CN116092630A - Treatment method, system and medium for teenager scoliosis diseases - Google Patents
Treatment method, system and medium for teenager scoliosis diseases Download PDFInfo
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Abstract
The invention discloses a treatment method, a system and a medium for teenager scoliosis diseases, wherein the method comprises the following steps: acquiring patient case data information; obtaining patient body type data information according to the patient case data information; matching corresponding soft support according to the human body data range in which the body type data of the patient fall; acquiring parameter information of a patient during treatment based on a soft brace; obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment; and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree. According to the invention, the real-time posture data of the spine of the patient is acquired through various sensors in the soft support, so that the soft support is dynamically adjusted, and accurate adjustment force values are applied to the position of the scoliosis through the soft support, so that the scoliosis is gradually recovered.
Description
Technical Field
The present application relates to the field of medical technology, and more particularly, to a method, system, and medium for treatment of juvenile scoliosis disease.
Background
Adolescent idiopathic scoliosis has become the 5 th most common disease of adolescents worldwide following visual abnormalities, obesity, phimosis and psychosocial disorders, and their treatment regimens are divided into surgical and non-surgical treatments. If the patient is teenager, non-operative treatment should be selected, the correction of scoliosis mainly uses a brace to wear at present, but the traditional brace is a hard brace, and when the traditional hard brace is worn, the muscles beside the spine can not actively perform isotonia and isometric contraction, which may cause iatrogenic muscular atrophy, and the traditional hard brace can not effectively feed back the information of the patient during treatment.
Accordingly, there is a need for improvement in the art.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a treatment method, system and medium for teenager scoliosis diseases, which accurately corrects the scoliosis position through a soft brace.
In a first aspect, the invention provides a method of treatment for juvenile scoliosis disease comprising:
acquiring patient case data information;
obtaining patient body type data information according to the patient case data information;
matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
acquiring parameter information of a patient during treatment based on a soft brace;
obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment;
and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
In this aspect, before the step of obtaining the parameter information of the patient during treatment, the method further includes:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree specifically includes:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree still includes:
acquiring the number information of normal parameters in a normal parameter set;
judging whether the number of the normal parameters in the normal parameter set is larger than a preset number threshold; if yes, the number of the normal parameters in the corresponding normal parameter set meets the requirement; otherwise, the method is not satisfactory.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree still includes:
carrying out average value calculation on normal parameters in the normal parameter set to obtain an average value of all the normal parameters;
and setting the average value of all the normal parameters as an accurate value for detecting scoliosis, namely the scoliosis position and the scoliosis degree.
In this scheme, the step of carrying out dynamic adjustment to the software brace according to the position and the side bending degree of scoliosis specifically includes:
when the lateral bending degree of the scoliosis is larger than a preset second threshold value, adjusting the scoliosis according to a preset initial adjusting force value;
when the scoliosis degree is smaller than or equal to a preset second threshold value, the initial adjusting force value of the scoliosis is equal to the product of the scoliosis degree and a preset force conversion coefficient;
obtaining the scoliosis direction according to the scoliosis position and the scoliosis degree;
the initial adjusting force value of the scoliosis is in the opposite direction of the scoliosis;
and adjusting the soft brace through the position of the scoliosis, the initial adjusting force value of the scoliosis and the direction corresponding to the initial adjusting force value.
The second aspect of the present invention provides a treatment system for juvenile scoliosis diseases, including a memory and a processor, where the memory stores a treatment method program for juvenile scoliosis diseases, and the treatment method program for juvenile scoliosis diseases is executed by the processor to implement the following steps:
acquiring patient case data information;
obtaining patient body type data information according to the patient case data information;
matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
acquiring parameter information of a patient during treatment based on a soft brace;
obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment;
and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
In this aspect, before the step of obtaining the parameter information of the patient during treatment, the method further includes:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree specifically includes:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree still includes:
acquiring the number information of normal parameters in a normal parameter set;
judging whether the number of the normal parameters in the normal parameter set is larger than a preset number threshold; if yes, the number of the normal parameters in the corresponding normal parameter set meets the requirement; otherwise, the method is not satisfactory.
In this scheme, according to the parameter of patient when the treatment, the step of obtaining scoliosis position and side bending degree still includes:
carrying out average value calculation on normal parameters in the normal parameter set to obtain an average value of all the normal parameters;
and setting the average value of all the normal parameters as an accurate value for detecting scoliosis, namely the scoliosis position and the scoliosis degree.
In this scheme, the step of carrying out dynamic adjustment to the software brace according to the position and the side bending degree of scoliosis specifically includes:
when the lateral bending degree of the scoliosis is larger than a preset second threshold value, adjusting the scoliosis according to a preset initial adjusting force value;
when the scoliosis degree is smaller than or equal to a preset second threshold value, the initial adjusting force value of the scoliosis is equal to the product of the scoliosis degree and a preset force conversion coefficient;
obtaining the scoliosis direction according to the scoliosis position and the scoliosis degree;
the initial adjusting force value of the scoliosis is in the opposite direction of the scoliosis;
and adjusting the soft brace through the position of the scoliosis, the initial adjusting force value of the scoliosis and the direction corresponding to the initial adjusting force value.
The third aspect of the present invention provides a computer medium having stored therein a treatment method program for juvenile scoliosis disease, which when executed by a processor, implements the steps of a treatment method for juvenile scoliosis disease as described in any of the above.
According to the treatment method, the system and the medium for the juvenile scoliosis diseases, real-time posture data of the spine of a patient are obtained through various sensors in the soft support, the soft support is dynamically adjusted, and accurate adjusting force values are applied to the position of the scoliosis through the soft support, so that the scoliosis is gradually recovered.
Drawings
FIG. 1 shows a flow chart of a method of treatment for juvenile scoliosis disease in accordance with the present invention;
FIG. 2 is a flowchart showing the steps for dynamically adjusting a soft brace based on the location of scoliosis and the degree of lateral curvature;
fig. 3 shows a block diagram of a treatment system for juvenile scoliosis disease in accordance with the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Figure 1 shows a flow chart of a method of treatment of juvenile scoliosis disease according to the present invention.
As shown in fig. 1, the invention discloses a treatment method for teenager scoliosis diseases, which comprises the following steps:
s102, acquiring patient case data information;
s104, obtaining patient body type data information according to the patient case data information;
s106, matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
s108, acquiring parameter information of a patient during treatment based on the soft brace;
s110, obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment;
s112, dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
It should be noted that, the soft brace is numbered in order from small to large, for example: m code, L code, etc.; the patient case data includes body type data information such as height, weight, etc. of the patient, for example: setting the height between 1.70 m and 1.75 m as a range, setting the weight between 65 kg and 70 kg as a range, setting the matched soft support as L code when the height or the weight is in the range, setting the size of the matched soft support as L code when the body form data of the patient is 1.71 m and the weight is 68 kg, acquiring parameter information such as position information of scoliosis of the patient, lateral bending degree information of scoliosis of the patient after the soft support is worn on the patient, determining a scoliosis adjusting force value and direction according to the lateral bending degree of the scoliosis, and dynamically adjusting the soft support according to the position of the scoliosis of the patient so as to achieve the purpose of correcting the scoliosis of the patient.
According to an embodiment of the present invention, before the step of obtaining the parameter information of the patient during treatment, the method further includes:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
It should be noted that, after the patient wears the soft brace, the patient needs to keep the preset action for a period of time to ensure the accuracy of the detection data acquired by the soft brace. The preset actions include: body back straightening, etc., specifically tailored to actual needs by those skilled in the art. If the preset first time is set to 2 minutes, the patient needs to keep the preset action for more than 2 minutes before starting the soft brace to acquire the parameters.
According to an embodiment of the present invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment specifically includes:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
When the scoliosis position and the scoliosis degree of the patient are different, the scoliosis is recorded as different scoliosis, and the different scoliosis is classified and is designated as a i Where i represents the number of scoliosis, the corresponding parameter set is { a } i }. When any time point is set as t, the parameter corresponding to the time point is set as a i-t If the sum of the differences of the parameters at any time point is S, the sum of the differences of the parameters at any time point and the parameters at all other time points is S t The formula thereof satisfies:
wherein x, t E n, n represents the total number of parameters at different time points, a i-x Values of parameters representing scoliosis numbered i at time x. If the preset difference threshold is set to 5 mm, then when S t When the time is greater than 5 mm, the parameters corresponding to the time point t are abnormal parameters, and deletion is neededRemoving; otherwise, storing the parameters in the normal parameter set. The preset difference threshold is determined according to the total number of parameters, and the specific value is set by a person skilled in the art.
According to the embodiment of the invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment further comprises the following steps:
acquiring the number information of normal parameters in a normal parameter set;
judging whether the number of the normal parameters in the normal parameter set is larger than a preset number threshold; if yes, the number of the normal parameters in the corresponding normal parameter set meets the requirement; otherwise, the method is not satisfactory.
It should be noted that, if the number of normal parameters in the normal parameter set is 10 and the preset number threshold is 15, it is indicated that the number of normal parameters in the normal parameter set is not enough, and the software support is required to continuously acquire the patient parameters; if the number of the normal parameters in the normal parameter set is greater than 15, the normal parameters in the corresponding normal parameter set are indicated to meet the requirements, and the scoliosis position and the scoliosis degree can be calculated.
According to the embodiment of the invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment further comprises the following steps:
carrying out average value calculation on normal parameters in the normal parameter set to obtain an average value of all the normal parameters;
and setting the average value of all the normal parameters as an accurate value for detecting scoliosis, namely the scoliosis position and the scoliosis degree.
It should be noted that, the normal parameters in the normal parameter set are accumulated, and an average value is calculated, if the corresponding average value is an accurate value of the corresponding parameter, for example, if the corresponding parameter is a parameter of a scoliosis position, the average value of the corresponding parameter is set as the accurate position of the scoliosis.
FIG. 2 shows a flow chart of the steps for dynamically adjusting a soft brace based on the location of the scoliosis and the degree of lateral curvature.
As shown in fig. 2, according to the embodiment of the present invention, the step of dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree specifically includes:
s1121, when the scoliosis lateral bending degree is larger than a preset second threshold value, adjusting the scoliosis according to a preset initial adjusting force value;
s1122, when the scoliosis lateral bending degree is smaller than or equal to a preset second threshold value, the initial adjusting force value of the scoliosis is equal to the product of the scoliosis degree and a preset force conversion coefficient;
s1123, obtaining the scoliosis direction according to the scoliosis position and the scoliosis degree;
s1124, the initial adjustment force value of the scoliosis is in the opposite direction of the scoliosis;
s1125, adjusting the soft brace through the position of the scoliosis, the initial adjusting force value of the scoliosis and the direction corresponding to the initial adjusting force value.
It should be noted that, when the lateral curvature degree of the scoliosis is greater than the preset second threshold, the corresponding adjustment force value reaches the maximum value, so as to ensure that the corresponding adjustment force value is within the bearing range of the patient. Setting the initial adjusting force value of the scoliosis to F 0 The formula is satisfied:
wherein a represents a preset initial adjustment force value, b represents a scoliosis lateral bending degree value, b 0 Representing a preset second threshold value, and k represents a preset dynamics transformation coefficient. The direction of the initial adjustment force value of the scoliosis is the opposite direction of the scoliosis, for example, the direction of the scoliosis is leftward, and the direction corresponding to the initial adjustment force value is rightward.
According to an embodiment of the present invention, further comprising:
acquiring feedback information of a patient;
judging whether the initial adjustment force value of the scoliosis belongs to the bearing range of the patient or not based on the feedback information of the patient, if so, continuing to keep; otherwise, the initial adjustment force value is reduced.
It should be noted that, due to differences of body strength, sex, tolerance, and the like of the patient, feedback information of the patient is different, and the patient feedback information is feedback information after the patient applies an initial adjustment force value to the soft brace, for example: and evaluation information corresponding to the initial adjustment force value of the scoliosis. The patient's tolerance range is determined based on patient feedback information, such as: and feedback information such as failure, quick stopping and the like is received. If the initial adjustment force value of the scoliosis exceeds the bearing range of the patient, the preset force value unit is reduced for the initial adjustment force value of the scoliosis, and the preset force value unit is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present invention, further comprising:
acquiring body response information of a patient during treatment;
comparing and analyzing body response information of a patient during treatment with a preset body response information base of the patient during treatment to obtain similarity;
judging whether the similarity is larger than a preset similarity value threshold, if so, carrying out abnormal reaction on body reaction of the patient during treatment; otherwise, the method is normal;
patients responding to abnormalities decrease the initial adjustment effort value.
It should be noted that, because the tolerance of the patient is different, the patient experiences different initial adjustment force values, when the initial adjustment force value of the scoliosis exceeds the physical burden but the patient leans against the ultra-strong tolerance hard resistance, adverse effects are also caused, so that adverse effects such as shivering, cold sweat, excessive heart rate or too low adverse effects of the patient during treatment are obtained through the soft brace, various adverse effects such as a preset similarity value of 75 are stored in the body response information base during treatment of the preset patient, when the body response information of the patient during treatment and the similarity value of the body response information base during treatment of the preset patient are greater than 75, the body response of the patient during treatment is set to have abnormal response, and the initial adjustment force value of the scoliosis is reduced by a preset force value unit, which is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present invention, further comprising:
acquiring body fat rate information of a patient;
determining the body fat rate grade of the patient according to the range of the body fat rate of the patient;
matching the body fat rate grade of the patient with a preset force buffer coefficient to obtain a buffer coefficient corresponding to the scoliosis adjusting force value of the patient;
and adjusting the initial adjusting force value of the scoliosis according to the buffer coefficient of the adjusting force value of the scoliosis.
The higher the body fat rate, the more the body fat is increased, and the greater the buffer the initial adjustment force value of the soft brace plays, for example, the body fat rate is set to be 1 level for a body fat rate of 18% or less, then the level is increased by one level every 3 points, and if the body fat rate of the patient is 22%, the level is 3 level for the body fat rate of the patient. Let the body fat rate level of the patient be m, the buffer coefficient be d, the adjusting force value of the scoliosis of the patient be F, the formula is as follows:
wherein d is m Buffer factor levels representing matching patient body fat rate levels.
Fig. 3 shows a block diagram of a treatment system for juvenile scoliosis disease in accordance with the present invention.
As shown in fig. 3, a second aspect of the present invention provides a treatment system 3 for juvenile scoliosis diseases, including a memory 31 and a processor 32, where the memory stores a treatment method program for juvenile scoliosis diseases, and the treatment method program for juvenile scoliosis diseases is executed by the processor to implement the following steps:
acquiring patient case data information;
obtaining patient body type data information according to the patient case data information;
matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
acquiring parameter information of a patient during treatment based on a soft brace;
obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment;
and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
It should be noted that, the soft brace is numbered in order from small to large, for example: m code, L code, etc.; the patient case data includes body type data information such as height, weight, etc. of the patient, for example: setting the height between 1.70 m and 1.75 m as a range, setting the weight between 65 kg and 70 kg as a range, setting the matched soft support as L code when the height or the weight is in the range, setting the size of the matched soft support as L code when the body form data of the patient is 1.71 m and the weight is 68 kg, acquiring parameter information such as position information of scoliosis of the patient, lateral bending degree information of scoliosis of the patient after the soft support is worn on the patient, determining a scoliosis adjusting force value and direction according to the lateral bending degree of the scoliosis, and dynamically adjusting the soft support according to the position of the scoliosis of the patient so as to achieve the purpose of correcting the scoliosis of the patient.
According to an embodiment of the present invention, before the step of obtaining the parameter information of the patient during treatment, the method further includes:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
It should be noted that, after the patient wears the soft brace, the patient needs to keep the preset action for a period of time to ensure the accuracy of the detection data acquired by the soft brace. The preset actions include: body back straightening, etc., specifically tailored to actual needs by those skilled in the art. If the preset first time is set to 2 minutes, the patient needs to keep the preset action for more than 2 minutes before starting the soft brace to acquire the parameters.
According to an embodiment of the present invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment specifically includes:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
When the scoliosis position and the scoliosis degree of the patient are different, the scoliosis is recorded as different scoliosis, and the different scoliosis is classified and is designated as a i Where i represents the number of scoliosis, the corresponding parameter set is { a } i }. When any time point is set as t, the parameter corresponding to the time point is set as a i-t If the sum of the differences of the parameters at any time point is S, the sum of the differences of the parameters at any time point and the parameters at all other time points is S t The formula thereof satisfies:
wherein x, t E n, n represents the total number of parameters at different time points, a i-x Values of parameters representing scoliosis numbered i at time x. If the preset difference threshold is set to 5 mm, then when S t When the parameters are larger than 5 mm, the parameters corresponding to the time point t are abnormal parameters and need to be deleted; otherwise, storing the parameters in the normal parameter set. The preset difference threshold is determined according to the total number of parameters, and the specific value is set by a person skilled in the art.
According to the embodiment of the invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment further comprises the following steps:
acquiring the number information of normal parameters in a normal parameter set;
judging whether the number of the normal parameters in the normal parameter set is larger than a preset number threshold; if yes, the number of the normal parameters in the corresponding normal parameter set meets the requirement; otherwise, the method is not satisfactory.
It should be noted that, if the number of normal parameters in the normal parameter set is 10 and the preset number threshold is 15, it is indicated that the number of normal parameters in the normal parameter set is not enough, and the software support is required to continuously acquire the patient parameters; if the number of the normal parameters in the normal parameter set is greater than 15, the normal parameters in the corresponding normal parameter set are indicated to meet the requirements, and the scoliosis position and the scoliosis degree can be calculated.
According to the embodiment of the invention, the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment further comprises the following steps:
carrying out average value calculation on normal parameters in the normal parameter set to obtain an average value of all the normal parameters;
and setting the average value of all the normal parameters as an accurate value for detecting scoliosis, namely the scoliosis position and the scoliosis degree.
It should be noted that, the normal parameters in the normal parameter set are accumulated, and an average value is calculated, if the corresponding average value is an accurate value of the corresponding parameter, for example, if the corresponding parameter is a parameter of a scoliosis position, the average value of the corresponding parameter is set as the accurate position of the scoliosis.
According to the embodiment of the invention, the step of dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree specifically comprises the following steps:
when the lateral bending degree of the scoliosis is larger than a preset second threshold value, adjusting the scoliosis according to a preset initial adjusting force value;
when the scoliosis degree is smaller than or equal to a preset second threshold value, the initial adjusting force value of the scoliosis is equal to the product of the scoliosis degree and a preset force conversion coefficient;
obtaining the scoliosis direction according to the scoliosis position and the scoliosis degree;
the initial adjusting force value of the scoliosis is in the opposite direction of the scoliosis;
and adjusting the soft brace through the position of the scoliosis, the initial adjusting force value of the scoliosis and the direction corresponding to the initial adjusting force value.
It should be noted that, when the lateral curvature degree of the scoliosis is greater than the preset second threshold, the corresponding adjustment force value reaches the maximum value, so as to ensure that the corresponding adjustment force value is within the bearing range of the patient. Setting the initial adjusting force value of the scoliosis to F 0 The formula is satisfied:
wherein a represents a preset initial adjustment force value, b represents a scoliosis lateral bending degree value, b 0 Representing a preset second threshold value, and k represents a preset dynamics transformation coefficient. The direction of the initial adjustment force value of the scoliosis is the opposite direction of the scoliosis, for example, the direction of the scoliosis is leftward, and the direction corresponding to the initial adjustment force value is rightward.
According to an embodiment of the present invention, further comprising:
acquiring feedback information of a patient;
judging whether the initial adjustment force value of the scoliosis belongs to the bearing range of the patient or not based on the feedback information of the patient, if so, continuing to keep; otherwise, the initial adjustment force value is reduced.
It should be noted that, due to differences of body strength, sex, tolerance, and the like of the patient, feedback information of the patient is different, and the patient feedback information is feedback information after the patient applies an initial adjustment force value to the soft brace, for example: and evaluation information corresponding to the initial adjustment force value of the scoliosis. The patient's tolerance range is determined based on patient feedback information, such as: and feedback information such as failure, quick stopping and the like is received. If the initial adjustment force value of the scoliosis exceeds the bearing range of the patient, the preset force value unit is reduced for the initial adjustment force value of the scoliosis, and the preset force value unit is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present invention, further comprising:
acquiring body response information of a patient during treatment;
comparing and analyzing body response information of a patient during treatment with a preset body response information base of the patient during treatment to obtain similarity;
judging whether the similarity is larger than a preset similarity value threshold, if so, carrying out abnormal reaction on body reaction of the patient during treatment; otherwise, the method is normal;
patients responding to abnormalities decrease the initial adjustment effort value.
It should be noted that, because the tolerance of the patient is different, the patient experiences different initial adjustment force values, when the initial adjustment force value of the scoliosis exceeds the physical burden but the patient leans against the ultra-strong tolerance hard resistance, adverse effects are also caused, so that adverse effects such as shivering, cold sweat, excessive heart rate or too low adverse effects of the patient during treatment are obtained through the soft brace, various adverse effects such as a preset similarity value of 75 are stored in the body response information base during treatment of the preset patient, when the body response information of the patient during treatment and the similarity value of the body response information base during treatment of the preset patient are greater than 75, the body response of the patient during treatment is set to have abnormal response, and the initial adjustment force value of the scoliosis is reduced by a preset force value unit, which is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present invention, further comprising:
acquiring body fat rate information of a patient;
determining the body fat rate grade of the patient according to the range of the body fat rate of the patient;
matching the body fat rate grade of the patient with a preset force buffer coefficient to obtain a buffer coefficient corresponding to the scoliosis adjusting force value of the patient;
and adjusting the initial adjusting force value of the scoliosis according to the buffer coefficient of the adjusting force value of the scoliosis.
The higher the body fat rate, the more the body fat is increased, and the greater the buffer the initial adjustment force value of the soft brace plays, for example, the body fat rate is set to be 1 level for a body fat rate of 18% or less, then the level is increased by one level every 3 points, and if the body fat rate of the patient is 22%, the level is 3 level for the body fat rate of the patient. Let the body fat rate level of the patient be m, the buffer coefficient be d, the adjusting force value of the scoliosis of the patient be F, the formula is as follows:
wherein d is m Buffer factor levels representing matching patient body fat rate levels.
The third aspect of the present invention provides a computer medium having stored therein a treatment method program for juvenile scoliosis disease, which when executed by a processor, implements the steps of a treatment method for juvenile scoliosis disease as described in any of the above.
The invention discloses a treatment method, a system and a medium for teenager scoliosis diseases, wherein the method comprises the following steps: acquiring patient case data information; obtaining patient body type data information according to the patient case data information; matching corresponding soft support according to the human body data range in which the body type data of the patient fall; acquiring parameter information of a patient during treatment based on a soft brace; obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment; and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree. According to the invention, the real-time posture data of the spine of the patient is acquired through various sensors in the soft support, so that the soft support is dynamically adjusted, and accurate adjustment force values are applied to the position of the scoliosis through the soft support, so that the scoliosis is gradually recovered.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A method of treatment for juvenile scoliosis disease comprising:
acquiring patient case data information;
obtaining patient body type data information according to the patient case data information;
matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
acquiring parameter information of a patient during treatment based on a soft brace;
obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment;
and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
2. The method of claim 1, wherein the step of obtaining the parameter information of the patient at the time of treatment further comprises:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
3. The method for treating a juvenile scoliosis according to claim 1, wherein the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment specifically comprises the following steps:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
4. A method of treatment for juvenile scoliosis according to claim 3, wherein the step of obtaining the position of the scoliosis and the degree of scoliosis according to the parameters of the patient at the time of treatment further comprises:
acquiring the number information of normal parameters in a normal parameter set;
judging whether the number of the normal parameters in the normal parameter set is larger than a preset number threshold; if yes, the number of the normal parameters in the corresponding normal parameter set meets the requirement; otherwise, the method is not satisfactory.
5. A method of treatment for juvenile scoliosis according to claim 3, wherein the step of obtaining the position of the scoliosis and the degree of scoliosis according to the parameters of the patient at the time of treatment further comprises:
carrying out average value calculation on normal parameters in the normal parameter set to obtain an average value of all the normal parameters;
and setting the average value of all the normal parameters as an accurate value for detecting scoliosis, namely the scoliosis position and the scoliosis degree.
6. The method for treating a scoliosis disease of teenagers according to claim 1, wherein the step of dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree specifically comprises the following steps:
when the lateral bending degree of the scoliosis is larger than a preset second threshold value, adjusting the scoliosis according to a preset initial adjusting force value;
when the scoliosis degree is smaller than or equal to a preset second threshold value, the initial adjusting force value of the scoliosis is equal to the product of the scoliosis degree and a preset force conversion coefficient;
obtaining the scoliosis direction according to the scoliosis position and the scoliosis degree;
the initial adjusting force value of the scoliosis is in the opposite direction of the scoliosis;
and adjusting the soft brace through the position of the scoliosis, the initial adjusting force value of the scoliosis and the direction corresponding to the initial adjusting force value.
7. A treatment system for juvenile scoliosis disease comprising a memory and a processor, wherein the memory stores a treatment method program for juvenile scoliosis disease, and the treatment method program for juvenile scoliosis disease is executed by the processor to implement the following steps:
acquiring patient case data information;
obtaining patient body type data information according to the patient case data information;
matching corresponding soft support according to the human body data range in which the body type data of the patient fall;
acquiring parameter information of a patient during treatment based on a soft brace;
obtaining the position of scoliosis and the scoliosis degree according to the parameters of the patient during treatment;
and dynamically adjusting the soft brace according to the scoliosis position and the scoliosis degree.
8. The treatment system for juvenile scoliosis according to claim 7, further comprising, prior to the obtaining of the patient's at-treatment parameter information:
acquiring time information of a patient for keeping a preset action;
judging whether the time for keeping the preset action of the patient is longer than the preset first time, if so, allowing the software support to be started; otherwise not allowed.
9. The treatment system for juvenile scoliosis according to claim 7, wherein the step of obtaining the scoliosis position and the scoliosis degree according to the parameters of the patient during treatment specifically comprises:
grouping parameters of a patient during treatment according to different parameter types to obtain different parameter sets;
grouping the same parameters according to different time points to obtain parameter sets of different time points;
carrying out difference calculation on the parameters of any time point and the parameters of all other time points to obtain a difference set of the parameters of any time point;
accumulating and summing the difference value sets of the parameters at any time point to obtain the difference value sum of the parameters at any time point;
judging whether the difference sum of the parameters at any time point is larger than a preset difference threshold value, if so, setting the parameters at the corresponding time point as abnormal parameters; otherwise, setting the parameter as a normal parameter;
deleting the abnormal parameters, and storing the normal parameters into a normal parameter set.
10. A computer medium, wherein a treatment method program for juvenile scoliosis diseases is stored in the computer medium, and when the treatment method program for juvenile scoliosis diseases is executed by a processor, the steps of a treatment method for juvenile scoliosis diseases are realized as claimed in any one of claims 1 to 6.
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