JP2011167271A - Denture diagnostic system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a denture diagnostic system allowing a dentist to easily perform the uniform diagnosis by displaying an objective evaluation score of occlusion of dentures attached to a patient. <P>SOLUTION: Brain waves of the patient with the attached dentures are measured by an electroencephalograph 10, and the measured brain wave information is transmitted to a personal computer 20 connected via cables. The personal computer 20 computes the evaluation score by comparing the transmitted brain wave information with a determination index 27 statistically induced by sampling, and the computed evaluation score is displayed on a screen. The computed evaluation score is stored in a storage part 22 as a diagnosis history together with the measured information, so that the evaluation scores can be confirmed as the process of treatment in time series. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a denture diagnosis system that enables uniform diagnosis of indentation meshing in a dentist.

There is no objective common rule regarding the meshing of dentures, and it is largely left to the subjective judgment of the dentist. As a result, there is `` variation '' due to the knowledge, experience, and technology of the dentist. Choosing a physician is the most important and most painful matter. In addition, the poor meshing has an adverse effect on the autonomic nerves related to the function of the whole body and the spinal nerves that control the movement of the organs and tissues, and places that are not related to the teeth may also malfunction.

JP 2001-161652 A JP 05-253248 A

An object of the present invention is to provide a denture diagnosis system capable of reducing evaluation "variation" of denture diagnosis due to dentist's knowledge, experience, and technique, and enabling evaluation with an objective quantitative score.
Another object of the present invention is to provide a denture diagnosis system that can contribute to preventive medicine by improving the meshing.
Still another object of the present invention is to provide a denture diagnosis system that removes pains such as “choice of dentists” and “anxiety about treatment results” from patients who require dentures.

The denture diagnosis system according to the present invention includes a diagnostic processing device that performs diagnosis based on electroencephalogram information sent from an electroencephalograph, and the diagnostic processing device receives receiving electroencephalogram data from the electroencephalograph. A capturing means for capturing the received electroencephalogram data into the diagnostic personal computer, a display device for displaying a measurement value calculated based on the captured electroencephalogram data, and an input means for inputting an event (notch) at the time of measuring the electroencephalogram Determining means for calculating a score by comparing the measured value with a determination index, means for storing the measured value and the score, display means for displaying the measured value in a graph, and the measured value and the score. It is characterized by comprising printing means for printing, display means for displaying a time-series transition of the judgment score, and a storage device for storing measurement data composed of the measurement values and the scores.

Below, the code | symbol used by (the form for inventing) is attached | subjected, and the means for solving a subject is described.

The personal computer (20) of the present invention includes a communication unit (25) that receives electroencephalogram information measured by the portable electroencephalograph (10), a display unit (24) that displays the graph and evaluation score of the electroencephalogram, An input unit (23) for inputting an event (notch) at the time of measuring an electroencephalogram, a storage unit (22) for storing the record and determination index, the system setting value, and basic information of the patient; And a calculation unit (21) for executing a diagnostic information processing program (30) including measurement data determination means (34) for determining meshing.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes reception program starting means (31) for starting a program for receiving electroencephalogram data in the portable electroencephalograph (10).

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention associates the received electroencephalogram data with the patient information (26) and stores the measurement data fetching means (32) stored in the database in the storage unit (22). ).

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes notch input means (33) for inputting the acquired event (notch) on the graph on the graph.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention is a measurement data determination means for calculating a score by comparing the measured value calculated based on the acquired electroencephalogram data with the determination index information (27). (34).

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes measurement data storage means (35) for recording the measurement value and the score.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes measurement data display means (36) for displaying five types of graphs from the acquired measurement data.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes measurement data printing means (37) that prints five types of graphs and the score from the acquired measurement data.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention includes determination transition display means (38) for displaying a time-series transition graph of determination results (evaluation scores) from measurement data acquired in the past.

The diagnostic information processing program (30) executed by the personal computer (20) of the present invention is a master registration means (registering or changing patient information (26) and setting information (29) used by the diagnostic information processing program (30)). 39).

The patient information (26) stored in the personal computer (20) of the present invention includes a patient code, patient name, date of birth, and sex.

The determination index information (27) stored in the personal computer (20) of the present invention includes the ideal values of the following items used for the determination of the clarity and thinking activity of the brain and the ratio (weight) of the importance of the items. )including.
(Brain Clarity): α%, β% Histogram in the following 5 items
Maximum value of 1α% (ratio of α wave signal included in the whole brain wave including α wave and β wave)
Maximum value of 2β% (ratio of β wave signal contained in whole brain wave including α wave and β wave)
3α%, β% maximum value interval
4α% area
5β% area (thinking activity): The following three items in the β / α histogram
Average value of 1β wave / α wave
Maximum value of 2β wave / α wave
Area of 3β wave / α wave These determination indexes are indexes uniquely derived by a dentist based on patient data actually sampled for the present invention, and are encrypted and stored.

The measurement information (28) stored in the personal computer (20) of the present invention includes the measurement date and time for each measurement time, the measured electroencephalogram data, the input notch information, and the determined evaluation score. The measurement information (28) is stored in time series as measurement data associated with patient information.

The setting information (29) stored in the personal computer (20) of the present invention includes information on dental clinics using the system, the points of the two evaluation scores, the background color when displaying the score, the color and line width of each graph, Includes line type and notch item information.

As described in detail above, according to the present invention, dentist knowledge, experience, and technology, "variation" in denture diagnosis is reduced, and evaluation with an objective quantitative score is possible. The judgment material and the judgment material for completion of treatment can be shown to the dentist. Furthermore, it can be expected to contribute to preventive medicine by improving the meshing.

FIG. 1 shows the configuration of a denture diagnosis system used in the present invention. FIG. 2 shows a functional block diagram of the denture diagnosis system. FIG. 3 shows an operation flow of the denture diagnosis system. FIG. 4 shows a formula for calculating the evaluation score. FIG. 5 shows an evaluation score calculation flow. FIG. 6 shows an example of a display screen as a result of determining and evaluating the measured electroencephalogram data. FIG. 7 shows an example of a graph display screen of measured electroencephalogram data. FIG. 8 shows an example of graphs of measured electroencephalogram data and printing of determination results. FIG. 9 shows an example of a time-series transition screen of evaluation scores determined so far.

The denture diagnosis system of the present invention includes a portable electroencephalograph 10 that measures the electroencephalogram of a patient wearing a denture, and communicates with the portable electroencephalograph 10 to acquire electroencephalogram data of the patient and diagnoses the meshing of the denture. It includes a diagnostic personal computer 20 that performs data processing, and a color printer 40 that prints the diagnostic results and the data processed results.

FIG. 1 shows a configuration of a denture diagnosis system used in the present invention. The denture diagnosis system includes a portable electroencephalograph 10, a diagnostic personal computer 20, and a color printer 40. The portable electroencephalograph 10 and the diagnostic personal computer 20, and the color printer 40 and the diagnostic personal computer 20 are connected by cables.

The portable electroencephalograph 10 is a portable electroencephalograph capable of measuring an electroencephalogram. Digitized α wave and β wave signals are transmitted to the diagnostic personal computer 20 via a cable.

The diagnostic personal computer 20 includes a calculation unit 21, a storage unit 22, an input unit 23, a display unit 24, and a communication unit 25. The calculation unit 21 is a calculation device including a CPU and a memory. In the calculation unit 21, the reception program starting unit 31, the measurement data fetching unit 32, the notch input unit 33, the measurement data determination unit 34, the measurement data storage unit 35, the measurement data display unit 36, the measurement data printing unit 37, and the determination transition display A diagnostic information processing program 30 including means 38 and master registration means 39 is executed.

The reception program activation means 31 activates a program for receiving electroencephalogram data in the portable electroencephalograph. After the activated reception program ends normally, the process automatically returns to the diagnostic information processing program 30. The measurement data capturing means 32 associates the received electroencephalogram data with the patient information 26 and stores it in the database in the storage unit 22. The notch input means 33 can mark an event (notch) that has been affected during measurement on the graphed measurement data with a mouse on the graph and input the event content. The presence / absence of the input event is displayed as a ruled line on the graph, and the contents of the input event are displayed by moving the mouse pointer to the ruled line. The measurement data determination means 34 compares the value calculated based on the received electroencephalogram data with preset determination index information 27, and calculates an evaluation score. The evaluation score is determined based on the graph shape (α%, β% histogram) of the α wave and β wave occurrence distributions in which the activity of brain activity in the prefrontal cortex appears, and the behavior of the prefrontal cortex The “thinking activity level” is determined based on the graph shape (β / α histogram) of the occurrence distribution of the thinking activity value related to the conscious activity. Regarding “brain clarity”, it is generally said that the brain activity of the prefrontal cortex is high when the graphs of the α wave and β wave are clean mountain-shaped and clearly divided into left and right. As for the “thinking activity level”, it is generally said that the more the vertex of the graph is on the right, the higher the brain activity level. Therefore, the two evaluation scores are the measured value of each item calculated from the electroencephalogram sent from the electroencephalograph and the ideal value of each item set in advance in the diagnostic computer for the items described below. The score of each item, which is derived by multiplying the divergence rate by the importance rate (weight) of each item, which is also set in advance in the diagnostic PC, is the brain clarity score of 5 items, It is set as the value totaled for three items as a score.
A (Clarity of the brain): α% and β% of the following 5 items in the histogram
Maximum value of 1α% (ratio of α wave signal included in the whole brain wave including α wave and β wave)
Maximum value of 2β% (ratio of β wave signal contained in whole brain wave including α wave and β wave)
3α%, β% maximum value interval
4α% area
5β% area B (thinking activity): The following three items in the β / α histogram
Average value of 1β wave / α wave
Maximum value of 2β wave / α wave
The area divergence rate of 3β wave / α wave is calculated as 1− (| ideal value−measured value | / ideal value). That is, the absolute value of the difference between the ideal value and the measured value is divided by the ideal value and subtracted from 1. For example, when the ideal value is 10 and the measured value is 8, 1− (2 ÷ 10) is 0.8. The score of each item is calculated by the divergence rate × the item weight. The total weight of the items is set to 100 for both the brain clarity and the thinking activity. In the above example, the score when the item weight is 60 is 0.8 × 60, which is 48 points. As shown in the calculation formula, the score is higher as it is closer to the ideal value, and lower as it is far from the ideal value. However, if the measured value is more than twice the ideal value, the score of that item is 0 (zero). Further, the larger the item weight, the higher the item, and the smaller the item weight, the lower the value even if it is close to the ideal value. FIG. 4 shows an evaluation score calculation formula. An ideal value and weight determination index i for each evaluation item is an index uniquely derived by a dentist based on patient data actually sampled for the present invention, and is stored as determination index information (27) in the diagnosis personal computer. It is encrypted and stored in advance. The measurement value M is a measurement value for each evaluation item calculated with an electroencephalogram sent from the electroencephalograph. Scores of brain clarity A and thinking activity B are calculated with the values of the eight evaluation items in total. As is a score of five evaluation items for deriving a brain clarity score. Each score (S1 to S5) is calculated by the above formula, and the sum of these S1 to S5 is the brain clarity. The score A. Bs is a score of three evaluation items for deriving a score of thinking activity level. Each score (S6 to S8) is calculated by the above formula, and a value obtained by summing up S6 to S8 is a thinking activity level. Is score B. FIG. 5 shows an evaluation score calculation flow. Steps F1 to F6 are flows for calculating a brain clarity score. First, the score of the maximum value of α% is (F1), the score of the maximum value of β% is (F2), the score of the maximum value interval of α% and β% is (F3), and the score of the area of α% is (F4) ) And β% area scores (F5) are calculated using the above formulas. At this time, if the measured value is more than twice the ideal value, the score of the item is calculated as 0 (zero). When all the five scores are calculated, a value obtained by adding the five scores is a brain clarity score (F6). The steps from F7 to F10 are a flow for calculating the score of the thinking activity level. First, the average score of β wave / α wave is (F7), the maximum score of β wave / α wave is (F8), and the score of the area of β wave / α wave is (F9) by the above formulas. To do. At this time, if the measured value is more than twice the ideal value, the score of the item is calculated as 0 (zero). When all three scores are calculated, a value obtained by adding the three scores is a score of thinking activity (F10). The calculated score is displayed on the screen together with α% and β% histograms representing the clarity of the brain, and β / α histograms representing the degree of thinking activity. FIG. 6 shows an example of the display screen. There are two types of screens: α% and β% histograms representing the clarity of the brain, and β / α histograms representing the degree of thinking activity. Each of these values and graphs, the calculated score, and each evaluation item The score details are displayed. The score of each evaluation item is displayed in an illustration for easy understanding. By changing the background color of the evaluation score according to the color setting for each score range of the setting information 29, it is possible to display the pass / fail of treatment easily. For example, red is less than 50 points, yellow is less than 50 to 70 points, and green is more than 70 points. Switching between the two evaluation screens is done by clicking a button on the screen. When the previous measurement information of this patient is registered, the screen display can be switched to the previous determination result screen by clicking the previous data button. In addition, measurement information taken in by mistake can be deleted from the database by using the delete button on this screen. Furthermore, when the content (ideal value or weight) of the determination index information 27 used in the determination is corrected, it is possible to recalculate the evaluation score of the previous measurement data with the latest determination index by using the reload button. is there. The measurement data display means 36 displays five types of graphs from the acquired measurement data. The five types of graphs are: S wave, α wave, β wave time series numerical graph, α wave, β wave time series occurrence rate graph, α wave, β wave generation distribution graph (α%, β% histogram) , A time-series numerical graph of thinking activity values, and an occurrence distribution graph (β / α histogram) of thinking activity values. FIG. 7 shows an example of the display screen. The S wave is a whole brain wave signal including an α wave and a β wave. Each graph is switched by clicking a button on the screen. The numerical value is displayed with the graph display. In addition, in the time series numerical graph of S wave, α wave, β wave, time series occurrence rate graph of α wave, β wave, and time series numerical graph of thinking activity value, it is possible to enlarge the display by specifying the range. To do. Specifically, after clicking the range designation button, dragging and dropping on the graph designates the enlarged display range, and clicking the range designation button again enlarges the designated range. Click the reload button to return to the full view again. Furthermore, when another measurement information of this patient is registered, the screen display can be switched to the previous or next measurement data display by clicking the previous data or next data button. The measurement data printing unit 37 is a unit that prints the five types of graphs and the determination result (score) from the acquired measurement data together with the patient information by the color printer 40. FIG. 8 shows an example of printing. By collecting and printing on one A4 sheet, it can be stored with the medical record. The determination transition display means 38 is a function that displays a time-series transition graph of determination results (scores) from the measurement data stored so far. The transition graph is a transition of two scores, A (brain clarity) and B (thinking activity). FIG. 9 shows an example of the display screen. Switching between the two graphs is done by clicking a button on the screen. The numerical value is displayed with the graph display. In addition, on the graph, the last line set in the setting information 29 is also displayed as a reference for determining whether or not the treatment is acceptable. The dentist adjusts the dentures until reaching this and the second line, and when reaching this line, the treatment is judged to be finished for the time being. Furthermore, by selecting the measurement date and clicking the display button, the five types of graphs of the measurement data and the scores of the respective evaluation items can be displayed. It is also possible to change the display range by specifying the display range (measurement date and time and number of display measurements) from the screen. The master registration unit 39 is a function for registering or changing the patient information 26 and the setting information 29 used by the diagnostic information processing program 30.

The storage unit 22 is a storage device exemplified by a hard disk. The storage unit 22 stores patient information 26, determination index information 27, setting information 29, and measurement information 28 created by the diagnostic information processing program 30 that are referred to by the diagnostic information processing program 30.

The patient information 26 stored in the personal computer 20 of the present invention includes a patient code, a patient name, a birthday, and a gender.

The determination index information 27 stored in the personal computer 20 of the present invention includes the ratio (weight) of the importance of the following items used for determination of the clarity of the brain and the degree of thinking activity.
(Brain Clarity): α%, β% Histogram in the following 5 items
Maximum value of 1α% (ratio of α wave signal included in the whole brain wave including α wave and β wave)
Maximum value of 2β% (ratio of β wave signal contained in whole brain wave including α wave and β wave)
3α%, β% maximum value interval
4α% area
5β% area (thinking activity): The following three items in the β / α histogram
Average value of 1β wave / α wave
Maximum value of 2β wave / α wave
Area of 3β wave / α wave These determination indexes are indexes uniquely derived by a dentist based on patient data actually sampled for the present invention, and are encrypted and stored.

The measurement information 28 stored in the personal computer 20 of the present invention includes the measurement date and time for each measurement time, the measured electroencephalogram data, the input notch information, and the determined evaluation score. The measurement information 28 is stored in time series as measurement data associated with patient information.

The setting information 29 stored in the personal computer 20 of the present invention includes dental clinic information using this system, the points of the two evaluation scores, the background color when displaying the score, the color, line width and line type of each graph, notch Contains item information.

The input unit 23 is exemplified by an input device using a keyboard, a mouse, or a panel touch. The display unit 24 is exemplified by a display device. The input unit 23 and the display unit 24 are also used when the operator of the diagnostic personal computer 20 operates the diagnostic personal computer 20. The communication unit 25 is a communication device that transmits / receives electroencephalogram data to / from the portable electroencephalograph 10 via a cable.

The color printer 40 is a printing apparatus exemplified by an ink jet printer.

A functional block diagram of the diagnostic information processing program 30 is shown in FIG. The electroencephalogram data transmitted from the electroencephalograph 50 is received by the electroencephalogram data receiving means 51 and transferred to the measurement data fetching means 52. The measurement data capturing means 52 associates the electroencephalogram data with the patient information registered by the master registration means 59 and stores it in the database. The stored measurement data is compared with determination index information 60 stored in advance by the measurement data determination means 54 to calculate a score. The determination information quantitatively determined in the form of a score is recorded in the database by the measurement data storage means 55 together with the event (notch) that has been influenced by the measurement input by the notch input means 53. From the stored measurement data and determination information, the measurement data display means 56 displays five types of graphs and scores on the display device. Further, from the stored measurement data and determination information, the display and score of five types of graphs are printed on the printing device by the measurement data printing unit 57. Further, a time-series transition graph of scores is displayed on the display device by the determination transition display means 58 from the measurement data and determination information stored so far.

Next, a flow of one form of the denture diagnosis system will be described with reference to FIG.
As shown in FIG. 3, the functional phase of the denture diagnosis system is divided into four. Measurement data acquisition from an electroencephalograph (Phase A), determination evaluation of measurement data (Phase B), event input during measurement (Phase C), display / printing of measurement data and score (Phase D). Usually, phase A, phase B, phase C, and phase D are performed in this order. However, since phase D is a screen display and print phase from stored measurement data, the patient who wants to see or print is displayed at any time. You can select and implement. Phase C is performed only when there is an event (notch) that affects the measurement. Furthermore, when the content (ideal value or weight) of the determination index information 27 used in phase B is corrected, it is possible to recalculate the evaluation score by re-implementing phase B.

  First, the operator activates the diagnostic information processing program 30 on the diagnostic personal computer 20. When the diagnostic information processing program 30 is activated, an initial menu is displayed. In the initial menu, a column for selecting a patient, and function buttons of an electroencephalogram data receiving unit 31, a measurement data determination unit 34, a measurement data display unit 36, a determination transition unit 38, and a master registration unit 39 are displayed as a list. . About the measurement data determination means 34, the measurement data display means 36, and the determination transition means 38, it can also change freely between each screen also from other than an initial menu. The measurement data printing unit 37 is activated by a print button from the screen of the measurement data display unit 36.

  Next, the operator selects the patient to be processed on the initial menu. For a patient already registered in the patient information 26, the patient code is input. For a patient whose patient code is unknown, click the search button and then search and select by patient name. For the first patient, the master registration means 39 is first activated from the initial menu and selected after the patient master registration.

  When the selection of the patient is completed, a button for receiving electroencephalogram data is clicked from the initial menu to start the reception program (A1). When the reception program is started, a reception menu is displayed. By clicking the reception button in the reception menu, communication with the electroencephalograph is performed, all the electroencephalogram data transmitted from the electroencephalograph is received, and temporarily registered temporarily in the storage unit 22 (A2). An electroencephalograph may store a plurality of measured electroencephalogram data. When the reception of all the electroencephalogram data is completed, the reception program is terminated by clicking the end button in the reception menu.

  When the reception ends normally, the measurement data fetching means is automatically activated and the fetch screen is displayed. If reception fails, the capture screen is not displayed and the initial menu is displayed again, so the operator starts again from the start of the reception program (A1). A list of the electroencephalogram data received this time is displayed on the capture screen, and the operator selects the electroencephalogram data desired to be diagnosed this time and clicks the capture start button to register it as measurement information 28 in the storage unit 22 (A3). . If you want to capture multiple EEG data, you can select multiple or select more.

  When the capture is completed, the electroencephalogram data captured this time is automatically evaluated and determined, and the result is displayed on the screen (B1). This determination means is as described above with reference to FIGS. FIG. 6 shows an example of the determination result screen. There are two types of screens, α% and β% histograms representing the clarity of the brain, and β / α histograms representing the degree of thinking activity, each of which has its numerical value and graph, the evaluation score calculated by the above formula, The score details of each evaluation item are displayed. The score of each evaluation item is displayed in an illustration for easy understanding. By changing the background color of the evaluation score according to the color setting for each score range of the setting information 29, it is possible to display the pass / fail of treatment easily. For example, red is less than 50 points, yellow is less than 50 to 70 points, and green is more than 70 points. Switching between the two evaluation screens is done by clicking a button on the screen. When the previous measurement information of this patient is registered, the screen display can be switched to the previous determination result screen by clicking the previous data button. In addition, measurement information taken in by mistake can be deleted from the database by using the delete button on this screen. Furthermore, when the content (ideal value or weight) of the determination index information 27 used in the determination is corrected, it is possible to recalculate the evaluation score of the previous measurement data with the latest determination index by using the reload button. is there.

  For the event (notch) that has affected the brain wave measurement, the event occurrence time coordinate is marked by the mouse on the time series numerical graph of the S wave, α wave, and β wave, and the event content is input (C1). This phase is implemented only when there is an event that affects the measurement. Specifically, when an arbitrary portion of the graph is clicked with the mouse, the brain wave data closest to the clicked time is selected, and a ruled line is displayed at that position, and at the same time, a notch setting screen is opened. The notch is set by selecting the setting contents from the selection box on the notch setting screen and clicking the setting button. Settable event items are registered in the setting information 29 as notch masters. For example, “contacted”, “moved”, “made a loud sound”. The presence / absence of the input event is displayed as a ruled line on the graph, and the contents of the input event can be confirmed by moving the mouse pointer to the ruled line. To delete the set notch, open the notch setting screen and click the delete button. You can also delete all notches at once by clicking the Cancel All button without deleting them individually. This event does not directly affect the evaluation score, but serves as a diagnostic reference for dentists as the cause of abnormal brain wave disturbances.

  Measurement data can be displayed on the screen as an operator's instructions, printed for chart attachment, or graphed as a time series of evaluation scores as a treatment transition so far (Phase D) . Since this phase is a screen display and printing phase from the stored measurement data, it is possible to select and execute a patient who wants to see or print at any time.

When the measurement data display button in the initial menu is clicked, the measurement data is processed as a graph and displayed as five types of graphs (D1). The five types of graphs are: S wave, α wave, β wave time series numerical graph, α wave, β wave time series occurrence rate graph, α wave, β wave generation distribution graph (α%, β% histogram) , A time-series numerical graph of thinking activity values, and an occurrence distribution graph (β / α histogram) of thinking activity values. FIG. 7 shows an example of the display screen. Each graph is switched by clicking a button on the screen. The numerical value is displayed with the graph display. In addition, in the time series numerical graph of S wave, α wave, β wave, time series occurrence rate graph of α wave, β wave, and time series numerical graph of thinking activity value, it is possible to enlarge the display by specifying the range. To do. Specifically, after clicking the range designation button, dragging and dropping on the graph designates the enlarged display range, and clicking the range designation button again enlarges the designated range. Click the reload button to return to the full view again. Furthermore, when another measurement information of this patient is registered, the screen display can be switched to the previous or next measurement data display by clicking the previous data or next data button.

  When the determination transition button in the initial menu is clicked, a time-series transition graph of determination results (evaluation scores) is displayed from the measurement information stored so far (D2). The transition graph is a transition of two evaluation scores, an α% and β% histogram representing the clarity of the brain and a β / α histogram representing the degree of thinking activity. FIG. 9 shows an example of the display screen. Switching between the two graphs is done by clicking a button on the screen. The numerical value is displayed with the graph display. In addition, on the graph, the line of the last point set by the setting information (29) is also displayed as a reference for determining whether or not the treatment is acceptable. The dentist adjusts the dentures until reaching this and the second line, and when reaching this line, the treatment is judged to be finished for the time being. Furthermore, by selecting the measurement date and clicking the display button, the five types of graphs of the measurement data and the scores of the respective evaluation items can be displayed. It is also possible to change the display range by specifying the display range (measurement date and time and number of display measurements) from the screen.

When the print button is clicked on the measurement data display screen, the five types of graphs of the displayed measurement data and the determination results (two evaluation scores) are printed from the color printer 40 together with the patient information (D3). FIG. 8 shows an example of printing. Since it is printed on a single A4 sheet, it can be stored together with the medical record.

DESCRIPTION OF SYMBOLS 10 Portable electroencephalograph 20 Diagnosis personal computer 21 Calculation part 22 Storage part 23 Input part 24 Display part 25 Communication part 26 Patient information 27 Determination index information 28 Measurement information 29 Setting information 30 Diagnostic information processing program 31 Reception program starting means 32 Measurement data acquisition Insertion means 33 Notch input means 34 Measurement data determination means 35 Measurement data storage means 36 Measurement data display means 37 Measurement data printing means 38 Determination transition display means 39 Master registration means 40 Color printer

Claims (5)

  A diagnostic processing device for diagnosing the indentation's engagement based on the brain wave information of the patient wearing the denture, and comparing the measured value calculated based on the brain wave information with an objective determination index An indentation diagnosis system comprising a diagnosis personal computer that performs an occlusion evaluation judgment means.   The determination means includes the clarity of the brain determined from the graph shape of the occurrence distribution of α waves and β waves in which the activity of brain activity in the prefrontal cortex appears, and the thinking activity values related to prefrontal behavior and conscious activity The denture diagnosis system according to claim 1, wherein the determination is based on two scores of the degree of thinking activity determined from the graph shape of the occurrence distribution.   The determination means includes the maximum value of α% (the ratio of α waves included in the whole brain wave including α waves and β waves) and β% (the whole brain waves including α waves and β waves) as the clarity of the brain. β wave ratio) maximum value, α% and β% maximum interval, α% area, β% area 5 items, thinking activity level, (β wave / α wave) average value, ( For the three items of (β wave / α wave) maximum value and (β wave / α wave) area, the calculated value of each item calculated based on the electroencephalogram sent from the electroencephalograph and preset in the diagnostic PC The score of each item, which is derived by multiplying the deviation rate from the judgment index of each item by the proportion (weight) of the importance of the item, which is also preset in the diagnostic PC, is totaled in the diagnostic PC The input of claim 1 is characterized in that the determination is made by comparing the clarity of the brain set in advance with each score of the thinking activity level. Diagnostic system.   The diagnostic processing apparatus includes: a receiving unit that receives electroencephalogram data from an electroencephalograph; a capturing unit that captures the received electroencephalogram data into a diagnostic personal computer; a display device that displays the captured electroencephalogram data in a graph; and an electroencephalogram measurement time Input means for inputting the event (notch), determination means for calculating the score by comparing the measured value of each item calculated based on the electroencephalogram data with a determination index, and storing the electroencephalogram data and the calculated score in the database Characterized by comprising: means for printing, printing means for printing the electroencephalogram data and the calculated score, display means for displaying the time-series transition of the score, and a storage device for storing the measurement data consisting of the electroencephalogram data and the calculated score. The denture diagnosis system according to claim 1. Receiving means for receiving electroencephalogram data from an electroencephalograph, and judging means based on a denture meshing score calculated by comparing a value calculated based on the received electroencephalogram data with a preset judgment index Program to function as.