CN114848381A - Automatic height adjusting system and method for electric treatment chair of oral treatment table - Google Patents
Automatic height adjusting system and method for electric treatment chair of oral treatment table Download PDFInfo
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Abstract
The invention relates to a system and a method for automatically adjusting the height of an electric treatment chair for an oral treatment table, which comprises the following steps: the device comprises a data acquisition module, a first data fitting module, a second data fitting module, a data processing module, a data output module and an execution control unit; the data acquisition module respectively sends the acquired acquisition parameter information to the first data fitting module and the second data fitting module; sending the collected parameter information of the current personnel to be inspected to a data processing module; the first data fitting module and the second data fitting module respectively acquire the lifting height models of the electric treatment chair in each mode and send the lifting height models to the data processing module; the data output module sends the height of the electric treatment chair to the execution control unit; the execution control unit is used for controlling the corresponding electric treatment chair to execute corresponding actions; the regression analysis of the invention can accurately measure the correlation degree between all factors and the degree of regression fitting, and improve the effect of the prediction equation.
Description
Technical Field
The invention belongs to the field of oral cavity equipment science, and particularly relates to a system and a method for automatically adjusting the height of an electric treatment chair for an oral treatment table.
Background
With global emphasis on oral health, a large number of talents have recently emerged into the oral medical market. While the professional technology of oral medicine is rapidly improved, the requirement of oral equipment in the industry is gradually increased.
In the existing environment, the adjustment of the comprehensive oral treatment table is completely determined by the self feeling and experience of doctors, and because oral diagnosis and treatment has the characteristics of long time, high fineness, unnatural posture of doctors and the like, the oral doctors are in an embarrassed posture for a long time in clinical work, and related skeletal muscle diseases of oral occupations (WMSDs) are directly caused.
At present, the angle and the height of the oral cavity comprehensive treatment table generally applicable to the market are all adjusted by an oral doctor according to diagnosis and treatment needs at will, the height and the angle are respectively adjusted, and manual mechanical control is carried out by four keys, namely an upper key, a lower key, a left key and a right key, on a control panel. The height and the angle of the electric treatment chair are irrelevant, and the electric treatment chair is not limited by any conditions such as sight distance, sitting height and the like of a doctor.
According to the existing international standard, the requirements of the operating posture of the oral doctor on the visual distance (the distance from the eyes of the oral doctor to the oral cavity of the patient) are already clear, but the doctor easily ignores the body position in the actual operation, naturally approaches the operating area, and directly brings burden to the neck of the doctor.
We find in the experiment that because the existing oral cavity comprehensive treatment table mainly faces standard crowds, the height adjustment range is limited, and for some female doctors with lower height, even if the treatment chair is adjusted to the lowest when encountering patients with wider and thicker stature, the doctors can not reach the operation area, the doctors are required to improve the chairs of the doctors, the lower limbs are suspended, and the appearance of the embarrassing posture is caused. Meanwhile, doctors propose that the adjustment range of the existing doctor seat cannot meet clinical requirements and is hopeful to be higher. Therefore, the intelligent chair design focuses on the professional health work development, and strives to fill the gap of providing equipment support for preventing relevant skeletal muscle diseases of oral doctors at home and abroad, fill the gap of the current oral medical education system for standardizing the operation behaviors of oral medical students, perfect the oral medical preclinical teaching system and the relevant training of professional protection, prevent the occurrence of the relevant skeletal muscle diseases of the oral doctors in work from the source, and need to enlarge the adjustment range of the self-adaptive doctors of the existing oral comprehensive treatment table to comprehensively cover each oral doctor.
Disclosure of Invention
The invention aims to provide an electric treatment chair which can directly provide the optimal height matched with the seat height, the sight distance and the angle according to a model obtained by experiments without adjusting the height of a doctor so as to determine the optimal height. The chair position at the moment is distinguished according to two diagnosis and treatment conditions of the upper jaw and the lower jaw, so that the defect that the height of the electric treatment chair is manually adjusted in the prior art is overcome.
The technical scheme adopted by the invention for realizing the purpose is as follows: an automatic height adjustment system for a motorized treatment chair for an oral treatment table, comprising: the device comprises a data acquisition module, a first data fitting module, a second data fitting module, a data processing module, a data output module and an execution control unit;
the data acquisition module is used for respectively sending the acquired acquisition parameter information to the first data fitting module and the second data fitting module; sending the collected parameter information of the current personnel to be inspected to a data processing module;
the first data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing to obtain a lifting height model of the electric treatment chair for treating the maxillary dentition pattern, and sending the lifting height model to the data processing module for storage;
the second data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing, acquiring a lifting height model of the lower jaw dentition mode electric treatment chair for diagnosis and treatment, and sending the lifting height model to the data processing module for storage;
the data processing module is used for receiving and storing a diagnosis and treatment upper jaw dentition mode electric treatment chair lifting height model and a diagnosis and treatment lower jaw dentition mode electric treatment chair lifting height model, and selecting a corresponding model according to an instruction; meanwhile, parameter information acquired by the data acquisition module is received, and the rising height of the electric treatment chair is acquired through the selected model;
the data output module is connected with the execution control unit and is used for sending the height of the electric treatment chair to the execution control unit;
and the execution control unit is used for controlling the lifting motor or the pitching motor of the corresponding electric treatment chair to execute corresponding actions according to the data output by the data output module.
The parameter information includes: the included angle of the chair back of the treatment chair, the sight distance information of doctors during diagnosis and treatment and the height information of the chairs of the doctors;
the included angle of the chair back of the treatment chair is as follows: the angle formed between the chair back of the treatment chair and the perpendicular bisector.
The data acquisition module comprises: the chair back sensor, the sight distance correction system and the doctor chair seat height sensor are respectively connected with the first data fitting module and the second data fitting module;
the height sensor of the doctor seat is a laser ranging sensor and is arranged at the bottom of the doctor seat, and the measuring end of the height sensor of the doctor seat is arranged right opposite to the ground and is used for collecting the height information of the doctor seat from the ground;
the visual range correcting system is arranged on the oral cavity surface cover worn by a doctor and is used for detecting visual range information of the doctor in real time during diagnosis and treatment;
the chair back sensor is an angle sensor and is arranged on a rotating main shaft of the treatment chair to detect the chair back rotating angle information of the treatment chair and acquire the included angle of the chair back of the treatment chair according to the perpendicular bisector at the chair back.
The system for correcting visual range comprises: the processing unit, and a far infrared distance meter, a communication module and a loudspeaker unit which are connected with the processing unit;
the far infrared distance meter is arranged at the center of the head ring of the oral mask, and the emission direction of the far infrared distance meter irradiates in the oral cavity range of a person to be detected so as to detect sight distance information of a doctor during diagnosis and treatment in real time;
the communication module, the processing unit and the loudspeaker unit are arranged in an installation box outside the head ring;
the far infrared distance meter is connected with the processing unit and is used for transmitting the detected sight distance to the processing unit in real time;
the processing unit is used for converting the electric signals transmitted by the far infrared distance meter into digital signals and sending the digital signals to the first data fitting module or the second data fitting module through the communication module for fitting; the first data fitting module or the second data fitting module processes the data to obtain sight distance range information corresponding to different models;
meanwhile, a warning signal which is sent by the first data fitting module or the second data fitting module and is not in the sight distance range information is received, the processing unit receives the warning signal to analyze, and controls the loudspeaker unit to give an alarm.
The adjusting method of the automatic height adjusting system of the electric treatment chair for the oral treatment table comprises the following steps:
1) for each sample data in the N sample data;
the data acquisition module acquires N sample data in two modes and acquires parameter information, and the method comprises the following steps: doctor seat height information X 1 And sight distance information X for doctor during diagnosis and treatment 2 Sine value X of included angle alpha of chair back 3 And a current electric treatment chair height Y;
wherein, two modes include: diagnosing and treating a lifting height model of the upper jaw dentition mode electric treatment chair and a lifting height model of the lower jaw dentition mode electric treatment chair;
2) the data acquisition module respectively sends parameter information acquired by the maxillary dentition mode electric treatment chair lifting height model and the maxillary dentition mode electric treatment chair lifting height model to a first fitting module and a second fitting module, and the first fitting module and the second fitting module perform multivariate linear regression processing and establish an initial model of the lifting height of the electric treatment chair;
3) the first fitting module and the second fitting module estimate model parameters in the obtained initial models respectively, solve the model parameters and combine parameter information of sample data to obtain a diagnosis and treatment maxillary dentition mode electric treatment chair lifting height model and a diagnosis and treatment mandibular dentition mode electric treatment chair lifting height model respectively, and determine a sight distance range threshold value simultaneously;
4) when a doctor diagnoses, the height information X of the doctor seat at the moment of the data acquisition module 1 And the sight distance information X of the doctor during diagnosis and treatment 2 The included angle alpha of the chair back and the height Y of the current electric treatment chair are input into the data processing module, and the rising height of the electric treatment chair is output according to the selected model of the person to be inspected
To the data module output module;
5) the execution control unit is used for executing the lifting height of the electric treatment chair output by the data output module
The lifting motor of the corresponding electric treatment chair is controlled to rotate forwards or backwards to execute the lifting or lowering action of the electric treatment chair, and meanwhile, the sight distance information X of a doctor during diagnosis and treatment is judged in real time 2 If the distance is within the sight distance range threshold value, and corresponding execution actions are taken.
The step 2), for each mode, establishing an initial model comprises the following steps:
2-1) height information X of the traditional Chinese medical student seat according to parameter information of sample data 1 And sight distance information X for doctor during diagnosis and treatment 2 Establishing a multivariate linear regression equation by using the included angle alpha of the chair back, namely:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 As an estimate of a model parameter, X 3 The sine value of the included angle alpha of the chair back is obtained;
2-2) versus model parameter beta 0 ，β 1 ，β 2 ，β 3 And the rising height Y of the current electric treatment chair is estimated, and the estimated values of the obtained model parameters are b 0 ，b 1 ，b 2 ，b 3 Establishing an estimated multiple linear regression equation:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 Is an estimate of a parameter of the model,
is an estimate of the current motorized treatment chair height Y, expressed in any set of independent variables X 1 ,X 2 ,X 3 The point estimate of the mean of time Y, i.e. the motorized treatment chair elevation.
The pair of model parameters beta 0 ，β 1 ，β 2 ，β 3 And estimating the height Y of the current electric treatment chair, specifically:
(1) determining the fitting condition of the estimated multiple linear regression equation, and enabling the sum of squares of residuals to be minimum according to the observed N cases of data through a least square method, namely enabling Q to be minimum, namely:
wherein, Y k For the height of the acquired electric treatment chair, X mk Being sample dataParameter information doctor's seat height information X 1 And sight distance information X for doctor during diagnosis and treatment 2 Sine value X of included angle alpha of chair back 3 As an independent variable; q is the sum of the squares of the residual errors, n is the total number of parameters in the sample data, and m represents the number of independent variable types in the parameter information;
(2) solving to obtain the estimated values of the model parameters according to equation (3-2), i.e. obtaining b 1 ，b 2 ，b 3 The values of (a) are specifically:
since the parameter information includes three arguments, where m is 3, the equation system defined by equation (3-2) is obtained:
wherein,
in the formula (3-3), when i ═ j, l ij Is the sum of the squared deviations of the independent variables; when i ≠ j, l ij Is the sum of the mean deviations of the two independent variables,/ jY Is an independent variable X j The sum of the mean deviation and the difference of the height Y of the electric treatment chair with the dependent variable;
(3) solved to obtain b 1 ，b 2 ，b 3 Solving the constant term b of the regression equation 0 Namely:
wherein,
is the average value of the lifting height of the electric treatment chair in the sample data,
for doctor's seat height information X 1 The mean value of,
Viewing distance information X for doctor diagnosis and treatment 2 The mean value of,
For sine value X of included angle alpha of chair back 3 The mean value of (a);
knowing the mean of the variables
Obtaining constant term b according to equation (3-4) 0 ；
(4) And determining a lifting height model of the diagnosis and treatment maxillary dentition mode electric treatment chair or a lifting height model of the diagnosis and treatment mandibular dentition mode electric treatment chair according to the estimated multiple linear regression equation.
In step 2), for each mode, the determining of the visibility range threshold specifically includes:
A. giving probability 1-alpha as credibility in advance, and viewing distance information X during doctor diagnosis and treatment 2 Obeying a t distribution with overall mean μ and sample standard deviation S, then:
wherein N is the number of samples,
viewing distance information X for doctor diagnosis and treatment 2 Average of (d);
B. according to the t distribution rule, the t value of 100% × (1-alpha) is-t α/2 And t α/2 Namely:
the above equation is transformed into a trusted section, namely:
wherein, t α/2 The boundary value is obtained by looking up a statistical t value table according to the central limit theorem
All obey normal distribution, and the confidence interval is approximated as:
the lower and upper line-of-sight limits of the first or second data fitting module are respectively:
C. according to the sample data N acquired by the data acquisition module, the sight distance information X of the doctor during diagnosis and treatment 2 Average of
The parameter upsilon-1, 1-alpha 0.95 is brought into
And obtaining the sight distance allowable range threshold of the first data fitting module or the second data fitting module.
The step 5) is specifically as follows:
when a doctor examines a person to be examined, the far infrared distance meter on the oral cavity mask detects the visual range in real time and transmits the visual range to the processing unit of the visual range correcting system, and the processing unit sequentially sends the visual range to the data processing module through the communication module and the data acquisition module according to a model selected by the person to be examined;
the data processing module judges whether the sight distance information is within an allowable range threshold value according to the sight distance information received currently; if the distance of sight is within the threshold value of the allowed range of the distance of sight, no action is executed; otherwise, if the distance is not within the allowable range threshold value of the distance, sending an alarm signal to a processing unit of the distance correction system; the processing unit receives the warning signal to analyze and controls a loudspeaker unit of the sight distance correction system to give an alarm.
The invention has the following beneficial effects and advantages:
1. according to the method, two models obtained through multivariate linear regression can be used for predicting two different diagnosis and treatment modes and solving functions through the first data fitting module and the second data fitting module respectively, and can also be used for carrying out residual error detection on results and detecting the accuracy of the models;
2. when the threshold value of the allowable range of the visual distance is obtained, a medical statistics mode is adopted, the obtained visual distance range is more accurate aiming at the determination of the visual distance range, and meanwhile, a visual distance correction system is designed, so that the visual distance information of a doctor is collected in real time, and the doctor is reminded of keeping the visual distance within the threshold value of the allowable range of the visual distance in real time;
3. the sample data of the invention is from clinical actual measurement, has higher practicability and advancement, links the visual distance, the body position of the electric treatment chair and the chair seat angle through a multi-linear regression processing mode, predicts the rising height of the electric treatment chair through the independent variable doctor sitting height, the chair back included angle and the doctor visual distance range, and solves the problem of automatically realizing the adjustment work of the electric treatment chair;
4. the regression analysis of the invention can accurately measure the correlation degree between all factors and the degree of regression fitting, and improve the effect of the prediction equation.
Drawings
FIG. 1 is a system block diagram of the automatic adjustment system for a motorized treatment chair of the present invention;
FIG. 2 is a flow chart of a method of establishing a lift model for a motorized treatment chair of the present invention;
FIG. 3 is a flow chart of a control method of the present invention;
fig. 4 is a schematic view of the height elevation principle of the electric treatment chair of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, a system framework diagram of an automatic adjustment system of an electric treatment chair of the present invention comprises: the device comprises a data acquisition module, a first data fitting module, a second data fitting module, a data processing module, a data output module and an execution control unit; the device also comprises an upper computer; the upper computer can adopt a human-computer interaction interface, the human-computer interaction interface is used for inputting user information, displaying a lifting height model of the electric treatment chair for diagnosing and treating the maxillary dentition mode and a lifting height model of the electric treatment chair for diagnosing and treating the mandibular dentition mode, and the user can select the lifting height model; and when the man-machine interaction interface receives the trigger of the selected model, executing corresponding data fitting.
The data acquisition module is used for respectively sending the acquired acquisition parameter information to the first data fitting module and the second data fitting module; sending the collected parameter information of the current personnel to be inspected to a data processing module;
fig. 4 is a schematic diagram of the height-increasing principle of the electric treatment chair of the present invention, wherein the diagram includes parameter information required in the present embodiment;
wherein, the parameter information includes: the included angle of the chair back of the treatment chair, the sight distance information of doctors during diagnosis and treatment and the height information of the chairs of the doctors;
the included angle of the chair back of the treatment chair is as follows: the angle formed between the chair back of the treatment chair and the perpendicular bisector.
The first data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing to obtain a lifting height model of the electric treatment chair for treating the maxillary dentition pattern, and sending the lifting height model to the data processing module for storage;
the second data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing, acquiring a lifting height model of the lower jaw dentition mode electric treatment chair for diagnosis and treatment, and sending the lifting height model to the data processing module for storage;
the data processing module is used for receiving and storing a diagnosis and treatment upper jaw dentition mode electric treatment chair lifting height model and a diagnosis and treatment lower jaw dentition mode electric treatment chair lifting height model, and selecting a corresponding model according to an instruction; meanwhile, parameter information acquired by the data acquisition module is received, and the rising height of the electric treatment chair is acquired through the selected model;
the data output module is connected with the execution control unit and is used for sending the height of the electric treatment chair to the execution control unit;
and the execution control unit is used for controlling the lifting motor or the pitching motor of the corresponding electric treatment chair to execute corresponding actions according to the data output by the data output module.
A data acquisition module comprising: the chair back sensor, the sight distance correction system and the doctor chair seat height sensor are respectively connected with the first data fitting module and the second data fitting module;
the height sensor of the doctor seat is a laser ranging sensor and is arranged at the bottom of the doctor seat, and the measuring end of the height sensor of the doctor seat is arranged right opposite to the ground and is used for collecting the height information of the doctor seat from the ground;
the visual distance correction system is arranged on the oral cavity surface cover worn by the doctor and used for detecting visual distance information of the doctor in real time during diagnosis and treatment; wherein, oral cavity face guard is prior art, and arbitrary oral cavity face guard that contains the head circle wearing methods all accords with the requirement in this embodiment.
The chair back sensor is an angle sensor and is arranged on the rotating main shaft of the treatment chair to detect the angle information of the rotation of the chair back of the treatment chair and acquire the included angle of the chair back of the treatment chair according to the perpendicular bisector at the position of the chair back.
A system for correcting visual distance, comprising: the processing unit, and a far infrared distance meter, a communication module and a loudspeaker unit which are connected with the processing unit;
the far infrared distance meter is arranged at the center of the head ring of the oral mask, and the emission direction of the far infrared distance meter irradiates in the oral cavity range of a person to be detected so as to detect sight distance information of a doctor during diagnosis and treatment in real time;
the communication module, the processing unit and the loudspeaker unit are arranged in an installation box outside the head ring;
the far infrared distance meter is connected with the processing unit and is used for transmitting the detected sight distance to the processing unit in real time;
the processing unit is used for converting the electric signals transmitted by the far infrared distance meter into digital signals and sending the digital signals to the first data fitting module or the second data fitting module through the communication module for fitting; the first data fitting module or the second data fitting module processes the data to obtain sight distance range information corresponding to different models;
meanwhile, a warning signal which is sent by the first data fitting module or the second data fitting module and is not in the sight distance range information is received, the processing unit receives the warning signal to analyze, and controls the loudspeaker unit to give an alarm.
FIG. 2 is a flow chart of a method for establishing a lifting model of the electric treatment chair according to the present invention; the invention comprises the following steps:
1) in this embodiment, for each sample data in 100 sets of sample data;
the data acquisition module acquires 100 sample data in two modes to obtain parameter information, and the method comprises the following steps: doctor seat height information X 1 And sight distance information X for doctor during diagnosis and treatment 2 Sine value X of included angle alpha of chair back 3 And a current electric treatment chair height Y;
wherein, two modes include: diagnosing and treating a lifting height model of the upper jaw dentition mode electric treatment chair and a lifting height model of the lower jaw dentition mode electric treatment chair;
2) the data acquisition module respectively sends parameter information acquired by the maxillary dentition mode electric treatment chair lifting height model and the maxillary dentition mode electric treatment chair lifting height model to a first fitting module and a second fitting module, and the first fitting module and the second fitting module perform multivariate linear regression processing and establish an initial model of the lifting height of the electric treatment chair;
3) the first fitting module and the second fitting module estimate model parameters in the obtained initial models respectively, solve the model parameters and combine parameter information of sample data to obtain a diagnosis and treatment maxillary dentition mode electric treatment chair lifting height model and a diagnosis and treatment mandibular dentition mode electric treatment chair lifting height model respectively, and determine a sight distance range threshold value simultaneously;
4) when a doctor diagnoses, the height information X of the doctor seat at the moment of the data acquisition module 1 And sight distance information X for doctor during diagnosis and treatment 2 The included angle alpha of the chair back and the current height Y of the electric treatment chair are input into the data processing module, and the lifting height of the electric treatment chair is output to the data module output module according to the selected model of the person to be inspected;
5) the execution control unit controls the lifting motor of the corresponding electric treatment chair to rotate forwards or backwards according to the lifting height of the electric treatment chair output by the data output module so as to execute the lifting or lowering action of the electric treatment chair, and simultaneously judges the sight distance information X in real time when a doctor diagnoses 2 If the distance is within the sight distance range threshold value, and corresponding execution actions are taken.
Step 2), for each mode, establishing an initial model comprises the following steps:
in this example, the dependent variable Y and 3 independent variables X were measured one by one for 100 observation targets 1 ,X 2 ,X 3 Wherein, X 1 For this model, the height parameter of the traditional Chinese medical chair in the electric treatment chair, X 2 Under the two parameters, the sine value of the included angle between the upper half body and the perpendicular bisector when the electric treatment chair in the first data fitting module is used for treating the patient matched with the first two parameters is X 3 Y is the rising height of the electric treatment chair
2-1) establishing a multiple linear regression equation, namely:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 As an estimate of a model parameter, X 3 The sine value of the included angle alpha of the chair back is obtained;
2-2) versus model parameter beta 0 ，β 1 ，β 2 ，β 3 And the rising height Y of the current electric treatment chair is estimated, and the estimated values of the obtained model parameters are b 0 ，b 1 ，b 2 ，b 3 Establishing an estimated multiple linear regression equation:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 Is an estimate of a parameter of the model,
is an estimate of the current motorized treatment chair height Y, expressed in any set of independent variables X 1 ,X 2 ,X 3 The point estimate of the mean of time Y, i.e. the motorized treatment chair elevation.
The verification on the multiple linear regression equation is verified by residual errors, and
the difference with Y is commonly referred to as the residual, i.e.
Estimating model parameters beta 0, beta 1, beta 2, beta 3 and the height Y of the current electric treatment chair, specifically:
(1) determining the fitting condition of the estimated multiple linear regression equation, and enabling the sum of squares of residuals to be minimum according to the observed N cases of data through a least square method, namely enabling Q to be minimum, namely:
wherein, Y k For the height of the acquired electric treatment chair, X mk Chinese doctor's seat height information X as parameter information of sample data 1 And sight distance information X for doctor during diagnosis and treatment 2 Chair back clipSine value X of angle alpha 3 As an independent variable; q is the sum of the squares of the residual errors, n is the total number of parameters in the sample data, and m represents the number of independent variable types in the parameter information;
(2) solving for obtaining estimated values of model parameters according to equation (3-2), i.e. obtaining b 1 ，b 2 ，b 3 The values of (a) are specifically:
since the parameter information includes three arguments, where m is 3, the equation system defined by equation (3-2) is obtained:
wherein,
in the formula (3-3), when i ═ j, l ij Is the sum of the squared deviations of the independent variables; when i ≠ j, l ij Is the sum of the mean deviations of the two independent variables,/ jY Is an independent variable X j The sum of the mean deviation and the difference of the height Y of the electric treatment chair with the dependent variable;
solving the formula (3-3) to obtain b 1 ＝0.535,b 2 ＝-0.279,b 3 ＝0.713；
(3) B is obtained by solving 1 ，b 2 ，b 3 Solving the constant term b of the regression equation 0 Namely:
wherein,
is the average value of the lifting height of the electric treatment chair in the sample data,
for doctor's seat height information X 1 The mean value of,
Viewing distance information X for doctor diagnosis and treatment 2 The mean value of,
For sine value X of included angle alpha of chair back 3 The mean value of (a);
knowing the mean of the variables
Obtaining constant term b according to equation (3-4) 0 ；
In the present embodiment, the first and second electrodes are,
obtaining a constant term b 0 To obtain b 0 ＝-0.441；
The finally obtained model of the lifting height of the electric treatment chair in the maxillary dentition diagnosis and treatment mode is as follows:
(4) determining a lifting height model of the lower jaw dentition mode electric treatment chair for diagnosis and treatment according to the estimated multiple linear regression equation;
in this embodiment, the model of the elevation height of the maxillary dentition mode electric treatment chair is solved, and b is solved according to the formula (3-3) 1 ，b 2 ，b 3 Is obtained by
b 1 ＝0.515,b 2 ＝-0.374,b 3 ＝0.591，
In this embodiment, the average of each variable of the maxillary dentition mode electric treatment chair elevation model is as follows:
constant term can be obtained according to the formula (3-4)
b 0 ＝-0.284
So, the multiple linear regression equation is obtained, that is: the model of the lifting height of the maxillary dentition mode electric treatment chair is as follows:
for each mode, the determining of the visibility range threshold specifically includes:
wherein, this embodiment has confirmed the standardized scope of stadia when the dentist diagnoses through measurement and analysis to 100 observed object, and the stadia when the doctor of well oral cavity diagnoses above-mentioned is: the doctor points the glabella to the level of the labial surface of the middle incisor of the patient; as described in the system for correcting visual range in the present invention, the far infrared sensor is provided at the center of the head circle of the mask;
the specific obtaining process in this example is as follows:
giving probability 1-alpha as credibility (alpha is 0.95) in advance, and viewing distance information X when doctor makes diagnosis 2 Obeying a t distribution with overall mean μ and sample standard deviation S, then:
in this example, according to the normal distribution rule, 95% of z values are between-1.96 and 1.96, that is:
thereby obtaining a 95% confidence interval
According to the t distribution rule, the t value of 100% × (1-alpha) is-t α/2 And t α/2 Namely:
write the above equation as a trusted section:
t α/2 the limit value is found from a statistical t-value table, in the case of large samples (n is 100)>50) Whether or not the variables are normally distributed, according to the central limit theorem
All obey normal distribution, and the confidence interval can be approximately calculated by the following formula
According to the sample data N acquired by the data acquisition module, the sight distance information X of the doctor during diagnosis and treatment 2 Average of
The parameter upsilon-1, 1-alpha 0.95 is brought into
And obtaining the sight distance allowable range threshold of the first data fitting module or the second data fitting module.
In this example, N-100, v-N-1-99, α -0.05, and t are shown in the model 0.05/2,99 63.918, the lower and upper limits are obtained, respectively:
i.e. maxilla diagnosis and treatment, the sight distance of the doctor needs to be kept in the range of 0.3229-0.3436 m.
In this embodiment, the upper limit and the lower limit of the mandible mode are respectively:
i.e. during mandibular surgery, the surgeon's apparent distance needs to be maintained in the range of 0.3270-0.3478.
FIG. 3 is a flow chart of the control method of the present invention; when a doctor examines a person to be examined during upper jaw diagnosis and treatment or lower jaw diagnosis and treatment, the far infrared distance meter on the oral mask detects the visual range in real time and transmits the visual range to the processing unit of the visual range correcting system, and the processing unit sequentially sends the visual range to the data processing module through the communication module and the data acquisition module according to a model selected by the person to be examined;
the data processing module judges whether the sight distance information is within an allowable range threshold value according to the sight distance information received currently; if the distance of sight is within the threshold value of the allowed distance of sight range, if the distance of sight information detected by the far infrared sensor is 0.33m in the embodiment, no action is executed, and the far infrared sensor in the distance of sight correction system continues to monitor in real time; on the contrary, if the distance of sight is not within the threshold value of the allowed range of the distance of sight, if the distance of sight information detected by the far infrared sensor is 0.35m in the embodiment, the data processing module sends an alarm signal to the processing unit of the distance of sight correction system; the processing unit receives the warning signal to analyze and controls a loudspeaker unit of the sight distance correction system to alarm until sight distance information of a doctor meets the sight distance allowable range threshold.
Claims (9)
1. An automatic height adjustment system for an electric treatment chair of an oral treatment table, comprising: the device comprises a data acquisition module, a first data fitting module, a second data fitting module, a data processing module, a data output module and an execution control unit;
the data acquisition module is used for respectively sending the acquired acquisition parameter information to the first data fitting module and the second data fitting module; sending the collected parameter information of the current personnel to be checked to a data processing module;
the first data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing to obtain a lifting height model of the electric treatment chair for treating the maxillary dentition pattern, and sending the lifting height model to the data processing module for storage;
the second data fitting module is used for receiving the parameter information sent by the data acquisition module, performing data multiple linear regression processing, acquiring a lifting height model of the lower jaw dentition mode electric treatment chair for diagnosis and treatment, and sending the lifting height model to the data processing module for storage;
the data processing module is used for receiving and storing a diagnosis and treatment upper jaw dentition mode electric treatment chair lifting height model and a diagnosis and treatment lower jaw dentition mode electric treatment chair lifting height model, and selecting a corresponding model according to an instruction; meanwhile, parameter information acquired by the data acquisition module is received, and the rising height of the electric treatment chair is acquired through the selected model;
the data output module is connected with the execution control unit and is used for sending the height of the electric treatment chair to the execution control unit;
and the execution control unit is used for controlling the lifting motor or the pitching motor of the corresponding electric treatment chair to execute corresponding actions according to the data output by the data output module.
2. The system of claim 1, wherein the parameter information comprises: the included angle of the chair back of the treatment chair, the sight distance information of doctors during diagnosis and treatment and the height information of the chairs of the doctors;
the included angle of the chair back of the treatment chair is as follows: the angle formed between the chair back of the treatment chair and the perpendicular bisector.
3. The system of claim 1, wherein the data collection module comprises: the chair back sensor, the sight distance correction system and the doctor chair seat height sensor are respectively connected with the first data fitting module and the second data fitting module;
the height sensor of the doctor seat is a laser ranging sensor and is arranged at the bottom of the doctor seat, and the measuring end of the height sensor of the doctor seat is arranged right opposite to the ground and is used for collecting the height information of the doctor seat from the ground;
the visual range correcting system is arranged on the oral cavity surface cover worn by a doctor and is used for detecting visual range information of the doctor in real time during diagnosis and treatment;
the chair back sensor is an angle sensor and is arranged on a rotating main shaft of the treatment chair to detect the chair back rotating angle information of the treatment chair and acquire the included angle of the chair back of the treatment chair according to the perpendicular bisector at the chair back.
4. The automatic height adjustment system for an electric treatment chair of an oral treatment table according to claim 3, wherein the system for correcting visual range comprises: the processing unit, and a far infrared distance meter, a communication module and a loudspeaker unit which are connected with the processing unit;
the far infrared distance meter is arranged at the center of the head ring of the oral mask, and the emission direction of the far infrared distance meter irradiates in the oral cavity range of a person to be detected so as to detect sight distance information of a doctor during diagnosis and treatment in real time;
the communication module, the processing unit and the loudspeaker unit are arranged in an installation box outside the head ring;
the far infrared distance meter is connected with the processing unit and is used for transmitting the detected sight distance to the processing unit in real time;
the processing unit is used for converting the electric signals transmitted by the far infrared distance meter into digital signals and sending the digital signals to the first data fitting module or the second data fitting module through the communication module for fitting; the first data fitting module or the second data fitting module processes the data to obtain sight distance range information corresponding to different models;
meanwhile, a warning signal which is sent by the first data fitting module or the second data fitting module and is not in the sight distance range information is received, the processing unit receives the warning signal to analyze, and controls the loudspeaker unit to give an alarm.
5. The adjusting method of the automatic height adjusting system of the electric treatment chair for the oral treatment table is characterized by comprising the following steps of:
1) for each sample data in the N sample data;
the data acquisition module acquires N sample data in two modes and acquires parameter information, and the method comprises the following steps: doctor seat height information X 1 And sight distance information X for doctor during diagnosis and treatment 2 Sine value X of included angle alpha of chair back 3 And a current electric treatment chair height Y;
wherein, two modes include: diagnosing and treating a lifting height model of the upper jaw dentition mode electric treatment chair and a lifting height model of the lower jaw dentition mode electric treatment chair;
2) the data acquisition module respectively sends the acquired parameter information to the first fitting module and the second fitting module, and the first fitting module and the second fitting module perform multiple linear regression processing and establish an initial model of the lifting height of the electric treatment chair;
3) the first fitting module and the second fitting module estimate model parameters in the obtained initial models respectively, solve the model parameters and combine parameter information of sample data to obtain a diagnosis and treatment maxillary dentition mode electric treatment chair lifting height model and a diagnosis and treatment mandibular dentition mode electric treatment chair lifting height model respectively, and determine a sight distance range threshold value simultaneously;
4) when a doctor diagnoses, the height information X of the doctor seat at the moment of the data acquisition module 1 And sight distance information X for doctor during diagnosis and treatment 2 The included angle alpha of the chair back and the height Y of the current electric treatment chair are input into the data processing module, and the rising height of the electric treatment chair is output according to the selected model of the person to be inspected
To the data module output module;
5) the execution control unit is used for executing the lifting height of the electric treatment chair output by the data output module
The lifting motor of the corresponding electric treatment chair is controlled to rotate forwards or backwards to execute the lifting or lowering action of the electric treatment chair, and meanwhile, the sight distance information X of a doctor during diagnosis and treatment is judged in real time 2 If the distance is within the sight distance range threshold value, and corresponding execution actions are taken.
6. The adjustment method of the automatic height adjustment system for electric chair of oral treatment table according to claim 5, wherein said step 2), for each mode, establishing an initial model comprises the steps of:
2-1) height information X of the traditional Chinese medical student seat according to parameter information of sample data 1 And sight distance information X for doctor during diagnosis and treatment 2 Establishing a multivariate linear regression equation by using the included angle alpha of the chair back, namely:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 As an estimate of a model parameter, X 3 The sine value of the included angle alpha of the chair back is obtained;
2-2) versus model parameter beta 0 ，β 1 ，β 2 ，β 3 And the rising height Y of the current electric treatment chair is estimated, and the estimated values of the obtained model parameters are b 0 ，b 1 ，b 2 ，b 3 Establishing an estimated multiple linear regression equation:
wherein, b 0 Is a constant term, b 1 ，b 2 ，b 3 Is an estimate of a parameter of the model,
is an estimate of the current motorized treatment chair height Y, expressed in any set of independent variables X 1 ,X 2 ,X 3 The point estimate of the mean of time Y, i.e. the motorized treatment chair elevation.
7. The method of claim 6, wherein the model parameter β is a model parameter β 0 ，β 1 ，β 2 ，β 3 And estimating the height Y of the current electric treatment chair, specifically:
(1) determining the fitting condition of the estimated multiple linear regression equation, and enabling the sum of squares of residuals to be minimum according to the observed N cases of data through a least square method, namely enabling Q to be minimum, namely:
wherein, Y k For the height of the acquired electric treatment chair, X mk Chinese doctor's seat height information X as parameter information of sample data 1 And sight distance information X for doctor during diagnosis and treatment 2 Sine value X of included angle alpha of chair back 3 As an independent variable; q is the sum of the squares of the residual errors, n is the total number of parameters in the sample data, and m represents the number of independent variable types in the parameter information;
(2) solving to obtain the estimated values of the model parameters according to equation (3-2), i.e. obtaining b 1 ，b 2 ，b 3 The values of (a) are specifically:
since the parameter information includes three arguments, where m is 3, the equation system defined by equation (3-2) is obtained:
wherein,
in the formula (3-3), when i ═ j, l ij Is the sum of the squared deviations of the independent variables; when i ≠ j, l ij Is the sum of the mean deviations of the two independent variables,/ jY Is an independent variable X j The sum of the mean deviation and the difference of the height Y of the electric treatment chair with the dependent variable;
(3) solved to obtain b 1 ，b 2 ，b 3 Solving the constant term b of the regression equation 0 Namely:
wherein,
is the average value of the lifting height of the electric treatment chair in the sample data,
for doctor's seat height information X 1 The mean value of,
Viewing distance information X for doctor diagnosis and treatment 2 The mean value of,
Is the sine value X of the included angle alpha of the chair back 3 The mean value of (a);
knowing the mean of the variables
Obtaining constant term b according to equation (3-4) 0 ；
(4) And determining a lifting height model of the diagnosis and treatment maxillary dentition mode electric treatment chair or a lifting height model of the diagnosis and treatment mandibular dentition mode electric treatment chair according to the estimated multiple linear regression equation.
8. The adjusting method of the automatic height adjusting system of the electric treatment chair for the oral treatment table according to claim 5, wherein in the step 2), for each mode, the threshold of the sight distance range is determined, specifically:
A. giving probability 1-alpha as credibility in advance, and viewing distance information X during doctor diagnosis and treatment 2 Obeying a t distribution with overall mean μ and sample standard deviation S, then:
wherein N is the number of samples,
viewing distance information X for doctor diagnosis and treatment 2 Average of (d);
B. according to the t distribution rule, the t value of 100% × (1-alpha) is-t α/2 And t α/2 Namely:
the above equation is transformed into a trusted section, namely:
wherein, t α/2 The boundary value is obtained by looking up a statistical t value table according to the central limit theorem
All obey normal distribution, and the confidence interval is approximately:
the lower and upper line-of-sight limits of the first or second data fitting module are respectively:
C. according to the sample data N acquired by the data acquisition module, the sight distance information X of the doctor during diagnosis and treatment 2 Average of
The parameter upsilon-1, 1-alpha 0.95 is brought into
And obtaining the sight distance allowable range threshold of the first data fitting module or the second data fitting module.
9. The adjusting method of the automatic height adjusting system for the electric treatment chair of the oral treatment table according to claim 5, wherein the step 5) comprises:
when a doctor examines a person to be examined, the far infrared distance meter on the oral cavity mask detects the visual range in real time and transmits the visual range to the processing unit of the visual range correcting system, and the processing unit sequentially sends the visual range to the data processing module through the communication module and the data acquisition module according to a model selected by the person to be examined;
the data processing module judges whether the sight distance information is within an allowable range threshold value according to the sight distance information received currently; if the distance of sight is within the threshold value of the allowed range of the distance of sight, no action is executed; otherwise, if the distance is not within the allowable range threshold value of the distance, sending an alarm signal to a processing unit of the distance correction system; the processing unit receives the warning signal to analyze and controls a loudspeaker unit of the sight distance correction system to give an alarm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118178146A (en) * | 2023-08-31 | 2024-06-14 | 浙江飞曼医疗科技有限公司 | Operating table and electric control system thereof |
| CN118178146B (en) * | 2023-08-31 | 2024-10-29 | 浙江飞曼医疗科技有限公司 | Operating table and electric control system thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4699423A (en) * | 1986-01-28 | 1987-10-13 | Ramot University Authority For Applied Research & Industrial Development Ltd. | Chair system particularly useful for a dental office |
| JPH03114465A (en) * | 1989-09-29 | 1991-05-15 | Morita Tokyo Seisakusho:Kk | Dental treatment apparatus |
| US5484188A (en) * | 1992-09-24 | 1996-01-16 | Siemens Aktiengesellschaft | Dental patient chair |
| CN101542556A (en) * | 2006-08-25 | 2009-09-23 | 学校法人日本齿科大学 | Medical training apparatus |
| WO2011116332A2 (en) * | 2010-03-18 | 2011-09-22 | SPI Surgical, Inc. | Surgical cockpit comprising multisensory and multimodal interfaces for robotic surgery and methods related thereto |
| US20180110667A1 (en) * | 2016-10-21 | 2018-04-26 | Zoll Medical Corporation | Adaptive body positioning |
| CN213218732U (en) * | 2020-08-14 | 2021-05-18 | 山西医科大学第一医院 | Avoid cross infection's individualized dental chair |
-
2022
- 2022-04-15 CN CN202210398466.6A patent/CN114848381B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4699423A (en) * | 1986-01-28 | 1987-10-13 | Ramot University Authority For Applied Research & Industrial Development Ltd. | Chair system particularly useful for a dental office |
| JPH03114465A (en) * | 1989-09-29 | 1991-05-15 | Morita Tokyo Seisakusho:Kk | Dental treatment apparatus |
| US5484188A (en) * | 1992-09-24 | 1996-01-16 | Siemens Aktiengesellschaft | Dental patient chair |
| CN101542556A (en) * | 2006-08-25 | 2009-09-23 | 学校法人日本齿科大学 | Medical training apparatus |
| US20100003657A1 (en) * | 2006-08-25 | 2010-01-07 | Naotake Shibui | Medical training apparatus |
| WO2011116332A2 (en) * | 2010-03-18 | 2011-09-22 | SPI Surgical, Inc. | Surgical cockpit comprising multisensory and multimodal interfaces for robotic surgery and methods related thereto |
| US20180110667A1 (en) * | 2016-10-21 | 2018-04-26 | Zoll Medical Corporation | Adaptive body positioning |
| CN213218732U (en) * | 2020-08-14 | 2021-05-18 | 山西医科大学第一医院 | Avoid cross infection's individualized dental chair |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118178146A (en) * | 2023-08-31 | 2024-06-14 | 浙江飞曼医疗科技有限公司 | Operating table and electric control system thereof |
| CN118178146B (en) * | 2023-08-31 | 2024-10-29 | 浙江飞曼医疗科技有限公司 | Operating table and electric control system thereof |
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