CN106510700A - Brain wave super-slow encephalofluctuo monitoring device and method thereof - Google Patents
Brain wave super-slow encephalofluctuo monitoring device and method thereof Download PDFInfo
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- CN106510700A CN106510700A CN201611061619.9A CN201611061619A CN106510700A CN 106510700 A CN106510700 A CN 106510700A CN 201611061619 A CN201611061619 A CN 201611061619A CN 106510700 A CN106510700 A CN 106510700A
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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]
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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
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
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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
- A61B5/72—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
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention relates to medical detecting equipment and a detecting method, in particular to a brain wave super-slow encephalofluctuo monitoring device and a method thereof. A sensor is used for collecting brain wave signals and sending the brain wave signals to a signal collecting unit; a signal converting unit converts the received brain wave signals into analog signals and is sequentially connected with an amplifier, an analog-digital converter, a rectifier filter and a peak value detecting circuit; the peak value detecting circuit extract detected brain wave feature information and sends the detected brain wave feature information to a comparator; a comparison signal generator stores standard brain wave feature information and non-standard brain wave feature information and sends the standard brain wave feature information and the non-standard brain wave feature information to the comparator; the comparator is connected with a storage device and a displayer. Through brain wave monitoring, brain wave signals of a monitored person can be monitored in real time, the brain wave feature information is extracted and sequentially compared with the standard brain wave feature information and all kinds of pathological brain wave feature information, comparison results are displayed, an alarm is given when abnormal conditions happen, and which abnormal state is displayed.
Description
Technical field
The present invention relates to a kind of medical testing equipment and detection method, more particularly to Encephalofluctuograph supervising device and
Its method.
Background technology
Encephalofluctuography apparatus, are called BNT detector, can be new in diagnosis of nervous system diseases, detection curative effect, selection
The aspect such as medicine and therapeutic scheme plays an important role.Apply also in terms of clinical diagnosis：Headache, dizzy and dizziness, op parkinson's
Disease, neurasthenia, fatigue state detection, cerebrovascular disease, epilepsy, hypertension, to medical consultation provide objective indicator, analysis brain note
Recall function, retarded and dull-witted brain function analysis, the diagnosis of mental disorder and guiding treatment, detection craniocerebral injury brain function to become
Change, the curative effect of new drug to acting on nervous centralis and side effect carry out evaluating, the brain function monitoring of rehabilitation patient, children move more
Disease etc..
At present, also do not accomplish real-time monitoring for the brain wave of similar patient, just taken measures after morbidity,
The state of an illness is delayed to a certain extent, brings inconvenience to patient.As patient can produce the opposite sex in premorbid 7-10min
Brain wave, for this reason, it may be necessary to develop a kind of system of real-time monitoring brain wave, before morbidity can alert, just
Taken measures in patient is notified in time.
The content of the invention
The technical problem to be solved is for above-mentioned the deficiencies in the prior art, there is provided a kind of brain wave monitor
And its intelligent monitor system and method.
For achieving the above object, the technical scheme is that：
Encephalofluctuograph supervising device, including sensor, signal gathering unit, peak detection circuit and comparator；
Described sensor touches the corticocerebral zones of different of person under test respectively, for gathering person under test's cerebral cortex not
With the eeg signal in region, and eeg signal is sent to into signal gathering unit；
Wherein, an inventive point of the invention is：Above-mentioned sensor is wrapped up with air bag, filled with inertia in described air bag
Gas, such advantage are to prevent sensor electric discharge and cause signal insensitive, and inventor is tested many to improve sensitivity
Inert gas is planted, is tested with 5 kinds general, commercially available in the market of sensor, obtain the mixed proportion of optimum
For helium：Neon：The ratio of argon is 2:1:1, the ionic discharge of this ratio and cause sensor most sensitive.
Signal gathering unit is connected with signal conversion unit, and the eeg signal being connected to is converted into mould by signal conversion unit
Intend signal；
Signal conversion unit is sequentially connected amplifier, analog-digital converter, rectifier filter and peak detection circuit；Amplify
Device, analog-digital converter, rectifier filter are amplified successively to analog signal respectively, analog-to-digital conversion and rectifying and wave-filtering are processed and obtained
Intermediate digital signal, then sends intermediate digital signal to peak detection circuit；
Peak detection circuit is connected with comparator, and the tested brain wave characteristic information of peak detection circuit extraction is sent to and compares
Device；
Contrast signal generator is connected with comparator, and be stored with standard and off-gauge brain wave characteristic information of comparator is sent out
Give comparator；
Comparator connects memory and display, and comparator sends the result to memory and stored, and will be tied
Fruit is simultaneously sent to display.
Described comparator is also connected with alarm.
The monitoring method of the Encephalofluctuograph supervising device, comprises the following steps：
Step 1, sensor collection person under test's eeg signal, and it is sent to signals collecting；
Step 2, signals collecting obtain the eeg signal of be passed back, pass to signal conversion unit by eeg signal
Analog signal is converted into, amplifier, analog-digital converter, rectifier filter are amplified successively to analog signal respectively, modulus turns
Change and intermediate digital signal is obtained with rectifying and wave-filtering process, then intermediate digital signal is sent to peak detection circuit；
Step 3：Peak detection circuit is coupled to intermediate digital signal, obtains sandwich digit letter using negative peak detection method
2～2n adjacent the peak value number within 1 to the n cycle of modulated drive signal, it is electric by the tested brain of this 2～2n peak extraction
Wave characteristic information；This step is the inventive point of the present invention, does not all adopt in such a way to carry out signal coupling both at home and abroad at present,
The data for so obtaining are very accurate.
Step 4, the tested brain wave characteristic information of extraction are sent to comparator；
The standard of storage and off-gauge brain wave characteristic information are sent to comparator by contrast signal generator simultaneously, than
Tested brain wave characteristic information is compared with the standard and off-gauge brain wave characteristic information of storage successively compared with device, draw comparison
As a result, generate digital signal record and store, and data signal will be obtained and sent to display.
Tested brain wave characteristic information is compared by comparator first with the brain wave characteristic information of standard, draws tested brain electricity
When wave characteristic information is different from the standard brain wave characteristic information of storage, warning is sent, and passes to alarm, and will be tested
Brain wave characteristic information is compared with off-gauge brain wave characteristic information successively, judges which kind of abnormality belonged to.
Encephalofluctuograph supervising device and its method that the present invention is provided, can be treated with real-time monitoring by brain wave monitoring
The eeg signal of survey person, extract brain wave characteristic information and successively with standard brain wave characteristic information and all kinds of pathology brain waves
Characteristic information is compared, and comparison result is shown, when noting abnormalities, is sent warning, and is shown it is which kind of abnormal shape
State.
Description of the drawings
Fig. 1 is the structural representation of the present invention.
Specific embodiment
The invention will be further described with instantiation below in conjunction with the accompanying drawings.
As shown in figure 1, Encephalofluctuograph supervising device, including sensor, signal gathering unit, peak detection circuit and
Comparator；
Described sensor touches the corticocerebral zones of different of person under test respectively, for gathering person under test's cerebral cortex not
With the eeg signal in region, and eeg signal is sent to into signal gathering unit；
Signal gathering unit is connected with signal conversion unit, and the eeg signal being connected to is converted into mould by signal conversion unit
Intend signal；
Signal conversion unit is sequentially connected amplifier, analog-digital converter, rectifier filter and peak detection circuit；Amplify
Device, analog-digital converter, rectifier filter are amplified successively to analog signal respectively, analog-to-digital conversion and rectifying and wave-filtering are processed and obtained
Intermediate digital signal, then sends intermediate digital signal to peak detection circuit；
Peak detection circuit is connected with comparator, and the tested brain wave characteristic information of peak detection circuit extraction is sent to and compares
Device；
Contrast signal generator is connected with comparator, and be stored with standard and off-gauge brain wave characteristic information of comparator is sent out
Give comparator；
Comparator connects memory and display, and comparator sends the result to memory and stored, and will be tied
Fruit is simultaneously sent to display.
Described comparator is also connected with alarm.
This can connect the intelligent terminals such as other-end equipment, such as mobile phone.Or be connected with cloud terminal by network, enter
The storage and transmission of row data.
The monitoring method of the Encephalofluctuograph supervising device, comprises the following steps：
Step 1, sensor are worn on person under test's head, allow brain wave sensor to touch corticocerebral each area of person under test
Domain, then starts monitoring, sensor collection person under test's eeg signal, and is sent to signals collecting；
Step 2, signals collecting obtain the eeg signal of be passed back, pass to signal conversion unit by eeg signal
Analog signal is converted into, amplifier, analog-digital converter, rectifier filter are amplified successively to analog signal respectively, modulus turns
Change and intermediate digital signal is obtained with rectifying and wave-filtering process, then intermediate digital signal is sent to peak detection circuit；
Step 3：Peak detection circuit is coupled to intermediate digital signal, obtains sandwich digit letter using negative peak detection method
2～2n adjacent the peak value number within 1 to the n cycle of modulated drive signal, it is electric by the tested brain of this 2～2n peak extraction
Wave characteristic information；
Step 4, the tested brain wave characteristic information of extraction are sent to comparator；
The standard of storage and off-gauge brain wave characteristic information are sent to comparator by contrast signal generator simultaneously, than
Tested brain wave characteristic information is compared with the standard and off-gauge brain wave characteristic information of storage successively compared with device, draw comparison
As a result, generate digital signal record and store, and data signal will be obtained and sent to display.
Tested brain wave characteristic information is compared by comparator first with the brain wave characteristic information of standard, draws tested brain electricity
When wave characteristic information is different from the standard brain wave characteristic information of storage, warning is sent, and passes to alarm, premorbid leads to
Cross warning message and remind user, and tested brain wave characteristic information is compared with off-gauge brain wave characteristic information successively, sentence
Break and which kind of abnormality to belong to, be easy to targetedly take measures in time.
Claims (8)
1. Encephalofluctuograph supervising device, it is characterised in that：Including sensor, signal gathering unit, peak detection circuit and
Comparator.
2. Encephalofluctuograph supervising device according to claim 1, it is characterised in that
Described sensor touches the corticocerebral zones of different of person under test respectively, for gathering person under test's cerebral cortex not same district
The eeg signal in domain, and eeg signal is sent to into signal gathering unit.
3. Encephalofluctuograph supervising device according to claim 1, it is characterised in that
Signal gathering unit is connected with signal conversion unit, and the eeg signal being connected to is converted into simulation letter by signal conversion unit
Number.
4. Encephalofluctuograph supervising device according to claim 3, it is characterised in that
Signal conversion unit is sequentially connected amplifier, analog-digital converter, rectifier filter and peak detection circuit；Amplifier, mould
Number converter, rectifier filter are amplified successively to analog signal respectively, analog-to-digital conversion and rectifying and wave-filtering are processed and obtain centre
Data signal, then sends intermediate digital signal to peak detection circuit；
Peak detection circuit is connected with comparator, and the tested brain wave characteristic information of peak detection circuit extraction is sent to comparator；
Contrast signal generator is connected with comparator, and comparator is stored with standard and off-gauge brain wave characteristic information is sent to
Comparator；
Comparator connects memory and display, and comparator sends the result to memory and stored, and will obtain result simultaneously
Send to display.
5. Encephalofluctuograph supervising device according to claim 1, it is characterised in that described comparator is also connected with report
Alert device.
6. the monitoring method of the Encephalofluctuograph supervising device according to any one in claim 1-5, its feature exist
In comprising the following steps：
Step 1, sensor collection person under test's eeg signal, and it is sent to signals collecting；
Step 2, signals collecting obtain the eeg signal of be passed back, pass to signal conversion unit and convert eeg signal
For analog signal, amplifier, analog-digital converter, rectifier filter are amplified successively to analog signal respectively, analog-to-digital conversion and
Rectifying and wave-filtering process obtains intermediate digital signal, then intermediate digital signal is sent to peak detection circuit；
Step 3：Peak detection circuit couples tested brain wave characteristic information to intermediate digital signal；
Step 4, tested brain wave characteristic information are sent to comparator；
The standard of storage and off-gauge brain wave characteristic information are sent to comparator, comparator by contrast signal generator simultaneously
Tested brain wave characteristic information is compared with the standard and off-gauge brain wave characteristic information of storage successively, comparison knot is drawn
Really, generate digital signal record and store, and data signal will be obtained and sent to display.
7. the monitoring method of Encephalofluctuograph supervising device according to claim 6, it is characterised in that described step
3：Peak detection circuit is coupled to intermediate digital signal, is obtained intermediate digital signal using negative peak detection method and is driven in modulation
2～2n adjacent peak value in 1 to the n cycle of signal, by the tested brain wave characteristic information of this 2～2n peak extraction.
8. the monitoring method of Encephalofluctuograph supervising device according to claim 6, it is characterised in that comparator will be by
Survey brain wave characteristic information to compare with the standard brain wave characteristic information of storage first, draw tested brain wave characteristic information and deposit
When the standard brain wave characteristic information of storage is different, warning is sent, and passes to alarm, and by tested brain wave characteristic information
Compare with off-gauge brain wave characteristic information successively, judge which kind of abnormality belonged to.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611061619.9A CN106510700A (en) | 2016-11-28 | 2016-11-28 | Brain wave super-slow encephalofluctuo monitoring device and method thereof |
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| CN201611061619.9A CN106510700A (en) | 2016-11-28 | 2016-11-28 | Brain wave super-slow encephalofluctuo monitoring device and method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108670537A (en) * | 2018-06-06 | 2018-10-19 | 程瑶 | A kind of Neurology migraine rehabilitation medical device and application method |
| CN113252854A (en) * | 2021-07-02 | 2021-08-13 | 陕西中天盛隆智能科技有限公司 | Intelligent detecting and alarming system for ion concentration in liquid |
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| CN101627909A (en) * | 2009-05-05 | 2010-01-20 | 复旦大学附属儿科医院 | Digital amplitude-integrated cerebral function monitor |
| US20110295080A1 (en) * | 2010-05-30 | 2011-12-01 | Ralink Technology Corporation | Physiology Condition Detection Device and the System Thereof |
| CN105030234A (en) * | 2015-06-26 | 2015-11-11 | 迈德高武汉生物医学信息科技有限公司 | Brain wave monitor as well as intelligent monitoring system and method thereof |
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2016
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101627909A (en) * | 2009-05-05 | 2010-01-20 | 复旦大学附属儿科医院 | Digital amplitude-integrated cerebral function monitor |
| CN101596101A (en) * | 2009-07-13 | 2009-12-09 | 北京工业大学 | Judge the method for fatigue state according to EEG signals |
| US20110295080A1 (en) * | 2010-05-30 | 2011-12-01 | Ralink Technology Corporation | Physiology Condition Detection Device and the System Thereof |
| CN105030234A (en) * | 2015-06-26 | 2015-11-11 | 迈德高武汉生物医学信息科技有限公司 | Brain wave monitor as well as intelligent monitoring system and method thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108670537A (en) * | 2018-06-06 | 2018-10-19 | 程瑶 | A kind of Neurology migraine rehabilitation medical device and application method |
| CN113252854A (en) * | 2021-07-02 | 2021-08-13 | 陕西中天盛隆智能科技有限公司 | Intelligent detecting and alarming system for ion concentration in liquid |
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