CN113317802A - Information early warning system and method based on brain waves - Google Patents
Information early warning system and method based on brain waves Download PDFInfo
- Publication number
- CN113317802A CN113317802A CN202110561056.4A CN202110561056A CN113317802A CN 113317802 A CN113317802 A CN 113317802A CN 202110561056 A CN202110561056 A CN 202110561056A CN 113317802 A CN113317802 A CN 113317802A
- Authority
- CN
- China
- Prior art keywords
- brain wave
- early warning
- information
- data
- brain
- Prior art date
- 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.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Physiology (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses an information early warning system and method based on brain waves, and relates to the technical field of brain waves. The early warning system of the invention comprises: the brain wave early warning system comprises a brain wave information collector, a brain wave early warning information database, an automatic searching and comparing module and an early warning output module, wherein the brain wave information collector comprises a brain wave information sensor and a data converter, and the brain wave information sensor is a radio sensor specially used for collecting brain wave signal wave bands. According to the invention, through the brain wave information collector, the brain wave early warning information database, the automatic search comparison module and the early warning output module, the brain waves of the personnel can be collected, and then the data in the brain wave early warning information database is compared through the automatic search comparison module.
Description
Technical Field
The invention belongs to the technical field of brain waves, and particularly relates to an information early warning system and method based on brain waves.
Background
Brain waves are a method of recording brain activity using electrophysiological indicators, in which the postsynaptic potentials generated synchronously by a large number of neurons sum up during brain activity. It records the electric wave change of brain activity, which is the overall reflection of the electrophysiological activity of brain nerve cells on the surface of cerebral cortex or scalp;
the brain wave is a basic theoretical research of brain science, the brain wave monitoring is widely applied to clinical practice application of the brain wave monitoring, and in the existing system, the emotion of a user can be monitored through the fluctuation of the brain wave, but the emotion of the user cannot be well and accurately predicted, and an error exists.
Disclosure of Invention
The invention aims to provide an information early warning system and method based on brain waves, which aim to solve the problem that the existing system cannot accurately predict the emotion of a user and has errors.
In order to solve the technical problems, the invention is realized by the following technical scheme: an information early warning system based on brain waves, the early warning system comprises: the brain wave early warning system comprises a brain wave information collector, a brain wave early warning information database, an automatic searching and comparing module and an early warning output module.
Further preferred is: the brain wave information collector consists of a brain wave information sensor and a data converter;
the brain wave information sensor is a radio sensor for collecting brain wave signal wave bands and is used for translating and converting the collected brain wave band information into specially marked data information through the data converter;
the data information is machine language, various language characters, specific symbols or small icons.
Further preferred is: the brain wave early warning information database is used for storing various brain wave data databases.
Further preferred is: the brain wave searching and comparing module is used for carrying out data comparison on massive brain wave data searched by the brain wave information collector, and matching and screening the instant information and the brain wave early warning information data at the speed of 4G or 5G.
Further preferred is: the early warning output module is used for outputting the data after the brain wave searching and comparing module is used for fuzzy early warning output and accurate early warning output.
An early warning method of an information early warning device based on brain waves comprises the following steps:
collecting the searched brain wave data through a brain wave information collector, and recording the brain wave data of each item as an original brain wave data sheet;
storing a database of standard wave band information of various brain waves needing early warning into a brain wave early warning information database;
matching and screening the original brain wave data sheet searched by the brain wave information collector and the brain wave early warning information database at the speed of 4G or 5G through an automatic search comparison module;
and outputting the screened result through the early warning output module in a 4G or 5G or Bluetooth direct connection local area network offline direct connection mode to the data obtained by the brain wave searching and comparing module.
The invention has the following beneficial effects:
according to the invention, through the brain wave information collector, the brain wave early warning information database, the automatic search comparison module and the early warning output module, the brain waves of the personnel can be collected, and then the data in the brain wave early warning information database is compared through the automatic search comparison module.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
referring to fig. 1, an information early warning system based on brain waves includes: the brain wave early warning system comprises a brain wave information collector, a brain wave early warning information database, an automatic searching and comparing module and an early warning output module.
The brain wave information collector consists of a brain wave information sensor and a data converter;
the brain wave information sensor is a radio sensor specially used for collecting brain wave signal wave bands;
and translating the acquired electroencephalogram wave band information into specially marked data information through the data converter, wherein the data information is machine language, various language characters, specific symbols or small icons and the like.
The brain wave early warning information database is used for storing various brain wave data and covering a database of standard wave band information of various brain waves needing early warning.
The brain wave searching and comparing module is used for carrying out data comparison on massive brain wave data searched by the brain wave information collector, and matching and screening the instant information and the brain wave early warning information data at the speed of 4G or 5G.
The early warning output module is used for outputting the data after the brain wave searching and comparing module is used for dividing the data into a fuzzy type and an accurate type;
the fuzzy model is simply output by a red, yellow and green indicator lamp; the accurate type is the specific criminal information of early warning.
Example 2:
on the basis of the above embodiment 1, the warning method is disclosed as follows:
the method comprises the following steps:
the first step is as follows: collecting the searched brain wave data through the brain wave information collector, and recording the brain wave data of each item as an original brain wave data sheet;
the second step is that: and storing a database of standard wave band information of various brain waves needing early warning into a brain wave early warning information database.
The third step: and matching and screening the original brain wave data sheet searched by the brain wave information collector and the brain wave early warning information database at the speed of 4G or 5G through an automatic search comparison module.
The fourth step: and outputting the screened result through the early warning output module in a 4G or 5G or Bluetooth direct connection local area network offline direct connection mode to the data obtained by the brain wave searching and comparing module.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer 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.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. An information early warning system based on brain waves is characterized in that the early warning system comprises: the brain wave early warning system comprises a brain wave information collector, a brain wave early warning information database, an automatic searching and comparing module and an early warning output module.
2. The brain wave-based information early warning system according to claim 1, wherein: the brain wave information collector consists of a brain wave information sensor and a data converter;
the brain wave information sensor is a radio sensor for collecting brain wave signal wave bands and is used for translating and converting the collected brain wave band information into specially marked data information through the data converter;
the data information is machine language, various language characters, specific symbols or small icons.
3. The brain wave-based information early warning system according to claim 1, wherein: the brain wave early warning information database is used for storing various brain wave data.
4. The brain wave-based information early warning system according to claim 1, wherein: the brain wave searching and comparing module is used for carrying out data comparison on massive brain wave data searched by the brain wave information collector, and matching and screening the instant information and the brain wave early warning information data at the speed of 4G or 5G.
5. The brain wave-based information early warning system according to claim 1, wherein: the early warning output module is used for outputting the data after the brain wave searching and comparing module is used for fuzzy early warning output and accurate early warning output.
6. An early warning method of an information early warning device based on brain waves is characterized by comprising the following steps:
collecting the searched brain wave data through a brain wave information collector, and recording the brain wave data of each item as an original brain wave data sheet;
storing a database of standard wave band information of various brain waves needing early warning into a brain wave early warning information database;
matching and screening the original brain wave data sheet searched by the brain wave information collector and the brain wave early warning information database at the speed of 5G through an automatic search comparison module;
and outputting the screened result through the early warning output module in a 4G or 5G or Bluetooth direct connection local area network offline direct connection mode to the data obtained by the brain wave searching and comparing module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110561056.4A CN113317802A (en) | 2021-05-21 | 2021-05-21 | Information early warning system and method based on brain waves |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110561056.4A CN113317802A (en) | 2021-05-21 | 2021-05-21 | Information early warning system and method based on brain waves |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113317802A true CN113317802A (en) | 2021-08-31 |
Family
ID=77416472
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110561056.4A Pending CN113317802A (en) | 2021-05-21 | 2021-05-21 | Information early warning system and method based on brain waves |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113317802A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070255122A1 (en) * | 2004-08-30 | 2007-11-01 | G.R. Enlightenment Ltd. | Device and Method for Measuring Physiological Parameters |
| CN107080545A (en) * | 2017-03-23 | 2017-08-22 | 兰州大学 | A kind of lie detection system based on brain electricity |
| CN110826527A (en) * | 2019-11-20 | 2020-02-21 | 南京邮电大学 | Electroencephalogram negative emotion recognition method and system based on aggressive behavior prediction |
| CN110916653A (en) * | 2019-11-01 | 2020-03-27 | 天津大学 | Early warning device for reminding epileptic patient in head-wearing manner |
-
2021
- 2021-05-21 CN CN202110561056.4A patent/CN113317802A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070255122A1 (en) * | 2004-08-30 | 2007-11-01 | G.R. Enlightenment Ltd. | Device and Method for Measuring Physiological Parameters |
| CN107080545A (en) * | 2017-03-23 | 2017-08-22 | 兰州大学 | A kind of lie detection system based on brain electricity |
| CN110916653A (en) * | 2019-11-01 | 2020-03-27 | 天津大学 | Early warning device for reminding epileptic patient in head-wearing manner |
| CN110826527A (en) * | 2019-11-20 | 2020-02-21 | 南京邮电大学 | Electroencephalogram negative emotion recognition method and system based on aggressive behavior prediction |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guo et al. | Epileptic seizure detection by cascading isolation forest-based anomaly screening and EasyEnsemble | |
| CN108415789B (en) | Node fault prediction system and method for large-scale hybrid heterogeneous storage system | |
| CN100504846C (en) | Electrical energy power quality disturbance automatic identification method and system based on information fusion | |
| CN104970789A (en) | Electrocardiogram classification method and system | |
| US20210064917A1 (en) | Method for measuring airport flight waveform similarity by spectral clustering based on trend distance | |
| CN103163420A (en) | Intelligent power transformer on-line state judgment method | |
| CN116148679A (en) | Battery health state prediction method and related device | |
| Jin et al. | Classification of normal and abnormal ECG records using lead convolutional neural network and rule inference | |
| CN109300483A (en) | A kind of intelligent audio abnormal sound detection method | |
| CN111150393A (en) | Electroencephalogram epilepsy spike discharge joint detection method based on LSTM multichannel | |
| CN114580666A (en) | Multi-mode fusion motor intelligent maintenance system | |
| CN107679089A (en) | A kind of cleaning method for electric power sensing data, device and system | |
| CN106874694A (en) | A kind of intelligent diagnosis system towards epileptic EEG Signal identification | |
| CN116681186B (en) | Power quality analysis method and device based on intelligent terminal | |
| CN117421994A (en) | Edge application health monitoring method and system | |
| CN112986870A (en) | Distributed power transformer winding state monitoring method and system based on vibration method | |
| CN117639270A (en) | Transformer substation monitoring and operation and maintenance system based on digital twinning | |
| CN113317802A (en) | Information early warning system and method based on brain waves | |
| CN107843779A (en) | A kind of Power System Fault Record classifying and analyzing method and system based on fuzzy clustering | |
| CN117828448A (en) | Internal partial discharge temperature anomaly identification system for primary and secondary fusion ring main unit | |
| CN116448234A (en) | Power transformer running state voiceprint monitoring method and system | |
| CN109712681A (en) | A kind of vehicle-mounted analysis system based on sign big data | |
| CN114710398A (en) | Abnormal accident alarm device for information system | |
| CN115130748A (en) | Building electrical system fault diagnosis method | |
| CN113688910A (en) | Power grid operation multi-source information fusion method based on k-BP algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |