CN211245203U - Automatic nerve positioning system - Google Patents
Automatic nerve positioning system Download PDFInfo
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- CN211245203U CN211245203U CN201922439455.4U CN201922439455U CN211245203U CN 211245203 U CN211245203 U CN 211245203U CN 201922439455 U CN201922439455 U CN 201922439455U CN 211245203 U CN211245203 U CN 211245203U
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- electrode
- positioning system
- nerve
- current generator
- muscle
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- 210000005036 nerve Anatomy 0.000 title claims abstract description 39
- 210000003205 muscle Anatomy 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 24
- 230000000638 stimulation Effects 0.000 claims description 21
- 230000001537 neural effect Effects 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 12
- 230000001133 acceleration Effects 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000004936 stimulating effect Effects 0.000 abstract description 19
- 238000012544 monitoring process Methods 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 4
- 238000012360 testing method Methods 0.000 abstract description 3
- 206010021118 Hypotonia Diseases 0.000 description 8
- 230000036640 muscle relaxation Effects 0.000 description 8
- 239000003158 myorelaxant agent Substances 0.000 description 8
- 206010002091 Anaesthesia Diseases 0.000 description 4
- 230000037005 anaesthesia Effects 0.000 description 4
- 230000004807 localization Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000002567 electromyography Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000002027 skeletal muscle Anatomy 0.000 description 2
- 210000000658 ulnar nerve Anatomy 0.000 description 2
- 206010049816 Muscle tightness Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- OEYIOHPDSNJKLS-UHFFFAOYSA-N choline Chemical compound C[N+](C)(C)CCO OEYIOHPDSNJKLS-UHFFFAOYSA-N 0.000 description 1
- 229960001231 choline Drugs 0.000 description 1
- 238000004070 electrodeposition Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000003087 receptor blocking agent Substances 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000002627 tracheal intubation Methods 0.000 description 1
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Abstract
The utility model discloses an automatic nerve positioning system, relate to nerve location technical field, including stimulating current generator, the array electrode piece, a check out test set and main control unit for detecting muscle reaction, including stimulating current generator through the setting, the array electrode piece, an automatic nerve positioning system for detecting check out test set and main control unit of muscle reaction, through applying stimulating current in turn in proper order to a plurality of electrode groups that set up in the nerve place region of awaiting positioning, treat the muscle of positioning nerve associated effect and react monitoring and data processing, automatic nerve location function has been realized, medical personnel's operation for patient's nerve location has greatly been simplified, need not to confirm electrode piece sticking position repeatedly, work efficiency is provided, the uniformity of nerve location has been improved simultaneously, high using value has.
Description
Technical Field
The utility model relates to a neural positioning technology field, in particular to automatic neural positioning system.
Background
The N2 choline receptor blocker is also called as skeletal muscle relaxant (muscle relaxant for short), can selectively act on N2 receptor on the motor nerve terminal plate membrane to block nerve impulse from transmitting to skeletal muscle to cause muscle relaxation, and is a commonly used drug in the surgical anesthesia process. The muscle relaxant has great individual variability, and the sensitivity of different muscle groups in the whole body to the muscle relaxant also has variability. The reasonable use of the muscle relaxant can meet the muscle relaxant requirements of different anesthesia stages, is beneficial to medical care personnel to grasp the time for intubation and tube drawing, reduces the incidence rate of the residual effect of the muscle relaxant after operation, and has important significance for ensuring sufficient muscle relaxation during operation and preventing the residual drug after anesthesia from inhibiting respiration, so that the accurate monitoring of muscle tension is very critical to the reasonable use of the muscle relaxant during anesthesia.
The muscle relaxation monitoring method commonly used in clinic comprises myomechanical tracing, electromyography, myophonography and myoaccelerography. Among them, the muscle acceleration tracing method is the most commonly used clinical muscle relaxation monitoring method, and the principle is as follows: the electrical stimulation is generated by the instrument, the nerve is stimulated to cause corresponding muscle action, and the muscle relaxation degree is judged through the feedback action of an accelerometer arranged at the muscle activity part.
The ulnar nerve-thumb adductor is the most accurate and convenient peripheral monitoring part recognized at present and becomes the gold standard for muscle relaxation monitoring by an acceleration method. Clinically, muscle relaxation is monitored by an acceleration method, two electrode plates for conventional electrocardiogram monitoring are generally required to be pasted at the front end of the upper arm of a monitoring arm for electrical stimulation, and two wires on a monitoring instrument are connected with the electrode plates for measurement.
Aiming at the problem of electrode slice sticking position selection, the existing solution is to use a fixed stimulation probe to manually find the ulnar nerve position and mark a positioning point, and then stick an electrode slice to the positioning point; aiming at the problem that the distance consistency can not be ensured when positive and negative electrode plates are pasted, the existing solution is to integrate the positive and negative electrodes, but the manual positioning method still has the problems of low efficiency, low consistency and the like.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome prior art not enough, provide an automatic, efficient automatic neural positioning system, can be fast accurate automatic positioning nerve position, do not need artifical the participation, greatly improve location efficiency and uniformity.
The purpose of the utility model is realized through the following technical scheme:
an automatic nerve positioning system comprises a stimulating current generator, an array electrode plate, a detection device for detecting muscle reaction and a main controller, the array electrode plate comprises a plurality of electrode groups distributed in an array, each electrode group consists of a positive electrode and a negative electrode, the stimulating current generator is connected with each electrode of the array electrode plate through an electrode wire, the array electrode plate is arranged in the area where the nerve to be positioned is located, the detection equipment is arranged at the position of the muscle related to the nerve to be positioned, the detection equipment is in communication connection with the main controller, the stimulating current generator is used for sequentially sending stimulating signals to each electrode group, the plurality of electrode groups stimulate the area where the nerve to be positioned is located in turn, the detection equipment is used for detecting the response data of muscles in the sequential stimulation process, and the main controller is used for processing the detection data of the detection equipment.
Furthermore, each electrode group may adopt an independent negative electrode and an independent positive electrode, the positive electrodes and the negative electrodes correspond to each other one by one, but the present invention is not limited to this, and any combination of a plurality of positive electrodes and a plurality of negative electrodes may be adopted as long as it is conformed that the plurality of electrode groups apply stimulation to the area where the nerve to be positioned is located in turn.
Furthermore, each electrode group adopts an independent negative electrode, each electrode group shares a positive electrode, and the positions of the positive electrode and the negative electrode correspond to each other, so that the plurality of electrode groups apply stimulation to the area where the nerve to be positioned is located in turn.
Furthermore, the number of the electrode groups can be six, and the negative electrodes of each electrode group are arranged in a straight line shape.
Further, the positive electrode and the negative electrode are rectangular, but are not limited to rectangular, and may be circular or any other shape.
Furthermore, each electrode group is integrated on the same circuit board.
Furthermore, the circuit board is made of FPC material.
Further, the detection device is an acceleration sensor, i.e. an acceleration sensor detection method is used for detecting the muscle reaction, but other detection methods such as myomechanical, myopressure, electromyography, myotonography, etc. are also applicable to the system.
Furthermore, the stimulation current generator is connected with the signal output end of the main controller, and the stimulation current generator generates stimulation currents which are applied to each electrode group in turn under the control of the main controller.
The system is suitable for the neural localization of the muscle relaxation monitoring product, but is also suitable for other similar application occasions needing the neural localization; in addition to being suitable for ulnar nerve localization, the method is also suitable for other nerve localization applications which can stimulate and monitor action response.
The utility model has the advantages that:
the utility model discloses a setting is including stimulating current generator, the array electrode piece, an automatic nerve location system for detecting the check out test set and main control unit of muscle reaction, through applying stimulating current in turn in proper order to setting up at a plurality of electrode group in the nerve place region of pending location, treat the muscle of the neural associated effect of location and react monitoring and data processing, automatic nerve location function has been realized, medical personnel are greatly simplified the operation of patient's nerve location, need not to confirm repeatedly that the electrode piece pastes the position, the work efficiency is provided, the uniformity of nerve location has been improved simultaneously, high using value has.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a schematic structural view of the present invention in example 1;
fig. 3 is a flow chart of the algorithm for sequentially sending out the stimulation signals by the stimulation current generator of the present invention;
in the figure, 1-stimulating current generator, 2-array electrode plate, 3-detection equipment, 4-main controller, 5-electrode wire, 6-negative electrode, 7-positive electrode and 11-circuit board.
Detailed Description
The technical solution 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. Based on the embodiments in the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution:
example 1
An automatic nerve positioning system is disclosed, as shown in figure 1, comprising a stimulating current generator 1, an array electrode plate 2, a detecting device 3 for detecting muscle reaction and a main controller 4, wherein the array electrode plate 2 comprises a plurality of electrode groups distributed in an array, each electrode group is composed of a positive electrode 7 and a negative electrode 6, the stimulating current generator 1 is connected with each electrode of the array electrode plate 2 through an electrode wire 5, the array electrode plate 2 is arranged in an area where a nerve to be positioned is located, the detecting device 3 is arranged at a muscle position where the nerve to be positioned is associated, the detecting device 3 is in communication connection with the main controller 4, the stimulating current generator 1 is used for sequentially sending stimulating signals to each electrode group, the plurality of electrode groups stimulate the area where the nerve to be positioned in turn, the built-in algorithm process can refer to figure 3, the detecting device 3 is used for detecting the muscle reaction data in the sequential stimulation process, the main controller 4 is used for processing the detection data of the detection device 3.
As shown in fig. 2, each electrode group uses an independent negative electrode 6, each electrode group shares a positive electrode 7, and the positive electrode 7 and each negative electrode 6 are positioned in correspondence with each other, for example, on two parallel surfaces of a U-shaped support frame, and are spatially in correspondence with each other. The electrode group is provided with six, and the negative electrode 6 of each electrode group is "a style of calligraphy" arranges, and each electrode group integration is on same circuit board 11, and this circuit board 11 can be the FPC material, as long as can will stimulate the electric current direction appointed area and exert amazing can, can integrate many electrode lines 5 through the port to make its array electrode piece 2 succinct more and practical.
The detection device 3 is an acceleration sensor, i.e. an acceleration sensor detection method is used for detecting the muscle reaction, but other detection methods than this, such as myomechanomography, myotonography, electromyography, myotonography, etc., are equally applicable to the system.
The stimulating current generator 1 is connected with the signal output end of the main controller 4, and the stimulating current generator 1 generates stimulating currents which are applied to all electrode groups in turn under the control of the main controller 4, so that the integration degree of the whole system is higher, and the use is more convenient.
The utility model discloses a theory of operation: the stimulating current generator 1 sends stimulating current to each electrode in turn according to the built-in algorithm program, the array electrode slice 2 is placed on the approximate position of the nerve to be measured, the arrangement direction of the electrode group array is approximately vertical to the trend of the nerve to be positioned, the stimulating current is transmitted to the corresponding electrode group on the electrode slice 2 of the array through the electrode wire 5 to stimulate, the nerve is stimulated to cause the muscle related to the nerve to react, and the closer the stimulation position is to the nerve position, the larger the muscle reaction amplitude is, the detection equipment 3 arranged at the muscle position can collect the reaction data and transmit the data to the main controller 4, the main controller 4 can receive the muscle reaction data initiated at each electrode position, and finding out the maximum value of the muscle response data, wherein the position of the electrode group corresponding to the maximum value is the position of the nerve to be positioned.
The foregoing is illustrative of the preferred embodiments of the present invention, and it is to be understood that the invention is not limited to the precise forms disclosed herein, and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the invention as defined by the appended claims. But that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention, which is to be limited only by the claims appended hereto.
Claims (9)
1. An automated neural positioning system, comprising: the muscle reaction detection device comprises a stimulation current generator (1), an array electrode plate (2), a detection device (3) for detecting muscle reaction and a main controller (4), wherein the array electrode plate (2) comprises a plurality of electrode groups distributed in an array, each electrode group comprises a positive electrode (7) and a negative electrode (6), the stimulation current generator (1) is connected with each electrode (6) and each electrode (7) of the array electrode plate (2) through an electrode wire (5), the array electrode plate (2) is arranged in an area where nerves to be positioned are located, the detection device (3) is arranged at a muscle position where the nerves to be positioned are associated, the detection device (3) is in communication connection with the main controller (4), the stimulation current generator (1) is used for sequentially sending stimulation signals to each electrode group, and a plurality of electrode groups stimulate the areas where the nerves to be positioned in turn, the detection device (3) is used for detecting reaction data of muscles in the sequential stimulation process, and the main controller (4) is used for processing the detection data of the detection device (3).
2. The automatic neural positioning system of claim 1, wherein: each electrode group adopts an independent negative electrode (6) and an independent positive electrode (7), and the positive electrodes (7) and the negative electrodes (6) are in one-to-one correspondence.
3. The automatic neural positioning system of claim 1, wherein: each electrode group adopts an independent negative electrode (6), each electrode group shares a positive electrode (7), and the positions of the positive electrode (7) and each negative electrode (6) correspond to each other.
4. The automatic neural positioning system of claim 3, wherein: the number of the electrode groups is six, and the negative electrodes (6) of each electrode group are arranged in a straight line shape.
5. The automatic neural positioning system of any one of claims 1-4, wherein: the positive electrode (7) and the negative electrode (6) are both rectangular.
6. The automatic neural positioning system of claim 1, wherein: the electrode groups are integrated on the same circuit board (11).
7. The automatic neural positioning system of claim 6, wherein: the circuit board (11) is made of FPC material.
8. The automatic neural positioning system of claim 1, wherein: the detection device (3) is an acceleration sensor.
9. The automatic neural positioning system of claim 1, wherein: the stimulation current generator (1) is connected with the signal output end of the main controller (4), and the stimulation current generator (1) generates stimulation currents which are applied to all the electrode groups in turn under the control of the main controller (4).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922439455.4U CN211245203U (en) | 2019-12-30 | 2019-12-30 | Automatic nerve positioning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922439455.4U CN211245203U (en) | 2019-12-30 | 2019-12-30 | Automatic nerve positioning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211245203U true CN211245203U (en) | 2020-08-14 |
Family
ID=71983229
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201922439455.4U Active CN211245203U (en) | 2019-12-30 | 2019-12-30 | Automatic nerve positioning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211245203U (en) |
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2019
- 2019-12-30 CN CN201922439455.4U patent/CN211245203U/en active Active
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Effective date of registration: 20220801 Address after: No. 37, Wuhou District National School Lane, Chengdu, Sichuan Province Patentee after: WEST CHINA HOSPITAL OF SICHUAN University Patentee after: CHENGDU EACOM TECHNOLOGY Co.,Ltd. Address before: 610041, 37, Guoxue Road, Chengdu, Sichuan, Wuhou District Patentee before: WEST CHINA HOSPITAL OF SICHUAN University Patentee before: Chengdu Yikang Mengchuang Medical Technology Co.,Ltd. |