real time.

To this end, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment may monitor various biosignals as feedback to the electrical stimulation.

For example, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 may monitor a brain response by an electroencephalogram (EEG), and encode and output frontal lobe activation information according to the brain response through an artificial intelligence encoder.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment may receive EEG measured by a separate device and monitor the brain response by EEG, and measure EEG through an integrated module to measure EEG It is also possible to monitor brain responses by

As another example, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment monitors a nerve response by photoplethysmography (PPG) measured from at least one of an ear, neck, or wrist, and the nerve response Autonomic neural information according to the data can be encrypted and output through an artificial intelligence encoder.

As another example, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 100 according to an embodiment monitors a body response by an Actigraph measured from at least one of an ear, a neck, or a wrist, and the Motion information according to body reactions can be encoded and output through an artificial intelligence encoder.

Hereinafter, the operation of specific components for monitoring a bio-signal according to electrical stimulation by the stimulation signal and generating a new stimulation signal fed back according to the monitored bio-signal will be described in FIG. 2 .

2 is a view for explaining the components of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 according to an embodiment.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 may monitor the autonomic nervous system response, and based on this, exclude subjective processing through artificial intelligence stimulation feedback, and provide a stimulation recipe optimized for the user.

As an example, in the case of a patient with an anxiety disorder, a case of sudden panic may be considered.

In this case, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 200 acquires the bio-signals collected from the user, and based on this, the cloud server calculates clinical parameters using an artificial intelligence-based model, and threshold-based sympathy It is possible to determine the degree of nerve and parasympathetic activation. In addition, by targeting the normalization section of the sympathetic and parasympathetic nerves for the normalization of the autonomic nervous system, the stimulation pattern of the intensity, frequency, and width of the stimulation that can achieve the most effective parasympathetic stimulation is derived, and the stimulation signal is regenerated accordingly. It can be fed back to the customized vagus nerve stimulation and pulsed electromagnetic field treatment device 200 .

In addition, it can induce the release of inhibitory neurotransmitters, including GABA, serotonin, and norepinephrine, within the central nervous system, and reduce sleep disorders, emotional disorders, and digestive-related symptoms caused by sympathetic and parasympathetic imbalances. can alleviate

Accordingly, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 may include a stimulation unit 210 , a biosignal monitoring unit 220 , and a communication unit 230 .

First, the stimulation unit 210 may generate electrical stimulation to stimulate the vagus nerve based on the stimulation signal.

In particular, the stimulation unit 210 according to an exemplary embodiment generates electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal. can

In addition, the stimulation unit 210 may receive the regenerated stimulation signal fed back based on the stimulation control model to generate electrical stimulation again.

The stimulus control model may be driven in the form of a mobile application in the mobile terminal, or may be driven in the form of a modeling engine in the cloud server.

In addition, a part of the stimulus control model may be driven in the form of a mobile application in the mobile terminal, and the remaining part may be driven in the form of a modeling engine in the cloud server.

According to an embodiment, the stimulus control model uses heart rate variability (HRV) measured from biosignals to determine whether there is an interaction between the heart and the brain or abnormalities in the autonomic nervous system based on the variability of the time interval between adjacent heartbeats. can

In addition, the stimulus control model can determine the degree of maintaining homeostasis of blood pressure using Baroreflex sensitivity (BRS) measured from a biosignal to determine whether the autonomic nervous system is abnormal, and regenerate the stimulus signal in real time.

The stimulus control model according to an embodiment may determine whether there is an abnormality using both HRV and BRS.

Meanwhile, in the stimulus control model, a transfer and reinforcement learning-based algorithm may be implemented. In addition, as learning elements in each algorithm, Action, Reward, Environment, and State may be used.

First, Action corresponds to an element for vagus nerve stimulation through ASMR, TENS, and PEMF, and Reward is a response to stimulation, and Reward based on sympathetic or parasympathetic changes can be extracted.

In addition, the environment may proceed with learning based on the user's body response to stimuli. In particular, the body response, such as HRV, BRS, and the like, can be interpreted as a change in a biosignal caused by electrical stimulation or a magnetic field.

Finally, State corresponds to the environment information-based user state monitoring function.

Next, the biosignal monitoring unit 220 may measure a biosignal that responds to the stimulation signal for the vagus nerve.

For example, the biosignal monitoring unit 220 may monitor a brain reaction by an electroencephalogram (EEG) as a biosignal that responds to a stimulus signal for the vagus nerve. To this end, the biosignal monitoring unit 220 may measure frontal lobe activation information according to a brain reaction.

In addition, the biosignal monitoring unit 220 may monitor a nerve response by photoplethysmography (PPG) measured from at least one of an ear, a neck, or a wrist as a biosignal that responds to a stimulus signal for the vagus nerve. To this end, the biosignal monitoring unit 220 may measure autonomic nerve information according to a nerve response.

On the other hand, the biosignal monitoring unit 220 may monitor a body reaction by a physical activity measurement (Actigraph) measured from at least one of the ear, neck, and wrist. To this end, the biosignal monitoring unit 220 may measure movement information according to a body reaction.

In addition, the bio-signal monitoring unit 220 may output the stimulation signal and monitoring information including the bio-signal through the artificial intelligence encoder.

The communication unit 230 may process the output monitoring information to be transmitted to the mobile terminal using short-range wireless communication.

For example, the communication unit 230 may process to transmit the monitoring information output through a communication method such as Bluetooth or Wi-Fi to the mobile terminal.

According to an embodiment, the mobile terminal may implement a stimulus control model based on an artificial intelligence machine learning algorithm through a mobile application.

In this case, the monitoring information transmitted by the communication unit 230 may be processed in the mobile terminal.

Specifically, the mobile terminal may extract a stimulus signal and a biosignal responding according to the stimulus signal from the output monitoring information.

In addition, the mobile terminal provides the extracted stimulus signal and the bio-signal as an input to a stimulus control model based on a pre-stored artificial intelligence machine learning algorithm, and as an output of the stimulus control model, the bio-signal is used to balance the sympathetic and parasympathetic nerves. It can be regenerated with a stimulus signal that allows it to be controlled. Also, the mobile terminal may feed back the regenerated stimulation signal to the communication unit 230 .

Accordingly, the stimulation unit 210 may newly generate electrical stimulation as the fed back stimulation signal.

According to one embodiment, the cloud server may maintain the stimulus control model based on the artificial intelligence machine learning algorithm and regenerate the stimulus signal.

To this end, the mobile terminal processes the function of transmitting monitoring information to the cloud server.

Specifically, the cloud server may extract a stimulus signal and a bio-signal that responds according to the stimulus signal from the transmitted monitoring information.

In addition, the cloud server provides the extracted stimulus signals and bio-signals as inputs to the stimulus control model based on the pre-stored artificial intelligence machine learning algorithm, and as the output of the stimulus control model, the bio-signals are adjusted to balance the sympathetic and parasympathetic nerves. It can be regenerated with a stimulus signal that makes it possible.

Accordingly, the cloud server feeds back the regenerated stimulation signal to the communication unit, and the stimulation unit 210 may newly generate electrical stimulation as the fed back stimulation signal.

According to an embodiment, the regeneration of the stimulation signal may be processed in the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 .

That is, the regeneration of the stimulation signal may be processed in a mobile application of a mobile terminal or a server in the cloud, but may also be processed in the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 itself.

Accordingly, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 may include a stimulation unit 210 , a biosignal monitoring unit 220 , and an artificial intelligence processing unit (not shown).

That is, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 200 provides at least one of a stimulation signal and a bio-signal as an input of a pre-stored artificial intelligence machine learning algorithm-based stimulation control model, and provides a biological signal as an output of the stimulation control model. It may further include an artificial intelligence processing unit (not shown) that regenerates the signal into a stimulus signal to be adjusted for the balance of the sympathetic nerve and the parasympathetic nerve.

In this case, the stimulation unit 210 may receive the regenerated stimulation signal to generate electrical stimulation again.

3 is a view for explaining the entire system 300 in which the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus according to an embodiment is used.

Looking at the entire system 300 , the patient's condition may be collected through the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device 310 .

The types of stimulation generated by the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 include vagus nerve stimulation and ASMR.

That is, it stimulates the serotonin pathway through vagus nerve stimulation and relieves symptoms by stimulating the oxytocin pathway through ASMR stimulation. The detailed pathway is as follows.

First, looking at the pathway of serotonin, the vagus nerve pathway in the ear and neck area is stimulated through the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device 310, and the vagus nerve stimulation passes through the NTS to stimulate the locus coeruleus (LC). can On the other hand, LC stimulates the secretion of norepinephrine (NE) to stimulate the dorsal raphe nucleus (DRN), which may promote serotonin (5-HT) secretion. An increase in serotonin (5-HT) secretion leads to an increase in melatonin, and sleep disorders caused by melatonin deficiency can be treated.

Meanwhile, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus 310 may provide Autonomous sensory meridian response (ASMR) content.

Looking at the pathway of oxytocin, according to an fMRI study performed to evaluate the effectiveness of ASMR, ASMR activates the medical prefrontal cortex, which leads to an increase in oxytocin, which can lead to a relaxation response, which can be utilized.

According to an embodiment, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 generates electrical stimulation based on the stimulation signal, measures the biological signal that responds to the generated electrical stimulation, the stimulation signal and the biological Monitoring information including signals may be output through the artificial intelligence encoder 320 .

In addition, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 generates a magnetic field based on a stimulation signal, measures a biological signal that responds according to the generated magnetic field, and monitors the stimulation signal and the biological signal Information can also be output through an artificial intelligence encoder.

As a specific example of electrical stimulation, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 provides electrical stimulation to stimulate the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively. can occur

As another example of electrical stimulation, the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device 310 generates electrical stimulation to stimulate the vagus nerve in the form of at least two or more stimulation transcutaneous electrical nerve stimulators (TENS) located in the carotid artery of the neck. can

As an example of a magnetic field, the user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device 310 generates a magnetic field from a coil in the form of a necklace that stimulates the vagus nerve in the form of a pulsed electromagnetic field (PEMF) at a stimulation site located around the brain from the heart. can

The monitoring information output through the artificial intelligence encoder 320 may be transmitted to the cloud server 340 in the form of a compressed signal through the gateway 330 .

Specifically, the cloud 341 may maintain a database 342 accessible through the cloud 341 type communication network.

In the database 342 , information on an optimal stimulation signal compared to various types of previously measured biosignals may be recorded.

Meanwhile, after the monitoring information transmitted to the cloud 341 is decoded through the artificial intelligence decoder 343 , the artifact removal process may be performed in the signal quality control artificial intelligence 344 in the form of an original signal.

In addition, the monitoring information from which the artifacts are removed may be provided as an input of the stimulus control model 345 based on the artificial intelligence machine learning algorithm for optimal stimulation. In addition, the monitoring information with improved quality by removing artifacts may be provided as an input of another stimulus control model 346 with reduced risk.

As the output of the stimulus control model, the biosignal can be regenerated as a stimulus signal to be regulated for the balance of the sympathetic and parasympathetic nerves.

The mobile terminal may display the bio-signals measured by the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 or monitoring information processed through the cloud server 340 to the patient through an output means such as a display.

In the embodiment of FIG. 3 , the present invention is described as the stimulation control model 345 or the stimulation control model 346 is driven by the cloud server 340 , but the stimulation control model 345 and the stimulation control model 346 . Alternatively, either one may be driven in the mobile terminal in the form of a mobile application.

Meanwhile, the doctor may prescribe an electronic drug to the patient after checking the output information 350 from the stimulus control model 345 or the stimulus control model 346 through the output means 360 . The electronic drug prescription may be interpreted as various inputs that can change the electrical stimulation or magnetic field generated by the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 310 .

As an example, in relation to the stimulation signal reproduced by the stimulation control model 345 , the electronic drug prescription may be interpreted as a weight that can differently adjust the amplitude for electrical stimulation or magnetic field.

4 is a diagram illustrating a graph 400 in which alpha wave and parasympathetic activation are observed while stimulation is provided through a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device according to an embodiment.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus according to an embodiment induces brain stimulation with nerves of various pathways, thereby inducing normalization of the autonomic nervous system.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus according to an embodiment may monitor a brain response by an electroencephalogram (EEG) as a biosignal.

In particular, it is possible to induce parasympathetic nerve activity through stimulation of the vagus nerve distributed in the turbinate and earlobe based on percutaneous nerve stimulation. For example, the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus according to an embodiment monitors a change in the user's autonomic nervous system, and based on this, real-time optimization of the turbinate and vagus nerve TEN of the earlobe is possible.

The user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus according to an embodiment may check frontal lobe activation information according to a brain response. As shown in reference numeral 410, when stimulation by an optimal stimulation signal is applied, alpha PSD remarkably increases, so that activation of alpha waves and parasympathetic nerves can be observed. In addition, as shown in reference numeral 420, activation of the alpha wave and parasympathetic nerve may be observed through a significant change due to RMSSD in a specific section. In addition, as shown in reference numeral 430, it appears that the RMSSD significantly increases after the electrical stimulation continues from the baseline.

For reference, looking at the heart rate variability variables related to the parasympathetic nervous system, the change in the RR interval in the mean RR is used to identify the activity patterns of the sympathetic and parasympathetic systems. It means that the nervous system is activated.

RMSSD (Root Mean Square of the successive differences) indicates whether the parasympathetic nervous system is well regulated for the heart, and a larger value can be interpreted as a healthy state.

HF (High frequency band) refers to a high frequency band, and is associated with heart rate variability associated with the respiratory cycle, and this frequency band is known to show activation of the parasympathetic nerve or the vagus nerve.

LF/HF Ratio is the ratio of low frequency band to high frequency band power. A lower value means that the parasympathetic nerve is activated or the sympathetic nerve activity is suppressed. Mean HR (Mean Heart Rate) is the average heart rate, and the lower the value It means that the parasympathetic nervous system is activated.

This phenomenon is due to a user-customized stimulus design algorithm based on reinforcement learning and transfer learning that considers various vagus nerve stimulation pathways. It is possible. In addition, unlike the existing technology of simply increasing or decreasing the intensity, real-time customized stimulation is possible in that the stimulation intensity is adjusted according to the degree of activity of the targeted sympathetic/parasympathetic nerves.

On the other hand, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device monitors the nerve response by PPG (photoplethysmography) measured from at least one of the ear, neck, or wrist as a biological signal, and artificially generates autonomic nerve information according to the nerve response. It can be encrypted through an intelligent encoder.

In particular, the user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device can induce parasympathetic activation through the vagus nerve TENS stimulation from the heart, lung, or internal organs distributed around the carotid artery.

In other words, the user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device can monitor changes in the user's autonomic nervous system state and perform real-time optimization of the bicarotid vagus nerve TENS based on this.

On the other hand, the user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device generates a magnetic field from a coil in the form of a necklace that stimulates the vagus nerve in the form of a pulsed electromagnetic field (PEMF) at a stimulation site located around the brain from the heart, and responds to it. Bio-signals can be monitored, and autonomic nerve information according to these bio-signals can be encoded through an artificial intelligence encoder.

In particular, the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device can stimulate the vagus nerve distributed in the heart and brain periphery through magnetic stimulation emitted from a coil or solenoid in the form of a necklace.

Through this, the user's autonomic nervous system status change is monitored, and the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device can implement real-time optimization of the vagus nerve PEMF based on this.

For example, activation of the vagus nerve stimulates the periaqueductal gray (PAG) through the nucleus of solitary tract (NTS), PAG stimulates GABA secretion, and eventually, the increase in GABA suppresses hippocampus activity, leading to symptoms of anxiety disorders. can alleviate

On the other hand, vagus nerve stimulation can stimulate the locus coeruleus (LC) via the NTS. LC stimulates norepinephrine (NE) secretion to stimulate dorsal raphe nucleus (DRN), which may promote serotonin (5-HT) secretion. In addition, an increase in serotonin (5-HT) secretion leads to an increase in melatonin, which can treat sleep disorders caused by melatonin deficiency.

5 is a view for explaining a specific implementation example and main event flow for the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device 510 .

The biosignal monitoring unit according to an embodiment may monitor the biosignal through at least one sensor, and specifically, from at least one of the motion sensor 511 sensing the user's motion or the user's ear, neck, or wrist. It may be implemented using a PPG sensor 512 that monitors a neural response by measured photoplethysmography (PPG).

A biosignal can be interpreted as various information measured from a living body as a part of the body stimulates the vagus nerve in the form of electromagnetic waves. Such various information can be measured by various devices, and various sensors may be added or replaced in addition to the motion sensor 511 or the PPG sensor 512 illustrated in FIG. 5 .

In addition, the micro control unit (MCU) 513 may be in charge of signal processing along with overall control of each component.

The charging module 514 is a module for supplying DC power to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 510, and may include a rechargeable battery.

The communication unit according to an embodiment may be implemented including a communication module 515 . The communication module 515 is a module for providing a wired/wireless communication function to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 510, for example, providing a short-range wireless communication function using a low-power Bluetooth/Wi-Fi module or , to enable wired and wireless data communication by connecting to the network.

The stimulation unit according to an embodiment may include at least one of various stimulation channels for generating electrical stimulation or generating a magnetic field.

The stimulation unit according to an embodiment may include at least one stimulation channel among a CES stimulation channel 516 , a TENS stimulation channel 517 , and a PEMF stimulation channel 518 .

Although FIG. 5 shows all the various stimulation channels, it may be implemented in a form including only one stimulation channel for the purpose of generating a specific stimulation signal.

For example, the CES stimulation channel 516 may generate electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively.

On the other hand, the TENS stimulation channel 517 can generate electrical stimulation to stimulate the vagus nerve distributed in the turbinate and lobule based on Transcutaneous Electrical Nerve Stimulation (TENS) in the vicinity of the ear. have.

In addition, the PEMF stimulation channel 518 may generate a magnetic field that stimulates the vagus nerve in the form of a pulsed electromagnetic field (PEMF) at a stimulation site located around the brain from the heart.

Reference numeral 520 may be interpreted as an entity for regenerating a stimulation signal based on a stimulation control model according to a monitored biosignal by interworking with the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 510 .

According to an exemplary embodiment, reference numeral 520 may be interpreted as a cloud server at a remote location, and may also be interpreted as a mobile application of a mobile terminal located at a short distance.

In addition, it can be interpreted as an artificial intelligence processing module implemented in a user-customized vagus nerve stimulation and pulse electromagnetic field treatment device 510 and one device.

6 is a view for explaining a cloud server 600 according to an embodiment.

The cloud server 600 according to an embodiment may provide optimized stimulation to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus.

To this end, the cloud server 600 according to an embodiment may include a monitoring information collecting unit 610 , a signal extracting unit 620 , an artificial intelligence processing unit 630 , and a communication unit 640 .

First, the monitoring information collecting unit 610 may collect monitoring information including biosignals.

The biosignal is measured when the user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device generates a stimulation signal to stimulate the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively. can be interpreted as information.

Next, the signal extraction unit 620 may decode the collected monitoring information to extract a stimulation signal and a biosignal corresponding to the stimulation signal.

In addition, the artificial intelligence processing unit 630 may provide the extracted stimulus signal and the bio-signal as inputs of a pre-stored artificial intelligence machine learning algorithm-based stimulus control model. In addition, the stimulus control model can be regenerated as a stimulus signal such that, as an output, a biological signal is regulated for the balance of the sympathetic nerve and the parasympathetic nerve.

As an example, the artificial intelligence processing unit 630 may use heart rate variability (HRV) measured from a biosignal to determine whether the interaction between the heart and the brain or an abnormality in the autonomic nervous system is based on the variability of the time interval between adjacent heartbeats. can

In addition, the artificial intelligence processing unit 630 may determine the degree of maintaining homeostasis of blood pressure using Baroreflex sensitivity (BRS) measured from the biological signal to determine whether the autonomic nervous system is abnormal, and regenerate the stimulation signal in real time.

For example, the artificial intelligence processing unit 630 may monitor a brain reaction by an electroencephalogram (EEG) among the information included in the biosignal. To this end, the artificial intelligence processing unit 630 may provide the frontal lobe activation information according to the brain response as an input of the stimulus control model based on the artificial intelligence machine learning algorithm.

As another example, the artificial intelligence processing unit 630 is a monitoring result of a neural response by PPG (photoplethysmography) measured from at least one of the ear, neck, or wrist among the information included in the biosignal, and the autonomic nerve according to the neural response Information can be provided as an input to a stimulus control model based on an artificial intelligence machine learning algorithm.

In addition, the artificial intelligence processing unit 630 is a monitoring result of a body reaction by a physical activity measurement (Actigraph) measured from at least one of the ear, neck, or wrist among the information included in the bio-signal, and autonomously according to the body response. The neural information may be provided as an input to the stimulus control model based on the artificial intelligence machine learning algorithm.

The communication unit 640 may control the regenerated stimulation signal to be fed back to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device.

7 is a view for explaining a method of operating a user-customized vagus nerve stimulation and pulsed electromagnetic field treatment apparatus according to an embodiment.

In the method of operating the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus, first, electric stimulation for stimulating the vagus nerve may be generated based on a stimulation signal (step 701).

As an example, the user-customized vagus nerve stimulation and the operating method of the pulsed electromagnetic field treatment device may generate electrical stimulation in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively.

The operation method of the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device may generate electrical stimulation in the range of an intensity of 0-20 mA, a frequency band of 0-1000 Hz, and a pulse width of 0-1000 μS.

Next, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device may measure a biosignal that responds to the stimulation signal for the vagus nerve.

For example, the operation method of the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device may measure a biosignal that monitors a brain response by an electroencephalogram (EEG).

In addition, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device may measure a biosignal of monitoring a neural response by PPG (photoplethysmography) measured from at least one of an ear, a neck, or a wrist.

In addition, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device may measure a biosignal of monitoring a body reaction by a physical activity measurement (Actigraph) measured from at least one of an ear, a neck, or a wrist.

The operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device may output monitoring information generated according to the measured bio-signal through an artificial intelligence encoder (step 703).

The operation method of the user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device may output monitoring information through an artificial intelligence encoder, and may encode and output prefrontal activation information according to a brain response through an artificial intelligence encoder.

As an example, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device may output monitoring information through an artificial intelligence encoder by encoding autonomic neural information according to a neural response through an artificial intelligence encoder.

In addition, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus may output monitoring information through an artificial intelligence encoder, and may encode and output motion information according to a body reaction through an artificial intelligence encoder.

Next, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus may process the output monitoring information to be transmitted to the mobile terminal using short-range wireless communication (step 704).

Next, the operation method of the user-customized vagus nerve stimulation and pulse electromagnetic field treatment apparatus may receive a regenerated stimulation signal fed back based on the stimulation control model from the mobile terminal or cloud server to newly generate electrical stimulation (step 705).

As a result, by using the present invention, it is possible to monitor the autonomic nervous system response, to exclude subjective processing through artificial intelligence stimulus feedback based on this, and to provide a stimulus recipe optimized for the user.

In addition, using the present invention, it is possible to induce the release of inhibitory neurotransmitters including GABA, serotonin and norepinephrine in the central nervous system through stimulation of the vagus nerve, and through this, the sympathetic nerve and parasympathetic nerve imbalance can be induced. It can relieve sleep disorders, emotional disorders, and digestive-related symptoms caused by this, and can alleviate diseases or related symptoms caused by imbalance of sympathetic and parasympathetic nerves.

In addition, it is possible to correct overactivation of the sympathetic nerve due to chronic pain/stress and mood disorders, and to overcome the limitations of the existing manual-based vagus nerve stimulation device through user-customized vagus nerve stimulation optimization using an artificial intelligence algorithm. can

In addition, it can activate the parasympathetic nervous system for mental and physical stability, enhance the metabolism of fibroblasts, chondrocytes, and osteoblasts through magnetic field stimulation, adjust the effects of hormones and neurotransmitters on receptors of various cells, It can relieve back pain, pelvic pain, neuropathic pain, neuralgia/myalgia, and increase the therapeutic effect of fractures.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (19)

In the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device,
a stimulation unit generating electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal;
a bio-signal monitoring unit that measures a bio-signal in response to the stimulus signal for the vagus nerve, and outputs the stimulus signal and monitoring information including the bio-signal through an artificial intelligence encoder; and
A communication unit that processes the output monitoring information to be transmitted to a mobile terminal using short-range wireless communication
including,
The stimulation part,
A user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device, characterized in that it regenerates electrical stimulation by receiving a regenerated stimulation signal fed back based on a stimulation control model from a mobile terminal or server.
According to claim 1,
The stimulus control model is
The interaction between the heart and the brain or abnormality in the autonomic nervous system is determined based on the variability of the time interval between adjacent heartbeats using heart rate variability (HRV) measured from the biosignal, or
User-customized vagus nerve stimulation and pulsed electromagnetic field, characterized in that the degree of maintaining homeostasis of blood pressure is determined using Baroreflex sensitivity (BRS) measured from the biosignal, and the autonomic nervous system is abnormal, and the stimulation signal is regenerated in real time. treatment device.
According to claim 1,
The biosignal monitoring unit,
A user-customized vagus nerve stimulation and pulse electromagnetic field treatment device that monitors a brain response by an electroencephalogram (EEG) measured as the biosignal, and encodes and outputs frontal lobe activation information according to the brain response through an artificial intelligence encoder.
According to claim 1,
The biosignal monitoring unit,
A user-customized vagus nerve that monitors a neural response by photoplethysmography (PPG) measured from at least one of the ear, neck, or wrist as the biosignal, and encodes and outputs autonomic neural information according to the neural response through an artificial intelligence encoder Stimulation and pulsed electromagnetic field therapy devices.
According to claim 1,
The biosignal monitoring unit,
A user-customized umbilical cord that monitors a body reaction by physical activity measurement (Actigraph) measured from at least one of the ear, neck, or wrist as the biosignal, and encodes and outputs motion information according to the body reaction through an artificial intelligence encoder Nerve stimulation and pulsed electromagnetic field therapy device.
According to claim 1,
The stimulation part,
A user-customized vagus nerve stimulation and pulsed electromagnetic field therapy device that generates electrical stimulation in the range of intensity 0-20mA, frequency band 0-1000Hz, and pulse width 0-1000μS.
According to claim 1,
The mobile terminal is
Transmitting the output monitoring information to the server,
The server is
Extracting the stimulus signal and a bio-signal responding according to the stimulus signal from the transmitted monitoring information, and providing the extracted stimulus signal and the bio-signal as an input to a pre-stored artificial intelligence machine learning algorithm-based stimulus control model, , as an output of the stimulation control model, the biosignal is regenerated into a stimulation signal that is adjusted for the balance of the sympathetic nerve and the parasympathetic nerve, and the regenerated stimulation signal is fed back to the communication unit,
The stimulation unit, a user-customized vagus nerve stimulation and pulse electromagnetic field treatment device for newly generating electrical stimulation as the fed back stimulation signal.
According to claim 1,
The mobile terminal is
extracting the stimulus signal and a bio-signal responding according to the stimulus signal from the output monitoring information, and providing the extracted stimulus signal and the bio-signal as an input of a pre-stored artificial intelligence machine learning algorithm-based stimulus control model; , as an output of the stimulation control model, the biosignal is regenerated into a stimulation signal that is adjusted for the balance of the sympathetic nerve and the parasympathetic nerve, and the regenerated stimulation signal is fed back to the communication unit,
The stimulation unit, a user-customized vagus nerve stimulation and pulse electromagnetic field treatment device for newly generating electrical stimulation as the fed back stimulation signal.
According to claim 1,
The mobile terminal is
A user-customized vagus nerve stimulation and pulse electromagnetic field treatment device, characterized in that the stimulation control model is downloaded from the server or is periodically updated.
In the server for providing optimized stimulation to user-customized vagus nerve stimulation and pulsed electromagnetic field treatment device,
Biosignals measured by generating a stimulation signal from the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device to stimulate the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively Monitoring information collection unit for collecting monitoring information that includes;
a signal extraction unit for extracting the stimulation signal and a biosignal corresponding to the stimulation signal from the collected monitoring information;
Provide the extracted stimulus signal and the biosignal as an input to a stimulus control model based on a pre-stored artificial intelligence machine learning algorithm, and as an output of the stimulus control model, the biosignal is adjusted to balance the sympathetic and parasympathetic nerves An artificial intelligence processing unit that regenerates a stimulus signal; and
A communication unit that controls to feed back the regenerated stimulation signal to the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device
server containing .
11. The method of claim 10,
The artificial intelligence processing unit,
The interaction between the heart and the brain or abnormality in the autonomic nervous system is determined based on the variability of the time interval between adjacent heartbeats using heart rate variability (HRV) measured from the biosignal, or
A server, characterized in that by determining the degree of maintaining homeostasis of blood pressure using Baroreflex sensitivity (BRS) measured from the biosignal, determining whether the autonomic nervous system is abnormal, and regenerating the stimulation signal in real time.
11. The method of claim 10,
The artificial intelligence processing unit,
As a result of monitoring a brain response by EEG (electroencephalogram) measured among the information included in the biosignal, a server that provides frontal lobe activation information according to the brain response as an input to a stimulus control model based on the artificial intelligence machine learning algorithm .
11. The method of claim 10,
The artificial intelligence processing unit,
As a result of monitoring a neural response by PPG (photoplethysmography) measured from at least one of the ear, neck, or wrist among the information included in the biosignal, autonomous neural information according to the neural response is based on the artificial intelligence machine learning algorithm Server serving as input to the stimulus conditioning model of
11. The method of claim 10,
The artificial intelligence processing unit,
As a result of monitoring a body reaction by physical activity measurement (Actigraph) measured from at least one of the ear, neck, or wrist among the information included in the bio-signal, autonomic nerve information according to the body reaction is obtained by the artificial intelligence machine learning. A server that provides input to an algorithm-based stimulus control model.
In the method of operating a user-customized vagus nerve stimulation and pulse electromagnetic field treatment device,
generating electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal;
measuring a biosignal in response to the stimulation signal for the vagus nerve;
outputting monitoring information generated according to the measured bio-signals through an artificial intelligence encoder;
processing the output monitoring information to be transmitted to a mobile terminal using short-range wireless communication; and
Receiving the regenerated stimulation signal fed back based on the stimulation control model from the mobile terminal or server to generate a new electrical stimulation
User-customized vagus nerve stimulation and operating method of the pulse electromagnetic field treatment device comprising a.
16. The method of claim 15,
The step of measuring the biosignal,
Step of measuring the biosignal monitoring brain reaction by EEG (electroencephalogram)
including,
The step of outputting the monitoring information through an artificial intelligence encoder,
Encrypting and outputting the frontal lobe activation information according to the brain response through an artificial intelligence encoder
User-customized vagus nerve stimulation and operating method of the pulse electromagnetic field treatment device comprising a.
16. The method of claim 15,
The step of measuring the biosignal,
Measuring a biosignal monitoring a nerve response by PPG (photoplethysmography) measured from at least one of the ear, neck, or wrist
including,
The step of outputting the monitoring information through an artificial intelligence encoder,
Encrypting and outputting autonomic neural information according to the neural response through an artificial intelligence encoder
User-customized vagus nerve stimulation and operating method of the pulse electromagnetic field treatment device comprising a.
16. The method of claim 15,
The step of measuring the biosignal,
Measuring a biological signal to monitor a body reaction by physical activity measurement (Actigraph) measured from at least one of the ear, neck, or wrist
including,
The step of outputting the monitoring information through an artificial intelligence encoder,
Encrypting and outputting motion information according to the body reaction through an artificial intelligence encoder
User-customized vagus nerve stimulation and operating method of the pulse electromagnetic field treatment device comprising a.
In the user-customized vagus nerve stimulation and pulse electromagnetic field treatment device,
a stimulation unit generating electrical stimulation for stimulating the vagus nerve in the form of cranial electrotherapy stimulation (CES) at at least two stimulation sites located in the pinna and the auricle, respectively, based on the stimulation signal;
a bio-signal monitoring unit that measures a bio-signal in response to the stimulus signal for the vagus nerve, and outputs the stimulus signal and monitoring information including the bio-signal through an artificial intelligence encoder; and
Stimulation that provides the stimulus signal and the biosignal as an input to a stimulus control model based on a pre-stored artificial intelligence machine learning algorithm, and controls the biosignal as an output of the stimulus control model to balance the sympathetic and parasympathetic nerves Artificial intelligence processing unit that regenerates signals
including,
The stimulation part,
A user-customized vagus nerve stimulation and pulse electromagnetic field treatment device, characterized in that receiving the regenerated stimulation signal and re-generating electrical stimulation.

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