KR101642462B1 - functional malocclusion diagnostic system - Google Patents

Abstract

In the present invention, a subject performs masticatory examination, and at the same time, an image of a dynamic interlocking force of a tooth, an incidence side of a subject, and an image of a marker mounted on the ball using a strain gauge, The present invention relates to a functional occlusal anomaly diagnosis system capable of more accurately displaying an occlusion state of a patient by displaying it in real time.
The bifurcation force detection system of the present invention includes at least one strain gauge sensor in each of a left oral cavity insertion portion and a right oral cavity insertion portion and detects an occlusal force signal during chewing inserted into the oral cavity. A camera for picking up a face of a subject having a marker attached to at least one of a forehead, a chin, a lip, a wrinkle part, a ball, a hairpin, an under eye, and a temple part; A data collecting unit for converting the bite force signal received from the bite force signal detecting unit into a digital signal; An arithmetic processing unit for receiving the bite force signal transmitted from the data collecting unit, receiving the image outputted from the camera, and outputting the received image to the display unit; And an electromyogram detection unit having an electromyogram electrode and mounting the electromyogram electrode on a ball or a temple part of the subject to detect an electromyogram signal during chewing.

Description

{Functional malocclusion diagnostic system}

More particularly, the present invention relates to a system for diagnosing a functional occlusal anomaly, and more particularly, to a system and method for diagnosing a functional occlusal anomaly by using a strain gauge A functional occlusal anomaly diagnosis system capable of detecting an occlusal force, an image of a subject's incision and an image of a marker mounted on the ball in synchronism with a chewing instruction signal, displaying the same in real time, and more accurately analyzing a patient's occlusal state will be.

Recently, there have been a large number of patients who have received implant treatment that can substitute their own teeth. In addition, there are also a large number of patients who complain of side effects. Infection, inflammation, removal and re-operation, screw fracture and prosthesis dislocation are common. There are many cases. If the tooth-related nerve is damaged, it can not be reversed. If the gum is damaged, re-operation may be difficult.

It is important to plant well for a long time to use the implant. It is important that the most important thing is to manufacture and plant an artificial tooth in consideration of the state of engagement between the artificial tooth and the existing tooth by precise and reliable measurement through the measurement of the occlusal force.

In addition, due to unreasonable molding procedures, many cases of not being able to chew hardly due to the influence of the jaw joint, etc. are required, and accurate measurement of the occlusal force is also required for accurate diagnosis thereof.

In particular, for more precise measurement of the occlusal force, it is necessary to measure the occlusal force according to the movement of the teeth. For this purpose, it is necessary to measure the occlusal force, measure the EMG of the masticatory muscle,

The masticatory muscles (chewing muscles) are muscles that show strong contractility to chew food. One of the muscles is attached to the head bone and the other is attached to the lower jaw to move the lower jaw. That is, as shown in the explanatory diagram of the masticatory muscle (chewing muscle) of Fig. 1 (extracted from the chew muscle of Naver Knowledge Encyclopedia), the masticatory muscles (chewing muscle) move from the temples on both sides of the head to the inside of the face, And the masticatory muscle of the temple part is called the root muscle and the muscle located at each part of the jawbone of the lower jaw through the inside of the ball is called a wicket muscle.

The incongruence of the teeth affects the jaw joint, resulting in joint noise and abnormal lower jaw movement, resulting in incongruity and convulsions of chewing muscles resulting in pain and open mouth symptoms. In addition, it has been reported that the occlusal force changes the growth and shape of the facial part and the shape of the temporomandibular joint. In addition, evaluation of occlusion is clinically important for all masticatory disorders including temporomandibular disorders.

Conventional occlusal force measuring devices have been reported to detect the distribution of occlusal contact points through a pressure sensitive film in the mouth and have been reported to have lower sensitivity and reproducibility and less occlusal contact than the occlusal contact. In addition, the pressure sensitive film can record the position of the occlusal contact point and the occlusal force, but it can interfere with the closure of the lower jaw, making accurate measurement difficult.

Most studies on occlusal contact consider only limited movement when the lower jaw is stationary and the lower jaw occurs vertically. However, during the actual chewing motion, the lower jaw moves dynamically, such as the lateral movement, the inner movement, the inward movement, and the thumb movement.

Therefore, there is a need for an apparatus for measuring an occlusal force that can accurately record dynamic conditions for tooth contact.

In the prior art, Korean Patent Laid-Open No. 10-2011-0067682 relates to an apparatus and a method for measuring an occlusal force of a tooth that can measure an occlusal force of a tooth in real time and can objectify and quantify an occlusal force before and after a dental treatment. A method of measuring the occlusal force of a tooth for continuously measuring a tooth's occlusal force of a patient includes the steps of attaching a strain gauge to a side of a target tooth, measuring signals generated from a strain gauge in response to repeated masticatory of a target tooth And using the measurement signal to calculate an occlusal force acting on the desired tooth. However, in the case of the present invention, since only the occlusal force is measured, it is impossible to know the signal generated in any state, only the noise, etc., and therefore, the accuracy is not high.

Therefore, according to the start signal of visual or auditory stimulation, the subject masticates, and at the same time, the dynamic abutment force of the teeth using the strike gauge and the near-field position of the masticatory muscle of the subject, A functional occlusal anomaly diagnosis system capable of detecting an image and displaying it in real time and more accurately analyzing the occlusal state of a patient is desired.

SUMMARY OF THE INVENTION The object of the present invention is to provide a method and apparatus for masticating a subject by visual or auditory stimulation of a subject by using a strain gauge and a dynamic range of the subject's masticatory muscle, An object of the present invention is to provide a functional occlusion abnormality diagnosis system which can detect an image of a marker mounted on a ball in synchronism with a chewing instruction signal and display it in real time to more accurately analyze the occlusion state of a patient.

In order to solve the above problems, the present invention provides an orthodontic appliance comprising: an occlusal force signal detection unit having one or more strain gauge sensors in each of a left mouth insertion unit and a right mouth insertion unit and detecting an occlusal force signal during chewing inserted in the oral cavity; A camera for picking up a face of a subject having a marker attached to at least one of a forehead, a chin, a lip, a wrinkle part, a ball, a hairpin, an under eye, and a temple part; A data collecting unit for converting the bite force signal received from the bite force signal detecting unit into a digital signal; And an arithmetic processing unit for receiving the bite force signal transmitted from the data collecting unit, receiving the image outputted from the camera, and outputting the received image to the display unit.

And an electromyogram detecting unit that is provided with an electromyogram electrode and attaches the electromyogram electrode to a ball or a temple portion of the examinee to detect an electromyogram signal during chewing.

The operation processing unit detects markers from the image received from the camera and detects the movement trajectory of each marker.

The movement trajectory of the marker is obtained by finding the positional difference of the markers in two consecutive images in chronological order and aligning the positional difference of the markers in chronological order to obtain the locus of movement of the marker.

The marker uses a totalization marker or an infrared marker.

The calculation processing unit obtains the sum of the left occlusal force signals, which is a value obtained by summing the occlusal force signals detected from the strain gauge sensors positioned at the left mouth insertion unit, and calculates the sum of the left and right occlusal force signals, And the sum of the right bite force signals obtained by summing the bite force signals detected from the respective strain gauge sensors located in the right mouth insertion section is obtained and the right side bite force value obtained by averaging the sum of the right side bite force signals Find the signal value.

The calculation processing unit adds the left bite force signal value and the right bite force signal value to obtain the total value of the bite force.

The operation processing unit receives the start point and end point set by the user from the key input unit and obtains an average of the values of the total amount of the occlusal force during the interval between the received start point and end point, .

A graph of the total bite force signal value is output to the display unit and when the user selects a start point and an end point on the graph, the operation processing unit recognizes the selected start point and end point as a start point and an end point for obtaining the average value of the total bite force.

 The calculation processing unit compares the left masticatory muscle EMG signal detected from the electromyogram electrode located in the left ball or the temple portion of the electromyogram electrode mounted on the subject's cheeks with the previously stored work threshold value and determines whether the threshold value And the right masticatory muscle EMG signal detected from the electromyographic electrode located on the right ball or the temple portion of the electromyographic electrode mounted on the subject's cheek is detected as the starting micturition EMG signal of the left masticatory muscle EMG signal, The point of time when the start threshold value is equal to or greater than the start time point is detected and the start time of the right masticatory muscle EMG signal is determined as the start time.

The operation processing unit compares the left masticatory muscle EMG signal with the previously stored mental end threshold at a time after the start of the work of the left masticatory muscle EMG signal and detects when the mental end threshold value has begun to become smaller or equal to the left masticatory muscle EMG signal, The masticatory muscle EMG signal is compared with the previously stored masticatory end threshold to detect when the masticatory end threshold signal starts to become smaller or equal to the right masticatory muscle EMG signal after the starting time of the right masticatory muscle EMG signal, It shall be the end of the work.

The arithmetic processing unit detects an average of the left occlusal force signal from the start of the work of the left masticatory muscle EMG signal to the end of the masticatory function or detects an average of the right occlusal force signal from the start of the masticatory muscle EMG signal do.

From the one of the starting time of the authoring start of the left masticatory muscle EMG signal or the authoring start time of the right masticatory muscle EMG signal to the one of the authoring end time of the left masticatory muscle EMG signal or the authoring end time of the right masticatory muscle EMG signal, .

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The present invention also provides an electromyographic and an occlusal force measuring device for measuring an occlusal force in a mouth of a subject using a strain gauge sensor and detecting an electromyogram at the time of chewing with the electromyogram electrode, And a signal analyzer for analyzing the electromyogram signal, the occlusal force signal, and the video signal. The apparatus for measuring electromyography and the occlusal force includes a C-shaped frame mounted on one side of a body of the occlusal force measurement apparatus, C type frame; An intraoral insertion portion having a strain gauge sensor for detecting an occlusal force signal when inserted into the oral cavity and positioned at both ends of the C-shaped frame; An electromyogram detection unit having an electromyogram electrode and a connection line mounted on the electromyogram electrode, the electromyogram detection unit being mounted on the main body of the occlusal force measurement apparatus; And a body for transmitting the bite force signal and the electromyogram signal detected by the intraoral insertion unit to the signal analysis unit.

An electromyography and an occlusal force measuring device comprises: an occlusal auxiliary part which is made of a synthetic resin material harmless to a human body and which surrounds the oral insertion part; And a mouth insertion portion cover which is positioned between the oral cavity insertion portion and the occlusal auxiliary portion and covers the mouth insertion portion.

An electromyogram signal preprocessing unit for amplifying the electromyogram signal received from the electromyogram detecting unit and removing noise; And an occlusal force signal preprocessing unit located in the mouth insertion unit or the signal transmission unit for amplifying an occlusal force signal received from the strain gage sensor and removing noise, .

In the method of driving a functional occlusion abnormality diagnosis system according to the present invention, the arithmetic processing unit receives an image of an image of a face of a subject wearing a marker, detects a marker from the received image signal, A medical expert) receives the selected marker through a key input unit; The arithmetic processing unit receives the occlusal force signals from the strain gauge sensors located respectively in the left mouth insertion unit and the right mouth insertion unit and detects the left masticatory muscle electromyogram signal detected from the electromyogram electrode located in the left ball or the left temple part, Receiving a right masticatory muscle electromyogram signal detected from an electromyographic electrode located in a right ball or right temple part and receiving an image of a face of a subject wearing a marker from a camera part; The operation processing unit includes a marker movement locus detecting step of detecting the position of the marker set in the marker setting step in the image received in the signal receiving step and obtaining the locus of movement of the marker.

The marker movement locus is obtained by finding the positional difference of the markers in two consecutive images in chronological order and arranging the positional difference of the markers in chronological order.

The operation processing unit obtains a left side bite force signal value which is a value obtained by averaging the bite force signals detected from the strain gauge sensors positioned at the left mouth insertion unit and calculates the right side bite force signal value obtained from the occlusion force detected from the strain gauge sensors located at the right side mouth insertion unit A left and right occlusal force value calculating step of obtaining a right bite force signal value obtained by averaging signals; A total bite force value detection step of summing the left bite force signal value and the right bite force signal value to obtain a total bite force signal value; And outputting the left bite force signal value, the right bite force signal value, the total bite force signal value, and the total bite force signal mean value to the display unit and the memory unit after the total bite force value detection step.

The method as claimed in claim 18, further comprising: a detection interval input step of receiving a detection start point and a detection end point set by the user through a key input unit if a specific interval average detection mode is set after the total amount of bite force value detection step; Detecting an average value of the total bite force signal between the detection start point and the detection end point received in the detection section input step and outputting the detected mean value to the display unit or the memory unit.

Detecting a starting point of time at which the starting threshold value is equal to or greater than a previously stored starting threshold value in a left masticatory muscle EMG signal and a right masticatory muscle EMG signal after detecting the total occlusal force value; A mature end point detecting step of detecting a point in time when a start of a work threshold value is less than or equal to a previously stored mature end point threshold value in a left masticatory muscle EMG signal and a right masticatory EMG signal; Detecting an average value of the total amount of the bite force from the start time of the bite detected in the bite start time detection step to the end time of the bite detected in the bite end time detection step.

According to the functional occlusion abnormality diagnosis system of the present invention, the subject performs mastication according to a visual or auditory stimulation initiation signal, and at the same time, the dynamic bite force of the tooth using the near-field potential of the masticatory muscle of the subject and the strain gauge, It is possible to detect an image of the marker on the entering side and the ball in synchronism with the authoring instruction signal and display it in real time to more accurately measure and analyze the occlusion state of the patient.

The present invention can measure the average occlusal force of various time intervals desired by a user (medical professional), the occlusal force of a specific region and a specific near-field potential, the occlusal force, the movement of a specific portion of the face and the face, .

1 is an explanatory diagram of a common masticatory muscle.
2 is an explanatory view for explaining the use state of the functional occlusion abnormality diagnosis system of the present invention.
3 is a block diagram schematically illustrating the configuration of the occlusal force measurement system of the present invention.
4 is an explanatory view for explaining a marker position that can be attached to the face of the examinee in the functional occlusion abnormality diagnosis system of the present invention.
5 is an explanatory view for explaining a marker setting screen for detecting a moving locus in the present invention.
6 is an explanatory diagram schematically illustrating the configuration of an electromyography and an occlusal force measuring apparatus of the present invention.
7 is a flowchart for explaining the operation of the arithmetic processing unit of the electromyography and the occlusal force measurement system in the occlusion force signal output mode.
Fig. 8 is a flowchart for explaining the operation of the arithmetic processing unit of the occlusal force measurement system in the occlusal force signal and EMG output mode. Fig.
9 is an explanatory view for explaining the analysis of the occlusal force on the basis of the masticatory muscles in the arithmetic processing part in the occlusal force signal and EMG output mode.
10 is a flowchart for explaining the operation of the operation processing unit of the occlusal force measurement system in the occlusal force signal and the electromyogram and the facial movement trajectory output mode.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the functional occlusion abnormality diagnosis system of the present invention will be described in detail with reference to the drawings.

2 is an explanatory view for explaining the use state of the functional occlusion abnormality diagnosis system of the present invention.

The examinee mounts the marker 470 at a specific position on the face and mounts the electromyogram electrode 307 at the position of the root of the tube or the bruise root and places the mouth insertion portion 120 of the electromyographic and bite- And connects the connector (not shown) at the end of the connection part 197 of the electromyogram electrode 307 to the electromyogram detection connection port 165 of the electromyography and the occlusal force measurement device 10. [

The subject performs authoring according to the authoring start signal transmitted from the authoring start notification speaker 450 and picks up an image from the camera unit 400 mounted on the camera mount 490. The picked up image is input to a signal analyzing unit 200). In the present invention, the camera may be provided with three or more images so that the front, left, and right sides of the subject can be imaged. Here, although the speaker 450 is used as the authoring start notification unit, it may be replaced with a light emitting unit that emits light.

The electromyographic and bite force measuring apparatus 10 measures the occlusal force and transmits it to the signal analyzer 200 by radio or wire. The electromyogram electrode 307 is pre-processed by the signal analyzer 200, And transmits it to the wire.

The signal analyzing unit 200 detects each marker 470 in the image received from the camera unit 400 and recognizes the position of the detected marker to detect the movement trend of each marker 470.

The signal analyzing unit 200 obtains the left bite force signal value and the right bite force signal value from the bite force measurement signal received from the electromyographic and bite force measuring apparatus 10 and adds the left bite force signal value and the right bite force signal value to obtain the total bite force value , And obtains the average value of the total amount of the occlusion force signal which is averaged over a predetermined interval.

The signal analysis unit 200 obtains the left masticatory muscle EMG signal and the right masticatory EMG signal received from the electromyographic and bite force measuring apparatus 10 and detects the start time of the author and the author end time from these EMG signals, And detects the average value of EMG between the time of termination of authoring. In addition, the average value of the total amount of the occlusal force between the start time and the end time is determined.

3 is a block diagram schematically illustrating the configuration of the occlusal force measurement system of the present invention.

The apparatus for measuring an occlusion force of the present invention comprises an electromyography and an occlusal force measuring apparatus 10, a signal analyzing unit 200, a camera unit 400 and a speaker 450. The electromyography and the occlusal force measuring apparatus 10 includes an occlusal force signal A detecting unit 105, an occlusal force signal preprocessing unit 170, a data collecting unit 380, and a transmitting unit 390.

The bite force signal detecting unit 105 detects at least one bite force signal by using one or more strain gage sensors 107 mounted on the mouth insertion unit 120. The bite force signal detector 105 includes a strain gauge sensor 107 for detecting the occlusal force by occlusion of the upper and lower teeth and a sensor drive unit (not shown) for driving the strain gage sensor 107.

The strain gage sensor 107 is composed of a piezoelectric element and is means for detecting an occlusal force signal at the time of chewing. The strain gage sensor 107 may be made of any piezoelectric element, for example, National Instruments PS-C miniature pressure sensors.

The sensor driver includes a bridge circuit (not shown) for causing the strain gauge sensor 107 to detect a signal. Generally, it is well known to use a bridge circuit for driving a strain gauge sensor, and a detailed description thereof is omitted here.

The bite force signal preprocessing unit 170 amplifies the bite force signal received from the bite force signal detection unit 105, removes noise, and transmits the bite force signal to the data collection unit 380.

The bite force signal detecting unit 105 and the bite force signal preprocessing unit 170 may be referred to as an occlusal force measuring unit 100. Here, the bite force signal detecting unit 105 and the bite force signal preprocessing unit 170 may be located in the mouth insertion unit 120 or the electromyography and the occlusal force measuring apparatus main body 160 of the electromyography and the occlusal force measuring apparatus 10.

The electromyogram signal detecting unit 305 includes an electromyogram electrode 307 composed of a surface electrode (plate electrode), and is mounted at a position of the masticatory muscle (root muscle) of the subject. That is, it can be mounted on the both sides of the subject's temple, and on the cheeks.

The electromyogram signal preprocessing unit 370 amplifies the electromyogram signals received from the electromyogram electrode 307, removes noise, and transmits the electromyogram signal to the data collection unit 380. The electromyogram signal preprocessing unit 370 may be located in the electromyographic and bite force measuring apparatus main body 160. The output of the electromyogram electrode 307 is connected to the electromyogram and the electromyography And may be transmitted to the signal preprocessing unit 370.

The data collecting unit 380 converts the occlusal force signal received from the occlusal force signal preprocessing unit 170 into a digital signal and converts it into a signal to be transmitted to the signal analyzer 200, And converts the electromyogram signal received from the electromyogram signal preprocessing unit 370 into a digital signal and converts the electromyogram signal into a signal for transmission to the signal analyzer 200, To the analysis unit (200). The data collection unit 380 may be a microprocessor or a microcontroller including an A / D converter.

The transmitter 390 transmits the occlusal force signal and the electromyogram signal received from the data collector 380 to the signal analyzer 200 wirelessly or by wire. The data collecting unit 380 and the transmitting unit 390 may be located in the main body 160 of the electromyography and the occlusal force measuring apparatus.

The signal analyzing unit 200 includes a receiving unit 210, an arithmetic processing unit 250, a display unit 260, a memory unit 270, and a key input unit 280.

The receiving unit 210 receives an occlusal force signal and an electromyogram signal from the electromyography and the occlusal force measuring apparatus 10 wirelessly or wire, and transmits the same to the arithmetic processing unit 250.

The arithmetic processing unit 250 causes the speaker unit 450 to output a sound signal for notifying the start of the production when the drive start signal is received from the key input unit 280 and outputs an occlusal force signal and an EMG signal received from the electromyogram and the occlusal force measurement apparatus 10. [ Stores the image in the memory unit 270 and outputs the image to the display unit 260 and stores the image received from the camera unit 400 in the memory unit 270 and outputs the image to the display unit 260. [

The operation processing unit 250 obtains the sum value of the left side bite force signals, the sum value of the right side bite force signals, the total bite force signal value, the left bite force signal value, the right bite force signal value, And the memory unit 270.

The calculation processing unit 250 receives the left masticatory muscle electromyogram signal from the electromyogram electrode 307, that is, the electromyogram signal received from the left electromyogram electrode 307, received from the right electromyogram electrode 307 And outputs the right masticatory muscle EMG signal, which is the EMG signal, to the display unit 260. The left masticatory muscle EMG signal and the right masticatory EMG signal are compared with the previously stored mental threshold value to detect a point of time when the first mental threshold threshold value is equal to or greater than the first mental threshold EMG signal and the left masticatory muscle EMG signal and the right masticatory EMG signal The point of time at which the first end-of-production threshold value is equal to or smaller than the first end-of-production threshold value is detected as the end point of the author's work. And detects an average value of the total amount of the occlusal force between the start of the work and the end of the work. In addition, the operation processing unit 250 can detect the authoring time, the maximum occlusal force during authoring, and the like through the authoring start time and authoring end time.

The operation processing unit 250 detects each marker 470 on the image photographed before the start of authoring and outputs the detected marker 470 on the screen so that the user (medical professional) And a marker 470 to obtain a locus is set. The arithmetic processing unit 250 detects the position of the set marker 470. That is, the position difference of the set marker 470 is obtained in two consecutive images in chronological order, and is displayed in chronological order to obtain the movement trajectory of the marker 470 and output to the display unit 260 and the memory unit 270. That is, the movement trajectory of the marker is obtained by finding the positional difference of the markers in two consecutive images in chronological order, and aligning the positional difference of the markers in chronological order. As the marker 470, a total reflection marker and an infrared marker can be used.

The display unit 260 displays the sum of the output signals from the arithmetic processing unit 250, that is, the sum of the left bite force signals, the sum of the right bite force signals, the left bite force signal value, the right bite force signal value, (The maximum value of the total value of the total amount of the occlusal force signal between the starting point of the starting and ending of the chewing motion) and the movement trajectory of the specific marker, and the like, in addition to the masticatory EMG signal, the right masticatory EMG signal, Output.

The memory unit 270 stores an output signal from the arithmetic processing unit 250.

The key input unit 280 sets and inputs an occlusal force signal output mode, an occlusal force signal and an electromyogram output mode, an occlusal force signal and a facial movement locus output mode, an occlusal force signal, an electromyogram, and a facial movement locus output mode.

The occlusal force signal output mode is a mode for outputting only the occlusal force signal and does not drive the masticatory muscle EMG signal and the part for detecting the movement locus. As a result, the electromyographic and occlusal force measuring device 10 ).

The occlusal force signal and the electromyogram output mode are modes for simultaneously detecting the bite force signal and the masticatory muscle wave signal. When the bite force signal and the masticatory muscle wave signal are detected, the bite force signal and the EMG output mode are detected using the electromyogram and the occlusal force measuring apparatus 10 equipped with the electromyogram electrode.

The occlusal force signal and the facial movement trajectory output mode are modes for simultaneously detecting the occlusal force signal and the facial movement trajectory. As a result, the electromyographic and occlusal force measurement device 10 and the camera part 400, .

The bite force signal and the electromyogram and facial movement trajectory output mode are modes for simultaneously detecting the bite force signal, the masticatory muscle EMG signal, and the facial movement trajectory. As a result, the electromyogram and the occlusal force measurement device 10, (400).

The camera unit 400 mounts the marker 470 at a specific position on the face of the examinee and shoots an image when chewing is performed. Alternatively, the camera unit 400 captures an image of when the subject performs the authoring without mounting the marker 470. As the marker 470, a total internal reflection marker or an infrared marker can be used.

The speaker 450 is a means for outputting a specific sound to notify the start of the authoring

FIG. 4 is an explanatory view for explaining a marker position that can be mounted on the face of the examinee in the functional occlusion abnormality diagnosis system of the present invention, FIG. 5 is a view for explaining a marker setting screen for detecting a motion locus in the present invention .

In the present invention, the markers 470 are mounted on a specific portion of the subject's face, and the marker 470 can be mounted on the forehead 3 portions F1, L3, L3, L3, L3, L3, L3, L3, L3, L3, U1, U2, and U3, six under eye portions E1 through E6, a nose portion N1, a temple two portion B1 and B2, and the like.

In the present invention, the marker 470 can be partially or wholly attached to the marker mounting position of FIG. 4, and when driving the functional occlusion abnormality diagnosis system of the present invention, a marker 470 for obtaining a moving locus thereof can be set have.

5, the subject is photographed before the detection of the measurement signal, and the operation processing unit 250 extracts the image of the subject from the photographed image, as shown in FIG. 5, when the occlusal force signal, the facial movement trajectory output mode, the occlusal force signal and the electromyogram, The position of the marker 470 is detected, and the user selects the marker 470 from which the movement trajectory is to be found, among the detected markers 470. Thereafter, the measurement is performed, and the arithmetic processing unit 250 obtains the movement locus of the markers 470 set to obtain the movement locus.

6 is an explanatory diagram schematically illustrating a configuration of an electromyography and an occlusal force measuring apparatus according to the present invention. The apparatus 10 for measuring electromyography and the occlusal force includes a C-shaped frame 110, a mouth insertion portion 120, A connection unit 150, an electromyography and bite-strength measuring apparatus main body 160, and an electromyogram detection connection port 165. [

The C-shaped frame 110 has a C-shaped frame, and mouth insertion portions 120 are mounted at both ends.

The mouth insertion portion 120 is formed in a triangular shape and is mounted on both ends of the C-shaped frame 110, and a strain gage sensor 107 is mounted on the inner side to detect an occlusal force signal during chewing. The mouth insertion portion 120 is covered by the mouth insertion portion cover 140 and is surrounded by the occlusal auxiliary portion 130 on the outside thereof. At least one strain gage sensor 107 may be provided at each of the mouth insertion portions 120 located at both ends of the C-shaped frame 110. [

The occlusal auxiliary part 130 is made of synthetic resin material which is soft and harmless to the human body and is configured to surround the mouth insertion part 120 to facilitate the occlusion of the teeth by the examinee, So that excessive force can not be transmitted to the user. The occlusion auxiliary part 130 may be a synthetic resin material including medical silicone or medical rubber. Or the occlusal auxiliary portion 130 may be a gum which is a resilient material including biochemical natural rubber and synthetic rubber which is harmless to the human body.

The mouth insertion portion cover 140 is a means for covering the mouth insertion portion 120 and protecting the mouth insertion portion 120. The mouth insertion portion cover 140 and the occlusal auxiliary portion 130 can be used as a disposable.

The connecting portion 150 is a means for connecting the mouth insertion portion 120 and the electromyography and the occlusal force measuring apparatus main body 160. The connecting portion 150 is provided with an occlusal force signal detected by the mouth insertion portion 120, And a signal line for transmitting to the main body 160 is mounted.

The electromyographic and bite force measuring apparatus main body 160 includes a transmitter 390 for transmitting the received bite force signal or electromyogram signal to an external signal analyzer 200 by radio or wire.

The electromyogram detection connection port 165 is provided in the main body 160 of the electromyographic and bite force measuring apparatus and is attached as means for detachably attaching a connector (not shown) at the end of the connection portion 197 of the electromyogram electrode 307 The output signal of the electromyogram electrode 307 is transmitted to the electromyogram signal preprocessor 370.

7 is a flowchart for explaining the operation of the arithmetic processing unit of the electromyography and the occlusal force measurement system in the occlusion force signal output mode.

Receiving an occlusal force signal from each of the strain gage sensors 107 positioned in the left oral cavity insertion portion 120 and receiving the detected bite force signals from the respective strain gage sensors 107 located in the right oral cavity insertion portion 120, And receives the detected bite force signal from the bite force sensor 107 (S110). For example, if three strain gage sensors 107 are installed at a distance from the left mouth insertion portion 120 and the right mouth insertion portion 120, respectively, three strain gage sensors 107 may be provided from the left mouth insertion portion 120, (More precisely, the bite force signal of the right electrodes) from the right mouth insertion unit 120 and receives the right side bite force signal (more precisely, the right side bite force signal) from the right mouth insertion unit 120. [

In the left and right occlusal force value calculating step, the arithmetic processing unit 250 calculates the sum of the left occlusal force signals, which is a value obtained by summing the respective occlusion force signals respectively detected from the strain gauge sensors 107 placed in the left mouth insertion unit 120 And the arithmetic processing unit 250 obtains the left bite force signal value obtained by averaging the sum of the left and right occlusal force signals detected by the strain gage sensors 107 located at the right mouth insertion unit 120 And the right side bite force signal value obtained by averaging the sum of the right side bite force signals is obtained (S130). For example, when three strain gauge sensors 107 are provided in the left oral cavity insertion portion 120 and the right oral cavity insertion portion 120, three left occlusal force signals are averaged to obtain an average, and three The right occlusal force signals are summed to obtain an average.

In the total bite force value detection step, the total bite force signal value is obtained by summing the left bite force signal value and the right bite force signal value (S140). For example, when three strain gauge sensors 107 are provided on the left and right oral insertion parts 120 and 120, respectively, the left side bite force signal value obtained by averaging the three left side bite force signals, The right bite force signal values obtained by averaging the three right bite force signals are added to obtain the total bite force signal value.

In the result output step, the left bite force signal value, the right bite force signal value, the total bite force signal value, and the total bite force signal mean value are output to the display unit 260 and the memory unit 270 (S190).

When the user (health care professional) sets a specific section average detection mode in the step of determining whether or not a specific section is detected, the set value is received through the key input unit 280. The operation processing unit 250 determines whether a specific section average detection mode If not set, the process is terminated (S250).

If a specific section average detection mode is set in the detection interval input step, the detection interval, i.e., the detection start point and the detection end point are received (S260). In this case, if the user (medical professional) clicks the start point and the end point on the graph of the total value of the bite force signal displayed on the display unit 260, this can be set to the detection interval.

The mean value of the total bite force signal, the mean value of the left bite force signal, or the mean value of the right bite force signal between the detection intervals input in the detection interval input step is detected and output to the display unit 260 and the memory unit 270 (S270) The process returns to step S250 of determining whether or not a specific section average is detected.

Fig. 8 is a flowchart for explaining the operation of the arithmetic processing unit of the occlusal force measurement system in the occlusal force signal and EMG output mode. Fig. 9 is an explanatory view for explaining the analysis of the occlusal force on the basis of the masticatory muscles in the arithmetic processing part in the occlusal force signal and EMG output mode.

Receiving an occlusal force signal detected from each strain gage sensor 107 positioned at the left oral cavity inserting portion 120 and receiving an occlusal force signal detected from each strain gage sensor 107 positioned at the left oral cavity inserting portion 120, And receives an occlusal force signal respectively detected from the strain gauge sensor 107. At the same time, the left masticatory muscle EMG signal (see Fig. 3), which is an electromyogram signal received from the electromyogram electrode 307 mounted on the subject's yaw, i.e., the left electromyogram electrode 307 (More specifically, the electromyogram signal detected from the electromyogram electrode located in the left ball) and the right masticatory muscle electromyogram signal (more specifically, the electromyogram signal detected from the electromyogram electrode located in the right ball), which is an electromyogram signal received from the right electromyogram electrode 307, (S120).

In the left and right occlusal force value calculating step, the arithmetic processing unit 250 calculates the sum of the left occlusal force signals, which is a value obtained by summing the respective occlusion force signals respectively detected from the strain gauge sensors 107 placed in the left mouth insertion unit 120 And the arithmetic processing unit 250 obtains the left bite force signal value obtained by averaging the sum of the left and right occlusal force signals detected by the strain gage sensors 107 located at the right mouth insertion unit 120 And the right side bite force signal value obtained by averaging the sum of the right side bite force signals is obtained (S130).

In the total bite force value detection step, the total bite force signal value is obtained by summing the left bite force signal value and the right bite force signal value (S140).

In the step of detecting the starting time of the work, each of the left masticatory muscle EMG signal and the right masticatory EMG signal is compared with the previously stored mental threshold, and a time point at which the first mental threshold threshold value is equal to or greater than the first mental threshold threshold value is detected.

The method according to any one of claims 1 to 7, further comprising a step of detecting a time when a first masticatory end threshold value is less than or equal to a first masticatory end threshold value after comparing a left masticatory EMG signal and a right masticatory EMG signal with a pre- (S160).

In operation S170, the average value of the total bite force, the mean value of the left bite force signal, or the mean value of the right bite force signal between the start time and the end time of authoring is detected.

 In the result output step, the left bite force signal value, the right bite force signal value, the total bite force signal value, and the total bite force signal mean value are output to the display unit 260 and the memory unit 270 (S190).

When the user (health care professional) sets a specific section average detection mode in the step of determining whether or not a specific section is detected, the set value is received through the key input unit 280. The operation processing unit 250 determines whether a specific section average detection mode If not set, the process is terminated (S250).

If a specific section average detection mode is set in the detection interval input step, the detection interval, i.e., the detection start point and the detection end point are received (S260). In this case, if the user (medical professional) clicks the start point and the end point on the graph of the total value of the bite force signal displayed on the display unit 260, this can be set to the detection interval.

In a step of detecting the average value of the total strength signal of a specific section, the average value of the total bite force signal between the detection intervals input in the detection interval input step is detected and output to the display unit 260 and the memory unit 270 (S270) The process returns to the average detection determination step S250.

In the present invention, the authoring threshold value and authoring end threshold value may be stored at the beginning of use, and in some cases, may be stored at the time of factory shipment. When the authoring threshold is stored at the beginning of use, the maximum full bite force signal of the user can be detected to be about 1/5 to about 1/2 of the value. When the end-of-chew threshold is initially stored, the user's maximum full bite force signal can be detected to be about 1/3 to about 3/5 of the value.

In the present invention, when the left masticatory muscle EMG signal and the right masticatory EMG signal are compared with the previously stored mental end threshold, a point of time when the first mental end threshold value is less than or equal to the first mental end threshold value is detected as the mental end point, And detects an average value of the total amount of the occlusal force between the start of the work and the end of the work. In addition, the operation processing unit 250 can detect the authoring time and the maximum occlusal force during authoring through the authoring start time and authoring end time.

10 is a flowchart for explaining the operation of the operation processing unit of the occlusal force measurement system in the occlusal force signal and the electromyogram and the facial movement trajectory output mode.

In step S103, the arithmetic processing unit 250 detects a marker on the basis of the received image signal (S105). In step S103, the arithmetic processing unit 250 detects an image of the face of the subject, The user (medical specialist) among the detected markers selects a marker for detecting the movement trajectory, and the operation processing unit 250 receives the selected marker through the key input unit 280 (S107).

The signal receiving step receives each of the detected bite force signals from each of the strain gage sensors 107 placed in the left mouth insertion portion 120 and detects the respective bending force signals from the respective strain gage sensors And the left masticatory muscle EMG signal (EMG signal) received from the electromyogram electrode 307, i.e., the left electromyogram electrode 307, mounted on the subject's bilateral pubis (or both temples) (More specifically, the EMG signal detected from the electromyogram electrode located in the left ball) and the EMG signal received from the right EMG electrode 307 (more specifically, the EMG signal detected from the electromyogram electrode located in the right ball, And also receives an image from the camera unit 400 (S115).

In the marker moving locus detecting step, the arithmetic processing unit 250 detects the position of the marker 470 set in the marker setting step, obtains the position difference of the set marker 470 in two consecutive images in chronological order, (S125), and stores it in the memory unit 270 (S125).

In the left and right occlusal force value calculating step, the arithmetic processing unit 250 calculates the sum of the left occlusal force signals, which is a value obtained by summing the respective occlusion force signals respectively detected from the strain gauge sensors 107 placed in the left mouth insertion unit 120 And the arithmetic processing unit 250 obtains the left bite force signal value obtained by averaging the sum of the left and right occlusal force signals detected by the strain gage sensors 107 located at the right mouth insertion unit 120 And the right side bite force signal value obtained by averaging the sum of the right side bite force signals is obtained (S130).

In the total bite force value detection step, the total bite force signal value is obtained by summing the left bite force signal value and the right bite force signal value (S140).

In the step of detecting the starting time of the work, each of the left masticatory muscle EMG signal and the right masticatory EMG signal is compared with the previously stored mental threshold, and a time point at which the first mental threshold threshold value is equal to or greater than the first mental threshold threshold value is detected.

The method according to any one of claims 1 to 7, further comprising a step of detecting a time when a first masticatory end threshold value is less than or equal to a first masticatory end threshold value after comparing a left masticatory EMG signal and a right masticatory EMG signal with a pre- (S160).

In operation S170, the average value of the total bite force, the mean value of the left bite force signal, or the mean value of the right bite force signal between the start time and the end time of authoring is detected.

Detecting a marker movement locus at the time of chewing, detecting a marker locus of movement from the start of the movement to the end of the movement in the movement locus obtained at the marker movement locus detection step as a marker movement locus at the time of chewing, The electromyogram up to the termination is detected (S175).

 In the result output step, the left bite force signal value, the right bite force signal value, the total bite force signal value, the total bite force signal average value, the marker movement locus at the time of chewing, and the EMG signal are output to the display unit 260 and the memory unit 270 S195).

When the user (health care professional) sets a specific section average detection mode in the step of determining whether or not a specific section is detected, the set value is received through the key input unit 280. The operation processing unit 250 determines whether a specific section average detection mode If not set, the process is terminated (S250).

If a specific section average detection mode is set in the detection interval input step, the detection interval, i.e., the detection start point and the detection end point are received (S260). In this case, if the user (medical professional) clicks the start point and the end point on the graph of the total value of the bite force signal displayed on the display unit 260, this can be set to the detection interval.

An electromyogram signal, and a marker movement trajectory between the detection intervals input in the detection interval input step, and outputs the detected mean values to the display unit 260 and the memory unit 270 (S275), and the process returns to step S250 of determining whether or not a specific section average is detected.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Modification is possible. Accordingly, the spirit of the present invention should be understood only in accordance with the following claims, and all equivalents or equivalent variations thereof are included in the scope of the present invention.

10: electromyographic and occlusal force measuring apparatus 100: occlusal force measuring unit
105: Occlusal force signal detecting unit 107: Strain gauge sensor
110: C-shaped frame 120: mouth insertion part
130: occlusal auxiliary part 140: mouth insertion part cover
150: connection part 160: electromyography and occlusal force measuring device main body
165: electromyogram detection connection port 170: an occlusal force signal preprocessing section
197: connection line 200: signal analysis section
207: Electromyography electrode 210: Receiver
250: operation processing unit 260:
270: memory unit 280: key input unit
305: EMG signal detection unit 370: EMG signal preprocessing unit
380: Data collecting section 390: Transmitting section
400: camera unit 450: speaker unit
470: Marker 490: Camera mount

Claims (22)

An occlusal force signal detecting unit having at least one strain gauge sensor on each of a left mouth insertion unit and a right mouth insertion unit and detecting an occlusal force signal during chewing inserted in the oral cavity;
A camera for picking up a face of a subject having a marker attached to at least one of a forehead, a chin, a lip, a wrinkle part, a ball, a hairpin, an under eye, and a temple part;
A data collecting unit for converting the bite force signal received from the bite force signal detecting unit into a digital signal;
An arithmetic processing unit for receiving the bite force signal transmitted from the data collecting unit, receiving the image outputted from the camera, and outputting the received image to the display unit;
An electromyogram detection unit having an electromyogram electrode and mounting an electromyogram electrode on a ball or a temple of a subject to detect an electromyogram signal during chewing;
And the arithmetic processing unit includes:
The masticatory muscle EMG signal is compared with the masticatory threshold and the time point at which the masticatory threshold value signal becomes equal to or greater than the masticatory EMG signal is detected as the starting point of the masticatory EMG signal,
The masticatory EMG signal is compared with the chewing end threshold to detect the point at which the chewing end threshold value becomes less or equal to the chewing end point of the masticatory muscle EMG signal,
Wherein the average of the bite force signals from the start of the masticatory muscle wave signal to the masticatory end point of the masticatory muscle wave signal is detected. delete The method according to claim 1,
Wherein the operation processing unit detects the markers from the image received from the camera and detects the movement trajectory of each marker. The method of claim 3,
Wherein the movement trajectory of the marker is obtained by obtaining the positional difference of the markers in two consecutive images in chronological order and arranging the positional difference of the markers in chronological order to obtain the movement locus of the marker. The method of claim 3,
Wherein the marker is a total internal marker or an infrared marker. The image processing apparatus according to claim 3,
The sum of the left bite force signals obtained by summing the bite force signals detected from the strain gauge sensors located at the left mouth insertion portion is obtained and the left bite force signal value obtained by averaging the sum of the left bite force signals is obtained,
The sum of the right bite force signals obtained by summing the bite force signals detected from the strain gauge sensors positioned at the right mouth insertion unit is obtained and the right bite force signal value obtained by averaging the sum of the right bite force signals is obtained Wherein the functional occlusion abnormality diagnosis system comprises: 7. The image processing apparatus according to claim 6,
And the total bite force value is obtained by adding the left bite force signal value and the right bite force signal value. The image processing apparatus according to claim 7,
If the specific section average detection mode is set, the start point and the end point set by the user are received from the key input unit, an average of the values of the total amount of the occlusal force during the interval between the received start point and end point is obtained, Functional occlusion abnormality diagnosis system characterized by. 9. The method of claim 8,
A graph of the total bite force signal value is output to the display unit and when the user selects a start point and an end point on the graph, the operation processing unit recognizes the selected start point and end point as a start point and an end point for obtaining the average value of the total bite force Functional occlusion abnormality diagnosis system characterized by. 10. The image processing apparatus according to claim 9,
The left masticatory muscle EMG signal detected from the electromyographic electrode located on the left ball or the temple portion of the electromyogram electrode mounted on the subject's cheeks is compared with the chewing start threshold value to detect the point at which the chewing start threshold value is started to become greater or equal, The masticatory muscle EMG signal is considered to be the starting point of the work,
The right masticatory muscle EMG signal detected from the electromyographic electrode located on the right ball or the temple portion of the electromyogram electrodes mounted on the subject's cheeks is compared with the chewing start threshold value to detect when the chewing start threshold value curve starts to be equal to or greater than the start threshold value, Wherein the functional micturition abnormality diagnosis signal is a start time of the masticatory muscle EMG signal. The image processing apparatus according to claim 7,
After the start of the authoring of the left masticatory muscle EMG signal, the left masticatory muscle EMG signal is compared with the mating end threshold to detect when the mating end threshold value starts to be less or equal to the left masticatory muscle EMG signal,
After the start of the right masticatory muscle EMG signal, the right masticatory muscle EMG signal is compared with the masticatory end threshold value to detect when the masticatory end threshold signal starts to become smaller or equal to the right masticatory muscle EMG signal, Wherein the functional occlusion abnormality diagnosis system comprises: 12. The method of claim 11,
Detecting the mean of the left occlusal force signal from the start of the mastication of the left masticatory muscle EMG signal to the end of the masticatory signal,
Wherein the average of the right occlusal force signal from the start of the mastication of the right masticatory muscle EMG signal to the masticatory end of the right masticatory muscle EMG signal is detected. 13. The method of claim 12,
Detecting the average value of the total amount of the occlusion force from one of the starting time of the authoring of the left masticatory muscle EMG signal or the authoring start time of the right masticatory muscle EMG signal to one of the authoring end time of the left masticatory muscle EMG signal or the authoring end time of the right masticatory EMG signal Functional occlusion abnormality diagnosis system characterized by. delete The method according to claim 1,
An electromyogram and an occlusal force measuring device including an occlusal force signal detecting part and an electromyogram detecting part,
A C-shaped frame mounted on one side of the body of the electromyographic and occlusal force measuring device and made of a C-shaped frame;
An intraoral insertion portion having a strain gauge sensor for detecting an occlusal force signal when inserted into the oral cavity and positioned at both ends of the C-shaped frame;
A body for transmitting an occlusal force signal and an electromyogram signal detected by an intraoral insertion unit to a signal analyzer;
Further comprising:
Wherein the connecting line attached to the electromyogram electrode of the electromyogram detecting unit is mounted on the main body of the electromyogram and the occlusal force measuring apparatus. 16. The apparatus according to claim 15, wherein the electromyographic and bite-
An occlusal auxiliary part made of a synthetic resin material harmless to the human body and surrounding the mouth insertion part;
Further comprising a mouth insertion portion cover positioned between the oral cavity insertion portion and the occlusal auxiliary portion and covering the oral cavity insertion portion. 16. The method of claim 15,
An electromyogram signal preprocessing unit for amplifying the electromyogram signal received from the electromyogram detecting unit and removing noise;
An occlusal force signal preprocessing unit located in the mouth insertion unit or the signal transmission unit for amplifying an occlusal force signal received from the strain gage sensor and removing noise;
Lt; / RTI >
An electromyogram detection unit and an occlusal force signal preprocessing unit are built in the body of the occlusal force measurement apparatus. The operation processing unit receives the image of the face of the subject wearing the marker, detects the marker from the received video signal, and receives the marker selected by the user (medical professional) among the detected markers through the key input unit. Setting step;
The arithmetic processing unit receives an occlusal force signal from the strain gauge sensors located respectively in the left mouth insertion portion and the right mouth insertion portion,
A left masticatory muscle EMG signal detected from an electromyographic electrode located in the left ball or left temple part and a right masticatory EMG signal detected from an electromyographic electrode located in the right ball or right temple part,
A signal receiving step of receiving an image of an image of a face of a subject wearing a marker from a camera part;
The arithmetic processing unit may include a marker movement locus detecting step of detecting a position of the marker set in the marker setting step in the image received in the signal receiving step and obtaining a moving locus of the marker;
A starting point detection step of detecting a point in time when a starting point of the starting threshold value is equal to or greater than a starting threshold value in a left masticatory muscle EMG signal and a right masticatory muscle EMG signal;
A mature end point detection step of detecting a point in time when the start of the mature threshold signal is less than or equal to the mating end threshold value in the left masticatory muscle EMG signal and the right masticatory EMG signal;
Detecting an average value of the total amount of the occlusion force from the authoring start point detected at the authoring start point detecting step to the authoring end point detected at the authoring end point detecting step;
Wherein the first and second bite force measuring systems are configured to measure the bite force. 19. The method of claim 18,
Wherein the marker movement locus is obtained by obtaining positional differences of the markers in two consecutive images in chronological order and aligning the positional difference of the markers in chronological order. 19. The method of claim 18,
Between the marker movement locus detecting step and the authoring start point detecting step,
The operation processing unit obtains a left side bite force signal value which is a value obtained by averaging the bite force signals detected from the strain gauge sensors positioned at the left mouth insertion unit and calculates the right side bite force signal value obtained from the occlusion force detected from the strain gauge sensors located at the right side mouth insertion unit A left and right occlusal force value calculating step of obtaining a right bite force signal value obtained by averaging signals;
A total bite force value detection step of summing the left bite force signal value and the right bite force signal value to obtain a total bite force signal value;
Outputting the left bite force signal value, the right bite force signal value, the total bite force signal value, and the total bite force signal mean value to the display unit and the memory unit after the total bite force value detection step;
Further comprising the steps of: detecting a malfunction of the functional occlusion abnormality diagnosis system; 21. The method of claim 20,
A detection interval input step of receiving a detection start point and a detection end point set by the user via a key input unit if a specific section average detection mode is set;
Detecting an average value of the total bite force signal average value of the detection interval in which the mean value of the total bite force signal between the detection start point and the detection end point received in the detection interval input step is detected and output to the display unit or the memory unit;
Further comprising the step of: measuring the position of the occlusal force of the user.
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