CN203524665U - Spinal cord monitor - Google Patents
Spinal cord monitor Download PDFInfo
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- CN203524665U CN203524665U CN201320637111.4U CN201320637111U CN203524665U CN 203524665 U CN203524665 U CN 203524665U CN 201320637111 U CN201320637111 U CN 201320637111U CN 203524665 U CN203524665 U CN 203524665U
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Abstract
The utility model relates to a spinal cord monitor. The spinal cord monitor is characterized in that a display screen, a control button, a pre-amplifier input interface, a stimulator output interface and a power interface are arranged on a monitor shell and connected with a control circuit, and the control circuit comprises a pre-amplifier, a stimulator, an amplification and filter circuit, an A/D conversion module, a self-adapting filter, a CPU, a display control panel and a power circuit; the pre-amplifier, the amplification and filter circuit, the A/D conversion module and the self-adapting filter are sequentially connected, and the self-adapting filter and the display control panel are connected with the CPU. The spinal cord monitor is reasonable in design, the processing mode that a simulation band-pass filter and a digital filter are combined is adopted, signal analyzing and processing are conducted in a radial basis function neural network filter mode based on an FPGA, effective signals can be quickly and effectively extracted, the effects of quickly picking up and automatically recognizing evoked potential are achieved, detection accuracy is improved, and time required by discrimination is shortened.
Description
Technical field
This utility model belongs to armarium technical field, especially a kind of spinal cord monitoring instrument.
Background technology
Spinal cord monitoring instrument is a kind of instrument that detects and assess for the damage status to spinal cord of Surgery of spinal cord operation.Because spinal surgery is a kind of excessive risk operation; in spinal surgery (as deformity of spine operation) and cardiac surgery operation (as Operation of Aortic Aneurysm); often can be due to ischemia of spinal cord or mechanical stretch/compressing; cause spinal cord injury; this damage the lighter causes quadriplegia; severe one may cause even threat to life of hemiplegia, paraplegia, and therefore, in art, spinal cord monitoring becomes a kind of routine monitoring means of necessity.
Somatosensory evoked potential (SEP) is the electrophysiologic response that nerve is recorded to while being subject to environmental stimuli, can reflect the integrity of spinal cord and central nervous system function, the Rhizoma Atractylodis Macrocephalae median ridge marrow that is widely used monitoring.Yet, very faint owing to bringing out electric potential signal, in art, detect and be easily subject to a lot of noise jamming, so signal to noise ratio is very low.On market, existing custodial care facility is all to pick up and bring out current potential based on average superimposing technique, in these arts, bringing out the subject matter that current potential monitoring exists is: length consuming time (superpose 500 times above a few minutes even dozens of minutes go out a result, artificial judgment takes longer), lack dynamic variation information and be difficult to three aspects of Measurement accuracy, the testing result of this discontinuity does not possess the concept of real-time monitoring substantially, can not guarantee to correct in time operation to neural infringement.Fast SEP pick up and accurately and reliably Automatic parameter detection technique be the key technology of bringing out current potential spinal cord monitoring in art.
Spinal cord monitoring product is in the market mainly import brand, and several producers of market share amount maximum are NICOLET, OXFORD, MEDTRONIC and Axon.These products are still also being used based on repeatedly the bring out potentiometric detection and manual operations or automanual waveform parameter of superposed average technology are measured.
Because having very major part, can be corrected the nerve function lesion in art, function of nervous system can be restored or make nerve injury to reach bottom line, avoid occurring irreversible nerve function lesion, therefore, SEP monitoring technology can be avoided the malpractice occurring in neurosurgery effectively fast; Automatic parameter detection technique can improve the reliability of spinal cord monitoring accurately and reliably.The solution of above-mentioned two problems can promote the major function of electrophysiology monitoring equipment effectively, makes to bring out current potential spinal cord monitoring instrument in art and upgrades.
Summary of the invention
The purpose of this utility model is to overcome the deficiencies in the prior art, and a kind of spinal cord monitoring instrument is provided, and has solved the problem of bringing out current potential quick pick-up and automatically identifying.
This utility model solves existing technical problem and takes following technical scheme to realize:
A kind of spinal cord monitoring instrument, comprise casing and control circuit, on the front panel of casing, being provided with display screen is connected with control knob and with control circuit, on the bonnet of casing, be provided with preamplifier input interface, stimulator output interface and power interface and be connected with control circuit, described control circuit comprises preamplifier and the stimulator that is arranged on casing outside and the filtering and amplifying circuit that is arranged on casing inside, A/D modular converter, sef-adapting filter, CPU, display control panel, power circuit; Described power circuit is connected for its power supply with preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter, CPU, display control panel and stimulator respectively; Described preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter are connected successively, and this sef-adapting filter, display control panel are connected with CPU.
And described filtering and amplifying circuit adopts adjustable band bandpass filter; Described sef-adapting filter adopts the radial base neural net wave filter based on FPGA.
And, on the bonnet of described casing, be also provided with USB interface and be connected with control circuit, this USB interface is used for connecting computer equipment or USB printer.
And, on the front panel of described casing, be also provided with working station indicator and be connected with buzzer and with control circuit.
Advantage of the present utility model and good effect are:
This utility model is reasonable in design, the processing mode that it adopts analog band-pass filter and digital filter to combine, and carry out Digital Signal Analysis and Processing by the radial base neural net filtering mode based on FPGA, can fast and effeciently extract useful signal, solved the problem of bringing out current potential quick pick-up and automatically identifying, improved the accuracy rate detecting and shortened the needed time of differentiating, provide a kind of criterion of new automatic detection spinal cord injury, simultaneously for other brain electricity, BEP detects and the development of the industry of monitoring lays the first stone.
Accompanying drawing explanation
Fig. 1 is front-panel structure schematic diagram of the present utility model;
Fig. 2 is rear cover structure schematic diagram of the present utility model;
Fig. 3 is circuit block diagram of the present utility model;
Fig. 4 is data flow schematic diagram of the present utility model;
Fig. 5 is digital filtering algorithm structural representation;
Fig. 6 is application system schematic diagram of the present utility model.
The specific embodiment
Below in conjunction with accompanying drawing, this utility model embodiment is further described.
A kind of spinal cord monitoring instrument, comprise casing and control circuit thereof, as shown in Figures 1 and 2, be provided with display screen 2, control knob 4-9, display lamp 10 and buzzer 11 and be connected with control circuit on the front panel 1 of casing, front panel is mainly used in showing and control instrument; On the bonnet of casing, be provided with input interface 12, stimulator output interface 13, USB communication interface 14 and the power interface 15 of preamplifier and be connected with control circuit, bonnet is mainly used in connecting external equipment (as preamplifier, USB device, stimulator and power supply).
As shown in Figure 3, control circuit comprises preamplifier and stimulator and the filtering and amplifying circuit that is arranged on casing inside, A/D modular converter, sef-adapting filter, CPU, display control panel, power circuit and the alarm module that is arranged on casing outside; Described power circuit is connected for its power supply with preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter, CPU, display control panel, alarm module and stimulator respectively; Described preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter are connected successively, and this sef-adapting filter, display control panel are connected with CPU, and in the present embodiment, sef-adapting filter adopts FPGA filtration module.When stimulator sends stimulus signal, through body, sense collects SEP signal after bringing out, this SEP signal is processed through the preposition filtering and amplifying circuit that is amplified into, after A/D conversion, enter that filtering signal after sef-adapting filter enters that CPU carries out computing and by display control circuit display waveform in display, when showing, signal is carried out to automatic analysis, if meet alert if, monitor is reported to the police by buzzer.When display shows, signal also can go on record and put into the internal memory that fuselage carries, for signal being recalled or further processing, in addition, can also be connected to by the USB port of bonnet the printer that carries out data storage in computer or connect USB interface and print.
The date processing of this control circuit flows to as shown in Figure 4, wherein analog filter has partly used adjustable band bandpass filter, lower limit is 0.1Hz by frequency setting, and the upper limit regulates (500Hz by adjustable 4 gears that are divided into of frequency, 1KHz, 2KHz, 10KHz), different in the situation that, use different gears to carry out signal processing (if the more detail signal of needs is used higher upper cut-off frequency, if needs is the overall trend of signal, using lower reaching the standard grade by frequency).Digital filter has used the radial base neural net filtering algorithm based on FPGA, the thinking of its algorithm as shown in Figure 5, the input of SEP semaphore noise reference is connected in Adaptive Noise Canceler, Adaptive Noise Canceler is connected to respectively Signal Booster and radial base neural net filtering after noise Processing for removing, the output signal of radial base neural net is also connected in Signal Booster, Signal Booster is realized SEP output after signal is strengthened, that is: using terminal electrode An arrayed recording to bring out electric potential signal as carrying out adaptive noise elimination with reference to input, the preliminary SEP Signal-to-Noise that improves, then with radial basis function neural network recursion, go out reference signal and carry out adaptive signal enhancement, form the compound sef-adapting filter based on radial primary function network.
As shown in Figure 6, the signal that preamplifier a7 is mainly used in gathering carries out processing and amplifying in the concrete application of this spinal cord monitoring instrument, its input a6 interface connecting sensor, and output interface connects monitor main frame 8.Stimulation location is the neural epidural a2 of the two descending joint intervertebral space of the popliteal nest a1 of place or operative site, and operative site is a3, and signals collecting position is neural epidural a4 or the head a5 of two up joint intervertebral space of operative site.Wherein, when stimulated side both positive and negative polarity wire a9, a10 are connected to the use of a1 position, ， popliteal nest place, human body place by rear chassis stimulator output interface, two electrodes separate small distance and are attached on skin; When neural epidural a2 end is used, two electrodes lay respectively at vertebra both sides.Receiving terminal is used two-way interface access signal, and when overhead the a5 of portion position is used, two electrodes separate small distance and are attached on skin, and when neural epidural a2 end is used, two electrodes lay respectively at vertebra both sides.After opening switch, electric current is sent in stimulated side, carries out the stimulation of somatosensory evoked potential, and signal signal after preamplifier input port input preamplifier enters CPU, shows, storage, discriminant alarm.
When monitoring, according to the connected mode shown in Fig. 6, connect and check that whether the each several part connecting is normal.The stimulating electrode of monitor is attached to the Bing Ren popliteal nest (of place popliteal nest also can be replaced by ankle), collecting electrode is placed in to upper end or the head of operation place, after energising, can on the display of monitor main frame, show the signal of somatosensory evoked potential, the upper cut-off frequency of the band filter can conditioning signal passing through according to the difference of the required signal characteristic of doctor is carried out the effect of conditioning signal, to reach the required semaphore request of doctor.If because maloperation has caused neural damage or compressing, will cause so the weak of the obstruction of Nervous pathway or neurotransmission signal when carrying out spinal nerves surgical operation, thereby cause the amplitude of bringing out current potential to decline or prolongation of latency.If signal amplitude decay surpasses 50%, 10% of prolongation of latency is thought patient has been caused to neural injury, at this moment, instrument can be reported to the police in buzzing, doctor should check the process of surgical procedure fast, before repairing, operation process, to the spinoneural infringement of patient, reaches the object of quick reparation damage with this.
The innovation characteristic of this utility model on software is following 3 points.(1) method that combines adaptive-filtering and time frequency analysis is carried out picking up signal and feature extraction, by having attained at present ripe several signal processing methods, combine, be incorporated in the spinal cord monitoring equipment to be developed that brings out in real time potentiometric detection and go, both can improve detection signal-to-noise ratio, can realize again automatically, fast and reliable bring out current potential feature extraction and parameter measurement.(2) in the applicable Rhizoma Atractylodis Macrocephalae of research, bring out the multi-channel adaptive filtration module of potentiometric detection, solved technically the ageing problem of bringing out fast potentiometric detection.(3) combine closely clinically, research, based on bringing out spinal cord monitoring new argument and new criterion in the art of current potential time frequency analysis, improves reliability and the automaticity of monitoring, eliminates monitoring process to artificial dependence.Thereby solve the shortcoming of prior art in clinical practice with not enough.
This utility model adopts comprehensive parameters automatic analysis method to judge the behavioral characteristics of function of spinal nerves, in conjunction with the rapid extraction of SEP, realizes real-time, dynamic function of spinal nerves monitor, and this is also the latest development trend of spinal cord monitoring in current art.
It is emphasized that; embodiment described in the utility model is illustrative; rather than determinate; therefore this utility model comprises and is not limited to the embodiment described in the specific embodiment; every other embodiments that drawn according to the technical solution of the utility model by those skilled in the art, belong to the scope that this utility model is protected equally.
Claims (4)
1. a spinal cord monitoring instrument, comprise casing and control circuit, it is characterized in that: on the front panel of casing, be provided with display screen and be connected with control knob and with control circuit, on the bonnet of casing, be provided with preamplifier input interface, stimulator output interface and power interface and be connected with control circuit, described control circuit comprises preamplifier and the stimulator that is arranged on casing outside and the filtering and amplifying circuit that is arranged on casing inside, A/D modular converter, sef-adapting filter, CPU, display control panel, power circuit; Described power circuit is connected for its power supply with preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter, CPU, display control panel and stimulator respectively; Described preamplifier, filtering and amplifying circuit, A/D modular converter, sef-adapting filter are connected successively, and this sef-adapting filter, display control panel are connected with CPU.
2. spinal cord monitoring instrument according to claim 1, is characterized in that: described filtering and amplifying circuit adopts adjustable band bandpass filter; Described sef-adapting filter adopts the radial base neural net wave filter based on FPGA.
3. spinal cord monitoring instrument according to claim 1 and 2, is characterized in that: on the bonnet of described casing, be also provided with USB interface and be connected with control circuit, this USB interface is used for connecting computer equipment or USB printer.
4. spinal cord monitoring instrument according to claim 1 and 2, is characterized in that: on the front panel of described casing, be also provided with working station indicator and be connected with buzzer and with control circuit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320637111.4U CN203524665U (en) | 2013-10-16 | 2013-10-16 | Spinal cord monitor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320637111.4U CN203524665U (en) | 2013-10-16 | 2013-10-16 | Spinal cord monitor |
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| CN203524665U true CN203524665U (en) | 2014-04-09 |
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| CN201320637111.4U Expired - Fee Related CN203524665U (en) | 2013-10-16 | 2013-10-16 | Spinal cord monitor |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104436447A (en) * | 2014-10-11 | 2015-03-25 | 中国科学院苏州生物医学工程技术研究所 | Closed loop photostimulation system used for regulating and controlling functions of spinal cord |
| CN105640537A (en) * | 2016-03-30 | 2016-06-08 | 中国医学科学院生物医学工程研究所 | Portable spinal cord monitoring system based on wireless transmission technology |
| CN105769169A (en) * | 2016-04-01 | 2016-07-20 | 中国科学院电工研究所 | Spinal cord intra-operative monitoring device |
-
2013
- 2013-10-16 CN CN201320637111.4U patent/CN203524665U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104436447A (en) * | 2014-10-11 | 2015-03-25 | 中国科学院苏州生物医学工程技术研究所 | Closed loop photostimulation system used for regulating and controlling functions of spinal cord |
| CN104436447B (en) * | 2014-10-11 | 2017-01-11 | 中国科学院苏州生物医学工程技术研究所 | Closed loop photostimulation system used for regulating and controlling functions of spinal cord |
| CN105640537A (en) * | 2016-03-30 | 2016-06-08 | 中国医学科学院生物医学工程研究所 | Portable spinal cord monitoring system based on wireless transmission technology |
| CN105769169A (en) * | 2016-04-01 | 2016-07-20 | 中国科学院电工研究所 | Spinal cord intra-operative monitoring device |
| CN105769169B (en) * | 2016-04-01 | 2018-07-24 | 中国科学院电工研究所 | A kind of spinal cord intrtqoperative care device |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140409 Termination date: 20171016 |