Dental treatment device for detecting bleeding

Abstract

The present invention relates to a dental treatment device for detecting bleeding, which solves the technical problem that the dental treatment device cannot detect and display oral bleeding. The dental treatment device capable of detecting bleeding comprises a blood sensor for detecting oral bleeding, the blood sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the technical solution of the display unit displaying oral bleeding solves the problem well and can be used in dental treatment.

Description

Technical Field

[0001] The invention relates to the field of dental treatment instruments, and in particular to a dental treatment instrument for detecting bleeding. Background Art

[0002] Dental medical instruments refer to various small portable tools used in dentistry, which are called dental instruments internationally. Dental medical instruments include dental handpieces, oral handpiece sterilizers, tooth extraction forceps, dental elevators, dental picks and other surgical instruments, manual dental instruments, dental rotary instruments, dental injection instruments, and root canal instruments. The scope of dental medical instruments is wide and there are many manufacturers. The corresponding international group ISO / TC106 SC4 is specifically responsible for standardization work in this area.

[0003] At present, all dental treatment instruments cannot detect oral bleeding, people cannot self-check oral bleeding, and doctors cannot communicate intuitively during doctor-patient communication, while oral bleeding is one of the causes of dental diseases. Therefore, the present invention provides a dental treatment instrument that can detect and intuitively display oral bleeding in the human body. Summary of the invention

[0004] The technical problem to be solved by the present invention is the lack of oral bleeding detection in the prior art. A new dental treatment device for detecting bleeding is provided, which has the characteristic of being able to detect oral bleeding.

[0005] In order to solve the above technical problems, the technical solutions adopted are as follows:

[0006] A dental treatment device capable of detecting bleeding comprises a blood sensor for detecting oral bleeding, the blood sensor is connected to an MCU unit, the MCU unit is connected to a display unit; the display unit displays oral bleeding information.

[0007] In the above scheme, for optimization, further, the blood sensor includes a power control module, a locator, a microcontroller chip, a signal transmission module, and a bleeding detection sensor; the power control module includes a normally open magnetic control switch, which is placed in a permanent magnetic field device with a specific magnetic field direction when not in use, and the magnetic control switch is in an off state and the circuit is disconnected; when in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the blood sensor circuit is connected to start working.

[0008] Furthermore, a signal amplification unit is connected between the blood sensor and the MCU unit.

[0009] Furthermore, the signal amplification unit includes an integrated circuit LM324, the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

[0010] Furthermore, the signal amplification circuit includes an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with resistors R44 and R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

[0011] Furthermore, the blood sensor includes Thin-Ex-TFG structured optical fiber and bleeding-sensitive hydrogel, wherein Thin-Ex-TFG is composed of acrylic acid, hydroxyethyl methacrylate, ethylene glycol dimethacrylate and benzoin dimethyl ether.

[0012] Furthermore, a bleeding volume estimation unit for preprocessing blood sensor data is provided in the MCU unit, and the bleeding volume estimation unit performs the following steps:

[0013] Step 1: The blood sensor generates a time series Z t , establish a bleeding output time series prediction model:

[0014]

[0015]

[0016]

[0017] Z t is a time series, t is the time value of the time series, Z i is the i-th time series; i is a positive integer less than N, N is a constant, μ t is white noise with a mean of 0; is the autoregressive parameter,

[0018] Step 2: Calculate the order p and corresponding parameters of the time series t Statistics of time series t Historical Value W k , W k-1...W1, calculate the output value of the blood sensor at time k+1 about l:

[0019]

[0020] W k (l-1) = W k-1 ;

[0021] Where p is the autoregressive order, B is the delay operator, l is a constant greater than or equal to 1;

[0022] Step 3: Collect the actual output value Z of the blood sensor t And calculate the W t Compare the residual value e(t), and compare the residual value e(t) with the preset threshold V to calculate the fault predicted output value f t ;

[0023] Step 4, define the dynamic error of the system as ±E1, the estimated residual as ±E2, and define the fault judgment threshold V=2(|E1|+|E2|).

[0024] Furthermore, in step 4, the dynamic error of the system is defined as ±E1, and the estimated residual is ±E2, which is the responsibility of the fault decision unit; the fault decision unit includes a user interface, a static database, a dynamic database, a knowledge base, an inference engine, a knowledge acquisition unit, a time series model recognition unit, a time series predictor, and a fault estimator; the user interface is connected to the inference engine, the static database, and the knowledge acquisition unit in parallel, the inference engine is connected to the static database, the dynamic database, and the knowledge base, and the knowledge acquisition unit is connected to the knowledge base; the static database is connected to the fault estimator and the time series model recognition unit, and a time series predictor is connected between the fault estimator and the time series model recognition unit.

[0025] Beneficial effects of the present invention: The present invention uses a blood sensor and is connected to existing dental care and treatment products to detect oral bleeding during treatment or care, and remind the user to take necessary treatment. At the same time, a bleeding volume estimation unit and a fault decision unit are used to effectively improve the detection and treatment level of bleeding. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0027] Figure 1 , schematic diagram of the dental treatment instrument for detecting bleeding in Example 1.

[0028] Figure 2 , schematic diagram of the first signal amplification circuit in Example 1.

[0029] Figure 3, schematic diagram of the second signal amplification circuit in Example 1.

[0030] Figure 4 , schematic diagram of the blood sensor in Example 1. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] Example 1

[0033] This embodiment provides a dental treatment device for detecting bleeding, such as Figure 1 The dental treatment device capable of detecting bleeding includes a blood sensor for detecting oral bleeding, the blood sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the display unit displays oral bleeding.

[0034] Preferably, if Figure 4 The blood sensor includes a power control module, a locator, a microcontroller chip, a signal transmission module, and a bleeding detection sensor; the power control module includes a normally open magnetic control switch, which is placed in a permanent magnetic field device with a specific magnetic field direction when not in use, the magnetic control switch is in an off state, and the circuit is disconnected; when in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the blood sensor circuit is connected to start working

[0035] Preferably, in order to better transmit the amplitude between the output of the blood sensor and the signal received by the MCU unit, a signal amplification unit is connected between the blood sensor and the MCU unit.

[0036] Specifically, Figure 2 The first signal amplification unit includes an integrated circuit LM324, wherein the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and connected to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

[0037] like Figure 3The second signal amplifying circuit includes an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with a resistor R44 and a resistor R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

[0038] Preferably, a bleeding volume estimation unit for preprocessing blood sensor data is provided in the MCU unit, and the bleeding volume estimation unit performs the following steps:

[0039] Step 1: The blood sensor generates a time series Z t , establish a bleeding output time series prediction model:

[0040]

[0041]

[0042]

[0043] Z t is a time series, t is the time value of the time series, Z i is the i-th time series; i is a positive integer less than N, N is a constant, μ t is white noise with a mean of 0; is the autoregressive parameter,

[0044] Step 2: Calculate the order p and corresponding parameters of the time series t Statistics of time series t Historical Value W k , W k-1 ...W1, calculate the output value of the blood sensor at time k+1 about l:

[0045]

[0046] W k (l-1) = W k-1 ;

[0047] Where p is the autoregressive order, B is the delay operator, l is a constant greater than or equal to 1;

[0048] Step 3: Collect the actual output value Z of the blood sensor t And calculate the W t Compare the residual value e(t), and compare the residual value e(t) with the preset threshold V to calculate the fault predicted output value f t ;

[0049] Step 4, define the dynamic error of the system as ±E1, the estimated residual as ±E2, and define the fault judgment threshold V=2(|E1|+|E2|).

[0050] Specifically, in step 4, the dynamic error of the system is defined as ±E1, and the estimated residual is ±E2, which is the responsibility of the fault decision unit; the fault decision unit includes a user interface, a static database, a dynamic database, a knowledge base, an inference engine, a knowledge acquisition unit, a time series model recognition unit, a time series predictor, and a fault estimator; the user interface is connected to the inference engine, the static database, and the knowledge acquisition unit in parallel, the inference engine is connected to the static database, the dynamic database, and the knowledge base, and the knowledge acquisition unit is connected to the knowledge base; the static database is connected to the fault estimator and the time series model recognition unit, and the time series predictor is connected between the fault estimator and the time series model recognition unit.

[0051] This embodiment uses a blood sensor and is connected to existing dental care and treatment products to detect oral bleeding during treatment or care, and remind the user to take necessary treatment. At the same time, a bleeding volume estimation unit and a fault decision unit are used to effectively improve the detection and treatment level of bleeding.

[0052] Since the fault decision unit has human-computer dialogue and explanation functions, some difficult faults can be satisfactorily resolved with simple intervention of the operator, which also increases the credibility of the fault diagnosis system.

[0053] Although the above describes the illustrative specific embodiments of the present invention so that those skilled in the art can understand the present invention, the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, all inventions and creations using the concepts of the present invention are protected.

Claims

1. A dental treatment device for detecting bleeding, characterized in that: The dental treatment device capable of detecting bleeding comprises a blood sensor for detecting oral bleeding, the blood sensor is connected to an MCU unit, and the MCU unit is connected to a display unit; the display unit displays oral bleeding; The blood sensor includes a power control module, a locator, a microcontroller chip, a signal transmission module, and a bleeding detection sensor; The power control module includes a normally open magnetic control switch, which is placed in a permanent magnetic field device with a specific magnetic field direction when not in use, the magnetic control switch is in an open state, and the circuit is disconnected; when in use, it is taken out of the permanent magnetic field device, the magnetic control switch is closed, and the blood sensor circuit is connected and starts to work; The MCU unit is provided with a bleeding volume estimation unit for preprocessing blood sensor data, and the bleeding volume estimation unit performs the following steps: Step 1: The blood sensor generates a time series Z t , establish a bleeding output time series prediction model: Z t is a time series, t is the time value of the time series, Z i is the i-th time series; i is a positive integer less than N, N is a constant, μ t is white noise with a mean of 0; is the autoregressive parameter, Step 2: Calculate the order p and corresponding parameters of the time series t Statistics of time series t Historical Value W k , W k-1 …W1, calculate the output value of the blood sensor at time k+1 about l: W k (l-1)=W k-1 ; Where p is the autoregressive order, B is the delay operator, l is a constant greater than or equal to 1; Step 3: Collect the actual output value Z of the blood sensor t And calculate the W t Compare the residual value e(t), and compare the residual value e(t) with the preset threshold V to calculate the fault predicted output value f t ; Step 4, define the dynamic error of the system as ±E1, the estimated residual as ±E2, and define the fault judgment threshold V=2(|E1|+|E2|).

2. The dental treatment device for detecting bleeding according to claim 1, characterized in that: A signal amplification unit is connected between the blood sensor and the MCU unit.

3. The dental treatment device for detecting bleeding according to claim 2, characterized in that: The signal amplification unit includes an integrated circuit LM324, wherein the first pin of the integrated circuit LM324 is connected to a resistor R53 and a resistor R51, the other pin of the resistor R53 is connected to the W_AN signal pin, the other pin of the resistor R51 is connected to the second pin of the integrated circuit LM324 and the resistor R52, and the other pin of the resistor R52 is grounded; the third pin of the integrated circuit LM324 is connected to the capacitor C51 to the ground and to the resistor R50, and the other pin of the resistor R50 is connected to the HV signal pin; the fourth pin of the integrated circuit LM324 is connected to the +12V power pin, and the +12V power pin is connected to the GND pin through the capacitor C50.

4. The dental treatment device for detecting bleeding according to claim 2, characterized in that: The signal amplifying circuit comprises an integrated circuit LM321, wherein the first pin of the integrated circuit LM321 is connected in series with a resistor R43 to the VS_FB signal terminal; the second pin of the integrated circuit LM321 is grounded; the third pin of the integrated circuit LM321 is connected in parallel with resistors R44 and R45, the resistor R44 is grounded, and the resistor R45 is connected to the fourth pin of the integrated circuit LM321.

5. The dental treatment device for detecting bleeding according to claim 4, characterized in that: In step 4, the dynamic error of the system is defined as ±E1, and the estimated residual is ±E2, which is the responsibility of the fault decision unit; the fault decision unit includes a user interface, a static database, a dynamic database, a knowledge base, an inference engine, a knowledge acquisition unit, a time series model recognition unit, a time series predictor, and a fault estimator; the user interface is connected to the inference engine, the static database, and the knowledge acquisition unit in parallel, the inference engine is connected to the static database, the dynamic database, and the knowledge base, and the knowledge acquisition unit is connected to the knowledge base; the static database is connected to the fault estimator and the time series model recognition unit, and the time series predictor is connected between the fault estimator and the time series model recognition unit.

Images