CN109498003A - The device of Depth of Anesthesia - Google Patents
The device of Depth of Anesthesia Download PDFInfo
- Publication number
- CN109498003A CN109498003A CN201910007267.6A CN201910007267A CN109498003A CN 109498003 A CN109498003 A CN 109498003A CN 201910007267 A CN201910007267 A CN 201910007267A CN 109498003 A CN109498003 A CN 109498003A
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- CN
- China
- Prior art keywords
- anesthesia
- depth
- brain wave
- digital signal
- isolator
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4821—Determining level or depth of anaesthesia
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
Abstract
The invention discloses a kind of devices of Depth of Anesthesia, including acquiring brain waves component, preamplifier, two-stage amplifier, filter, analog-digital converter, digital signal processor, optocoupler signal isolator and display；Wherein, acquiring brain waves component is used for the brain wave data according to preset sample frequency acquisition patient；Preamplifier, two-stage amplifier and filter are for pre-processing above-mentioned brain wave data, analog-digital converter is used to pretreated brain wave data being converted to brain wave digital signal, digital signal processor is used to be based on above-mentioned brain wave digital signal, determines the depth of anesthesia of patient；Optocoupler signal isolator is used to carry out signal isolation to display.In the present invention, myoelectricity interference signal can effectively be filtered by above-mentioned filter, anti-electric knife ability is strong, and can effectively avoid external signal to the influence of testing result by above-mentioned optocoupler signal isolator, keeps testing result more stable, reliable.
Description
Technical field
The present invention relates to the field of medical instrument technology more particularly to a kind of devices of Depth of Anesthesia.
Background technique
With the development of medicine sensing and electronic technology, patient care technology is developed rapidly, all kinds of physiological parameters
Monitoring is also being increasing, and the application field of medical monitoring device is caused constantly to expand, and is served only for ICU (Intensive from initial
Care Unit, intensive care unit), CCU (Coronary heart disease Care Unit, coronary care unit (CCU)),
The departments such as operating room, to the monitoring for having spread over the contents such as Neurology, cranial surgery, orthopaedics, gynemetrics at present, by single
Section develops to more diseases, more departments, multidisciplinary application, while being also extended to middle and small hospital and community medical institutions by large hospital.
However, the device of existing Depth of Anesthesia is also easy in addition to being easy other than by electromyography signal interference by outside
The interference of signal, causes measurement result to be easy to appear deviation.
Summary of the invention
This application provides a kind of device of Depth of Anesthesia, the dress of Depth of Anesthesia in the prior art can solve
It sets, the technical issues of measurement result is easy to appear deviation.
Specifically, the present invention provides a kind of device of Depth of Anesthesia, which includes acquiring brain waves component, preposition
Amplifier, two-stage amplifier, filter, analog-digital converter, digital signal processor, optocoupler signal isolator and display；
The acquiring brain waves component is used for the brain wave data according to preset sample frequency acquisition patient；
The preamplifier, the two-stage amplifier and the filter for locating the brain wave data in advance
Reason, the analog-digital converter are used to pretreated brain wave data being converted to brain wave digital signal, the digital signal
Processor is used to be based on the brain wave digital signal, determines the depth of anesthesia of the patient；
The optocoupler signal isolator is set between the digital signal processor and the display, for described
Display carries out signal isolation.
Optionally, described device further includes power isolator, the dress of the power isolator and the Depth of Anesthesia
The power supply connection set.
Optionally, the power isolator includes DC power supply filtering unit, DC power supply management and isolation mode group, is isolated
DC/DC translation circuit and DC/DC voltage regulator circuit.
Optionally, the acquiring brain waves component is used for the brain wave of the sample frequency acquisition patient according to 2000 times/second
Data.
Optionally, the acquiring brain waves component is also used to carry out collected brain wave data according to frequency size
Classification.
Optionally, described device further includes memory, and the memory is used to store the configuration information of the patient.
The device of Depth of Anesthesia provided by the invention, including the amplification of acquiring brain waves component, preamplifier, second level
Device, filter, analog-digital converter, digital signal processor, optocoupler signal isolator and display；Wherein, acquiring brain waves group
Part is used for the brain wave data according to preset sample frequency acquisition patient；Preamplifier, two-stage amplifier and filter are used for
Above-mentioned brain wave data is pre-processed, analog-digital converter is used to pretreated brain wave data being converted to brain wave number
Word signal, digital signal processor are used to be based on above-mentioned brain wave digital signal, determine the depth of anesthesia of patient；Optocoupler signal every
It is set between digital signal processor and display from device, for carrying out signal isolation to display.In the present invention, pass through
Above-mentioned filter can effectively filter myoelectricity interference signal, and anti-electric knife ability is strong, and pass through above-mentioned optocoupler signal isolator energy
It is enough effectively to avoid external signal to the influence of testing result, keep testing result more stable, reliable.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those skilled in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the structural schematic diagram of the device of Depth of Anesthesia in the embodiment of the present invention；
Fig. 2 is the structural schematic diagram of power isolator in the embodiment of the present invention.
Specific embodiment
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described reality
Applying example is only a part of the embodiment of the present invention, and not all embodiments.Based on the embodiments of the present invention, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to Fig. 1, Fig. 1 is the structural schematic diagram of the device of Depth of Anesthesia in the embodiment of the present invention, the present invention is real
Apply in example, the device of above-mentioned Depth of Anesthesia include acquiring brain waves component 10, preamplifier 20, two-stage amplifier 30,
Filter 40, analog-digital converter 50, digital signal processor 60, optocoupler signal isolator 70 and display 80.
Specifically, acquiring brain waves component 10 is used for the brain wave data according to preset sample frequency acquisition patient.
Preamplifier 20, two-stage amplifier 30 and filter 40 are used for the brain wave acquired to acquiring brain waves component 10
Data are pre-processed, and analog-digital converter 50 is used to pretreated brain wave data being converted to brain wave digital signal, number
Word signal processor 60 is used to be based on the brain wave digital signal, determines the depth of anesthesia of patient.
Optocoupler signal isolator 70 is set between digital signal processor 60 and display 80, for display 80 into
Row signal isolation.Wherein, display 80 is used to show the depth of anesthesia of above-mentioned patient.
Wherein, the model of preamplifier 20 is preferably LM6134；The model of two-stage amplifier 30 is preferably AD8541；Filter
Wave device 40 uses analog filter+radio-frequency filter；The model of analog filter is preferably MAX7414；The type of radio-frequency filter
Number preferably CC2400；Analog-digital converter 50 uses high-precision digital-to-analogue converter, and model is preferably PLC16LC770；Digital signal
Processor 60 is DSP (Digital Signal Processing)；Optocoupler signal isolator 70 may include the first optocoupler signal every
From device and the second optocoupler signal isolator, wherein the first optocoupler signal isolator and the second optocoupler signal isolator are respectively positioned on number
Between word signal processor 60 and display 80, the model of the first optocoupler signal isolator is preferably HCPL0600, the second optocoupler
The model of signal isolator is preferably 6N137；The model of display 80 is preferably PK3188.
Wherein, acquiring brain waves component includes electrode for encephalograms piece, which can be according to the sampling of 2000 times/second
The brain wave data of frequency collection patient.
In addition, above-mentioned acquiring brain waves component 10 is also used to carry out collected brain wave data according to frequency size
Classification.For example, collected brain wave data is classified by 6Hz~12Hz, 11Hz-21Hz, 30Hz~43Hz.
Wherein, the device of above-mentioned Depth of Anesthesia be by conducting wire, can be the EEG signals of patient with per second
Classify after 2000 acquisition rate acquisitions by 6-12Hz, 11-21Hz, 30-43Hz.Then one-parameter depth of anesthesia is specialized in
Index can quick and precisely judge the state of patient.Meanwhile professional preamplifier, two-stage amplifier, filter, it can essence
Really processing each frequency band signals of EEG signals guarantee the depth of anesthesia situation of equipment precise positioning patient, encounter interference with shorter
The ability of recovery time.By ANFIS (Adaptive Network-based Fuzzy Inference System, adaptively
Neuro fuzzy systems) fuzzy logic classifier operation, analog signal is converted by digital signal, obtains Cerebral state index, is passed through
0-100 shows the anesthesia level of consciousness of general anesthesia patient, can accurate Depth of Anesthesia in real time.
I.e. in embodiments of the present invention, myoelectricity interference signal, anti-electric knife energy can effectively be filtered by above-mentioned filter 40
Power is strong, and can effectively avoid external signal to the influence of testing result by above-mentioned optocoupler signal isolator 70, makes to detect
As a result more stable, reliable.
Further, based on the above embodiment, in the present embodiment, the device of above-mentioned Depth of Anesthesia further include power supply every
From device, which connect with the power supply of the device of above-mentioned Depth of Anesthesia.
Wherein, above-mentioned power isolator include DC power supply filtering unit 101, DC power supply management and isolation mode group 102,
DC/DC translation circuit 103 and DC/DC voltage regulator circuit 104 is isolated.
Specifically, Fig. 2 is the structural schematic diagram of power isolator in the embodiment of the present invention referring to Fig. 2.Above-mentioned Monitored anesthesia
The device of depth exports DC5V/3A using medical private adapter as input power, and simultaneously using the 220V power supply of standard
Electric current, the output electric current charge after DC power supply filtering unit 101 to preset battery module.The electric current exported from lithium battery
Then after DC power supply management and isolation mode group 102 are handled, Xiang Shangshu monitor power supply.In addition, the electricity exported from lithium battery
After stream flows through DC power supply management and isolation mode group 102, DC/DC translation circuit 103 and DC/DC voltage regulator circuit 104 is isolated, also
For to above-mentioned acquiring brain waves component, preamplifier, two-stage amplifier, filter, analog-digital converter, Digital Signal Processing
The power supply of the functional modules such as device and optocoupler signal isolator.
In the present embodiment, by the way that above-mentioned power isolator is arranged, enable to the device of Depth of Anesthesia 300W's
It is still able to maintain under electric knife environment and stablizes, continues reliably to work.
In addition, above-mentioned anesthesia depth monitor further includes memory, which is used to store the configuration information of patient.
Wherein, which includes patient assessment's information and clinical data, saves the configuration information of patient, can effectively record trouble
The anesthesia information of person, the subsequent dosage for facilitating selection anaesthetic when being anaesthetized again.
In several embodiments provided herein, it should be understood that embodiment is only schematical, for example, institute
The division of module is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple moulds
Block or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point,
Shown or discussed mutual coupling, direct-coupling or communication connection can be through some interfaces, device or module
Indirect coupling or communication connection, can be electrical property, mechanical or other forms.
The module as illustrated by the separation member may or may not be physically separated, aobvious as module
The component shown may or may not be physical module, it can and it is in one place, or may be distributed over multiple
On network module.Some or all of the modules therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
It, can also be in addition, each functional module in each embodiment of the present invention can integrate in a processing module
It is that modules physically exist alone, can also be integrated in two or more modules in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
The above are to a kind of description of the device of Depth of Anesthesia provided by the present invention, for those skilled in the art
Member, thought according to an embodiment of the present invention, there will be changes in the specific implementation manner and application range, to sum up, this theory
Bright book content should not be construed as limiting the invention.
Claims (6)
1. a kind of device of Depth of Anesthesia, which is characterized in that described device includes acquiring brain waves component, preposition amplification
Device, two-stage amplifier, filter, analog-digital converter, digital signal processor, optocoupler signal isolator and display；
The acquiring brain waves component is used for the brain wave data according to preset sample frequency acquisition patient；
The preamplifier, the two-stage amplifier and the filter are used to pre-process the brain wave data,
The analog-digital converter is used to pretreated brain wave data being converted to brain wave digital signal, the Digital Signal Processing
Device is used to be based on the brain wave digital signal, determines the depth of anesthesia of the patient；
The optocoupler signal isolator is set between the digital signal processor and the display, for the display
Device carries out signal isolation.
2. the device of the Depth of Anesthesia as described in right wants 1, which is characterized in that described device further includes power isolator,
The power isolator is connect with the power supply of the device of the Depth of Anesthesia.
3. the device of the Depth of Anesthesia as described in right wants 2, which is characterized in that the power isolator includes DC power supply
DC power supply management and isolation mode group, DC/DC translation circuit and DC/DC voltage regulator circuit is isolated in filtering unit.
4. the device of the Depth of Anesthesia as described in right wants 1, which is characterized in that the acquiring brain waves component be used for according to
The brain wave data of the sample frequency acquisition patient of 2000 times/second.
5. the device of the Depth of Anesthesia as described in right wants 1, which is characterized in that the acquiring brain waves component be also used to by
Collected brain wave data is classified according to frequency size.
6. the device of the Depth of Anesthesia as described in right wants 1 to 5 any one, which is characterized in that described device further includes
Memory, the memory are used to store the configuration information of the patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910007267.6A CN109498003A (en) | 2019-01-04 | 2019-01-04 | The device of Depth of Anesthesia |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910007267.6A CN109498003A (en) | 2019-01-04 | 2019-01-04 | The device of Depth of Anesthesia |
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| Publication Number | Publication Date |
|---|---|
| CN109498003A true CN109498003A (en) | 2019-03-22 |
Family
ID=65756256
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910007267.6A Withdrawn CN109498003A (en) | 2019-01-04 | 2019-01-04 | The device of Depth of Anesthesia |
Country Status (1)
| Country | Link |
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| CN (1) | CN109498003A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110464341A (en) * | 2019-08-14 | 2019-11-19 | 深圳市格阳医疗科技有限公司 | A kind of anaesthesia deepness monitoring instrument EEG signals monitoring quality systems stabilisation |
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| WO2001074248A1 (en) * | 2000-03-31 | 2001-10-11 | Danmeter A/S | Monitoring auditory evoked potentials |
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| KR20120009610A (en) * | 2010-07-19 | 2012-02-02 | 주식회사 멕 아이씨에스 | Depth of anesthesia monitoring system and method using bio-signal analysis and learning process |
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| CN104545949A (en) * | 2014-09-29 | 2015-04-29 | 浙江普可医疗科技有限公司 | Electroencephalograph-based anesthesia depth monitoring method |
| CN206576850U (en) * | 2016-12-06 | 2017-10-24 | 成都迈高医疗器械有限公司 | A kind of anaesthesia deepness monitoring instrument |
| CN108652619A (en) * | 2018-05-19 | 2018-10-16 | 安徽邵氏华艾生物医疗电子科技有限公司 | A kind of restoration methods and system for preventing CSM modules under interference |
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2019
- 2019-01-04 CN CN201910007267.6A patent/CN109498003A/en not_active Withdrawn
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001074248A1 (en) * | 2000-03-31 | 2001-10-11 | Danmeter A/S | Monitoring auditory evoked potentials |
| CN101449974A (en) * | 2007-12-05 | 2009-06-10 | 李小俚 | Method for automatic real-time estimating anesthesia depth |
| KR20120009610A (en) * | 2010-07-19 | 2012-02-02 | 주식회사 멕 아이씨에스 | Depth of anesthesia monitoring system and method using bio-signal analysis and learning process |
| CN203263388U (en) * | 2013-05-09 | 2013-11-06 | 卞汉道 | Anesthesia depth monitor |
| CN203914870U (en) * | 2014-05-05 | 2014-11-05 | 深圳市太极医疗科技有限公司 | A kind of anaesthesia depth detection instrument |
| CN104545949A (en) * | 2014-09-29 | 2015-04-29 | 浙江普可医疗科技有限公司 | Electroencephalograph-based anesthesia depth monitoring method |
| CN206576850U (en) * | 2016-12-06 | 2017-10-24 | 成都迈高医疗器械有限公司 | A kind of anaesthesia deepness monitoring instrument |
| CN108652619A (en) * | 2018-05-19 | 2018-10-16 | 安徽邵氏华艾生物医疗电子科技有限公司 | A kind of restoration methods and system for preventing CSM modules under interference |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110464341A (en) * | 2019-08-14 | 2019-11-19 | 深圳市格阳医疗科技有限公司 | A kind of anaesthesia deepness monitoring instrument EEG signals monitoring quality systems stabilisation |
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Application publication date: 20190322 |