CN109567797B - Epilepsy early warning method and device and computer readable storage medium - Google Patents
Epilepsy early warning method and device and computer readable storage medium Download PDFInfo
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- CN109567797B CN109567797B CN201910094742.8A CN201910094742A CN109567797B CN 109567797 B CN109567797 B CN 109567797B CN 201910094742 A CN201910094742 A CN 201910094742A CN 109567797 B CN109567797 B CN 109567797B
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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
- A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy
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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
- A61B5/7253—Details of waveform analysis characterised by using transforms
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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
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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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
Abstract
The invention discloses an epilepsy early warning method, which comprises the following steps: acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area; the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area; comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger; and when determining that the user has the epileptic seizure hidden danger, sending alarm prompt information to a preset terminal corresponding to the user. The invention also discloses an epilepsy early warning device and a computer readable storage medium. The method and the device can determine whether the epileptic seizure hidden danger exists at present according to the electroencephalogram data of the user, so that accurate early warning before the epileptic seizure is realized, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of electroencephalogram, in particular to an epilepsy early warning method and device and a computer readable storage medium.
Background
Epilepsy is a common, frequently occurring chronic neurological disorder. The second most stubborn disease of cerebrovascular disease, epileptic seizure has three characteristics of sudden, temporary and recurrent, and brings great pain to the body of a patient. Therefore, before the epileptic seizure, measures are timely acquired to suppress or relieve the pain caused by the epileptic seizure, which becomes an invariant expectation of vast epileptic patients, and all the measures are the accurate epileptic seizure early warning.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an epilepsy early warning method, an epilepsy early warning device and a computer readable storage medium, and aims to solve the technical problem that the early warning is difficult before the epileptic seizure of a patient at present.
In order to achieve the above object, the present invention provides an epilepsy early warning method, which includes the following steps:
acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area;
the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area;
comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
and when determining that the user has the epileptic seizure hidden danger, sending alarm prompt information to a preset terminal corresponding to the user.
In an embodiment, the step of comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has a seizure risk includes:
sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
calculating a first wavelet entropy in the preset time window according to the first sampling signal;
and comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger.
In an embodiment, the step of comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has a seizure risk includes:
calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has seizure hidden danger.
In an embodiment, after the step of sending the warning prompt message to the preset terminal corresponding to the relative of the user, the epilepsy early warning method further includes:
and updating the preset electroencephalogram data based on the first electroencephalogram data when the epileptic seizure confirmation information is received.
In one embodiment, the step of updating the preset electroencephalogram data based on the first electroencephalogram data includes:
acquiring a first weight value corresponding to the first wavelet entropy and a second weight value corresponding to the preset wavelet entropy;
and calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy.
In an embodiment, the step of obtaining a first weight value corresponding to the first wavelet entropy and a second weight value corresponding to the preset wavelet entropy includes:
acquiring the epileptic seizure frequency corresponding to the preset wavelet entropy, and calculating the first weight value and the second weight value based on the epileptic seizure frequency.
In an embodiment, before the step of acquiring the electroencephalogram signal of the user acquired by the electroencephalogram acquisition device and storing the acquired electroencephalogram signal in a preset storage area, the epilepsy early warning method further includes:
acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
when receiving epileptic seizure information, acquiring epileptic seizure moments corresponding to the epileptic seizure information;
acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and determining the preset electroencephalogram data based on the second electroencephalogram data.
In one embodiment, the step of determining the preset electroencephalogram data based on the second electroencephalogram data includes:
sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
and calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
In addition, to achieve the above object, the present invention further provides an epilepsy early warning apparatus, including: a memory, a processor, and an epilepsy early warning program stored on the memory and executable on the processor, wherein the epilepsy early warning program when executed by the processor implements the steps of the epilepsy early warning method of any one of the above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having an epilepsy early warning program stored thereon, where the epilepsy early warning program, when executed by a processor, implements the steps of the epilepsy early warning method according to any one of the above.
The invention can determine whether the epileptic seizure hidden danger exists at present according to the electroencephalogram data of the user by acquiring the first electroencephalogram of the user acquired by an electroencephalogram acquisition device in real time, storing the acquired first electroencephalogram into a preset storage area, then regularly acquiring the first electroencephalogram data acquired by the electroencephalogram acquisition device within the preset duration before the present moment based on the first electroencephalogram stored in the preset storage area, then comparing the first electroencephalogram data with the preset electroencephalogram data to determine whether the epileptic seizure hidden danger exists in the user, wherein the preset electroencephalogram data is the electroencephalogram data within the preset duration before the epileptic seizure of the user, then when the epileptic seizure hidden danger exists in the user, sending alarm prompt information to a preset terminal corresponding to the user, and sending alarm prompt information when the epileptic seizure hidden danger exists, and then realize accurate early warning before the epileptic seizure to make this epileptic patient's relatives and medical personnel in time know this epileptic patient and have the hidden danger of epileptic seizure at present, and then be convenient for carry on subsequent treatment etc. and improved user experience.
Drawings
Fig. 1 is a schematic structural diagram of an epilepsy early warning apparatus in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an epilepsy warning method according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an epilepsy early warning apparatus in a hardware operating environment according to an embodiment of the present invention.
The epilepsy early warning device in the embodiment of the invention can be a PC, and can also be a mobile terminal device with a display function, such as a smart phone, a tablet computer, an electronic book reader, an MP3(Moving Picture Experts Group Audio Layer III, dynamic video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, dynamic video Experts compression standard Audio Layer 4) player, a portable computer and the like.
As shown in fig. 1, the epilepsy early warning apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the epilepsy early warning device may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Certainly, the epilepsy early warning device may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
It will be understood by those skilled in the art that the configuration of the epilepsy warning apparatus shown in fig. 1 does not constitute a limitation of the epilepsy warning apparatus, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an epilepsy warning program.
In the epilepsy early warning apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and processor 1001 may be used to invoke an epilepsy early warning program stored in memory 1005.
In this embodiment, the epilepsy early warning apparatus includes: a memory 1005, a processor 1001, and an epilepsy early warning program stored in the memory 1005 and executable on the processor 1001, wherein the processor 1001, when calling the epilepsy early warning program stored in the memory 1005, performs the following operations:
acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area;
the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area;
comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
and when determining that the user has the epileptic seizure hidden danger, sending alarm prompt information to a preset terminal corresponding to the user.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
calculating a first wavelet entropy in the preset time window according to the first sampling signal;
and comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has seizure hidden danger.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
and updating the preset electroencephalogram data based on the first electroencephalogram data when the epileptic seizure confirmation information is received.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
acquiring a first weight value corresponding to the first wavelet entropy and a second weight value corresponding to the preset wavelet entropy;
and calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
acquiring the epileptic seizure frequency corresponding to the preset wavelet entropy, and calculating the first weight value and the second weight value based on the epileptic seizure frequency.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
when receiving epileptic seizure information, acquiring epileptic seizure moments corresponding to the epileptic seizure information;
acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and determining the preset electroencephalogram data based on the second electroencephalogram data.
Further, processor 1001 may invoke an epilepsy early warning program stored in memory 1005, and also perform the following operations:
sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
and calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
The invention also provides an epilepsy early warning method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the epilepsy early warning method of the invention.
In this embodiment, the epilepsy early warning method includes:
the method comprises the steps of S100, acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal into a preset storage area;
in this embodiment, when an epileptic wears the electroencephalogram acquisition device, a first electroencephalogram signal of a user acquired by the electroencephalogram acquisition device is acquired in real time, and the acquired first electroencephalogram signal is stored in a preset storage area.
The electroencephalogram acquisition device can be provided with an acquisition instruction trigger button/key, when a nursing staff or an epileptic wears the electroencephalogram acquisition device, the acquisition instruction can be triggered through the button/key, and when the acquisition instruction is received, a first electroencephalogram signal of a user acquired by the electroencephalogram acquisition device is acquired in real time.
Step S200, acquiring first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time length before the current time in a fixed time mode based on the first electroencephalogram signals stored in the preset storage area;
in this embodiment, based on the first electroencephalogram stored in the preset storage area, the electroencephalogram data acquired by the electroencephalogram acquisition device, that is, the first electroencephalogram stored in the preset storage area, the electroencephalogram in the preset duration before the current time is acquired at regular time, and the acquired electroencephalogram is used as the first electroencephalogram data.
The time interval acquired at regular time can be reasonably set, and the time interval is greater than or equal to the preset time length which can be reasonably set. Specifically, the first electroencephalogram data collected by the electroencephalogram collection device can be obtained in a preset time before the current time in a preset storage area at regular time when the duration of the first electroencephalogram signal collected by the electroencephalogram collection device in real time by the user is longer than the preset time.
Step S300, comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
in this embodiment, when first electroencephalogram data is acquired, the first electroencephalogram data is compared with preset electroencephalogram data to determine whether the user has a seizure risk, specifically, wavelet transformation processing may be performed on the first electroencephalogram signal to obtain a wavelet entropy corresponding to the first electroencephalogram data, and the wavelet entropy corresponding to the first electroencephalogram data is compared with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has the seizure risk.
And S400, when the user is determined to have the epileptic seizure hidden danger, sending alarm prompt information to a preset terminal corresponding to the relatives of the user.
In this embodiment, when it is determined that there is a seizure hidden danger in this user, send alarm prompt information to the preset terminal that the user corresponds, specifically, the preset terminal includes medical personnel's mobile terminal and the mobile terminal of this user's relatives, so that this epileptic patient's relatives and medical personnel can in time know that this epileptic patient currently has a seizure hidden danger, and then be convenient for carry out subsequent treatment and the like.
The epilepsy early warning method provided by this embodiment is implemented by acquiring a first electroencephalogram of a user acquired by an electroencephalogram acquisition device in real time, storing the acquired first electroencephalogram into a preset storage area, acquiring first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before a current moment in a fixed time based on the first electroencephalogram stored in the preset storage area, and then comparing the first electroencephalogram data with the preset electroencephalogram data to determine whether the user has a hidden danger of an epilepsy attack, wherein the preset electroencephalogram data is the electroencephalogram data within the preset time before the user's attack, and then sending an alarm prompt message to a preset terminal corresponding to the user when the user is determined to have the hidden danger of an epilepsy attack, so as to determine whether the hidden danger of an epilepsy attack exists at present according to the electroencephalogram data of the user, and send warning prompt message when having seizure hidden danger, and then realize accurate early warning before the seizure to make this epileptic's relatives and medical personnel in time know this epileptic and have seizure hidden danger at present, and then be convenient for carry on subsequent treatment etc. and improved user experience.
Based on the first embodiment, a second embodiment of the epilepsy warning method of the present invention is provided, in this embodiment, step S300 includes:
step S310, sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
step S320, calculating a first wavelet entropy in the preset time window according to the first sampling signal;
step S330, comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger.
In this embodiment, the first electroencephalogram data is sampled according to a preset time window to obtain a first sampling signal, a first wavelet entropy in the preset time window is calculated based on the first sampling signal by adopting an existing calculation method, and the wavelet entropy is compared with the preset first wavelet entropy to determine whether the user has the seizure hidden danger, so that whether the user has the seizure hidden danger is accurately determined.
The preset wavelet entropy may be set reasonably, for example, before performing the early warning operation, the preset wavelet entropy is obtained by processing the electroencephalogram signal of the user before the epileptic seizure, and the preset time window may be equal to the preset time duration, or the preset time window is smaller than the preset time duration, or the preset time duration is an integral multiple of the preset time window.
Further, in an embodiment, after step S400, the epilepsy early warning method further includes:
and S500, updating the preset electroencephalogram data based on the first electroencephalogram data when the seizure confirmation information is received.
In this embodiment, if the user has an epileptic seizure after sending the alarm prompt information, the medical staff or the relative may feed back the epileptic seizure confirmation information, and when receiving the epileptic seizure confirmation information, update the preset electroencephalogram data based on the first electroencephalogram data, specifically, update the preset wavelet entropy according to the first wavelet entropy, that is, calculate a target wavelet entropy according to the first wavelet entropy and the preset wavelet entropy, and use the target wavelet entropy as the preset wavelet entropy.
According to the epilepsy early warning method provided by the embodiment, the first electroencephalogram data are sampled based on the preset time window to obtain the first sampling signal, then the first wavelet entropy in the preset time window is calculated according to the first sampling signal, then the first wavelet entropy is compared with the preset wavelet entropy corresponding to the preset electroencephalogram data, so that whether the user has the hidden danger of the epilepsy attack or not is determined, whether the current user has the hidden danger of the epilepsy attack or not can be accurately determined according to the first wavelet entropy, the early warning accuracy before the epilepsy attack is further improved, and the user experience is further improved.
Based on the second embodiment, a third embodiment of the epilepsy early warning method according to the present invention is provided, in this embodiment, step S330 includes:
step S331, calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
step S332, determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has a seizure hidden danger.
In this embodiment, when the first wavelet entropy is obtained, a difference value between the first wavelet entropy and a preset wavelet entropy is calculated, where the difference value is an absolute value of a difference between the first wavelet entropy and the preset wavelet entropy, and it is determined whether the difference value is smaller than the preset difference value, if so, it is determined that the user has a seizure hidden danger, and then it is determined whether the user currently has the seizure hidden danger according to the difference value between the first wavelet entropy and the preset wavelet entropy, so that the accuracy of early warning before the seizure is improved, and the user experience is further improved.
Wherein, it can rationally set up to predetermine the difference.
According to the epilepsy early warning method provided by the embodiment, the difference value between the first wavelet entropy and the preset wavelet entropy is calculated, and then whether the difference value is smaller than the preset difference value or not is determined, wherein when the difference value is smaller than the preset difference value, whether the user has the hidden danger of the epilepsy attack is determined, whether the current hidden danger of the epilepsy attack exists or not can be determined according to the difference value between the first wavelet entropy and the preset wavelet entropy, the early warning accuracy before the epilepsy attack is improved, and the user experience is further improved.
Based on the second embodiment, a fourth embodiment of the epilepsy warning method of the present invention is provided, in this embodiment, step S500 includes:
step S510, obtaining a first weight value corresponding to the first wavelet entropy and a second weight value corresponding to the preset wavelet entropy;
step S520, calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value, and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy.
In this embodiment, if after the alarm prompt message is sent, the epileptic seizure of the user may be fed back by the medical staff or the relatives, and when the epileptic seizure confirmation message is received, the first weight value corresponding to the first wavelet entropy and the second weight value corresponding to the preset wavelet entropy are obtained, where the first weight value and the second weight value may be reasonably set, for example, both the first weight value and the second weight value may be set to 0.5, or the first weight value and the second weight value may be calculated according to the number of seizures corresponding to the preset wavelet entropy.
When a first weight value and a second weight value are obtained, a target wavelet entropy is obtained through calculation based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and the target wavelet entropy is set as the preset wavelet entropy, specifically, the target wavelet entropy is the first weight value and the first wavelet entropy plus the second weight value and the preset wavelet entropy.
The preset wavelet entropy is reset according to the first wavelet entropy, so that the accuracy of the preset wavelet entropy can be improved, and the accuracy of follow-up epilepsy early warning is further improved.
Further, in an embodiment, the step S510 includes: acquiring the epileptic seizure frequency corresponding to the preset wavelet entropy, and calculating the first weight value and the second weight value based on the epileptic seizure frequency.
Specifically, the first weight value is 1/(seizure frequency +1), and the second weight value is seizure frequency/(seizure frequency +1), so that the first weight value and the second weight value can be reasonably set according to the seizure frequency, the preset wavelet entropy is recalculated according to the first weight value and the second weight value, the accuracy of the preset wavelet entropy is improved, the accuracy of subsequent epilepsy early warning is improved, and the user experience is further improved.
According to the epilepsy early warning method provided by the embodiment, the target wavelet entropy is obtained by obtaining the first weight value corresponding to the first wavelet entropy and the second weight value corresponding to the preset wavelet entropy, and then calculating based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and the target wavelet entropy is set as the preset wavelet entropy, so that the preset wavelet entropy is reset through the first wavelet entropy, the accuracy of the preset wavelet entropy can be improved, the accuracy of subsequent epilepsy early warning is further improved, and the user experience is further improved.
Based on the first embodiment, a fifth embodiment of the epilepsy early warning method according to the present invention is provided, in this embodiment, before step S100, the epilepsy early warning method includes:
step S600, acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
step S700, when the epileptic seizure information is received, acquiring the epileptic seizure moment corresponding to the epileptic seizure information;
step S800, acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and S900, determining the preset electroencephalogram data based on the second electroencephalogram data.
In this embodiment, when the epileptic wears the electroencephalogram acquisition device, for example, the epileptic wears the electroencephalogram acquisition device for the first time, acquires the second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and stores the acquired second electroencephalogram signal to a preset storage area.
When the epileptic seizure occurs, the relative or medical staff corresponding to the epileptic seizure can input or feed back the current epileptic seizure information, which may include the epileptic seizure moment. When the epileptic seizure information is received, acquiring epileptic seizure moments corresponding to the epileptic seizure information, then acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device in preset duration before the epileptic seizure moments based on second electroencephalogram signals stored in the preset storage area, and specifically acquiring electroencephalogram signals in the preset duration before the epileptic seizure moments as the second electroencephalogram data from the second electroencephalogram signals stored in the preset storage area. And when second electroencephalogram data are acquired, determining the preset electroencephalogram data according to the second electroencephalogram data.
In the epilepsy early warning method provided by this embodiment, the second electroencephalogram of the user acquired by the electroencephalogram acquisition device is acquired in real time, the acquired second electroencephalogram is stored in the preset storage area, then the epileptic seizure moment corresponding to the epileptic seizure information is acquired when the epileptic seizure information is received, then the second electroencephalogram acquired by the electroencephalogram acquisition device within the preset duration before the epileptic seizure moment is acquired based on the second electroencephalogram stored in the preset storage area, then the preset electroencephalogram data is determined based on the second electroencephalogram data, so that the preset electroencephalogram data is set according to the electroencephalogram data before the epileptic seizure of the user, and further the accurate preset electroencephalogram data can be obtained, and compared with the electroencephalogram data before the epileptic seizure of the follow-up epileptic patient and the preset electroencephalogram data, whether the user has the hidden danger of the epileptic seizure is accurately determined, and the user experience is further improved.
Based on the fifth embodiment, a sixth embodiment of the epilepsy warning method according to the present invention is provided, in this embodiment, step S900 includes:
s100, sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
step S200, calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
In this embodiment, the preset electroencephalogram data includes a preset wavelet entropy, when the second electroencephalogram data is acquired, the second electroencephalogram data is sampled according to a preset time window to obtain a second sampling signal, the second wavelet entropy in the preset time window is calculated based on the second sampling signal by adopting an existing calculation mode, the second wavelet entropy is set to be the preset wavelet entropy, the preset electroencephalogram data and the preset wavelet entropy can be accurately set, the comparison between the preset wavelet entropy and the electroencephalogram data before the epileptic seizure of the epileptic patient is carried out, whether the epileptic seizure hidden danger exists in the user is accurately determined, and the user experience is further improved.
According to the epilepsy early warning method provided by the embodiment, the second electroencephalogram data are sampled based on the preset time window to obtain a second sampling signal, then the second wavelet entropy in the preset time window is calculated according to the second sampling signal, the second wavelet entropy is set to be the preset wavelet entropy, the preset electroencephalogram data and the preset wavelet entropy can be accurately set, the comparison with the electroencephalogram data before the follow-up epilepsy attack of the epileptic patient and the preset wavelet entropy is carried out, whether the user has the hidden danger of the epilepsy attack or not is accurately determined, and the user experience is further improved.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores an epilepsy early warning program, and when executed by a processor, the epilepsy early warning program implements the following operations:
acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area;
the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area;
comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
and when determining that the user has the epileptic seizure hidden danger, sending alarm prompt information to a preset terminal corresponding to the user.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
calculating a first wavelet entropy in the preset time window according to the first sampling signal;
and comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has seizure hidden danger.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
and updating the preset electroencephalogram data based on the first electroencephalogram data when the epileptic seizure confirmation information is received.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
acquiring a first weight value corresponding to the first wavelet entropy and a second weight value corresponding to the preset wavelet entropy;
and calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
acquiring the epileptic seizure frequency corresponding to the preset wavelet entropy, and calculating the first weight value and the second weight value based on the epileptic seizure frequency.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
when receiving epileptic seizure information, acquiring epileptic seizure moments corresponding to the epileptic seizure information;
acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and determining the preset electroencephalogram data based on the second electroencephalogram data.
Further, the epilepsy early warning program further realizes the following operations when being executed by the processor:
sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
and calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. An epilepsy early warning device, characterized in that, epilepsy early warning device includes: a memory, a processor, and a seizure warning program stored on the memory and executable on the processor, the seizure warning program when executed by the processor performs the following:
acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area;
the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area;
comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
when the fact that the user has the epileptic seizure hidden danger is determined, sending alarm prompt information to a preset terminal corresponding to the user;
the step of comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not comprises the following steps:
sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
calculating a first wavelet entropy in the preset time window according to the first sampling signal;
comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger;
when the seizure confirmation information is received, acquiring the number of seizures corresponding to the preset wavelet entropy, and calculating a first weight value and a second weight value based on the number of seizures, wherein the first weight value is 1/(the number of seizures +1), and the second weight value is the number of seizures/(the number of seizures + 1);
calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy, wherein the target wavelet entropy is the first weight value and the first wavelet entropy plus the second weight value.
2. The epilepsy warning apparatus of claim 1, wherein the epilepsy warning program when executed by the processor further performs the following:
calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has seizure hidden danger.
3. The epilepsy warning apparatus according to any one of claims 1 to 2, wherein the epilepsy warning program when executed by the processor further performs:
acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
when receiving epileptic seizure information, acquiring epileptic seizure moments corresponding to the epileptic seizure information;
acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and determining the preset electroencephalogram data based on the second electroencephalogram data.
4. The epilepsy warning apparatus of claim 3, wherein the epilepsy warning program when executed by the processor further performs the following:
sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
and calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
5. A computer-readable storage medium having stored thereon an epilepsy early warning program, which when executed by a processor, performs the operations of:
acquiring a first electroencephalogram signal of a user acquired by an electroencephalogram acquisition device in real time, and storing the acquired first electroencephalogram signal to a preset storage area;
the electroencephalogram acquisition device acquires first electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the current time in a timing mode based on the first electroencephalogram signals stored in the preset storage area;
comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not, wherein the preset electroencephalogram data are electroencephalogram data within preset time before the user seizure;
when the fact that the user has the epileptic seizure hidden danger is determined, sending alarm prompt information to a preset terminal corresponding to the user;
the step of comparing the first electroencephalogram data with preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger or not comprises the following steps:
sampling the first electroencephalogram data based on a preset time window to obtain a first sampling signal;
calculating a first wavelet entropy in the preset time window according to the first sampling signal;
comparing the first wavelet entropy with a preset wavelet entropy corresponding to the preset electroencephalogram data to determine whether the user has epileptic seizure hidden danger;
when the seizure confirmation information is received, acquiring the number of seizures corresponding to the preset wavelet entropy, and calculating a first weight value and a second weight value based on the number of seizures, wherein the first weight value is 1/(the number of seizures +1), and the second weight value is the number of seizures/(the number of seizures + 1);
calculating a target wavelet entropy based on the first weight value, the first wavelet entropy, the second weight value and the preset wavelet entropy, and setting the target wavelet entropy as the preset wavelet entropy, wherein the target wavelet entropy is the first weight value and the first wavelet entropy plus the second weight value.
6. The computer-readable storage medium of claim 5, wherein the epilepsy early warning program, when executed by the processor, further performs the operations of:
calculating a difference value between the first wavelet entropy and the preset wavelet entropy;
determining whether the difference is smaller than a preset difference, wherein when the difference is smaller than the preset difference, it is determined that the user has seizure hidden danger.
7. The computer-readable storage medium of any of claims 5 to 6, wherein the epilepsy pre-alert program, when executed by the processor, further performs the operations of:
acquiring a second electroencephalogram signal of the user acquired by the electroencephalogram acquisition device in real time, and storing the acquired second electroencephalogram signal into a preset storage area;
when receiving epileptic seizure information, acquiring epileptic seizure moments corresponding to the epileptic seizure information;
acquiring second electroencephalogram data acquired by the electroencephalogram acquisition device within a preset time before the epileptic seizure moment based on a second electroencephalogram signal stored in the preset storage area;
and determining the preset electroencephalogram data based on the second electroencephalogram data.
8. The computer-readable storage medium of claim 7, wherein the epilepsy early warning program, when executed by the processor, further performs the operations of:
sampling the second electroencephalogram data based on a preset time window to obtain a second sampling signal;
and calculating a second wavelet entropy in the preset time window according to the second sampling signal, and setting the second wavelet entropy as the preset wavelet entropy.
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