KR102377757B1 - Deep heat generating device, method and program using rhythmic vibration and high frequency - Google Patents

Abstract

Embodiments provide a device for generating deep heat using rhythmic vibration and high frequency. The deep heat generating device comprises: a vibration starter configured to apply vibration to the body part; a deep heat starter configured to apply high frequency alternating current power to the body part; and a controller configured to control the vibration starter and the deep heat starter. The controller generates a rhythm vibration signal based on appropriate frequency range information preset for each body part, at least one preset brain wave signal, a resonance frequency signal preset for each body part, and a tuning frequency signal, controls the vibration starter based on the generated rhythm vibration signal, calculates a customized high frequency range based on user information including at least one of the user's constitution, weight, body fat percentage, age, and gender, generates a high frequency power processing signal based on the applied high frequency signal belonging to the customized high frequency range, and controls the deep heat starter based on the generated high frequency power processing signal. Accordingly, deep heat can be effectively controlled.

Description

DEEP HEAT GENERATING DEVICE, METHOD AND PROGRAM USING RHYTHMIC VIBRATION AND HIGH FREQUENCY}

The present invention relates to a device, method and program for generating deep heat using rhythmic vibration and high frequency.

When high-frequency power is applied to the human body, deep heat is generated in specific human tissues. An insulating pad is attached to cross-apply high-frequency power to the human body, and as wireless AC high-frequency power of 300KHz to 800KHz is applied, deep heat is generated as a result of resonance absorption by friction within the cell.

As deep heat of 40° C. to 45° C. is continuously generated, blood vessels expand and collagen production in the dermal layer of the skin is induced, so that muscle tissue and bone joints can be relaxed.

The high-frequency current applied to the human body has a very short oscillation width, so it hardly generates ion movement according to ionization changes, so it does not generate an electrochemical reaction.

Conventionally, there is a problem in that excessive power is applied to the human body because energization efficiency for each frequency of the human body is different according to the characteristics of the human body or body parts.

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An embodiment of the present invention may provide an apparatus, method, and program for generating deep heat that generate vibration of a frequency matched for each body part.

An embodiment of the present invention may provide a deep heat generating apparatus, method, and program for applying matched high-frequency AC power so that energization efficiency of the human body can be maximized for each user.

An embodiment of the present invention may provide a deep heat generating apparatus, method, and program capable of suppressing excessive power consumption from being generated.

An embodiment of the present invention can provide a deep heat generating apparatus, method, and program capable of drying a body part to which high-frequency AC power is applied and irradiating visible light to the body part.

Technical problems to be achieved in the embodiments are not limited to those mentioned above, and other technical problems not mentioned may be considered by those of ordinary skill in the art from various embodiments to be described below. can

A deep heat generating device using rhythmic vibration and high frequency according to embodiments of the present invention includes a vibration starter configured to apply vibration to a body part, and a deep part configured to apply high-frequency AC power to a body part a thermal initiator and a control unit configured to control the vibration initiator and the deep thermal initiator.

In addition, the control unit generates a rhythm vibration signal based on preset appropriate frequency range information for each body part, at least one preset EEG signal, a resonance frequency signal and a tuning frequency signal preset for each body part, and the generated rhythm Controls the vibration starter based on a vibration signal, calculates a customized high-frequency range based on user information including at least one of the user's constitution, weight, body fat percentage, age, and gender, and applies an applied high-frequency signal belonging to the customized high-frequency range It is possible to generate a high frequency power processing signal based on , and control the deep heat starter based on the generated high frequency power processing signal.

In addition, the control unit matches at least one sound matching the appropriate frequency range information from a plurality of preset sounds, and filters the matched at least one sound based on the appropriate frequency range information to filter a sound signal generating a synthesized sound signal by synthesizing the filtered sound signal and the at least one EEG signal, and synthesizing a signal obtained by adding the resonance frequency signal and the tuning frequency signal and the synthesized sound signal (Convolution) to generate the rhythmic vibration signal.

Also, the control unit may extract a feature from the user information and obtain the custom high frequency range using a machine-learned classification model to specify the custom high frequency range through the extracted features.

In addition, the classification model may be learned using training data that matches user information for each of a plurality of users with a frequency range to which a high frequency having the highest human energization efficiency for each of a plurality of users belongs.

Also, the control unit may generate the high frequency power processing signal based on preset power, the applied high frequency signal, and a PWM (Pulse Width Modulation) signal.

Also, the controller may control the high frequency power processing signal based on at least one of a duty cycle of the PWM (Pulse Width Modulation) signal and the applied high frequency signal.

In addition, the control unit calculates a change in power consumption according to a change in the duty cycle, and calculates a human body energization efficiency based on a change in power consumption according to a change in the duty cycle, The human body energization efficiency is calculated to correspond to each of a plurality of high frequencies included in the customized high frequency range, and an optimal frequency signal is calculated based on a high frequency having the highest human body energization efficiency among the plurality of high frequencies, and the optimum frequency The signal may be changed to the applied high frequency signal.

In addition, the control unit monitors a current variation obtained based on the high frequency power processing signal, calculates the power consumption based on the current variation, compares the preset power with the calculated power consumption, and calculates When the consumed power is greater than the preset power, the deep heat is activated to reduce the power consumption through control of at least one of a duty cycle of the PWM (Pulse Width Modulation) signal and the applied high-frequency signal. You can control wealth.

In addition, the control unit, based on the high-frequency power processing signal that changes according to at least one of a change in the applied high-frequency signal, a change in the user information, a change in the duty cycle, and damage to the deep heat starting unit. It is possible to monitor the amount of change in the current obtained by

In addition, the deep heat generating method performed by the deep heat generating device according to an embodiment of the present invention using rhythmic vibration and high frequency includes preset appropriate frequency range information for each body part, at least one preset EEG signal, and the body generating a rhythm vibration signal based on a resonance frequency signal and a tuning frequency signal preset for each part;

Controlling a vibration starter that is communicatively connected to the deep heat generating device and configured to generate vibration based on the rhythm vibration signal, a user including at least one of constitution, weight, body fat percentage, age, and gender of the user calculating a customized high-frequency range based on the information, generating a high-frequency power processing signal based on an applied high-frequency signal belonging to the customized high-frequency range, and communicatively connected to the deep heat generating device to apply high-frequency power It may include the step of controlling the configured deep heat starter based on the high frequency power processing signal.

In addition, the program according to an embodiment of the present invention may be a program stored in a computer-readable recording medium to execute the method for generating deep heat.

According to an embodiment of the present invention, vibration of a frequency matched to a body part may be applied.

According to an embodiment of the present invention, since AC power of a high frequency that is optimized according to the user's human body characteristics is applied, energization efficiency of the human body is maximized and deep heat can be effectively controlled.

According to an embodiment of the present invention, since generation of excessive power consumption is suppressed by controlling the power consumption applied to the human body, damage to the deep heat generating device and the user can be prevented from occurring.

According to an embodiment of the present invention, since bacteria and porphyrin are decomposed by visible light and a drying effect is generated by wind, body parts to which AC power is applied can be kept clean.

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those of ordinary skill in the art based on the detailed description below. can be

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description to aid understanding of the embodiments, provide various embodiments and, together with the detailed description, explain technical features of the various embodiments.
1 is a schematic diagram showing a system for generating deep heat using rhythmic vibration and high frequency according to an embodiment of the present invention.
2 is a block diagram showing the configuration of an apparatus for generating deep heat using rhythmic vibration and high frequency according to an embodiment of the present invention.
FIG. 3 is a view for exemplarily explaining the operation of the rhythm signal generating unit according to FIG. 2 .
FIG. 4 is a diagram exemplarily illustrating an operation of the signal selection unit according to FIG. 2 .
FIG. 5 is a diagram exemplarily illustrating an operation of the human rhythm synthesizing unit according to FIG. 2 .
FIG. 6 is a view for exemplarily explaining the operation of the human body synchronization setting unit according to FIG. 2 .
FIG. 7 is a diagram exemplarily illustrating an operation of the high frequency mapping unit according to FIG. 2 .
FIG. 8 is a view exemplarily explaining the operation of the high frequency selection unit according to FIG. 2 .
9 is a view for explaining an embodiment of the operation of the power control unit and stimulus management unit according to FIG.
10 is a view for explaining an embodiment of the operation of the power control unit and stimulus management unit according to FIG.
11 is a block diagram illustrating a configuration of an apparatus for generating deep heat using rhythmic vibration and high frequency according to an exemplary embodiment.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing each figure, like reference numerals have been used for like elements.

Terms such as first, second, A, and B 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 another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

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.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

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Unless defined otherwise, all terms used herein, including technical and 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 application. does not

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram illustrating a system for generating deep heat using rhythmic vibration and high frequency according to an embodiment of the present invention.

Referring to FIG. 1 , the deep heat generating device 10 applies high-frequency AC power to a user 20 , and deep heat is generated in a body part of the user 20 to which the applied AC power is applied.

In one embodiment, the high frequency may be a frequency of 400 KHz or higher. However, the present invention is not limited thereto.

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In one embodiment, the low frequency or medium frequency may be a frequency of 10 KHz or less. However, the present invention is not limited thereto.

The deep heat generating apparatus 10 includes a device for applying AC power and vibration to the user 20 , and provides AC to the body part of the user 20 through the device attached to the body part of the user 20 . Power and vibration may be provided.

FIG. 2 is a block diagram showing the configuration of the deep heat generating device 10 according to FIG. 1 .

The functional module and functional unit of the deep heat generating device 10 are exemplarily shown in the control unit 100 of the deep heat generating device 10 . In addition, FIGS. 3 to 10 are conceptual diagrams for explaining the operation of the functional module and functional unit of the deep heat generating device 10 .

The deep heat generating device 10 includes a control unit 100 , a vibration starter 200 , a deep heat starter 300 , and an environment cleaner 400 .

The controller 100 controls to apply AC power and vibration to the user 20 .

The vibration starter 200 is configured to apply vibration to the user 20 , and is controlled to vibrate at a specific frequency by the controller 100 .

In one embodiment, the vibration starter 200 may include a vibration element that generates a vibration signal, a motor that generates power according to the vibration signal, and a vibrator that generates vibration by the motor generated by the motor. However, the present invention is not limited thereto, and the vibration starter 200 may be implemented in various forms capable of generating vibration at a specific frequency.

The deep heat starter 300 is configured to apply high-frequency AC power to the user 30 , and is controlled by the controller 100 to apply AC power of a specific frequency to the user 20 .

In one embodiment, the deep heat starting unit 300 may be configured in a form in which an insulator surrounds a conductive material and can be attached to a body part of the user 20 . However, the present invention is not limited thereto, and the deep heat starting unit 300 may be implemented in various forms capable of applying AC power to a body part.

Hereinafter, a functional module and a functional unit of the deep heat generating device 10 will be described with reference to FIGS. 2 to 10 .

Referring to FIG. 2 , the control unit 100 of the deep heat generating device 10 includes a rhythm processing module 110 , a high frequency processing module 120 , and a human body stimulation management module 130 . The rhythm processing module 110 , the high frequency processing module 120 , and the human body stimulation management module 130 may include at least one processor.

The rhythm processing module 110 and the human body stimulation management module 130 select a signal in an appropriate frequency range through filtering from a plurality of preset sounds, synthesize the selected signal and a preset EEG signal, and convert the synthesized signal to a resonance frequency A rhythm vibration signal T_Set(t) is generated by synthesizing the signal and the tuning frequency signal with the added signal. The appropriate frequency range, the resonance frequency signal, and the tuning frequency signal may be set differently for each body part.

The high frequency processing module 120 maps a high frequency range matching user information, and selects a high frequency for AC power application from the mapped high frequency range. In addition, the high frequency processing module 120 selects a duty cycle for applying the AC power.

The high-frequency processing module 120 and the human body stimulation management module 130 calculate high-frequency frequencies having the optimal energization efficiency of the human body for each body part. In addition, the high frequency processing module 120 and the human body stimulation management module 130 measure the amount of current change for various variables and monitor the power consumption based on the measured current change amount, and based on the monitoring result, the high frequency and duty cycle (Duty cycle) ) to control at least one of

3 to 6 , in relation to generation of the rhythm vibration signal T_Set(t), an operation process of the rhythm processing module 110 and the human body stimulation management module 130 is illustrated by way of example.

First, referring to FIG. 3 , the operation process of the rhythm signal generating unit 111 included in the rhythm processing module 110 is illustrated by way of example.

The rhythm signal generating unit 111 selects the basic sound signal R_Sig(t), which is at least one of a plurality of preset sounds. The basic sound signal R_Sig(t) may be arbitrarily selected by the rhythm signal generating unit 111 , and may be selected by a control signal of the stimulation management unit 136 included in the human body stimulation management module 130 . there is. Also, the basic sound signal R_Sig(t) may be selected based on user selection information received from the user. The deep heat generating device 10 may include a user input unit (not shown) configured to receive an input from the user 20 , and communicatively connected to a user terminal (not shown) possessed by the user 20 . to receive user selection information from a user terminal (not shown).

In the illustrated embodiment, the rhythm signal generating unit 111 matches information on an appropriate frequency range set for each body part with a plurality of preset sounds, and converts the sound with the highest degree of matching to the basic sound signal R_Sig(t). You can choose. The matching degree may be calculated based on the degree of inclusion of a preset appropriate frequency range (Hz) for each body part. When the body part to which the vibration is applied is the ectoderm, the sound with the highest degree of matching with the appropriate frequency range (Hz) of the ectoderm is selected as the basic sound signal (R_Sig(t)). When vibration is applied to the ectoderm, the appropriate frequency range is set to A to B Hz, and the matching degree of the sound including the most signals of A to B Hz among preset sounds can be calculated to be the highest.

When the sound selection is completed, the rhythm signal generating unit 111 transmits the basic sound signal R_Sig(t) to the signal selecting unit 112 .

Referring to FIG. 4 , the operation process of the signal selection unit 112 included in the rhythm processing module 110 is illustrated by way of example.

The signal selection unit 112 matches the received basic sound signal R_Sig(t) with information on an appropriate frequency range set for each body part, and filters the basic sound signal R_Sig(t) that is a frequency in the appropriate frequency range Generates a sound signal (Filter[R_Sig(t)]).

In the illustrated embodiment, when the body part to which the vibration is to be applied is the ectoderm, the signal selection unit 112 extracts a signal corresponding to E to F Hz, which is an appropriate frequency range of the ectoderm, from the basic sound signal R_Sig(t) to generate a filtered sound signal (Filter[R_Sig(t)]).

When the filtered sound signal Filter[R_Sig(t)] is generated, the signal selection unit 112 transmits the selection sound signal S_Sel(t) to the human body rhythm synthesis unit 131 . The selection sound signal S_Sel(t) may include the filtering sound signal Filter[R_Sig(t)] and EEG selection information.

The EEG selection information may include information on at least one of frequencies of an alpha wave (P), an SMR wave (Q), and a beta wave (R). In an embodiment, the alpha wave may have a frequency of 8-12 Hz, the SMR wave may have a frequency of 12-15 Hz, and the beta wave may have a frequency of 15-20 Hz.

Referring to FIG. 5 , an operation process of the human rhythm synthesizing unit 131 included in the human stimulation management module 130 is illustrated by way of example.

The human rhythm synthesis unit 131 generates a synthesized sound signal R_Sum(t) based on the received selected sound signal S_Sel(t).

In the illustrated embodiment, the synthesized sound signal R_Sum(t) includes the filtered sound signal Filter[R_Sig(t)]) included in the selected sound signal S_Sel(t), the alpha wave (P), and the SMR wave ( Q) and the beta wave (R) may be generated by synthesizing at least one of the frequencies. The synthesized sound signal (R_Sum(t)) is a filtered sound signal (Filter[R_Sig(t)]) by convolution of at least one of the frequencies of the alpha wave (P), SMR wave (Q), and beta wave (R). ) can be created. When the EEG selection information includes the alpha wave (P) and the SMR wave (Q), the human rhythm synthesis unit 131 converts the alpha wave (P) and the SMR wave ( A signal to which Q) is added may be convolved to generate a synthesized sound signal R_Sum(t).

EEG is used in the process of generating the rhythm vibration signal T_Set(t) for vibration generation.

When the generation of the synthesized sound signal R_Sum(t) is completed, the human body rhythm synthesis unit 131 transmits the generated synthesized sound signal R_Sum(t) to the human body synchronization setting unit 132 .

Referring to FIG. 6 , an operation process of the human body synchronization setting unit 132 included in the human body stimulation management module 130 is illustrated by way of example.

The human body tuning setting unit 132 generates a rhythm vibration signal T_Set(t) based on the received synthesized sound signal R_Sum(t).

The human body tuning setting unit 132 generates a rhythm vibration signal T_Set(t) based on preset tuning frequency and resonance frequency information for each body part. In an embodiment, the stimulus management unit 136 may provide preset tuning frequency and resonance frequency information to the human body tuning setting unit 132 .

In the illustrated embodiment, the human body tuning setting unit 132 generates a tuning frequency signal based on the tuning frequency of the body part, and generates a resonance frequency signal based on the resonance frequency of the body part. In addition, the human body tuning setting unit 132 generates a rhythm vibration signal (T_Set(t)) by convolutionally synthesizing a signal obtained by adding a tuning frequency signal and a resonance frequency signal with a synthesized sound signal (R_Sum(t)). . When the vibration is applied to the ectoderm, the matching tuning frequency is 292 Hz and the matching resonance frequency is 400 Hz. convolution) to generate a rhythmic vibration signal (T_Set(t)).

When the rhythm vibration signal T_Set(t) is generated, the human body synchronization setting unit 132 transmits the generated rhythm vibration signal T_Set(t) to the vibration starter 200 to generate the vibration starter 200 It controls to generate a vibration of a frequency that matches the rhythm vibration signal T_Set(t).

The generated vibration is applied to the body part in contact with the vibration starter 200 .

A vibration generated by a rhythm vibration signal T_Set(t) generated based on a frequency in a suitable range for each body part, an EEG signal, a tuning frequency signal, and a resonance frequency signal may be applied to the body part.

7 to 10 , in relation to the application of AC power, the operation of the high frequency processing module 120 and the human body stimulation management module 130 is illustrated by way of example.

Referring to FIG. 7 , an operation process of the high frequency mapping unit 121 included in the high frequency processing module 120 is illustrated by way of example.

Conventional treatment devices using deep heat mostly use a fixed high frequency of 460KHz or 470KHz. However, different users have different constitutions (dry, complex, oily, etc.), weight, body fat percentage, age, sex, etc., so there is a difference in human body resistance.

The high-frequency mapping unit 121 derives a matched customized high-frequency range (Hf_Map(t)) based on the user information, thereby making it easier to characterize the high-frequency having the optimal human body conduction efficiency.

The deep heat generating device 10 may include a user input unit (not shown) configured to receive user information from the user 20 , and to be able to communicate with a user terminal (not shown) possessed by the user 20 . It may be connected to receive user information from a user terminal (not shown).

In the illustrated embodiment, the high-frequency mapping unit 121 derives a customized high-frequency range (Hf_Map(t)) that matches the user 20 receiving deep heat treatment using a high-frequency range classification model previously learned through machine learning. do. Supervised learning can be used as a machine learning method, and various algorithms that can extract features from a learning dataset can be used for learning.

The training data used for learning the high-frequency range classification model may include various information about the user 20 . In one embodiment, the learning data is information in which data including at least one of constitution (dry, complex, oily, etc.), weight, body fat percentage, sex, and age for a plurality of different users 20 is labeled with a specific high frequency range can be The specific high frequency range is set by designating an error range before and after high frequencies having suitable human body energization efficiency for each of a plurality of different users 20 . Through this, user information including at least one of a specific high frequency range, constitution (dry, complex, oily, etc.), weight, body fat percentage, gender, and age may be matched for each user and converted into data. When machine learning using learning data starts, the algorithm used for learning extracts features from user information including at least one of constitution (dry, complex, intellectual, etc.), weight, body fat percentage, gender, and age, and extracts the extracted features It is learned to specify the high-frequency range through

The custom high-frequency range Hf_Map(t) calculated by the high-frequency mapping unit 121 may include all frequencies within the range. However, the present invention is not limited thereto, and the calculated custom high-frequency range Hf_Map(t) may include only some frequencies within the range. In the illustrated embodiment, the extracted custom high frequency range (Hf_Map(t)) includes frequencies of Hf_Map1 to Hf_MapX, and when the extracted custom high frequency range (Hf_Map(t)) is 460KHz to 560KHz, Hf_Map1 to Hf_MapX are from 460KHz to 460KHz It may be a plurality of frequencies specified at intervals of 1 KHz between 560 KHz. In addition, Hf_Map1 to Hf_MapX may be a plurality of frequencies specified at 0.5 KHz intervals between 460 KHz to 560 KHz.

In an embodiment not shown, the high frequency mapping unit 121 may set a preset high frequency range as a custom high frequency range Hf_Map(t). In one embodiment, the custom high frequency range Hf_Map(t) may range from 400 KHz to 600 KHz.

When the customized high-frequency range Hf_Map(t) is calculated, the high-frequency mapping unit 121 transmits the customized high-frequency range Hf_Map(t) to the high-frequency selection unit 123 .

Referring to FIG. 8 , the operation process of the high frequency selection unit 123 included in the high frequency processing module 120 is illustrated by way of example.

The high frequency selection unit 123 receives the frequency control signal Hf_Ctl from the power control unit 135 . The frequency control signal Hf_Ctl includes information on any one of a plurality of high frequencies included in the customized high frequency range Hf_Map(t), and through this, the applied high frequency signal Hf_Sel(t) used for AC power application is can be selected.

When the applied high frequency signal Hf_Sel(t) is selected, the high frequency selection unit 123 transmits the applied high frequency signal Hf_Sel(t) to the power processing unit 133 .

In addition, the power supply unit 122 included in the high frequency processing module 120 supplies the power Hf_Pwr to the power processing unit 133 . In one embodiment, the power supply unit 122 may be configured as a power supply having a supply capacity of 350W. However, the present invention is not limited thereto and may be configured as a power supply having a supply capacity of 350W or more or less.

The power processing unit 133 receiving the applied high frequency signal Hf_Sel(t) and supplied with the power Hf_Pwr adjusts the duty cycle of the pulse width modulation (PWM) signal applied across both ends to adjust the high frequency power processing signal Create (Hf_Pro(t)). The duty cycle control signal Hf_Duty is received from the power control unit 135 . As the duty cycle is increased or decreased by the duty cycle control signal Hf_Duty, the high frequency output may be increased or decreased.

The power processing unit 133 transmits the generated high-frequency power processing signal Hf_Pro(t) to the power matching unit 134, and the power matching unit 134 receives the high-frequency power processing signal Hf_Pro(t). A high-frequency power application signal (Hf_PM(t)) is generated by applying an inductive transformer boosting method together with power amplification. The generated high-frequency power application signal Hf_PM(t) is transmitted to the deep heat starting unit 300, which is operated by the high-frequency power application signal Hf_PM(t) and attached to the body part. Apply high-frequency power to The deep heat starter 300 performs capacitive control based on the high frequency power application signal Hf_PM(t).

Referring to FIG. 9 , an embodiment of the operation process of the power control unit 135 and the stimulus management unit 136 is shown.

In the illustrated embodiment, referring to the graph showing the correlation between frequency, duty cycle, and power, the amount of change in the output according to the change of the duty cycle for each frequency is different, and therefore, the amount of change in the output according to the change of the duty cycle is different for each frequency. The conduction efficiency may be different.

The power control unit 135 may acquire a power change based on the high frequency power processing signal Hf_Pro(t) through monitoring of the power processing unit 133 .

The power control unit 135 detects a change in power as the duty cycle is changed by the duty cycle control, and calculates the human body energization efficiency based on the change in power versus the change in the duty cycle. do. The human body energization efficiency can be calculated for each frequency, and through this, the optimal frequency with the highest human body energization efficiency can be specified.

When the optimum frequency with the highest human energization efficiency is specified, the power control unit 135 transmits a frequency control signal Hf_Ctl including information on the specified optimum frequency to the high frequency selection unit 123, and the high frequency selection unit ( 123) changes the frequency to the optimum frequency based on the received frequency control signal Hf_Ctl.

Calculation of energization efficiency of the human body, generation of the frequency control signal Hf_Ctl, and generation of the duty cycle control signal Hf_Duty of the power control unit 135 may be performed under the control of the stimulus management unit 136 .

As the frequency with the highest human body energization efficiency is selected, power control by duty cycle control can be more efficiently performed.

Referring to FIG. 10 , another embodiment of the operation process of the power control unit 135 and the stimulus management unit 136 is shown.

The power control unit 135 and the stimulus management unit 136 are configured to generate a current change amount (I/dt) based on at least one of frequency change, user information change, duty cycle change, and damage to the deep heat starter 300 . to calculate In an embodiment, the power control unit 135 may calculate the current change amount I/dt based on the high frequency power processing signal Hf_Pro(t) of the power processing unit 133 .

When the current change amount I/dt is calculated, the power control unit 135 may calculate power consumption based on the current change amount I/dt.

The calculated power consumption is transmitted to the stimulus management unit 136 , and the stimulus management unit 136 compares the transmitted power consumption with the power Hf_Pwr supplied from the power supply unit 122 .

When the power consumption is greater than the supplied power (Hf_Pwr), the stimulus management unit 136 generates at least one of the power control unit 135 of the frequency control signal Hf_Ctl and the duty cycle control signal Hf_Duty. control to do At least one of the generated frequency control signal Hf_Ctl and the duty cycle control signal Hf_Duty may reduce power consumption. The generated duty cycle control signal Hf_Duty may include a reduced duty cycle compared to the related art. The generated frequency control signal Hf_Ctl may include a smaller or larger frequency than the existing frequency.

Since it is controlled so that excessive consumption strategies are not generated according to fluctuation factors such as frequency change, user information change, duty cycle change, and damage to the deep heat starting unit 300, damage to the deep heat generating device and the user occurs. can be prevented from becoming

Referring back to FIG. 2 , the environmental cleaner 400 may include a light source and a fan. The stimulus management unit 136 controls the light source of the environmental cleaner 400 to irradiate 405 nm rays harmless to the human body while decomposing porphyrin, a metabolite of bacteria, or control a fan to dry body parts. Through this, the surrounding environment between the deep heat generating device 10 and the user 20 may be improved to be clean.

11 is a diagram exemplarily showing a hardware configuration of the deep heat generating device 10 according to FIG. 1 .

Referring to FIG. 11 , the deep heat generating device 10 includes at least one processor 11 and instructions for instructing the at least one processor 11 to perform at least one operation. It may include a memory (memory) for storing.

The at least one operation may include the components 110 , 120 , 130 of the deep heat generating device 10 described above or other functions or operation methods.

Here, the at least one processor 11 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. can Each of the memory 12 and the storage device 16 may be configured of at least one of a volatile storage medium and a non-volatile storage medium.

For example, memory 12 may be one of read only memory (ROM) and random access memory (RAM), and storage device 16 may be a flash-memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

In addition, the deep heat generating device 10 may include a transceiver 13 for performing communication through a wireless network. In addition, the deep heat generating device 10 may further include an input interface device 14 , an output interface device 15 , a storage device 16 , and the like. Each of the components included in the deep heat generating device 10 may be connected by a bus 17 to communicate with each other.

For example, a communication-enabled desktop computer (desktop computer), a laptop computer (laptop computer), a notebook (notebook), a smart phone (smart phone), a tablet PC (tablet PC), mobile phone ( mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia) broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), and the like.

The methods according to the present invention may be implemented in the form of program instructions that can be executed by 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 computer-readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.

Examples of computer-readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may 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 device described above may be configured to operate as at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or apparatus may be implemented by combining all or part of its configuration or function, or may be implemented separately.

Although the above has been described with reference to the preferred embodiment of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as described in the claims below. You will understand that it can be done.

Claims (5)

In the device for generating deep heat using rhythmic vibration and high frequency,
a vibration starter configured to apply vibration to a body part;
a deep heat starting unit configured to apply high-frequency AC power to a body part; and
A control unit configured to control the vibration starter and the deep heat starter,
The control unit is
A rhythm vibration signal is generated based on preset appropriate frequency range information for each body part, at least one preset EEG signal, a resonance frequency signal and a tuning frequency signal preset for each body part, and based on the generated rhythm vibration signal, the Controls the vibration starter,
A customized high-frequency range is calculated based on user information including at least one of the user's constitution, weight, body fat percentage, age, and gender, and a high-frequency power processing signal is generated based on an applied high-frequency signal belonging to the customized high-frequency range. Controls the deep heat starting unit based on the high frequency power processing signal,
The high frequency power processing signal is generated based on preset power, the applied high frequency signal, and a PWM (Pulse Width Modulation) signal, and at least one of a duty cycle of the PWM (Pulse Width Modulation) signal and the applied high frequency signal. Control the high frequency power processing signal based on one,
Calculating a change in power consumption according to a change in the duty cycle, and calculating a human body energization efficiency based on a change in power consumption according to a change in the duty cycle, wherein the human body energization efficiency is the customized Calculated to correspond to each of a plurality of high frequencies included in the high frequency range, an optimum frequency signal is calculated based on a high frequency having the highest human body conduction efficiency among the plurality of high frequencies, and the optimum frequency signal is converted to the applied high frequency signal change,
monitoring a current variation obtained based on the high-frequency power processing signal, calculating the power consumption based on the current variation, comparing the preset power with the calculated power consumption, and determining that the calculated power consumption is the When the power is greater than the preset power, the deep heat starter is controlled to reduce the power consumption through control of at least one of a duty cycle of the PWM (Pulse Width Modulation) signal and the applied high-frequency signal,
The amount of change in the current obtained based on the high frequency power processing signal that varies according to at least one of a change in the applied high frequency signal, a change in the user information, a change in the duty cycle, and damage to the deep heat starter to monitor,
Deep heat generating device. According to claim 1,
The control unit is
matching at least one sound matching the appropriate frequency range information from a plurality of preset sounds,
Filtering the matched at least one sound based on the appropriate frequency range information to generate a filtered sound signal,
generating a synthesized sound signal by synthesizing the filtered sound signal and the at least one brainwave signal;
generating the rhythm vibration signal by synthesizing a signal obtained by adding the resonance frequency signal and the tuning frequency signal and the synthesized sound signal,
Deep heat generating device. According to claim 1,
The control unit is
extracting features from the user information, and obtaining the custom high frequency range using a machine-learning classification model to specify the custom high frequency range through the extracted features,
The classification model is
For each of the plurality of users, it is learned using the learning data that matches the frequency range to which the high frequency having the highest human body energization efficiency belongs and the user information for each of the plurality of users,
Deep heat generating device. delete delete

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