CN109620248A - Epileptic attack monitors system - Google Patents
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Abstract
This application discloses epileptic attacks to monitor system.The system includes: signal picker (101), for acquiring the data-signal on epileptic's target site, wherein data-signal includes at least: acceleration signal, electrocardiosignal and muscle electric signal；Signal processor (102) is communicated to connect with signal picker (101), for handling data-signal；Data-analyzing machine (103) is communicated to connect with signal processor (102), for according to treated data-signal judges epileptic whether epileptic attack.By the application, solve the problems, such as that the monitoring system of epileptic attack in the related technology is lower to the monitoring accuracy of epileptic attack.
Description
Technical field
This application involves technical field of information processing, monitor system in particular to a kind of epileptic attack.
Background technique
Epilepsy is the caused a kind of chronic neurological disorders that discharged by cerebral neuron paroxysmal abnormality, be will lead to of short duration
Cerebral disorder, generate rigid limbs, four limbs twitch, the symptoms such as inattentive extremely.Tonic-Clonic epilepsy is commonly called as " big hair
Make ", it is the important research object of the monitoring of epileptic attack, is mainly shown as muscle sustained contraction, symmetrically or asymmetrically
Twitch and involve identical muscle group every time, with clench fist, the movement such as bent wrist.Epileptic attack usually due to inattentive, body not
It controlled, breathe the reasons such as stopping and cause patient by unexpected injury, and if cannot treat in time may be because while breaking out
Brain inflammation reacts and aggravates nervous system injury, causes more serious consequence.Epileptic attack have it is sudden, influence patient
Normal work and life, make patient generate anxiety.Epileptic attack is of short duration inattentive or long with what can not almost be discovered
The violent clonic spasm of time, the complicated multiplicity of situation, without evident regularity.If when morbidity not in public or nobody sees
Shield, is difficult to be found, is also difficult to recall the history of attack of oneself afterwards.
The existing portable wearable epilepsy detection system using single input signal, it is many kinds of due to epileptic attack,
The form of expression is different, and the seizures types of user may change with time, remedy measures etc., only rely on list
One signal such as acceleration signal, electrocardiosignal etc. is difficult to accurately judge epileptic attack.
For the monitoring system of the epileptic attack in the related technology problem lower to the monitoring accuracy of epileptic attack, at present still
It does not put forward effective solutions.
Summary of the invention
The main purpose of the application is to provide a kind of epileptic attack monitoring system, to solve epileptic attack in the related technology
The monitoring system problem lower to the monitoring accuracy of epileptic attack.
To achieve the goals above, according to the one aspect of the application, a kind of epileptic attack monitoring system is provided.This is
System includes: signal picker, for acquiring the data-signal on epileptic's target site, wherein the data-signal is at least
It include: acceleration signal, electrocardiosignal and muscle electric signal；Signal processor is communicated to connect with the signal picker, is used for
The data-signal is handled；Data-analyzing machine is communicated to connect with the signal processor, for counting according to treated
It is believed that number judge the epileptic whether epileptic attack.
Further, the signal picker includes: first sensor, for acquiring epileptic's target site
Acceleration signal；Second sensor, for acquiring the electrocardiosignal of the epileptic；3rd sensor, for acquiring
State the muscle electric signal on epileptic's target site.
Further, the epileptic attack monitoring system includes: precaution device, communicates to connect, uses with the data-analyzing machine
In in the case where the data-analyzing machine judges epileptic's epileptic attack, prompting message is triggered, to remind target
Epileptic's epileptic attack described in object, wherein the mode of the prompting message is at least one of: information reminding, voice
It reminds, photoelectricity is reminded, alternatively, the precaution device control sends voice in the case where the epileptic carries communication tool
Control instruction is to the communication tool；By the communication tool voice broadcast target information, to remind the epileptic's
Epileptic's epileptic attack described in personnel at one's side.
Further, the data-analyzing machine is also used in the case where judging epileptic's epileptic attack, will
Described treated that data-signal is compared with the data-signal of pre-stored epileptic attack, distinguishes the epileptic
The type of epileptic attack；The precaution device is also used to select alerting pattern according to the type that the epileptic breaks out, according to choosing
The alerting pattern triggering prompting message selected, wherein the different type of epileptic attack corresponds to different alerting patterns.
Further, the epileptic attack monitors system further include: weight adjusts module, believes for being arranged in data-signal
Number weight, wherein the weight of the acceleration signal be greater than the muscle electric signal weight, the weight of electromyography signal be greater than
The weight of electrocardiosignal.
Further, the weight adjusts module, is also used in the epileptic attack number of the epileptic be more than default
When number, according to the adjustment of the type of the epileptic attack of the epileptic to the weight of signal in the data-signal, and improve
To the sample rate of the highest signal of weight, the sample rate of the signal minimum to weight is reduced.
Further, the target site includes at least following one: arm or wrist.
Further, the signal processor is also used to different according to the target site, calls different algorithms to institute
Data-signal is stated to be analyzed.
Further, the epileptic attack monitors system further include: memory module, for storing the collected epilepsy
Data-signal on patients target position and in the case where judging epileptic's epileptic attack, stores the epilepsy and suffers from
The seizure types of person.
Further, the data-analyzing machine includes: first processing module, is used for the data-signal according to default length
Degree carries out a point window and handles, and obtains multiple subsignals of target axis；Second processing module, for multiple sub- letters to the target axis
It number is handled, obtains two characteristic values；Determination module determines that the epileptic is for being based on described two characteristic values
No epileptic attack.
By the application, using following device: signal picker acquires the data-signal on epileptic's target site,
In, data-signal includes at least: acceleration signal, electrocardiosignal and muscle electric signal；Signal processor (102), is adopted with signal
Storage communication connection, for handling data-signal；Data-analyzing machine and signal processor communicate to connect, for according to place
Data-signal after reason judge epileptic whether epileptic attack.By the application, solves the prison of epileptic attack in the related technology
The examining system problem lower to the monitoring accuracy of epileptic attack solves the monitoring system of epileptic attack in the related technology to epilepsy
The lower problem of the monitoring accuracy of breaking-out.By acquisition acceleration signal, electrocardiosignal and muscle electric signal, by acceleration
Degree signal, electrocardiosignal and muscle electric signal are handled, monitoring epileptic whether epileptic attack, and then it is insane to have reached promotion
The effect of the monitoring accuracy of epilepsy.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present application, the schematic reality of the application
Example and its explanation are applied for explaining the application, is not constituted an undue limitation on the present application.In the accompanying drawings:
Fig. 1 is the schematic diagram that system is monitored according to epileptic attack provided by the embodiments of the present application.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein.In addition, term " includes " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing a series of steps or units
Process, method, system, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include without clear
Other step or units listing to Chu or intrinsic for these process, methods, product or equipment.
According to an embodiment of the present application, a kind of epileptic attack monitoring system is provided.
Fig. 1 is the schematic diagram that system is monitored according to the epileptic attack of the embodiment of the present application.As shown in Figure 1, the system includes
Following device:
Signal picker 101, for acquiring the data-signal on epileptic's target site, wherein data-signal is at least
It include: acceleration signal, electrocardiosignal and muscle electric signal；
Above-mentioned target site includes at least following one: arm or wrist.
Optionally, in order to acquire the accuracy of signal, believe in epileptic attack monitoring system provided by the embodiments of the present application
Number collector 101 includes: first sensor, for acquiring the acceleration signal on epileptic's target site；Second sensor,
For acquiring the electrocardiosignal of epileptic；3rd sensor, for acquiring the muscle electric signal on epileptic's target site.
For example, first sensor is three-axis sensor, at epileptic's wrist in three-axis sensor continuous acquisition 1 second
Acceleration signal.
Signal processor 102 is communicated to connect with signal picker 101, for handling data-signal；
For example, data-signal is acceleration signal, signal processor determines target axis from the acceleration signal of three axis
Signal, wherein the amplitude of the signal of target axis is greater than the amplitude of remaining two axis signal.
In order to guarantee the subsequent accuracy for judging whether epileptic attack, in the embodiment of the present application from the three of three-axis sensor
The most apparent axis of fluctuating quantity is selected in axis signal as main energy axes namely target axis, by letter collected on target axis
Number, the signal as target axis.By ensure that using the signal of the most apparent axis of fluctuating quantity as the signal of subsequent processing
The accuracy by data of epileptic attack is monitored, to guarantee the accuracy of subsequent judgement epileptic attack.Then to target axis
Signal carry out a point window according to preset length and handle, obtain multiple subsignals of target axis.For example, the letter of collected target axis
Number length be 150 frames, the signal of collected target axis then carries out a point window and handled, obtain target axis by preset length 50
3 subsignals, each subsignal include 50 data.
Optionally, in order to guarantee obtain characteristic value accuracy, in the embodiment of the present application to multiple sub- letters of target axis
It number is handled, obtaining two characteristic values includes: to carry out auto-correlation processing to each subsignal of target axis；After to processing
Subsignal construct toeplitz matrix, and determine construction toeplitz matrix inverse matrix；Space is calculated based on inverse matrix
Decorrelation parameter obtains two characteristic values.
Wherein, carrying out auto-correlation processing to each subsignal of target axis includes: using each of algorithm twin target axis
Subsignal carries out auto-correlation processing, wherein algorithm one are as follows:N < m, acc
(i) be subsignal i-th of data, m is the quantity of each subsignal data for including, and n is integer, and a (n) is the in subsignal
N treated data.
Wherein, based on constructing toeplitz matrix to treated subsignal, and determine the toeplitz matrix of construction
It is [a that inverse matrix, which includes: by the row vector of treated subsignal composition,1,a2…an], take its preceding k value to construct symmetrical Top's benefit
Hereby matrix is as follows:
Determine that the corresponding inverse matrix of toeplitz matrix is T-1, wherein k root
It is determined according to points of the conventional limb motion in current sample rate next cycle, and k < < n.
Then, multiple subsignals of target axis are handled, obtains two characteristic values.
In the embodiment of the present application, based on inverse matrix calculate space decorrelation parameter, obtain two characteristic values include: take it is inverse
Matrix column vector L=[aj aj+1 … aj+k-1]T, whereinCalculate X1=T-1× L, X2=-X1；Obtain first
Characteristic value c1=X2(1) and Second Eigenvalue c2=X2(j)。
Data-analyzing machine 103 is communicated to connect with signal processor 102, for according to treated, that data-signal judges to be insane
Epilepsy patient whether epileptic attack.
Based on two characteristic values, determine epileptic whether epileptic attack.
Optionally, in the embodiment of the present application, two characteristic values are the First Eigenvalue and Second Eigenvalue, preset threshold value
Including first threshold, second threshold and third threshold value, wherein first threshold is less than second threshold, and second threshold is less than third threshold
Value is based on two characteristic values, determines whether epileptic attack includes: when the First Eigenvalue is greater than first threshold, and the to epileptic
In the case that two characteristic values are greater than second threshold, alternatively, when the First Eigenvalue is greater than first threshold, and Second Eigenvalue is greater than the
One threshold value and be less than second threshold in the case where, determine epileptic's epileptic attack.
Optionally, in the embodiment of the present application, further includes: when the absolute value of the First Eigenvalue is less than first threshold, and the
In the case that the absolute value of two characteristic values is less than second threshold, alternatively, when the First Eigenvalue is less than third threshold value, and second feature
In the case that value is greater than first threshold and is less than second threshold, alternatively, when the First Eigenvalue is less than third threshold value, and second feature
In the case that the absolute value of value is greater than second threshold, the non-epileptic attack of epileptic is determined.
Optionally, in the embodiment of the present application, further includes: when the absolute value of the First Eigenvalue is less than first threshold, and the
In the case that the absolute value of two characteristic values is less than second threshold, determine that the limbs of epileptic are random motion；Work as fisrt feature
In the case that value is less than third threshold value, and Second Eigenvalue is greater than first threshold and is less than second threshold, determine epileptic's
Limbs are stable motion；When the First Eigenvalue be less than third threshold value, and the absolute value of Second Eigenvalue be greater than second threshold feelings
Under condition, determine that the limbs of epileptic are frequency conversion campaign.
For example, the First Eigenvalue is C1, Second Eigenvalue C2, by C1, C2 is compared with preset threshold value th1, th2, th3
Compared with.
When | a1| < th1, | a2 | < th2 is judged as the random motion of limbs；
Work as a1>th1,a2>th2, it is judged as the frequency conversion twitch of limbs；
Work as a1>th1,th1<a2<th2, be judged as limbs stablizes twitch；
Work as a1<th3,a2>th2, it is judged as the frequency conversion campaign of limbs；
Work as a1<th3,th1<a2<th2, it is judged as the stable motion of limbs；
Random motion, frequency conversion campaign and stable motion are judged as normal condition, and frequency conversion twitch and stable twitch are judged as insane
Epilepsy breaking-out.Wherein, threshold value th1, th2, th3 is obtained by mass data by statistical analysis.For example, th1 is 0.3, th1 1.2,
Th1 is 1.5.
Epileptic attack monitoring system provided by the embodiments of the present application can be applied to for Tonic-Clonic epileptic attack
Limbs twitch extremely and the different characteristics of other 3-axis accelerations of normal limb activity at wrist come real-time detection it is tetanic-battle array
The low operand method whether contraction type epilepsy breaks out.This method is not related to the related content of machine learning, uses a kind of space
The processing of decorrelation compares the feature of extraction with the threshold value obtained by statistical analysis to extract feature, realizes just
The differentiation of normal physiological activity and epileptic attack.This method calculation amount under the premise of guaranteeing Detection accuracy is relatively small, to hard
Energy consumption, arithmetic speed of part equipment etc. require it is lower, that is, the monitoring method of epileptic attack provided by the embodiments of the present application
Detect epileptic whether epileptic attack, also simplify the complexity of detection epileptic attack, improve detection epileptic attack
Accuracy.
After determining epileptic's epileptic attack, in order to guarantee the safety of epileptic, in the embodiment of the present application,
After determining epileptic's epileptic attack, further includes: triggering prompting message is to target object, to remind target object epileptic
Epileptic attack, wherein the mode of prompting message is at least one of: information reminding, voice reminder go electric prompting；Alternatively,
In the case that epileptic carries communication tool, control sends phonetic control command to communication tool；Pass through communication tool voice
Target information is broadcasted, to remind the epileptic's epileptic attack of personnel at one's side of epileptic.
That is, epileptic attack monitoring system includes: early warning in epileptic attack monitoring system provided by the embodiments of the present application
Device is communicated to connect with data-analyzing machine 103, in the case where data-analyzing machine 103 judges epileptic's epileptic attack,
Trigger prompting message, to remind target object epileptic's epileptic attack, wherein the mode of prompting message be it is following at least it
One: information reminding, voice reminder, photoelectricity are reminded, alternatively, in the case where epileptic carries communication tool, precaution device control
Phonetic control command is sent to communication tool；By communication tool voice broadcast target information, to remind epileptic at one's side
Personnel's epileptic's epileptic attack.
Through the above scheme, after determining epileptic's epileptic attack, triggering prompting message to target object for example,
The relatives of epileptic remind, alternatively, control epileptic, which carries communication tool, broadcasts target information, to remind epilepsy to suffer from
Person's is currently located personnel's epileptic's epileptic attack at one's side, so as to relatives or currently timely in the personnel of epileptic at one's side
The safety for protecting epileptic, avoids epileptic by secondary injury.
System is monitored by epileptic attack provided by the embodiments of the present application, using following device: signal picker 101 is used
Data-signal on acquisition epileptic's target site, wherein data-signal includes at least: acceleration signal, electrocardiosignal
With muscle electric signal；Signal processor 102 is communicated to connect with signal picker 101, for handling data-signal；Number
It according to analyzer 103, is communicated to connect with signal processor 102, for according to treated, whether data-signal to judge epileptic
Epileptic attack.By the application, solve the monitoring system of epileptic attack in the related technology to the monitoring accuracy of epileptic attack compared with
Low problem solves the problems, such as that the monitoring system of epileptic attack in the related technology is lower to the monitoring accuracy of epileptic attack.It is logical
Cross acquisition acceleration signal, electrocardiosignal and muscle electric signal, by acceleration signal, electrocardiosignal and muscle electric signal into
Row processing, monitoring epileptic whether epileptic attack, and then achieved the effect that promoted epilepsy monitoring accuracy.
Optionally, in order to protect the safety of epileptic, avoid epileptic by secondary injury, in the embodiment of the present application
In the epileptic attack monitoring system of offer, data-analyzing machine 103 is also used in the case where judging epileptic's epileptic attack,
Treated data-signal is compared with the data-signal of pre-stored epileptic attack, distinguishes epileptic's epilepsy hair
The type of work；Precaution device is also used to select alerting pattern according to the type that epileptic breaks out, and is touched according to the alerting pattern of selection
Send out prompting message, wherein the different type of epileptic attack corresponds to different alerting patterns.
Through the above scheme, different alerting patterns is corresponded to for the different seizure types of epileptic attack, thus more
Targetedly reminded.
Optionally, in epileptic attack monitoring system provided by the embodiments of the present application, epileptic attack monitors system further include:
Weight adjusts module, for the weight of signal in data-signal to be arranged, wherein the weight of acceleration signal is greater than muscle electric signal
Weight, the weight of electromyography signal be greater than electrocardiosignal weight.
Optionally, in epileptic attack monitoring system provided by the embodiments of the present application, weight adjusts module, is also used to insane
When the epileptic attack number of epilepsy patient is more than preset times, adjusted according to the type of the epileptic attack of epileptic to data-signal
The weight of middle signal, and the sample rate to the highest signal of weight is improved, reduce the sample rate of the signal minimum to weight.
Optionally, in epileptic attack monitoring system provided by the embodiments of the present application, signal processor 102 is also used to basis
Target site is different, and different algorithms is called to analyze data-signal.
In order to which the data to epileptic are more fully managed, the breaking-out situation of epileptic is analyzed, in the application
Epileptic attack monitors system in the epileptic attack monitoring system that embodiment provides further include: memory module is collected for storing
Epileptic's target site on data-signal and in the case where judging epileptic's epileptic attack, store epileptic
Seizure types.
Through the above scheme, the data of epileptic are more fully managed, epileptic is analyzed so as to subsequent
Breaking-out situation, to provide the more effective therapeutic scheme for being directed to epileptic.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, epilepsy is monitored by adjusting kernel parameter.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
The embodiment of the invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The existing epileptic attack monitors system.
The embodiment of the invention provides a kind of processor, the processor is for running program, wherein described program operation
Epileptic attack described in Shi Zhihang monitors system.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
Usable storage medium includes but is not limited to the upper computer program product implemented such as magnetic disk storage, CD-ROM, optical memory
Form.
The application is referring to the flow chart according to the method for the embodiment of the present application, device systems and computer program product
And/or block diagram describes.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate
One machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The above is only embodiments herein, are not intended to limit this application.To those skilled in the art,
Various changes and changes are possible in this application.It is all within the spirit and principles of the present application made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of the claims of this application.
Claims (10)
1. epileptic attack monitors system characterized by comprising
Signal picker (101), for acquiring the data-signal on epileptic's target site, wherein the data-signal is extremely
It less include: acceleration signal, electrocardiosignal and muscle electric signal；
Signal processor (102) is communicated to connect with the signal picker (101), for handling the data-signal；
Data-analyzing machine (103) is communicated to connect with the signal processor (102), for according to treated, data-signal to be sentenced
The epileptic of breaking whether epileptic attack.
2. epileptic attack according to claim 1 monitors system, which is characterized in that the signal picker (101) includes:
First sensor, for acquiring the acceleration signal on epileptic's target site；
Second sensor, for acquiring the electrocardiosignal of the epileptic；
3rd sensor, for acquiring the muscle electric signal on epileptic's target site.
3. epileptic attack according to claim 1 monitors system, which is characterized in that the epileptic attack monitors system packet
It includes:
Precaution device is communicated to connect with the data-analyzing machine (103), described for judging in the data-analyzing machine (103)
In the case where epileptic's epileptic attack, prompting message is triggered, to remind epileptic's epileptic attack described in target object,
In, the mode of the prompting message is at least one of: information reminding, and voice reminder, photoelectricity is reminded, alternatively, described insane
In the case that epilepsy patient carries communication tool, the precaution device control sends phonetic control command to the communication tool；Pass through
The communication tool voice broadcast target information, to remind epileptic's epilepsy described in the personnel at one's side of the epileptic to send out
Make.
4. epileptic attack according to claim 3 monitors system, which is characterized in that
The data-analyzing machine (103) is also used in the case where judging epileptic's epileptic attack, by the processing
Data-signal afterwards is compared with the data-signal of pre-stored epileptic attack, distinguishes epileptic's epileptic attack
Type；
The precaution device is also used to select alerting pattern according to the type that the epileptic breaks out, according to the alerting pattern of selection
Trigger prompting message, wherein the different type of epileptic attack corresponds to different alerting patterns.
5. epileptic attack according to claim 4 monitors system, which is characterized in that the epileptic attack monitoring system is also wrapped
It includes:
Weight adjusts module, for the weight of signal in data-signal to be arranged, wherein the weight of the acceleration signal is greater than institute
State the weight of muscle electric signal, the weight of electromyography signal is greater than the weight of electrocardiosignal.
6. epileptic attack according to claim 5 monitors system, which is characterized in that the weight adjusts module, is also used to
When the epileptic attack number of the epileptic is more than preset times, according to the type tune of the epileptic attack of the epileptic
The whole weight to signal in the data-signal, and the sample rate to the highest signal of weight is improved, it reduces minimum to weight
The sample rate of signal.
7. epileptic attack according to claim 1 monitors system, which is characterized in that the target site includes at least following
One of: arm or wrist.
8. epileptic attack according to claim 1 monitors system, which is characterized in that the signal processor (102) is also used
According to the target site difference, different algorithms is called to analyze the data-signal.
9. epileptic attack according to claim 1 monitors system, which is characterized in that the epileptic attack monitoring system is also wrapped
It includes:
Memory module, for store data-signal on collected epileptic's target site and judge it is described insane
In the case where epilepsy patient's epileptic attack, the seizure types of the epileptic are stored.
10. epileptic attack according to claim 1 monitors system, which is characterized in that data-analyzing machine (103) packet
It includes:
First processing module handles for carrying out a point window according to preset length to the data-signal, obtains the multiple of target axis
Subsignal；
Second processing module is handled for multiple subsignals to the target axis, obtains two characteristic values；
Determination module, for be based on described two characteristic values, determine the epileptic whether epileptic attack.
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