CN118866304B - Intelligent human body state evaluation system based on neuromuscular stimulator - Google Patents
Intelligent human body state evaluation system based on neuromuscular stimulator Download PDFInfo
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- 230000002232 neuromuscular Effects 0.000 title claims abstract description 124
- 238000011156 evaluation Methods 0.000 title claims abstract description 13
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- 210000003205 muscle Anatomy 0.000 claims abstract description 50
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Abstract
The invention discloses an intelligent human body state evaluation system based on a neuromuscular stimulator, which relates to the field of human body state evaluation and comprises an acquisition module, a selection module, a formulating module, a nursing module and a judging module, wherein the acquisition module is used for acquiring limb information of a user, selecting a target limb to be exercised based on the limb information to obtain target limb information, the selection module is connected with the acquisition module and is used for selecting implantation position information of the neuromuscular stimulator based on the target limb information, the formulating module is connected with the selection module and is used for formulating neuromuscular nursing scheme information based on the target limb information, the nursing module is connected with the formulating module and is used for nursing the target limb based on the neuromuscular nursing scheme information, and the judging module is connected with the nursing module and is used for obtaining accurate indexes of human body state information based on a human body monitoring model. The invention can ensure the effectiveness of the neuromuscular stimulator on muscle stimulation.
Description
Technical Field
The invention relates to the field of human body state evaluation, in particular to an intelligent human body state evaluation system based on a neuromuscular stimulator.
Background
With the continued advancement of technology, neuromuscular stimulators have evolved from traditional medical devices to devices with intelligent functionality. The devices can monitor and treat the human body in real time according to the physiological response and the behavior mode, the existing neuromuscular stimulator has realized the function of the Internet of things, the data safety is a fundamental problem in the operation of human body state evaluation, the safety and the accuracy of the data are difficult to judge at present, and the accuracy of the human body state evaluation is difficult to ensure, so an intelligent human body state evaluation system based on the neuromuscular stimulator is provided.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent human body state evaluation system based on a neuromuscular stimulator.
The invention solves the technical problems through the following technical proposal, which comprises the following steps:
the acquisition module is used for acquiring limb information of a user, selecting a target limb to be exercised based on the limb information to obtain target limb information, and registering a user terminal based on the target limb information;
The selection module is connected with the acquisition module and used for selecting implantation position information of the neuromuscular stimulator based on the target limb information and constructing a human body monitoring model based on the implantation position information;
The formulating module is connected with the selecting module and is used for formulating neuromuscular nursing scheme information based on the target limb information and binding the neuromuscular nursing scheme information with the using end;
The nursing module is connected with the formulating module and is used for nursing the target limb based on neuromuscular nursing scheme information, collecting physiological signals of the target limb in real time and transmitting the physiological signals to the cloud server through the bidirectional transmission channel and the information group in the information transmission matrix to update the human body monitoring model;
and the judging module is connected with the nursing module and is used for obtaining the accurate index of the human body state information based on the human body monitoring model.
Further, the obtaining module includes:
An information acquisition unit for acquiring limb muscle information and nerve information of a user as limb information, selecting a limb to be exercised as a target limb through the limb information, and extracting information corresponding to the target limb based on the limb information as target limb information;
The registration unit is used for acquiring personnel identity information corresponding to the target limb information as registration information, storing the registration information corresponding to the cloud server and registering the cloud server to obtain a user end.
Further, the selecting module includes:
The device comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring connection information between nerves and muscles of a target limb based on the target limb information, and the connection information comprises a connection mode and a connection position;
The construction unit is used for constructing a limb model of the user end based on the connection information, selecting implantation position information of the neuromuscular stimulator based on the limb model and marking the implantation position information in the limb model to obtain a human body monitoring model, wherein the implantation position information comprises position information of the neuromuscular stimulator in a limb position point in the limb model and a neuromuscular stimulator position in a nerve and muscle connection position of a target limb.
Further, the construction unit includes:
The configuration unit is used for configuring a standard human body model corresponding to the use end, wherein the standard human body model comprises general muscle position information, general nerve position information, a general nerve-muscle connection mode and connection position information;
the marking unit is used for marking the corresponding limb of the target limb at the using end in the standard human body model;
the replacement unit is used for constructing a limb model of the user end based on the connection information, and replacing the limb after the corresponding mark in the standard human body model through the limb model to obtain a monitoring model;
a position determining unit for selecting, as implantation position information, a limb position point of the neuromuscular stimulator in the limb model and position information of the corresponding neuromuscular stimulator in a nerve and muscle connection position of the target limb;
The management unit is used for acquiring the identification information between the limb model and the corresponding implantation position information, and marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain the human body monitoring model.
Further, the management unit includes:
The selecting unit is used for taking a limb position point of the neuromuscular stimulator in the limb model as a first monitoring point;
The setting unit is used for setting a second monitoring point based on the target limb, marking the first monitoring point and the second monitoring point in a monitoring model, and establishing position relation information between the first monitoring point and the second monitoring point based on the monitoring model, wherein the position relation information is a position distance and an angle value of the first monitoring point and the second monitoring point when the limb is preset to act;
And the binding unit is used for binding the position relation information with the corresponding first monitoring point and second monitoring point to serve as identification information, marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain a human body monitoring model, and storing the human body monitoring model into a cloud server of the corresponding use end.
Further, the formulation module includes:
A formulation unit for formulating neuromuscular treatment plan information based on the target limb information, wherein the neuromuscular treatment plan information includes a target limb treatment intensity and a corresponding treatment time;
And the information binding unit is used for binding and storing the neuromuscular nursing scheme information and the corresponding using end into a cloud server corresponding to the using end.
Further, the care module includes:
The transmission establishing unit is used for establishing a bidirectional transmission channel between the cloud server and the neuromuscular stimulator, wherein verification points are arranged in the bidirectional transmission channel, and information transmission square matrixes are arranged at bidirectional transmission ports between the cloud server and the neuromuscular stimulator;
the division unit is used for dividing the neuromuscular nursing scheme information based on the cloud server to obtain a plurality of information groups, respectively placing the information groups in the information transmission square matrix, respectively endowing verification information to the corresponding information groups, and recording the verification information in verification points in the bidirectional transmission channel;
The information transmission unit is used for copying and reserving the information groups in the information transmission square matrix while transmitting the information groups in the information transmission square matrix to the neuromuscular stimulator based on the bidirectional transmission channel and verifying the verification information of the information groups based on the verification point;
The judging unit is used for destroying the corresponding information group when the verification information corresponding to the information group is inconsistent with the verification information recorded in the verification point, and simultaneously resending the information group in the information transmission square matrix corresponding to the destroyed information group until the neuromuscular care scheme information is completely transmitted to the information transmission square matrix in the neuromuscular stimulator;
the nursing unit is used for nursing the target limb according to the neuromuscular nursing scheme information by the neuromuscular stimulator, and acquiring physiological signals of the target limb in real time;
And the information providing unit is used for transmitting the physiological signals to the cloud server through the bidirectional transmission channel by the neuromuscular stimulator to update the human body monitoring model.
Further, the judging module includes:
the computing unit is used for obtaining an accurate index of the human body state information based on the human body monitoring model;
And the information judging unit is used for taking the muscle stimulation of the neuromuscular stimulator corresponding to the accurate index of the human body state information which does not meet the preset condition as invalid operation.
Compared with the prior art, the method has the advantages that the efficiency of transmitting the information groups can be improved, the transmission of normal information can not be influenced, the information groups corresponding to the verification information which cannot be verified are transmitted again until all neuromuscular care scheme information is completely transmitted to the information transmission matrix in the neuromuscular stimulator, the position of the neuromuscular stimulator can be monitored, the stability of the position of the neuromuscular stimulator is ensured, the effectiveness of the neuromuscular stimulator on muscle stimulation can be ensured, and the system is more worthy of popularization and use.
Drawings
Fig. 1 is a system connection frame diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution, which is an intelligent human body state evaluation system based on a neuromuscular stimulator, comprising:
the acquisition module is used for acquiring limb information of a user, selecting a target limb to be exercised based on the limb information to obtain target limb information, and registering a user terminal based on the target limb information;
The selection module is connected with the acquisition module and used for selecting implantation position information of the neuromuscular stimulator based on the target limb information and constructing a human body monitoring model based on the implantation position information;
The formulating module is connected with the selecting module and is used for formulating neuromuscular nursing scheme information based on the target limb information and binding the neuromuscular nursing scheme information with the using end;
The nursing module is connected with the formulating module and used for nursing the target limb based on the neuromuscular nursing scheme information, collecting the physiological signals of the target limb in real time and updating the physiological signals into the human body monitoring model;
the judging module is connected with the nursing module and is used for obtaining an accurate index of the human body state information based on the human body monitoring model;
further, as technology continues to advance, neuromuscular stimulators have evolved from traditional medical devices to devices with intelligent functionality. The equipment can monitor and treat in real time according to the physiological response and the behavior mode of a human body, the existing neuromuscular stimulator has realized the function of the Internet of things, but the safety of data is one item which needs to be managed in the process of the Internet of things, the data safety and the accuracy of the data are difficult to judge at present, the accuracy of the human body state assessment is difficult to ensure, the efficiency of transmitting the information group can be improved, the transmission of normal information can not be influenced, the information group corresponding to verification information which cannot be verified is transmitted again until the information of all neuromuscular care schemes is completely transmitted to an information transmission matrix in the neuromuscular stimulator, the position of the neuromuscular stimulator can be monitored, the stability of the position of the neuromuscular stimulator is ensured, and the effectiveness of the neuromuscular stimulator on muscle stimulation can be ensured;
In one embodiment, the acquisition module includes:
An information acquisition unit for acquiring limb muscle information and nerve information of a user as limb information, selecting a limb to be exercised as a target limb through the limb information, and extracting information corresponding to the target limb based on the limb information as target limb information;
the registration unit is used for acquiring personnel identity information corresponding to the target limb information as registration information, storing and registering the registration information corresponding to the cloud server to obtain a user end;
Further, first, acquiring information of body muscle information of a user, such as muscle strength, fatigue degree, spasm degree and the like, and acquiring neural information, such as electroencephalogram (EEG), electromyogram (EMG) or induction electromagnetic chart (SSEP) and the like, taking the body muscle information and the neural information as body information, then extracting a body to be exercised from the body information as a target body, then acquiring information corresponding to the target body as target body information based on the body information, then acquiring corresponding personnel identity information, such as various personal information including personnel identity information name, sex, age and the like, taking the personnel identity information corresponding to the target body information as registration information, storing and registering the registration information corresponding to a cloud server to obtain a user end, and making accurate personal body training management information for personnel, thereby having a better information management and storage function;
in one embodiment, the selecting module includes:
The device comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring connection information between nerves and muscles of a target limb based on the target limb information, and the connection information comprises a connection mode and a connection position;
The system comprises a building unit, a control unit and a control unit, wherein the building unit is used for building a limb model of a user end based on connection information, selecting implantation position information of a neuromuscular stimulator based on the limb model and marking the implantation position information in the limb model to obtain a human body monitoring model, wherein the implantation position information comprises limb position points of the neuromuscular stimulator in the limb model and position information of the neuromuscular stimulator in nerve and muscle connection positions of a target limb;
Further, it is first required to collect connection information between the nerves and muscles of the target limb of the user in the target limb information, where the connection information includes connection modes and connection positions, where the connection modes and specific positions between the nerves and muscles of each person may be different, so that connection information of the user individual needs to be collected, so as to prepare for implanting the neuromuscular stimulator into the target limb, then constructing a user limb model based on the connection information, where the limb model is a detailed model of the muscles and the nerve connection information of the target limb of the user, and then selecting implantation position information of the neuromuscular stimulator in the human body by referring to the limb model, where the implantation position information includes position information of the neuromuscular stimulator in the limb model and the neuromuscular stimulator in the nerve and muscle connection positions of the target limb, so that the implantation situation of the neuromuscular stimulator can be known exactly, and then marking the implantation position information in the limb model, and combining the limb model with the human body model to obtain a human body monitoring model, so that the state information of the target limb can be known better, and the limb state information can be known better with reference;
in one embodiment, the building unit comprises:
The configuration unit is used for configuring a standard human body model corresponding to the use end, wherein the standard human body model comprises general muscle position information, general nerve position information, a general nerve-muscle connection mode and connection position information;
the marking unit is used for marking the corresponding limb of the target limb at the using end in the standard human body model;
the replacement unit is used for constructing a limb model of the user end based on the connection information, and replacing the limb after the corresponding mark in the standard human body model through the limb model to obtain a monitoring model;
a position determining unit for selecting, as implantation position information, a limb position point of the neuromuscular stimulator in the limb model and position information of the corresponding neuromuscular stimulator in a nerve and muscle connection position of the target limb;
the management unit is used for acquiring the identification information between the limb model and the corresponding implantation position information, and marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain a human body monitoring model;
Further, a standard human body model is configured corresponding to the user end, wherein the standard human body model is a three-dimensional general muscle position information, a general nerve and muscle connection mode and a connection position information display model, the general is a connection mode and connection position information between the most muscle position information and nerve position information of a person based on big data and the general nerve and muscle, the general is used as a general information, if the connection information of the limb of the user end is inconsistent with the connection information of the limb in the general standard human body model, then the limb model is obtained by constructing the connection information of the user end, the limb after the corresponding mark in the standard human body model is replaced through the limb model, the monitoring model is obtained, the better limb muscle and nerve composition display is realized, the monitoring evaluation can be conveniently carried out on the limb, then the position information of the nerve muscle stimulator in the limb position point in the limb model and the nerve muscle connection position of the nerve stimulator in the target limb is selected as the implantation position information, if the connection information of the limb connecting information of the user end and the limb in the general standard human body model is inconsistent with the connection information of the limb, the nerve stimulator can be ensured, the distance between the nerve muscle position of the nerve stimulator and the nerve stimulator can be ensured, the nerve position of the nerve stimulator can be further ensured, the nerve stimulator can be stably implanted in the position of the target muscle can be ensured, and the nerve position can be well stimulated by the nerve stimulator can be well stimulated, avoiding that effective exercise cannot be achieved on muscles due to position variation, and then marking implantation position information in a corresponding limb model in the monitoring model to obtain a human body monitoring model;
in one embodiment, the management unit includes:
The selecting unit is used for taking a limb position point of the neuromuscular stimulator in the limb model as a first monitoring point;
The setting unit is used for setting a second monitoring point based on the target limb, marking the first monitoring point and the second monitoring point in a monitoring model, and establishing position relation information between the first monitoring point and the second monitoring point based on the monitoring model, wherein the position relation information is a position distance and an angle value of the first monitoring point and the second monitoring point when the limb is preset to act;
the binding unit is used for binding the position relation information with the corresponding first monitoring point and second monitoring point to serve as identification information, marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain a human body monitoring model, and storing the human body monitoring model into a cloud server of the corresponding use end;
Further, a limb position point of the neuromuscular stimulator in a limb model is taken as a first monitoring point, the implanted position of the neuromuscular stimulator is taken as a position of the neuromuscular stimulator, then a second monitoring point is set based on a target limb, the first monitoring point and the second monitoring point are marked in the monitoring model, positional relation information between the first monitoring point and the second monitoring point is established based on the monitoring model, wherein the positional relation information is a position distance and an angle value between the first monitoring point and the second monitoring point when the preset limb acts, the second monitoring point is an external positioning module, the second monitoring point is used for knowing whether the first monitoring point is changed in position through the second monitoring point, for example, a finger ring is worn on one designated finger to serve as the second monitoring point, and a preset limb act is set in addition, wherein the preset limb act can be combined by two feet and is downwards released to stand at two-side trouser-slit positions, the angle information and the position distance between the first monitoring point and the second monitoring point can be known, the information can be used as identification information, then the position of the first monitoring point and the second monitoring point can be used for accurately maintaining the muscle performance of the limb in the monitoring model, and the human body can be more accurately stimulated, and the human body can be better used for the muscle health condition can be better after the muscle is stimulated by the muscle monitoring model, and the muscle is more accurately stimulated;
in one embodiment, the formulation module includes:
A formulation unit for formulating neuromuscular treatment plan information based on the target limb information, wherein the neuromuscular treatment plan information includes a target limb treatment intensity and a corresponding treatment time;
The information binding unit is used for binding and storing the neuromuscular nursing scheme information and the corresponding using end to the cloud server corresponding to the using end;
Further, medical staff can use the limb muscle information and the nerve information of the target limb of the staff to formulate the target limb nursing intensity and the corresponding nursing time, wherein the target limb nursing intensity is the electric stimulation intensity, the nursing time is the muscle stimulation time of the nerve muscle stimulator, and then the nerve muscle nursing scheme information and the corresponding using end are bound, so that an independent nursing scheme can be carried out corresponding to the using end;
in one embodiment, the care module comprises:
The transmission establishing unit is used for establishing a bidirectional transmission channel between the cloud server and the neuromuscular stimulator, wherein verification points are arranged in the bidirectional transmission channel, and information transmission square matrixes are arranged at bidirectional transmission ports between the cloud server and the neuromuscular stimulator;
the division unit is used for dividing the neuromuscular nursing scheme information based on the cloud server to obtain a plurality of information groups, respectively placing the information groups in the information transmission square matrix, respectively endowing verification information to the corresponding information groups, and recording the verification information in verification points in the bidirectional transmission channel;
The information transmission unit is used for copying and reserving the information groups in the information transmission square matrix while transmitting the information groups in the information transmission square matrix to the neuromuscular stimulator based on the bidirectional transmission channel and verifying the verification information of the information groups based on the verification point;
The judging unit is used for destroying the corresponding information group when the verification information corresponding to the information group is inconsistent with the verification information recorded in the verification point, and simultaneously resending the information group in the information transmission square matrix corresponding to the destroyed information group until the neuromuscular care scheme information is completely transmitted to the information transmission square matrix in the neuromuscular stimulator;
the nursing unit is used for nursing the target limb according to the neuromuscular nursing scheme information by the neuromuscular stimulator, and acquiring physiological signals of the target limb in real time;
The information providing unit is used for transmitting physiological signals to the cloud server through the bidirectional transmission channel by the neuromuscular stimulator to update the human body monitoring model;
Further, in order to ensure the safety of information transmission between the cloud server and the neuromuscular stimulator, it is necessary to set verification points in the bidirectional transmission channel, two-way transmission ports between the cloud server and the neuromuscular stimulator are both provided with information transmission matrixes, the information transmission matrixes are a multi-port and same-channel transmission method for carrying out division placement and preparation for transmission on neuromuscular care scheme information, the information transmission matrixes are divided by the cloud server to obtain a plurality of information groups based on the information of the neuromuscular care scheme, the information groups are respectively placed in the information transmission matrixes, verification information is respectively assigned to the corresponding information groups and recorded in the verification points in the bidirectional transmission channel, the verification information corresponding to the information groups is obtained in advance before transmission, the information groups in the information transmission matrixes are transmitted to the neuromuscular stimulator while copying the information groups in the reserved information transmission matrixes based on the bidirectional transmission channel, verification information of the information groups is verified based on the verification points, the information groups in the reserved information transmission matrixes are transmitted again when verification information of the information groups in the neuromuscular care scheme is in order to appear, if the verification information corresponding to the information of the information groups is not verified, the corresponding to the verification information groups in the information groups are not verified in the verification points are transmitted to the neuromuscular stimulator, the neuromuscular stimulator is updated in real time, the physiological system is monitored by the neuromuscular stimulator, and the physiological system is updated according to the neuromuscular stimulator, and the information is transmitted to the nerve information corresponding to the nerve muscle stimulator, the operation of transmitting physiological information to the cloud server by the neuromuscular stimulator is consistent with the operation of transmitting information groups in the information transmission matrix to the neuromuscular stimulator based on the bidirectional transmission channel, so that the safety and the accuracy of the information groups can be ensured, the transmission efficiency of the information groups can be improved, the transmission of normal information can not be influenced, the information groups corresponding to verification information which cannot be verified are transmitted again, the data small information transmission process is faster, compared with the whole information transmission process, the transmission efficiency of the information is improved when abnormal data exists in a phase-changing manner, and all neuromuscular care scheme information is completely transmitted to the information transmission matrix in the neuromuscular stimulator, so that the transmission is completed;
in one embodiment, the judging module includes:
The calculation unit is used for obtaining an accurate index of the human body state information based on the human body monitoring model, wherein a calculation formula of the human body state information comprises:
Wherein, the method comprises the steps of, wherein, Is an accurate index of the human body state information,For the distance difference between the actual position distance between the first monitoring point and the second monitoring point when the preset limb acts and the position distance between the first monitoring point and the second monitoring point when the preset limb acts,For the angle difference value between the actual angle information value of the first monitoring point and the second monitoring point when the preset limb acts and the angle value of the first monitoring point and the second monitoring point when the preset limb acts,For the times that verification information corresponding to the information group in the bidirectional transmission process between the cloud server and the neuromuscular stimulator is inconsistent with the recorded verification information in the verification point,Weight coefficients are transmitted between the cloud server and the neuromuscular stimulator,As a coefficient of deviation of the first monitoring point from the second monitoring point,And (3) withAll have constants greater than zero, and it is noted that,、And (3) withThe larger the value of (c) is,The larger the number of (c) is, the lower the accuracy of representing the human body state information is;
An information judging unit for taking the muscle stimulation of the neuromuscular stimulator corresponding to the accurate index of the human body state information which does not meet the preset condition as the ineffective operation;
Further, the accurate index of the human body state information is obtained based on the human body monitoring model, whether the position of the neuromuscular stimulator affects the effect of muscle stimulation or not and the comprehensive judgment of data safety in the transmission process can be judged, the accurate index of the human body state information is obtained, the accuracy of muscle nursing can be greatly improved, and the rehabilitation work of a user can be better helped.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (3)
1. An intelligent human body state assessment system based on a neuromuscular stimulator, comprising:
the acquisition module is used for acquiring limb information of a user, selecting a target limb to be exercised based on the limb information to obtain target limb information, and registering a user terminal based on the target limb information;
The selection module is connected with the acquisition module and used for selecting implantation position information of the neuromuscular stimulator based on the target limb information and constructing a human body monitoring model based on the implantation position information;
The formulating module is connected with the selecting module and is used for formulating neuromuscular nursing scheme information based on the target limb information and binding the neuromuscular nursing scheme information with the using end;
The nursing module is connected with the formulating module and is used for nursing the target limb based on neuromuscular nursing scheme information, collecting physiological signals of the target limb in real time and transmitting the physiological signals to the cloud server through the bidirectional transmission channel and the information group in the information transmission matrix to update the human body monitoring model;
the judging module is connected with the nursing module and is used for obtaining an accurate index of the human body state information based on the human body monitoring model;
The selecting module comprises:
The device comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring connection information between nerves and muscles of a target limb based on the target limb information, and the connection information comprises a connection mode and a connection position;
The system comprises a building unit, a control unit and a control unit, wherein the building unit is used for building a limb model of a user end based on connection information, selecting implantation position information of a neuromuscular stimulator based on the limb model and marking the implantation position information in the limb model to obtain a human body monitoring model, wherein the implantation position information comprises limb position points of the neuromuscular stimulator in the limb model and position information of the neuromuscular stimulator in nerve and muscle connection positions of a target limb;
The construction unit includes:
The configuration unit is used for configuring a standard human body model corresponding to the use end, wherein the standard human body model comprises general muscle position information, general nerve position information, a general nerve-muscle connection mode and connection position information;
the marking unit is used for marking the corresponding limb of the target limb at the using end in the standard human body model;
the replacement unit is used for constructing a limb model of the user end based on the connection information, and replacing the limb after the corresponding mark in the standard human body model through the limb model to obtain a monitoring model;
a position determining unit for selecting, as implantation position information, a limb position point of the neuromuscular stimulator in the limb model and position information of the corresponding neuromuscular stimulator in a nerve and muscle connection position of the target limb;
the management unit is used for acquiring the identification information between the limb model and the corresponding implantation position information, and marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain a human body monitoring model;
The management unit includes:
The selecting unit is used for taking a limb position point of the neuromuscular stimulator in the limb model as a first monitoring point;
The setting unit is used for setting a second monitoring point based on the target limb, marking the first monitoring point and the second monitoring point in a monitoring model, and establishing position relation information between the first monitoring point and the second monitoring point based on the monitoring model, wherein the position relation information is a position distance and an angle value of the first monitoring point and the second monitoring point when the limb is preset to act;
the binding unit is used for binding the position relation information with the corresponding first monitoring point and second monitoring point to serve as identification information, marking the implantation position information and the identification information in the corresponding limb model in the monitoring model to obtain a human body monitoring model, and storing the human body monitoring model into a cloud server of the corresponding use end;
The care module includes:
The transmission establishing unit is used for establishing a bidirectional transmission channel between the cloud server and the neuromuscular stimulator, wherein verification points are arranged in the bidirectional transmission channel, and information transmission square matrixes are arranged at bidirectional transmission ports between the cloud server and the neuromuscular stimulator;
the division unit is used for dividing the neuromuscular nursing scheme information based on the cloud server to obtain a plurality of information groups, respectively placing the information groups in the information transmission square matrix, respectively endowing verification information to the corresponding information groups, and recording the verification information in verification points in the bidirectional transmission channel;
The information transmission unit is used for copying and reserving the information groups in the information transmission square matrix while transmitting the information groups in the information transmission square matrix to the neuromuscular stimulator based on the bidirectional transmission channel and verifying the verification information of the information groups based on the verification point;
The judging unit is used for destroying the corresponding information group when the verification information corresponding to the information group is inconsistent with the verification information recorded in the verification point, and simultaneously resending the information group in the information transmission square matrix corresponding to the destroyed information group until the neuromuscular care scheme information is completely transmitted to the information transmission square matrix in the neuromuscular stimulator;
the nursing unit is used for nursing the target limb according to the neuromuscular nursing scheme information by the neuromuscular stimulator, and acquiring physiological signals of the target limb in real time;
The information providing unit is used for transmitting physiological signals to the cloud server through the bidirectional transmission channel by the neuromuscular stimulator to update the human body monitoring model;
The judging module comprises:
the computing unit is used for obtaining an accurate index of the human body state information based on the human body monitoring model;
An information judging unit for taking the muscle stimulation of the neuromuscular stimulator corresponding to the accurate index of the human body state information which does not meet the preset condition as the ineffective operation;
Wherein, the calculation formula of human body state information includes:
Wherein, the method comprises the steps of, wherein, Is an accurate index of the human body state information,For the distance difference between the actual position distance between the first monitoring point and the second monitoring point when the preset limb acts and the position distance between the first monitoring point and the second monitoring point when the preset limb acts,For the angle difference value between the actual angle information value of the first monitoring point and the second monitoring point when the preset limb acts and the angle value of the first monitoring point and the second monitoring point when the preset limb acts,For the times that verification information corresponding to the information group in the bidirectional transmission process between the cloud server and the neuromuscular stimulator is inconsistent with the recorded verification information in the verification point,Weight coefficients are transmitted between the cloud server and the neuromuscular stimulator,As a coefficient of deviation of the first monitoring point from the second monitoring point,And (3) withAre constants greater than zero.
2. The intelligent human body state assessment system based on the neuromuscular stimulator as set forth in claim 1, wherein the obtaining module comprises:
An information acquisition unit for acquiring limb muscle information and nerve information of a user as limb information, selecting a limb to be exercised as a target limb through the limb information, and extracting information corresponding to the target limb based on the limb information as target limb information;
The registration unit is used for acquiring personnel identity information corresponding to the target limb information as registration information, storing the registration information corresponding to the cloud server and registering the cloud server to obtain a user end.
3. The intelligent human body state evaluation system based on the neuromuscular stimulator as set forth in claim 1, wherein the formulating module comprises:
A formulation unit for formulating neuromuscular treatment plan information based on the target limb information, wherein the neuromuscular treatment plan information includes a target limb treatment intensity and a corresponding treatment time;
And the information binding unit is used for binding and storing the neuromuscular nursing scheme information and the corresponding using end into a cloud server corresponding to the using end.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US5880976A (en) * | 1997-02-21 | 1999-03-09 | Carnegie Mellon University | Apparatus and method for facilitating the implantation of artificial components in joints |
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| US11564626B2 (en) * | 2019-08-26 | 2023-01-31 | Samsung Electronics Co., Ltd. | Implantable monitoring device and method of operating the implantable monitoring device |
| CN113081259B (en) * | 2021-03-18 | 2022-06-28 | 苏州景昱医疗器械有限公司 | Method and system for preoperative screening of neurostimulator implantation in the skull |
| US11338131B1 (en) * | 2021-05-05 | 2022-05-24 | Vektor Medical, Inc. | Guiding implantation of an energy delivery component in a body |
| JP2025520450A (en) * | 2022-06-15 | 2025-07-03 | ユニバーシティ オブ ピッツバーグ － オブ ザ コモンウェルス システム オブ ハイヤー エデュケイション | Treatment of Spinal Muscular Atrophy |
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