CN114203275B - Recovery state analysis system for rehabilitation training movement - Google Patents
Recovery state analysis system for rehabilitation training movement Download PDFInfo
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Abstract
The invention discloses a recovery state analysis system for rehabilitation training movement, which belongs to the field of medical rehabilitation and is used for solving the problem that the recovery state analysis of a rehabilitation training person has deviation due to the fact that the actual rehabilitation training condition is not combined with a rehabilitation training result.
Description
Technical Field
The invention belongs to the field of medical rehabilitation, relates to a recovery state analysis technology, and particularly relates to a recovery state analysis system for rehabilitation training exercises.
Background
Rehabilitation refers to physical activity after injury that is beneficial to recovery or improvement of function. General injuries do not need to stop physical exercises completely except for severe injuries requiring rest treatment, and proper and scientific physical exercises have a positive effect on rapid healing of injuries and promotion of functional recovery;
in the prior art, the recovery state analysis of the rehabilitation training movement is not comprehensive enough and has limitations, the actual rehabilitation training condition of the rehabilitation training personnel is not combined with the rehabilitation training result, and the recovery state analysis of the rehabilitation training personnel has deviation;
to this end, we propose a recovery state analysis system for rehabilitation training exercises.
Disclosure of Invention
The invention aims to provide a recovery state analysis system for rehabilitation training movement, which analyzes a recovery training state of a rehabilitation training person through a recovery analysis module, obtains a recovery training value of the rehabilitation training person according to the real-time training times, the real-time activity average force, the real-time activity average distance, the total recovery training time and the real-time motion maintaining average time of the rehabilitation training person, records the recovery training of the rehabilitation training person through a recovery recording module to obtain the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training person, sends the recovery training value, the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training person to a state grading module, grades the recovery state of the rehabilitation training person through the state grading module, compares the state recovery value of the rehabilitation training person in the recovery training process with a state recovery threshold value, and generates a recovery state unqualified signal, a recovery state qualified signal or a recovery state excellent signal.
The purpose of the invention can be realized by the following technical scheme:
a recovery state analysis system for rehabilitation training movement comprises a data acquisition module, a rehabilitation analysis module, a state grading module, a rehabilitation recording module, a training matching module, a database module, a medical care terminal and a server, wherein the medical care terminal is used for medical care personnel to send patient information of the rehabilitation training personnel to the server; the data acquisition module is used for acquiring initial state information of rehabilitation training personnel and sending the initial state information to the server, the server is used for sending patient information and the initial state information to the training matching module, the training matching module is connected with the database module, a plurality of groups of rehabilitation training plans of the rehabilitation training personnel are stored in the database module, the training matching module is used for matching the corresponding rehabilitation training plans for the rehabilitation training personnel, the corresponding rehabilitation training plans are obtained according to the patient information of the rehabilitation training personnel and fed back to the server, the server is used for sending the rehabilitation training plans to the medical care terminal, and the medical care personnel carry out rehabilitation training on the rehabilitation training personnel according to the rehabilitation training plans;
in the rehabilitation training process, the data acquisition module is also used for acquiring real-time training data of a rehabilitation training person in real time, adding a timestamp to the real-time training data and then sending the real-time training data to the server, and the server sends the timestamp-added real-time training data to the rehabilitation analysis module and the rehabilitation recording module; the rehabilitation analysis module is used for analyzing the rehabilitation training state of the rehabilitation training personnel to obtain a rehabilitation training unqualified signal or a rehabilitation training value KXu which is fed back to the server, the server generates a medical care viewing signal to be sent to the medical care terminal when receiving the rehabilitation training unqualified signal, and the server sends the medical care viewing signal to the state grading module when receiving the rehabilitation training value;
the rehabilitation recording module is used for recording rehabilitation training of rehabilitation training personnel, so that Kang Xun effective rate KYLu and Kang Xun lifting rate KTLu are obtained and fed back to the server, the server sends rehabilitation training values KXu, kang Xun effective rate and Kang Xun lifting rate to the state grading module, the state grading module is used for grading the recovery state of the rehabilitation training personnel, generates a recovery state unqualified signal, a recovery state qualified signal or a recovery state excellent signal and feeds back the recovery state unqualified signal, the recovery state qualified signal or the recovery state excellent signal to the server, and the server sends the recovery state unqualified signal, the recovery state qualified signal or the recovery state excellent signal to corresponding medical care terminals.
Further, the patient information includes the name, sex, age and rehabilitation training part of the rehabilitation training person;
the initial state information is the initial movement range, the initial movement direction, the initial movement distance, the initial movement strength, the initial movement time, the initial rehabilitation times and the initial movement holding duration of the rehabilitation training part of the rehabilitation training personnel;
the real-time training data comprises a real-time activity range, a real-time activity direction, a real-time activity distance, a real-time activity strength, a real-time motion time, a real-time training frequency and a real-time motion holding duration;
the rehabilitation training plan comprises a rehabilitation activity range, a rehabilitation activity direction, a rehabilitation activity distance, a rehabilitation activity strength, a rehabilitation motion time, a rehabilitation motion keeping time and rehabilitation training times.
Further, the analysis process of the rehabilitation analysis module is specifically as follows:
the method comprises the following steps: labeling the rehabilitation trainee as u, u =1,2, … …, z, z being a positive integer; acquiring the real-time training times of a rehabilitation training person, and marking the real-time training times as KCSu;
step two: acquiring a rehabilitation training plan of a rehabilitation training person to obtain the times of rehabilitation training, entering the next step if the real-time training times are more than or equal to the times of rehabilitation training, and otherwise generating an unqualified rehabilitation training signal;
step three: acquiring real-time activity intensity KLDu of a rehabilitation training person during each rehabilitation training, and adding and averaging the real-time activity intensities of the rehabilitation training persons to obtain real-time activity average intensity JKLDu of the rehabilitation training person in the current rehabilitation training process;
step four: acquiring the real-time movement distance KJLU of the rehabilitation training personnel during each rehabilitation training, adding the real-time movement distances of the rehabilitation training personnel during each rehabilitation training, summing and averaging to obtain the real-time movement average distance JKJLU of the rehabilitation training personnel during the current rehabilitation training process;
step five: counting the total rehabilitation training time length of the rehabilitation training personnel after receiving the rehabilitation training plan, and marking the total rehabilitation training time length as KTCu; acquiring real-time motion holding time KBTCu of a rehabilitation training person during each rehabilitation training, adding the real-time motion holding time during each rehabilitation training, and taking an average value to obtain real-time motion holding average time JKBTCu;
step six: by the formula
Calculated to obtain rehabilitation trainersA rehabilitation training value KXu; in the formula, a1, a2, a3 and a4 are all proportionality coefficients with fixed numerical values, and the values of a1, a2, a3 and a4 are all larger than zero.
Further, the recording process of the rehabilitation recording module specifically comprises:
step S1: obtaining real-time activity force KLDui, real-time activity distance KJloui and real-time motion holding duration KBTCui in the real-time training data according to the time stamp, wherein i =1,2 and … …, x and x are positive integers, and i represents the number of times of rehabilitation training;
step S2: traversing and comparing the rehabilitation activity dynamics to the real-time activity dynamics KLDui during each rehabilitation training to obtain the times that the real-time activity dynamics is more than or equal to the rehabilitation activity dynamics and recording the times as dynamics effective times LDYCu;
similarly, the rehabilitation activity distance is traversed and compared with the real-time activity distance KJloui in each rehabilitation training, the times that the real-time activity distance is larger than or equal to the rehabilitation activity distance are obtained and recorded as the distance effective times JLYCu;
traversing and comparing the rehabilitation exercise holding time length KBTCui during each rehabilitation training to obtain the times that the real-time exercise holding time length is more than or equal to the rehabilitation exercise holding time length and recording the times as the effective times BTCYCu of the holding time length;
and step S3: the force effective times LDYCu, the distance effective times JYCu and the keeping duration effective times BTCYCu are sequentially compared with the real-time training times KCSu to obtain the force effective rate LDYLU, the distance effective rate JLYLu and the keeping duration effective rate BTCYLu of the rehabilitation trainee;
and step S4: calculating by a formula KYLu = LDYLLu × b1+ JLYLu × b2+ BTCYLu × b3 to obtain Kang Xun effective rate KYLu of the rehabilitation training personnel; in the formula, b1, b2 and b3 are all weight coefficients with fixed numerical values, and the values of b1, b2 and b3 are all larger than zero;
step S5: traversing the real-time activity degree KLDui, the real-time activity distance KJloui and the real-time movement keeping time KBTCui during each rehabilitation training, recording the rehabilitation training when the rehabilitation training personnel firstly reach the rehabilitation activity degree, the rehabilitation activity distance or the rehabilitation movement keeping time as standard rehabilitation training, and recording the standard rehabilitation training time T KLDu 、T KJLu 、T KBTCu And the number of times of real-time training C for reaching the standard for rehabilitation training KLDu 、C KJLu 、C KBTCu ；
Step S6: acquiring the starting time TKu of the rehabilitation training personnel corresponding to the rehabilitation training plan, and calculating the Kang Xun lifting rate KTLu of the rehabilitation training personnel by combining a formula, wherein the formula is as follows:
Further, the state grading module is used for grading the recovery state of the rehabilitation training personnel, and the working process specifically comprises the following steps:
step SS1: acquiring the calculated rehabilitation training values KXu and Kang Xun of rehabilitation trainees, wherein the effective rates KYLu and the lifting rates KTLu of Kang Xun are obtained;
step SS2: by the formula ZHu = KXu KYLu+KTLu Calculating to obtain a state recovery value ZHu of the rehabilitation training personnel in the rehabilitation training process;
and step SS3: acquiring state recovery threshold values X1 and X2 prestored in a server, wherein X1 is smaller than X2, and comparing a state recovery value ZHu of a rehabilitation training person in the rehabilitation training process with the state recovery threshold values;
and step SS4: if ZHu is less than X1, generating a recovery state unqualified signal;
if X1 is not less than ZHu is less than X2, generating a recovery state qualified signal;
if X2 is less than or equal to ZHu, a signal with good recovery state is generated.
Further, the real-time activity force KLDu1, the real-time activity distance KJLu1 and the real-time motion holding time kbcu 1 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the first time, and the real-time activity force KLDu2, the real-time activity distance KJLu2 and the real-time motion holding time kbcu 2 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the second time, so that the rest can be done.
Further, real-time training data of a rehabilitation trainer during first rehabilitation training are real-time activity dynamics KLDu1, real-time activity distance KJLU1 and real-time motion keeping duration KBTCu1;
the real-time training data of the rehabilitation training personnel during the second rehabilitation training are real-time activity dynamics KLDu2, real-time activity distance KJLU2 and real-time motion keeping duration KBTCu2;
the real-time training data of the rehabilitation training personnel for the third time of rehabilitation training are real-time activity intensity KLDu3, real-time activity distance KJLU3 and real-time motion keeping duration KBTCu3.
Further, if the real-time activity intensity KLDu1 is greater than or equal to the rehabilitation activity intensity, the first rehabilitation training is standard rehabilitation training of the rehabilitation activity intensity;
if the real-time activity distance KJLU2 is greater than or equal to the rehabilitation activity strength, the second rehabilitation training is standard rehabilitation training of the rehabilitation activity distance;
and if the real-time exercise keeping time KBTCu3 is more than or equal to the rehabilitation activity strength, the third rehabilitation training is the standard rehabilitation training of the rehabilitation exercise keeping time.
Compared with the prior art, the invention has the beneficial effects that:
the rehabilitation training state of the rehabilitation training personnel is analyzed through the rehabilitation analysis module, the rehabilitation training value of the rehabilitation training personnel is obtained according to the real-time training times, the real-time activity average force, the real-time activity average distance, the total rehabilitation training time length and the real-time motion maintaining average time length of the rehabilitation training personnel, the rehabilitation training of the rehabilitation training personnel is recorded through the rehabilitation recording module, the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training personnel are obtained, the rehabilitation training value, the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training personnel are sent to the state grading module, and after the state recovery value of the rehabilitation training personnel is graded through the state grading module in the rehabilitation training process and compared with a state recovery threshold, a rehabilitation state unqualified signal, a rehabilitation state qualified signal or a rehabilitation state excellent signal are generated.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a block diagram of another system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a recovery state analysis system for rehabilitation training exercise includes a data acquisition module, a rehabilitation analysis module, a state grading module, a rehabilitation recording module, a training matching module, a database module, a medical care terminal and a server;
the server is wirelessly connected with a plurality of medical care terminals, and the medical care terminals are used for inputting and uploading patient information of rehabilitation training personnel after the medical care personnel register and log in, and sending the patient information to the server;
the data acquisition module is used for acquiring initial state information of the rehabilitation training personnel and sending the initial state information to the server;
it should be specifically noted that the patient information includes the name, sex, age, rehabilitation training part, etc. of the rehabilitation training person, and in the specific implementation, the rehabilitation training part may be a finger joint, a shoulder joint, an elbow joint, a hip joint, a wrist joint, a knee joint, an ankle joint, etc. of the rehabilitation training person; the initial state information comprises an initial movement range, an initial movement direction, an initial movement distance, initial movement strength, initial movement time, initial rehabilitation times, initial movement holding duration and the like of a rehabilitation training part of a rehabilitation trainer;
in specific implementation, the data acquisition module is an acquisition component attached to a rehabilitation training part of a rehabilitation training person, and is used for actually acquiring the initial movement range, the initial movement direction, the initial movement distance, the initial movement strength, the initial movement time, the initial movement holding duration and the like of the rehabilitation training part of the rehabilitation training person, wherein the acquisition component comprises a pressure sensor, a timer, a time counter, a three-dimensional accelerometer, a three-dimensional gyroscope, a three-dimensional magnetometer and the like;
the server sends the patient information and the initial state information to a training matching module, the training matching module is connected with a database module, the database module stores rehabilitation training plans of a plurality of groups of rehabilitation training personnel, the training matching module is used for matching the corresponding rehabilitation training plans for the rehabilitation training personnel, and the corresponding rehabilitation training plans are obtained according to the patient information of the rehabilitation training personnel and comprise rehabilitation activity ranges, rehabilitation activity directions, rehabilitation activity distances, rehabilitation activity dynamics, rehabilitation motion time, rehabilitation motion holding duration, rehabilitation training times and the like;
the training matching module feeds back a rehabilitation training plan of the rehabilitation training personnel to the server, the server sends the rehabilitation training plan to the medical care terminal, and the medical care personnel perform rehabilitation training on the rehabilitation training personnel according to the rehabilitation training plan;
in the rehabilitation training process, the data acquisition module is also used for acquiring real-time training data of a rehabilitation training person in real time, adding a timestamp to the real-time training data and then sending the real-time training data to the server, and the server sends the timestamp-added real-time training data to the rehabilitation analysis module and the rehabilitation recording module;
the real-time training data comprises a real-time activity range, a real-time activity direction, a real-time activity distance, a real-time activity strength, a real-time motion time, a real-time training frequency, a real-time motion holding duration and the like;
the rehabilitation analysis module is used for analyzing the rehabilitation training state of the rehabilitation training personnel, and the analysis process is as follows:
the method comprises the following steps: labeling the rehabilitation trainee as u, u =1,2, … …, z, z being a positive integer; acquiring the real-time training times of a rehabilitation training person, and marking the real-time training times as KCSu;
step two: acquiring a rehabilitation training plan of a rehabilitation training person to obtain the times of rehabilitation training, entering the next step if the real-time training times are more than or equal to the times of rehabilitation training, and otherwise generating an unqualified rehabilitation training signal;
step three: acquiring real-time activity intensity KLDu of a rehabilitation training person during each rehabilitation training, and adding and averaging the real-time activity intensities of the rehabilitation training persons to obtain real-time activity average intensity JKLDu of the rehabilitation training person in the current rehabilitation training process;
step four: acquiring real-time activity distance JLu of the rehabilitation training personnel during each rehabilitation training, adding and summing the real-time activity distances of the rehabilitation training personnel during each rehabilitation training, and taking an average value to obtain real-time activity average distance JKJLu of the rehabilitation training personnel during the current rehabilitation training process;
for example: when the elbow joint is rehabilitated and trained, a rehabilitation trainer holds the fist, places the forearm and the elbow joint on a rehabilitation training table, then the forearm moves upwards to train to be far away from the rehabilitation training table, at the moment, the moving distance between the initial position of the fist and the current position of the fist is calculated, the real-time moving distance of the upward moving training of the forearm at each time is recorded, and the real-time moving average distance can be obtained by adding, summing and averaging;
step five: counting the total rehabilitation training time length of the rehabilitation training personnel after receiving the rehabilitation training plan, and marking the total rehabilitation training time length as KTCu; acquiring real-time motion holding duration KBTCu of a rehabilitation trainer during each rehabilitation training, adding the real-time motion holding durations during each rehabilitation training, and taking an average value to obtain real-time motion holding average duration JKBTCu;
step six: by the formula
Calculating to obtain a rehabilitation training value KXu of the rehabilitation training personnel; in the formula, a1, a2, a3 and a4 are proportionality coefficients with fixed numerical values, and the values of a1, a2, a3 and a4 are all larger than zero;
the rehabilitation analysis module feeds back an unqualified rehabilitation training signal or a rehabilitation training value KXu of a rehabilitation training person to the server, if the server receives the unqualified rehabilitation training signal, the server generates a medical care checking signal and sends the medical care checking signal to a corresponding medical care terminal, and if the server receives a rehabilitation training value KXu of the rehabilitation training person, the rehabilitation training value KXu of the rehabilitation training person is sent to the state grading module;
simultaneously, the rehabilitation recording module is used for recording the rehabilitation training of the rehabilitation training personnel, and the recording process specifically comprises:
step S1: obtaining real-time activity force KLDui, real-time activity distance KJloui and real-time motion holding duration KBTCui in the real-time training data according to the time stamp, wherein i =1,2 and … …, x and x are positive integers, and i represents the number of times of rehabilitation training;
specifically, the real-time activity level KLDu1, the real-time activity distance KJLu1 and the real-time motion holding duration kbcu 1 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the first time, and the real-time activity level KLDu2, the real-time activity distance KJLu2 and the real-time motion holding duration kbcu 2 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the second time, and so on;
step S2: traversing and comparing the rehabilitation activity dynamics to the real-time activity dynamics KLDui during each rehabilitation training to obtain the times that the real-time activity dynamics is more than or equal to the rehabilitation activity dynamics and recording the times as dynamics effective times LDYCu;
similarly, the rehabilitation activity distance is traversed and compared with the real-time activity distance KJloui in each rehabilitation training, the times that the real-time activity distance is larger than or equal to the rehabilitation activity distance are obtained and recorded as the distance effective times JLYCu;
traversing and comparing the rehabilitation exercise holding time length KBTCui during each rehabilitation training to obtain the times that the real-time exercise holding time length is more than or equal to the rehabilitation exercise holding time length and recording the times as the effective times BTCYCu of the holding time length;
and step S3: the force effective times LDYCu, the distance effective times JLYCU and the holding duration effective times BTCYCu are sequentially compared with the real-time training times KCSu to obtain the force effective rate LDYLu, the distance effective rate JLYLu and the holding duration effective rate BTCYLu of the rehabilitation training personnel;
and step S4: calculating by a formula KYLu = LDYLLu × b1+ JLYLu × b2+ BTCYLu × b3 to obtain Kang Xun effective rate KYLu of the rehabilitation training personnel (the effective rate of rehabilitation training is abbreviated as the effective rate of rehabilitation training, and the effective rate of rehabilitation training is replaced by the effective rate of rehabilitation training in the follow-up process); in the formula, b1, b2 and b3 are all weight coefficients with fixed numerical values, and the values of b1, b2 and b3 are all larger than zero;
step S5: traversing the real-time activity degree KLDui, the real-time activity distance KJloui and the real-time movement keeping time KBTCui during each rehabilitation training, recording the rehabilitation training when the rehabilitation training personnel firstly reach the rehabilitation activity degree, the rehabilitation activity distance or the rehabilitation movement keeping time as standard rehabilitation training, and recording the standard rehabilitation training time T KLDu 、T KJLu 、T KBTCu And the number of times of real-time training C for reaching the standard for rehabilitation training KLDu 、C KJLu 、C KBTCu ；
For example: real-time training data of a rehabilitation training person during first rehabilitation training are real-time activity force KLDu1, real-time activity distance KJLU1 and real-time motion keeping duration KBTCu1, real-time training data of the rehabilitation training person during second rehabilitation training are real-time activity force KLDu2, real-time activity distance KJLU2 and real-time motion keeping duration KBTCu2, and real-time training data of the rehabilitation training person during third rehabilitation training are real-time activity force KLDu3, real-time activity distance KJLU3 and real-time motion keeping duration KBTCu3;
if the real-time activity force KLDu1 is greater than or equal to the rehabilitation activity force, the first rehabilitation training is standard rehabilitation training of the rehabilitation activity force;
if the real-time activity distance KJLU2 is greater than or equal to the rehabilitation activity strength, the second rehabilitation training is standard rehabilitation training of the rehabilitation activity distance;
if the real-time exercise holding duration KBTCu3 is more than or equal to the rehabilitation activity strength, the third rehabilitation training is standard rehabilitation training of the rehabilitation exercise holding duration;
step S6: the method comprises the steps of obtaining a starting time TKu of a rehabilitation training plan corresponding to a rehabilitation training person, and calculating by combining a formula to obtain a Kang Xun lifting rate KTLu of the rehabilitation training person (the lifting rate of the rehabilitation training is shortened, and the lifting rate of Kang Xun is adopted to replace the lifting rate of the rehabilitation training in the following steps), wherein the formula is as follows:
the rehabilitation recording module feeds back Kang Xun effective rate KYLu and Kang Xun lifting rate KTLu of the retraining personnel to the server;
the server sends rehabilitation training values KXu and Kang Xun effective rates KYLu and Kang Xun lifting rates KTLu of rehabilitation training personnel to the state grading module, the state grading module is used for grading the recovery state of the rehabilitation training personnel, and the working process is as follows:
step SS1: acquiring the calculated rehabilitation training values KXu and Kang Xun of the rehabilitation trainees, wherein the effective rates KYLu and Kang Xun lifting rates KTLu are obtained;
step SS2: by the formula ZHu = KXu KYLu+KTLu Calculating to obtain a state recovery value ZHu of the rehabilitation training personnel in the rehabilitation training process;
and step SS3: acquiring state recovery threshold values X1 and X2 prestored in a server, wherein X1 is less than X2, and comparing a state recovery value ZHu of a rehabilitation training person in a rehabilitation training process with the state recovery threshold values;
and step SS4: if ZHu is less than X1, generating a recovery state unqualified signal;
if X1 is not less than ZHu is less than X2, generating a recovery state qualified signal;
if X2 is less than or equal to ZHu, a good recovery state signal is generated;
the state grading module feeds back the unqualified rehabilitation state signal, the qualified rehabilitation state signal or the excellent rehabilitation state signal to the server, and the server sends the unqualified rehabilitation state signal, the qualified rehabilitation state signal or the excellent rehabilitation state signal to the corresponding medical care terminal;
as shown in fig. 2, the system further includes a rehabilitation adjustment module, the server generates a rehabilitation adjustment signal and sends the signal to the rehabilitation adjustment module when receiving the unqualified signal of the rehabilitation state, the rehabilitation adjustment module is used for adjusting the current rehabilitation training of the rehabilitation training personnel after receiving the rehabilitation adjustment signal, and the adjustment process is specifically as follows:
adjusting the rehabilitation training plan of the rehabilitation training personnel, adjusting the rehabilitation training amount of the rehabilitation training personnel, adjusting the interval period of the rehabilitation training in the rehabilitation training plan of the rehabilitation training personnel and the like.
A recovery state analysis system for rehabilitation training movement, during operation, medical staff register and log in through a medical care terminal and input and upload patient information of the rehabilitation training staff, the patient information is sent to a server, a data acquisition module acquires initial state information of the rehabilitation training staff and sends the initial state information to the server, the server sends the patient information and the initial state information to a training matching module, the training matching module is connected with a database module, a plurality of groups of rehabilitation training plans of the rehabilitation training staff are stored in the database module, the training matching module matches the corresponding rehabilitation training plans for the rehabilitation training staff, the corresponding rehabilitation training plans are obtained according to the patient information of the rehabilitation training staff, the training matching module feeds back the rehabilitation training plans of the rehabilitation training staff to the server, the server sends the rehabilitation training plans to the medical care terminal, and the medical staff carry out rehabilitation training on the rehabilitation training staff according to the rehabilitation training plans;
in the rehabilitation training process, real-time training data of a rehabilitation training person are collected in real time through a data collection module, the real-time training data are sent to a server after being subjected to timestamp adding, and the server sends the real-time training data subjected to timestamp adding to a rehabilitation analysis module and a rehabilitation recording module;
analyzing the rehabilitation training state of the rehabilitation training personnel through a rehabilitation analysis module, acquiring the real-time training times KCSu of the rehabilitation training personnel, obtaining the rehabilitation training times according to the rehabilitation training plan of the rehabilitation training personnel, if the real-time training times is less than the rehabilitation training times, generating a unqualified rehabilitation training signal, if the real-time training times is more than or equal to the rehabilitation training times, acquiring the real-time activity average force JKLDu, the real-time activity average distance JKJLu, the total rehabilitation training time KTCu and the real-time motion maintenance average time of the rehabilitation training personnel in the current rehabilitation training processLong JKBTCu, by formula
The rehabilitation training value KXu of the rehabilitation training personnel is obtained through calculation, the rehabilitation analysis module feeds back an unqualified rehabilitation training signal or the rehabilitation training value KXu of the rehabilitation training personnel to the server, if the server receives the unqualified rehabilitation training signal, the server generates a medical care viewing signal and sends the medical care viewing signal to a corresponding medical care terminal, and if the server receives the rehabilitation training value KXu of the rehabilitation training personnel, the rehabilitation training value KXu of the rehabilitation training personnel is sent to the state grading module;
meanwhile, the rehabilitation training of the rehabilitation trainees is recorded by a rehabilitation recording module, the real-time activity force KLDui, the real-time activity distance KJUi and the real-time motion maintaining duration KBTCui in the real-time training data are obtained according to the timestamp, the real-time activity force KLDui during each rehabilitation training is traversed and compared by the rehabilitation activity force, the times that the real-time activity force is larger than or equal to the rehabilitation activity force are obtained and recorded as force effective times LDYCu, similarly, the real-time activity distance is traversed and compared by the real-time activity distance KJUi during each rehabilitation training, the times that the real-time activity distance is larger than or equal to the rehabilitation activity distance is obtained and recorded as distance effective times JYCu, and the real-time motion maintaining duration KBTCui during each rehabilitation training is traversed and compared by the rehabilitation motion maintaining duration KBTCui, obtaining the times of the real-time exercise keeping duration being more than or equal to the rehabilitation exercise keeping duration and recording the times as keeping duration effective times BTCYCu, sequentially comparing the force effective times LDYCu, the distance effective times JYCu and the keeping duration effective times BTCYCu with the real-time training times KCSu to obtain force effective rate LDYLu, distance effective rate JLYLu and keeping duration effective rate BTCYLu of the rehabilitation training personnel, calculating Kang Xun effective rate KYLu of the rehabilitation training personnel through a formula KYLu = LDYLu multiplied by b1+ JLYLu multiplied by b2+ BTCYLu multiplied by b3, traversing the real-time activity force KLDui, the real-time activity distance KJLUi and the real-time exercise keeping duration KBTCui during each rehabilitation training, recording the rehabilitation training of the rehabilitation training personnel for reaching the rehabilitation activity force, the rehabilitation activity distance or the rehabilitation exercise keeping duration up to the standard for the first time as the rehabilitation training, and recording the rehabilitation training time T KLDu 、T KJLu 、T KBTCu And the number of times of real-time training C for reaching the standard for rehabilitation training KLDu 、C KJLu 、C KBTCu Simultaneously, the starting time TKu of the rehabilitation training personnel corresponding to the rehabilitation training plan is taken and combined with the formula
The method comprises the steps that Kang Xun lifting rate KTLu of a rehabilitation training person is obtained through calculation, a rehabilitation recording module feeds back Kang Xun effective rate KYLu and Kang Xun lifting rate KTLu of the rehabilitation training person to a server, and the server sends rehabilitation training values KXu, kang Xun effective rate KYLu and Kang Xun lifting rate KTLu of the rehabilitation training person to a state grading module;
the recovery state of the rehabilitation training personnel is graded by a state grading module through a formula ZHu = KXu KYLu +KTLu Calculating to obtain a state recovery value ZHu of a rehabilitation trainer in the rehabilitation training process, then obtaining a state recovery threshold value X1 and a state recovery threshold value X2 prestored in a server, comparing a state recovery value ZHu of the rehabilitation trainer in the rehabilitation training process with the state recovery threshold value, generating a rehabilitation state unqualified signal if ZHu is less than X1, generating a rehabilitation state qualified signal if X1 is less than or equal to ZHu and less than X2, generating a rehabilitation state excellent signal if X2 is less than or equal to ZHu, feeding the rehabilitation state unqualified signal, the rehabilitation state qualified signal or the rehabilitation state excellent signal back to the server by a state grading module, and sending the rehabilitation state unqualified signal, the rehabilitation state qualified signal or the rehabilitation state excellent signal to a corresponding medical care terminal by the server;
the system further comprises a rehabilitation adjusting module, the server generates a rehabilitation adjusting signal and sends the rehabilitation adjusting signal to the rehabilitation adjusting module when receiving the unqualified rehabilitation state signal, and the current rehabilitation training of the rehabilitation training personnel is adjusted through the rehabilitation adjusting module.
The formulas are all calculated by removing dimensions and taking numerical values, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation; such as the formula: KYLu = LDYLu × b1+ JLYLu × b2+ BTCYLu × b3, the technical personnel in the field acquire the force efficiency LDYLu, the distance efficiency JLYLu and the holding duration efficiency BTCYLu of the rehabilitation training personnel, set corresponding weight coefficients for the force efficiency LDYLu, the distance efficiency JLYLu and the holding duration efficiency BTCYLu of the rehabilitation training personnel, and substitute the set weight coefficients and the acquired data into a formula to calculate the effective rate Kang Xun KYLu of the rehabilitation training personnel, wherein the weight coefficients are specific values obtained by quantizing each parameter, so that subsequent comparison is facilitated, and the weight coefficients can be calculated as long as the proportional relation between the parameter and the quantized values is not influenced.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (1)
1. A recovery state analysis system for rehabilitation training movement is characterized by comprising a data acquisition module, a rehabilitation analysis module, a state grading module, a rehabilitation recording module, a training matching module, a database module, a medical care terminal and a server, wherein the medical care terminal is used for medical care personnel to send patient information of the rehabilitation training personnel to the server; the data acquisition module is used for acquiring initial state information of rehabilitation training personnel and sending the initial state information to the server, the server is used for sending patient information and the initial state information to the training matching module, the training matching module is connected with the database module, a plurality of groups of rehabilitation training plans of the rehabilitation training personnel are stored in the database module, the training matching module is used for matching the corresponding rehabilitation training plans for the rehabilitation training personnel, the corresponding rehabilitation training plans are obtained according to the patient information of the rehabilitation training personnel and fed back to the server, the server is used for sending the rehabilitation training plans to the medical care terminal, and the medical care personnel carry out rehabilitation training on the rehabilitation training personnel according to the rehabilitation training plans;
in the rehabilitation training process, the data acquisition module is also used for acquiring real-time training data of a rehabilitation training person in real time, adding a timestamp to the real-time training data and then sending the real-time training data to the server, and the server sends the timestamp-added real-time training data to the rehabilitation analysis module and the rehabilitation recording module; the rehabilitation analysis module is used for analyzing the rehabilitation training state of the rehabilitation training personnel to obtain a rehabilitation training unqualified signal or a rehabilitation training value KXu which is fed back to the server, the server generates a medical care viewing signal to be sent to the medical care terminal when receiving the rehabilitation training unqualified signal, and the server sends the medical care viewing signal to the state grading module when receiving the rehabilitation training value;
the rehabilitation recording module is used for recording rehabilitation training of rehabilitation training personnel to obtain Kang Xun effective rate KYLu and Kang Xun lifting rate KTLu and feeding back the obtained results to the server, the server sends rehabilitation training values KXu, kang Xun effective rate and Kang Xun lifting rate to the state grading module, the state grading module is used for grading the recovery state of the rehabilitation training personnel to generate a recovery state unqualified signal, a recovery state qualified signal or a recovery state excellent signal and feeding back the signals to the server, and the server sends the recovery state unqualified signal, the recovery state qualified signal or the recovery state excellent signal to corresponding medical care terminals;
the patient information comprises the name, the sex, the age and the rehabilitation training part of the rehabilitation training personnel;
the initial state information is the initial movement range, the initial movement direction, the initial movement distance, the initial movement strength, the initial movement time, the initial rehabilitation times and the initial movement holding duration of the rehabilitation training part of the rehabilitation training personnel;
the real-time training data comprises a real-time activity range, a real-time activity direction, a real-time activity distance, a real-time activity strength, a real-time motion time, a real-time training frequency and a real-time motion holding duration;
the rehabilitation training plan comprises a rehabilitation activity range, a rehabilitation activity direction, a rehabilitation activity distance, rehabilitation activity strength, rehabilitation motion time, rehabilitation motion keeping time and rehabilitation training times;
the analysis process of the rehabilitation analysis module is as follows:
the method comprises the following steps: labeling the rehabilitation trainee as u, u =1,2, … …, z, z being a positive integer; acquiring the real-time training times of a rehabilitation training person, and marking the real-time training times as KCSu;
step two: acquiring a rehabilitation training plan of a rehabilitation training person to obtain the times of rehabilitation training, entering the next step if the real-time training times are more than or equal to the times of rehabilitation training, and otherwise generating an unqualified rehabilitation training signal;
step three: acquiring real-time activity intensity KLDu of a rehabilitation training person during each rehabilitation training, and adding and averaging the real-time activity intensities of the rehabilitation training persons to obtain real-time activity average intensity JKLDu of the rehabilitation training person in the current rehabilitation training process;
step four: acquiring the real-time movement distance KJLU of the rehabilitation training personnel during each rehabilitation training, adding the real-time movement distances of the rehabilitation training personnel during each rehabilitation training, summing and averaging to obtain the real-time movement average distance JKJLU of the rehabilitation training personnel during the current rehabilitation training process;
step five: counting the total rehabilitation training time length of the rehabilitation training personnel after receiving the rehabilitation training plan, and marking the total rehabilitation training time length as KTCu; acquiring real-time motion holding duration KBTCu of a rehabilitation trainer during each rehabilitation training, adding the real-time motion holding durations during each rehabilitation training, and taking an average value to obtain real-time motion holding average duration JKBTCu;
step six: by the formula
Calculating to obtain a rehabilitation training value KXu of the rehabilitation trainee; in the formula, a1, a2, a3 and a4 are proportionality coefficients with fixed numerical values, and the values of a1, a2, a3 and a4 are all larger than zero;
the recording process of the rehabilitation recording module is specifically as follows:
step S1: obtaining real-time activity dynamics KLDui, real-time activity distance KJUi and real-time motion holding duration KBTCui in real-time training data according to the time stamp, wherein i =1,2 and … …, x and x are positive integers, and i represents the number of times of rehabilitation training;
step S2: the rehabilitation activity force traversal compares the real-time activity force KLDui during each rehabilitation training, the times that the real-time activity force is more than or equal to the rehabilitation activity force are obtained and recorded as the force effective times LDYCu;
similarly, the rehabilitation activity distance is traversed and compared with the real-time activity distance KJloui in each rehabilitation training, the times that the real-time activity distance is larger than or equal to the rehabilitation activity distance are obtained and recorded as the distance effective times JLYCu;
traversing and comparing the rehabilitation exercise holding time length KBTCui during each rehabilitation training to obtain the times that the real-time exercise holding time length is more than or equal to the rehabilitation exercise holding time length and recording the times as the effective times BTCYCu of the holding time length;
and step S3: the force effective times LDYCu, the distance effective times JLYCU and the holding duration effective times BTCYCu are sequentially compared with the real-time training times KCSu to obtain the force effective rate LDYLu, the distance effective rate JLYLu and the holding duration effective rate BTCYLu of the rehabilitation training personnel;
and step S4: calculating by a formula KYLu = LDYLLu × b1+ JLYLu × b2+ BTCYLu × b3 to obtain Kang Xun effective rate KYLu of the rehabilitation training personnel; in the formula, b1, b2 and b3 are all weight coefficients with fixed numerical values, and the values of b1, b2 and b3 are all larger than zero;
step S5: traversing the real-time activity degree KLDui, the real-time activity distance KJloui and the real-time movement keeping time KBTCui during each rehabilitation training, recording the rehabilitation training when the rehabilitation training personnel firstly reach the rehabilitation activity degree, the rehabilitation activity distance or the rehabilitation movement keeping time as standard rehabilitation training, and recording the standard rehabilitation training time T KLDu 、T KJLu 、T KBTCu And the number of times of real-time training C for reaching the standard for rehabilitation training KLDu 、C K J Lu 、C KBTCu ；
Step S6: acquiring the starting time TKu of the rehabilitation training personnel corresponding to the rehabilitation training plan, and calculating by combining a formula to obtain the Kang Xun lifting rate KTLu of the rehabilitation training personnel, wherein the formula is as follows:
the state grading module is used for grading the recovery state of the rehabilitation training personnel, and the working process is as follows:
step SS1: acquiring the calculated rehabilitation training values KXu and Kang Xun of rehabilitation trainees, wherein the effective rates KYLu and the lifting rates KTLu of Kang Xun are obtained;
step SS2: by the formula ZHu = KXu KYLu+KTLu Calculating to obtain a state recovery value ZHu of the rehabilitation training personnel in the rehabilitation training process;
step SS3: acquiring state recovery threshold values X1 and X2 prestored in a server, wherein X1 is smaller than X2, and comparing a state recovery value ZHu of a rehabilitation training person in the rehabilitation training process with the state recovery threshold values;
and step SS4: if ZHu is less than X1, generating a recovery state unqualified signal;
if X1 is not less than ZHu is less than X2, generating a recovery state qualified signal;
if X2 is less than or equal to ZHu, generating a good recovery state signal;
the real-time activity force KLDu1, the real-time activity distance KJLU1 and the real-time motion keeping duration KBTCu1 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the first time, the real-time activity force KLDu2, the real-time activity distance KJLU2 and the real-time motion keeping duration KBTCu2 are real-time training data when the rehabilitation training personnel perform rehabilitation training for the second time, and the like;
real-time training data of a rehabilitation training person during first rehabilitation training are real-time activity force KLDu1, real-time activity distance KJLU1 and real-time motion keeping duration KBTCu1;
the real-time training data of the rehabilitation training personnel during the second rehabilitation training are real-time activity dynamics KLDu2, real-time activity distance KJLU2 and real-time motion keeping duration KBTCu2;
the real-time training data of the rehabilitation training personnel for the third time of rehabilitation training are real-time activity force KLDu3, real-time activity distance KJLU3 and real-time motion keeping time KBTCu3;
if the real-time activity force KLDu1 is greater than or equal to the rehabilitation activity force, the first rehabilitation training is standard rehabilitation training of the rehabilitation activity force;
if the real-time activity distance KJLU2 is more than or equal to the rehabilitation activity strength, the second rehabilitation training is standard rehabilitation training of the rehabilitation activity distance;
if the real-time exercise keeping time KBTCu3 is more than or equal to the rehabilitation activity force, the third rehabilitation training is standard rehabilitation training of the rehabilitation exercise keeping time;
the rehabilitation training state of the rehabilitation training personnel is analyzed through the rehabilitation analysis module, the rehabilitation training value of the rehabilitation training personnel is obtained according to the real-time training times, the real-time activity average force, the real-time activity average distance, the total rehabilitation training time length and the real-time motion keeping average time length of the rehabilitation training personnel, the rehabilitation training of the rehabilitation training personnel is recorded through the rehabilitation recording module, the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training personnel are obtained, the rehabilitation training value, the Kang Xun effective rate and the Kang Xun lifting rate of the rehabilitation training personnel are sent to the state grading module, and after the state recovery value of the rehabilitation training personnel is graded through the state grading module in the rehabilitation training process and compared with the state recovery threshold, the rehabilitation state unqualified signal, the rehabilitation state qualified signal or the rehabilitation state excellent signal are generated.
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