CN115177218A - Early warning detector for scoliosis and muscle fatigue and control method thereof - Google Patents

Early warning detector for scoliosis and muscle fatigue and control method thereof Download PDF

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Publication number
CN115177218A
CN115177218A CN202210759763.9A CN202210759763A CN115177218A CN 115177218 A CN115177218 A CN 115177218A CN 202210759763 A CN202210759763 A CN 202210759763A CN 115177218 A CN115177218 A CN 115177218A
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Prior art keywords
pulley
early warning
stroke
data
spine
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Inventor
郭永飞
周怡
许文
刘书朋
潘伟成
刘勇
陈娜
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Shangshou Jinzhong Operative Instrument Jiangsu Co ltd
Shanghai Changzheng Hospital
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Shangshou Jinzhong Operative Instrument Jiangsu Co ltd
Shanghai Changzheng Hospital
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Priority to CN202210759763.9A priority Critical patent/CN115177218A/en
Publication of CN115177218A publication Critical patent/CN115177218A/en
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1071—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring angles, e.g. using goniometers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Abstract

The invention discloses a scoliosis and muscle fatigue early warning detector and a control method thereof. The intelligent temperature measurement system comprises a plurality of infrared temperature measurement probes, a photoelectric sensing module, a power supply control module, a data receiver, a data processor (MCU), a data memory, a wireless transmission module, an intelligent terminal and the like. The multi-probe infrared temperature measurement mode adopted by the invention can effectively improve and avoid the bad characteristics of incapability of measuring temperature at a short distance and for a long time and the like; the photoelectric sensing module can position the position of the acquisition point; the wireless transmission module is associated with the intelligent terminal, and achieves an early warning effect by utilizing the strong operational capability of the intelligent terminal.

Description

Early warning detector for scoliosis and muscle fatigue and control method thereof
Technical Field
The invention relates to a scoliosis and muscle fatigue early warning detector and a control method thereof, belonging to the technical field of infrared detection.
Background
The early stage of the scoliosis usually has no obvious symptoms and is not easy to be found, so the early warning of the scoliosis becomes particularly critical, and the patient can correct the scoliosis in time.
Certain body conditions may exhibit temperature differences on the body surface, for example, the temperature near a breast mass may be 2-3 degrees celsius higher than the temperature of the surrounding tissue. Back pain also manifests as a temperature differential across the body surface, which can vary by as much as 0.3 degrees or even as much as 1 degree. Therefore, possible diseases are predicted or judged by measuring the difference of the body surface temperature, and if the temperature difference distribution is drawn by simply measuring the temperature, the method is favorable for judging the diseases and has important clinical significance.
The non-contact temperature measurement has the advantages of simple measurement, no contact and the like, and can be used for medical non-contact temperature measurement. The infrared thermometer is taken as the most main non-contact temperature measuring tool at present, has the advantages of high response speed, simple operation, non-contact measurement and the like, has measurement precision basically comparable to that of a mercury thermometer under a normal-temperature working environment, and is widely applied to occasions such as epidemic prevention and control, disease temperature detection and the like. However, when the internal temperature of the infrared thermometer is not balanced with the temperature of the working environment, heat exchange occurs, thermal shock is generated, and the measurement accuracy is affected. Therefore, the influence of low-temperature environment on thermal shock of the infrared thermometer is reduced or overcome, and the method has important research value and practical significance.
Disclosure of Invention
The invention provides a scoliosis and muscle fatigue early warning detector and a control method thereof, which solve the problems disclosed in the background technology.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a scoliosis early warning detector, comprising:
a sliding module: the detecting instrument slides on the spine to be detected through the left pulley and the right pulley;
photoelectric sensing module: the device is used for acquiring the stroke and the speed of the left pulley and the right pulley;
the intelligent terminal: the device is used for calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is larger than a set threshold value.
Further, the process that the intelligent terminal calculates the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley is as follows:
Figure BDA0003723915300000021
Figure BDA0003723915300000022
the angle of the lateral curvature of the spinal column is,
Figure BDA0003723915300000023
is the speed integral of different positions on the left pulley stroke,
Figure BDA0003723915300000024
is the speed integral of different positions on the right pulley stroke,
Figure BDA0003723915300000025
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
Further, still include: a 3D acceleration sensor for correcting position and velocity data for each pulley.
Correspondingly, the control method of the scoliosis early warning detector comprises the following steps:
sliding a detector on the spine to be detected;
respectively acquiring the stroke and the speed of a left pulley and a right pulley;
and calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is greater than a set threshold value.
Further, the process that the intelligent terminal calculates the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley is as follows:
Figure BDA0003723915300000031
Figure BDA0003723915300000032
the angle of the lateral curvature of the spinal column is,
Figure BDA0003723915300000033
is the speed integral of different positions on the left pulley stroke,
Figure BDA0003723915300000034
is the speed integral of different positions on the right pulley stroke,
Figure BDA0003723915300000035
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
An early warning detector of muscle fatigue comprising:
a sliding module: the device comprises a left pulley and a right pulley, and the detecting instrument slides on the area to be detected through the left pulley and the right pulley;
photoelectric sensing module: the data acquisition device is used for giving data acquisition points on the strokes of the left pulley and the right pulley;
a temperature measurement module: the temperature data acquired by the infrared temperature measuring probes at the data acquisition points is acquired;
the intelligent terminal: the temperature difference calculation module is used for comparing the temperature data on all the data acquisition points to calculate the temperature difference, and when the temperature difference exceeds a threshold value, an early warning signal is sent out.
Correspondingly, the control method of the muscle fatigue early warning detector comprises the following steps:
sliding the detector in the area to be detected;
giving data acquisition points on the strokes of the left pulley and the right pulley;
the temperature data collected by the plurality of infrared temperature measuring probes at the data collecting points;
and comparing the temperature data of all the data acquisition points to calculate the temperature difference, and sending out an early warning signal when the temperature difference exceeds a threshold value.
Furthermore, the infrared temperature measuring probe collects a plurality of groups of temperature data at the data collection point and takes the average value as the temperature data of the data collection point.
Accordingly, a computer readable storage medium storing one or more programs for: the one or more programs include instructions which, when executed by a computing device, cause the computing device to perform a method according to any of the methods described above.
Accordingly, a computing device, comprising:
one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods described above.
The invention achieves the following beneficial effects:
the detector provided by the invention can acquire early warning of scoliosis and muscle fatigue conditions by only scanning the region to be detected, and has the advantages of convenient operation and reliable diagnosis result.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic structural view of the present invention;
FIG. 3 is a schematic view of pulley travel and lateral curvature of spine angle;
fig. 4 is a schematic structural diagram of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
As shown in fig. 1-2, the present invention provides a scoliosis early warning detector, which comprises:
a sliding module: the detecting instrument slides on the spine to be detected through the left pulley and the right pulley; a three-wheel mode can also be adopted, and a front wheel is also included;
photoelectric sensing module: the device comprises a photoelectric decoder arranged on each pulley, wherein the photoelectric decoder is used for recording the speed and the stroke of the pulley; the left pulley and the right pulley are also respectively provided with a 3D acceleration MEMs sensor for correcting the position and the speed of each wheel; a multi-axis 3D acceleration sensor and a multi-axis gyroscope are also arranged to be combined, and the space change information on the body surface is detected;
a wireless transmission module: transmitting the stroke and speed data of the pulley to the intelligent terminal;
the intelligent terminal: the device is used for calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is larger than a set threshold value; a lateral curvature of the spine can be diagnosed as a general lateral curvature angle exceeding 10 degrees;
the intelligent terminal calculates the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley:
Figure BDA0003723915300000051
Figure BDA0003723915300000052
the angle of the lateral curvature of the spinal column is,
Figure BDA0003723915300000053
is the speed integral of different positions on the left pulley stroke,
Figure BDA0003723915300000054
is the speed integral of different positions on the right pulley stroke,
Figure BDA0003723915300000055
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
As shown in fig. 3, the stroke of the left and right pulleys and the scoliosis angle are displayed through the intelligent terminal, and the scoliosis degree of the scoliosis is visually displayed.
Correspondingly, the control method of the spine lateral bending early warning detector comprises the following steps:
sliding a detector on the spine to be detected;
respectively acquiring the stroke and the speed of a left pulley and a right pulley;
and calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is greater than a set threshold value.
Further, the process that the intelligent terminal calculates the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley is as follows:
Figure BDA0003723915300000061
Figure BDA0003723915300000062
the angle of the lateral curvature of the spinal column is,
Figure BDA0003723915300000063
is the speed integral of different positions on the left pulley stroke,
Figure BDA0003723915300000064
is the speed integral of different positions on the right pulley stroke,
Figure BDA0003723915300000065
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
Example 2
As shown in fig. 1-2, the present invention provides an early warning detector for muscular fatigue, comprising:
a sliding module: the device comprises a left pulley and a right pulley, and the detector slides on a region to be detected through the left pulley and the right pulley;
photoelectric sensing module: the data acquisition device is used for giving data acquisition points on the strokes of the left pulley and the right pulley;
a temperature measurement module: the temperature difference can avoid the influence of the working environment temperature on the temperature measurement of the probes when a single probe measures the temperature due to the multi-probe temperature measurement; the infrared temperature measuring probe collects temperature data at a data collecting point; the infrared temperature measuring probe preferably adopts an MLX90614 infrared temperature sensor;
a data processor: for correcting temperature data; chip communication is adopted, stm32f103c8t6 is used for programming communication, a single chip microcomputer is used as a host, a sensor is used as a slave, data reading and writing are realized by means of double wires of the sensor, one wire provides a stable clock signal, the other wire transmits data, and the signal frequency of the signal needs to be within the range of 10kHz to 100 kHz;
a wireless transmission module: the intelligent terminal is used for transmitting the temperature data to the intelligent terminal;
the intelligent terminal: the temperature data acquisition device is used for comparing the temperature data on all the data acquisition points to calculate the temperature difference, and sending out an early warning signal when the temperature difference exceeds a threshold value; preferably, the infrared temperature measuring probe collects a plurality of groups of temperature data at a data collecting point and takes an average value as the temperature data of the data collecting point, specifically collects 100 groups of data, and reduces the interference of the sensor by environment and other factors through a maximum average value algorithm; carrying out temperature difference color identification on each data acquisition point, and visually displaying the fatigue degree of muscles;
correspondingly, the control method of the muscle fatigue early warning detector comprises the following steps:
sliding the detector in the area to be detected;
giving data acquisition points on the strokes of the left pulley and the right pulley;
the temperature data collected by the plurality of infrared temperature measuring probes at the data collecting points;
comparing the temperature data of all the data acquisition points to calculate temperature difference, and sending out an early warning signal when the temperature difference exceeds a threshold value; the infrared temperature measuring probe collects a plurality of groups of temperature data at the data collecting point and takes the average value as the temperature data of the data collecting point.
Researches show that the body surface of the spine of a patient suffering from scoliosis and ankylosing spondylitis has temperature difference changes, and the temperature difference of the spine part has the potential of being used as early warning and evaluation indexes of fatigue and scoliosis. Therefore, the muscle fatigue early warning detector can also be applied to early warning of scoliosis and ankylosing spondylitis.
Example 3
As shown in fig. 1-4, the scoliosis early warning detector and the muscular fatigue early warning detector described above are combined.
As shown in fig. 1, the internal control of the early warning detector for scoliosis and muscle fatigue of the invention comprises an S1-infrared temperature measuring probe, an S2-photoelectric sensing module, an S3-power supply control module, an S4-data receiver, an S5-data processor, an S6-data memory, an S7-wireless transmission module, and an S8-intelligent terminal, and the functions and processing processes are the same as above;
as shown in fig. 4, the external structure of the scoliosis and muscle fatigue early warning detector of the invention comprises an indicator lamp 1, a power button 2, a shell 3, a handheld handle 4, a pulley 5, a photoelectric sensor 6 and an infrared temperature sensor 7. The indicating lamp 1 and the power button 2 are arranged on the upper portion of the shell 3, the bottom of the shell 3 is provided with the pulley 5, the photoelectric sensor 6 and the infrared temperature sensor 7, the photoelectric sensor 6 is arranged on the pulley 5, and the infrared temperature sensor 7 is arranged beside the pulley 5.
The specific operation steps can be divided into the following three parts:
1. the preparation process comprises the following steps: selecting a section of spine (confirming the number of the joints and the length, starting from cervical vertebra or lumbar vertebra)
2. And (3) an inspection stage: pressing button 2, pilot lamp 1 lights, handheld detector handle 4 makes pulley 5 at the uniform velocity scan at the backbone, and photoelectric decoder 6 gives data acquisition point through the photoelectric distance sensing module of pulley, and two pulley photoelectric distance sensing modules gather the unit stroke of two pulleys simultaneously about, and infrared temperature sensor 7 gathers the temperature data that the object showed through many probes, and after the scanning, pressing the button once more, closing the detector, pilot lamp 2 goes out of the shade.
3. And (3) post-treatment stage: the information is transmitted to the PC intelligent terminal through the BS network module, software is visual and visual, and muscle fatigue conditions and whether the spine bends laterally or not are read out.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method of controlling a scoliosis, muscle fatigue early warning probe.
A computing device comprising one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing a method of controlling a scoliosis, muscle fatigue early warning detector.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (10)

1. An early warning detector of scoliosis, comprising:
a sliding module: the detecting instrument slides on the spine to be detected through the left pulley and the right pulley;
photoelectric sensing module: the device is used for acquiring the stroke and the speed of the left pulley and the right pulley;
the intelligent terminal: the device is used for calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is larger than a set threshold value.
2. The instrument according to claim 1, wherein the process of calculating the scoliosis angle of the spine by the intelligent terminal through the stroke and speed of the left and right pulleys comprises:
Figure FDA0003723915290000011
Figure FDA0003723915290000012
the angle of the lateral curvature of the spinal column is,
Figure FDA0003723915290000013
is the speed integral of different positions on the left pulley stroke,
Figure FDA0003723915290000014
is the speed integral of different positions on the right pulley stroke,
Figure FDA0003723915290000015
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
3. The scoliosis early warning probe of claim 1, further comprising: a 3D acceleration sensor for correcting position and velocity data for each pulley.
4. A control method of a scoliosis early warning detector is characterized by comprising the following steps:
sliding a detector on the spine to be detected;
respectively acquiring the stroke and the speed of a left pulley and a right pulley;
and calculating the lateral bending angle of the spine through the stroke and the speed of the left pulley and the right pulley, and sending out an early warning signal when the lateral bending angle of the spine is greater than a set threshold value.
5. The control method of the scoliosis early warning detector as claimed in claim 4, wherein the process of calculating the scoliosis angle of the spine by the intelligent terminal through the stroke and the speed of the left pulley and the right pulley is as follows:
Figure FDA0003723915290000021
Figure FDA0003723915290000022
the angle of the lateral curvature of the spinal column is,
Figure FDA0003723915290000023
is the speed integral of different positions on the left pulley stroke,
Figure FDA0003723915290000024
is the speed integral of different positions on the travel of the right pulley,
Figure FDA0003723915290000025
and the displacement is the function quadratic integral of the acceleration and is used for adjusting the displacement of the acceleration integral in three-dimensional different directions, omega is a deflection coefficient matrix, w1 and b1 are coefficients of the pulse stroke of the left pulley, w2 and b2 are coefficients of the pulse stroke of the right pulley, and x is the number of pulses recorded by a photoelectric decoder.
6. An early warning detector of muscle fatigue, comprising:
a sliding module: the device comprises a left pulley and a right pulley, and the detecting instrument slides on the area to be detected through the left pulley and the right pulley;
photoelectric sensing module: the data acquisition device is used for giving data acquisition points on the strokes of the left pulley and the right pulley;
a temperature measurement module: the temperature data acquired by the infrared temperature measuring probes at the data acquisition points is acquired;
the intelligent terminal: the temperature difference calculation module is used for comparing the temperature data on all the data acquisition points to calculate the temperature difference, and when the temperature difference exceeds a threshold value, an early warning signal is sent out.
7. A control method of a muscle fatigue early warning detector is characterized by comprising the following steps:
sliding the detector in the area to be detected;
giving data acquisition points on the strokes of the left pulley and the right pulley;
the temperature data collected by the plurality of infrared temperature measuring probes at the data collecting points;
and comparing the temperature data of all the data acquisition points to calculate the temperature difference, and sending out an early warning signal when the temperature difference exceeds a threshold value.
8. The method as claimed in claim 7, wherein the infrared thermometry probe collects several sets of temperature data at the data collection point and takes the average value as the temperature data of the data collection point.
9. A computer readable storage medium storing one or more programs, wherein: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 4, 5, 7, and 8.
10. A computing device, comprising:
one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 4, 5, 7, and 8.
CN202210759763.9A 2022-06-30 2022-06-30 Early warning detector for scoliosis and muscle fatigue and control method thereof Pending CN115177218A (en)

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