CN104993922B - A kind of intelligent wearable device and its encryption and decryption method - Google Patents
A kind of intelligent wearable device and its encryption and decryption method Download PDFInfo
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Abstract
The invention discloses a kind of intelligent wearable device and its encryption and decryption method, encryption method include: A, into encryption mode when, obtain the ECG information of user；B, the characteristic value for calculating sample point in the ECG information calculates waveform ID value according to the characteristic value；C, it when the waveform ID value that judgement continuously calculates several times is identical, is encrypted using the waveform ID value as key；It directly obtains the unique ECG information of user using the heartbeat detection chip being all arranged in existing intelligent wearable device, carries out calculating acquisition waveform ID value with the data of sample point on wave band each in electrocardiogram and encrypts automatically；Without user record password and easy to operate, the inner space of intelligent wearable device will not be occupied.
Description
Technical field
The present invention relates to encryption technology field, in particular to a kind of intelligent wearable device and its encryption and decryption method.
Background technique
With the conference of 2015MWC(World Mobile Communications) wearable device is fashionable above.More and more manufacturers all put into
The research and development of the intelligent wearable devices such as smartwatch are arrived.The development of intelligent wearable device opens new functional application also constantly
Hair.The level security of intelligent wearable device is one of main R&D direction.Such as password encryption, fingerprint of common cipher mode adds
It is close etc..Since the volume of intelligent wearable device is relatively small, password encryption needs user to keep password and input inconvenience firmly in mind；If increasing
Fingerprint recognition mould group can then occupy certain space, to carry out encrypting fingerprint, or using the mould group of other identifications to make
The structure plasticity of intelligent wearable device becomes smaller.
Thus the prior art could be improved and improve.
Summary of the invention
The purpose of the present invention is to provide a kind of intelligent wearable device and its encryption and decryption methods, to solve existing intelligence
The problem of wearable device cryptographic operation inconvenience, occupied space.
In order to achieve the above object, this invention takes following technical schemes:
A kind of encryption method of intelligent wearable device comprising:
A, when into encryption mode, the ECG information of user is obtained；
B, the characteristic value for calculating sample point in the ECG information calculates waveform ID value according to the characteristic value；
C, it when the waveform ID value that judgement continuously calculates several times is identical, is encrypted using the waveform ID value as key.
In the encryption method of the intelligent wearable device, the step A is specifically included:
A1, the minimum profile curvature radius for calculating P wave, QRS wave and T wave；
A2, the number for calculating P wave and T wave sample point within a preset time, are randomly assigned sample point simultaneously on P wave and T wave
It extracts；
A3, Discrete Fourier Transform function corresponding with normalization acquisition P wave, the wave crest of T wave is carried out to P wave and T wave；Meter
The characteristic information amount for calculating QRS wave, obtains the corresponding function of wave crest of QRS wave；
A4, waveform ID value is obtained according to the corresponding function of wave crest of P wave, T wave, QRS wave.
In the encryption method of the intelligent wearable device, in the step A2, the number of the sample point is equal to one
The period of a electrocardiographic wave is multiplied by sampling frequency；
Sample point is randomly assigned on P wave, QRS wave and T wave, or distributes a sample point every the reference time.
In the encryption method of the intelligent wearable device, in the step A3, discrete Fourier is carried out to P wave and T wave
Leaf transformation function corresponding with normalization acquisition P wave, the wave crest of T wave specifically includes:
A31, sample point is formed into a new waveform, is normalized again after carrying out Fourier transformation；
A32, the value obtained after normalization is brought to the corresponding function of wave crest that minimum profile curvature radius obtains P wave, T wave into.
In the encryption method of the intelligent wearable device, in the step A4, waveform ID value is f (ID) ∝ Δ=f (f
(HP), f (HQRS), f(HT), Ts), wherein f (HP)、f(HQRS)、f(HT) be respectively P wave, QRS wave and T wave wave crest it is corresponding
Function；Ts is the period of an electrocardiographic wave, and Δ is integrated environment variable quantity.
A kind of decryption method of intelligent wearable device comprising:
A, beat pulse has been detected whether when intelligent wearable device is switched on: executing step b if having；Do not enter standby mould then
Formula；
B, into decryption mode, ECG information is acquired, the sample point and meter of predetermined number are extracted in electrocardiographic wave
The characteristic value for calculating sample point calculates waveform ID value according to the characteristic value；
C, judge that waveform ID value is to decrypt whether in key error tolerance, otherwise enter standby mode.
In the decryption method of the intelligent wearable device, in the step c, the key error tolerance is with key
On the basis of be arranged about one fluctuation range.
A kind of intelligent wearable device comprising ciphering and deciphering device, the ciphering and deciphering device include heartbeat detection chip and
CPU；
When the CPU enters encryption mode, heartbeat detection chip obtains the ECG information of user；CPU calculates the heart
The characteristic value of sample point in electrograph information calculates waveform ID value, the waveform that judgement continuously calculates several times according to the characteristic value
When ID value is identical, is encrypted and stored using the waveform ID value as key.
In the ciphering and deciphering device of the intelligent wearable device, the heartbeat detection chip detects whether when being also used to be switched on
There is beat pulse, if thering is control CPU to enter decryption mode, if not entering into standby mode；
Heartbeat detection chip acquires ECG information and is transferred to CPU under decryption mode, and CPU is extracted in electrocardiographic wave
The sample point of predetermined number and the characteristic value for calculating sample point calculate waveform ID value according to the characteristic value, judge waveform ID value
It is to decrypt whether in key error tolerance, otherwise enters standby mode.
Compared to the prior art, intelligent wearable device and its encryption and decryption method provided by the invention, into encryption mode
When, obtain the ECG information of user；The characteristic value for calculating sample point in the ECG information is calculated according to the characteristic value
Waveform ID value；When the waveform ID value that judgement continuously calculates several times is identical, encrypted using the waveform ID value as key；Its
The unique ECG information of user is obtained, using the heartbeat detection chip being all arranged in existing intelligent wearable device directly with the heart
In electrograph on each wave band the data of sample point carry out calculate obtain waveform ID value encrypt automatically；Without user record password and operation
It is convenient, the inner space of intelligent wearable device will not be occupied.
Detailed description of the invention
Fig. 1 is the schematic diagram of existing electrocardiographic wave.
Fig. 2 is the method flow diagram of the encryption method of intelligent wearable device provided by the invention.
Fig. 3 is the period schematic diagram of an electrocardiographic wave in the encryption method of intelligent wearable device provided by the invention.
Fig. 4 is the schematic diagram of the encryption method mean curvature radius of intelligent wearable device provided by the invention.
Fig. 5 is the method flow diagram of the decryption method of intelligent wearable device provided by the invention.
Fig. 6 is the structural block diagram of the ciphering and deciphering device of intelligent wearable device provided by the invention.
Specific embodiment
Myocardial cell membrane is semi-permeable membrane, when quiescent condition, arranges the positively charged cation of certain amount, row in film outside film
The negatively charged anion of identical quantity is arranged, film volta potential is higher than in film, referred to as polarized state.Under quiescent condition, due to heart
Each position cardiac muscle cell is all in polarized state, the not no equipotential line of potential diagram.Cardiac muscle cell is in the thorn by some strength
When swashing, permeability of cell membrane changes, and pours in film in a large amount of cation short time, becomes film inner potential just by negative, this
Process is known as depolarization.For whole heart, potential change of the cardiac muscle cell from the internal membrane of heart into external membrane of heart sequence process of depolarization,
Wave of depolarization is known as by the potential curve that galvo-recorder is traced, i.e., the P wave in atrium and the QRS wave of ventricle on surface electrocardiogram.Carefully
After the completion of born of the same parents' depolarization, a large amount of cations are discharged in cell membrane again, and film inner potential is made to be restored to original polarized state by just becoming negative,
This process is carried out from the external membrane of heart to the internal membrane of heart, referred to as multipole.Potential change in same cardiac muscle cell's process of repolarization, by rheometer
Record instrument traces out referred to as repolarization wave.Since process of repolarization is relatively slow, repolarization wave is low compared with wave of depolarization.The repolarization wave in atrium it is low and
It is embedded in the wave of depolarization of ventricle, surface electrocardiogram is not easy to recognize.The repolarization wave of ventricle shows as T wave on surface electrocardiogram.It is whole
After a cardiac muscle cell's whole multipole, restore polarized state again, without potential difference, body surface ecg seal between each position cardiac muscle cell
Record equipotential line.Therefore, each wave band represents the different parts of heart.Shown in Fig. 1 sinoatrial node, atrioventricular node (atrionodal region,
Interface, the area Jie Xi), Xinier reservoir, bundle branch, the corresponding wave band of ventricular bipolar, each band combination be a cycle electrocardiographic wave
It is the prior art, is not described further herein.
Based on above-mentioned electrocardiographic wave, the present invention provides a kind of intelligent wearable device and its encryption and decryption method, utilizes
The heartbeat detection chip being all arranged in existing intelligent wearable device obtains the unique ECG information of user.In electrocardiogram
Identification marking of the data of sample point as identity, is automatically encrypted and is decrypted on each wave band；Without user record password
And it is easy to operate, the inner space of intelligent wearable device will not be occupied.To make the purpose of the present invention, technical solution and effect more
Clear, clear, the present invention is described in more detail as follows in conjunction with drawings and embodiments.It should be appreciated that described herein
Specific examples are only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 2, it is the encryption method flow chart of intelligent wearable device provided by the invention.It is provided by the invention to add
Decryption method includes:
S100, into encryption mode when, obtain the ECG information of user；
S200, the characteristic value for calculating sample point in the ECG information calculate waveform ID value according to the characteristic value；
When the waveform ID value that S300, judgement continuously calculate several times is identical, added using the waveform ID value as key
It is close.
Due to everyone cardiac structure not exclusively, scientific circles have confirmed proprietary electrocardiographic wave can not
It is just the same.As the variation of environment and heart itself are directly or indirectly influenced by disease, entire electrocardiographic wave
Correlated variables can also change.By the way that everyone oneself distinctive waveform ID value can be obtained after characteristics extraction.
Key of the present embodiment according to above-mentioned conclusion, using the ECG information of user as encryption.It needs to obtain key
When, user takes the encryption icon or Encryption Options clicked after intelligent wearable device in screen, can enter encryption mode.Adding
Under close mode, the ECG information of the heartbeat detection chip acquisition user of intelligent wearable device is accordingly calculated, judges to obtain
Waveform ID value is encrypted as key.User is prompted after encrypting successfully, and automatically exits from encryption mode, makes intelligent wearable device
It can work normally.
As shown in figure 3, ECG information include multiple electrocardiographic waves, on waveform all the points coordinate value, an electrocardio
The period of figure waveform, sampling frequency.Heart, which is jumped, once there is the waveform that a cycle is T s.It is described in the step S200
The calculating of characteristic value obtains its crest value including calculating the radius of curvature of P wave and T wave, and calculates the characteristic information of QRS wave
Vector obtains its crest value.Assuming that P wave, the corresponding function of the wave crest of QRS wave and T wave is respectively f (HP), f (HQRS), f
(HT), then the cryptogram-modle of waveform ID value is f (ID) ∝ Δ=f (f (HP), f (HQRS), f (HT), Ts).(Δ integrated environment
Variable quantity).
The step S200 is specifically included:
Step 201, the minimum profile curvature radius for calculating P wave, QRS wave and T wave.
P wave and T wave are a kind of sine waves as can be seen from Figure 3, according to P wave and its wave crest of this feature calculation of T wave and its wave crest
The radius of curvature of calculating P wave and T wave can be used to be converted into the acquisition of wave crest characteristic point in trend.According on waveform in Fig. 4
The value of point x, y, z finds minimum profile curvature radius, and calculation formula is.When δ maximum, radius of curvature is just minimum.Root
It can get the rate of rise of P wave and T wave according to the value of δ.QRS wave is triangular wave, is also calculated and is obtained thereon using minimum profile curvature radius
Rise slope trend.
Then according to the formula of the minimum profile curvature radius, Fourier characteristic coefficient and normalization conversion are carried out.That is step
202, the number for calculating P wave and T wave sample point within a preset time, is randomly assigned sample point on P wave and T wave and extracts.
By taking P wave as an example, preset time is one minute.Assuming that the standard rhythm of the heart of people be 80 times per minute, then an electrocardiogram
The period of waveform (i.e. a cycle Ts in Fig. 3) is to have 80 periods in 0.75 second (60s/80 times), one minute.If sampling
Frequency is 8000Hz, then the ecg cycle that rhythm of the heart is 80 times just contains 6000(0.75s × 8000Hz) a sample point,
This is the sample point Nn of the standard rhythm of the heart.
It can be randomly assigned 6000 sample points on P wave, or use and set every the reference time (such as 0.01s or 0.005s)
A sample point is set to be allocated.Sample point may also change accordingly if beats variation, as somebody jumps 74 times per minute
Or 88 times, then the period correspondence of electrocardiographic wave becomes about 0.81s or 0.68s, accordingly sample point be 6480 or
5440, always in the variation up and down of 6000 sample point this standard values.
S203, Discrete Fourier Transform and normalization are carried out to P wave and T wave.
In this step, the characteristic value for calculating the sample point of P wave and T wave is first had to.By taking P wave as an example, the calculating of characteristic value is
Its sample point is first formed into a new waveform, i.e. progress Fourier transformation, to understand the variation tendency of these sample points.
Assuming that the length of the whole electrocardiographic wave h (n) (80 periods in i.e. one minute) obtained is N, discrete Fu
In leaf transformation are as follows:.Wherein, 0≤k≤N-1.Due to actual
N may greatly may also be small than Nn (Nn=6000), then the length ratio α=N/Nn for defining electrocardiographic wave records the heart if α > 1
Rule is higher than the standard rhythm of the heart, and the standard rhythm of the heart is lower than if α < 1.Fourier transformation can make the data of P wave and T wave tend to more stable
Change.
Then it needs that the value of sample point is normalized, sample point similar in retention, filters out the biggish sample point of gap.
If number of sampling points is fixed as Nn(6000), scalar Tn, Tn=Ts/ a α, Ts=1/fs need to be set.It can thus be concluded that normalized
Periodic signal function:
, wherein M is ECG spectrum
Highest integer frequency, generally [0,100] Hz；Fs is the jumping frequency rate of pulse.
According to formula, the value of obtained h (n) is filled into the corresponding coordinate value of x, y, z accordingly.
Abscissa is numerical value corresponding to acquisition time, can directly be indicated with N.Ordinate is the number of the voltage conversion longitudinally acquired
Value rejects the discrete value wherein beated via Fourier transform and normalization.WhereinX coordinate is subtracted for the coordinate of z, is
The coordinate of y subtracts the coordinate of x.
It finds minimum profile curvature radius and also just finds crest value.Simultaneously also the Curvature varying of wave can be obtained according to the variation of vector
The namely variation tendency of wave.All obtained data and variation tendency are formed corresponding encrypting database to be stored.T wave
Wave crest function calculation it is identical as P wave, do not repeat herein.Encrypting database is that P wave, the wave crest of T wave are corresponding
Function f (HP), f (HT)。
Then the corresponding function of wave crest for calculating the characteristic information amount of QRS wave to obtain QRS wave；
Since QRS wave is different from P wave and T wave, calculation is not also identical.Assuming that Z sections heartbeat wave band Z of acquisition=
{Zi, it include C class, wherein altogether including C in each classiA wave band collection, contains in totalA wave band.One wave
Section is assumed to be zij.All wave bands are all using the wave crest of QSR wave as basic point, length L, less than L with 0 polishing, then the association of QRS wave
Variance matrix is, S is the square matrix of N × N,
For average wave band collection.The characteristic value and feature vector of calculating S are simultaneously arranged by descending order, obtain characteristic sequence λi, i=1,
2 ... L obtain characteristic information amount η in order to which convenience of calculation takes M main component M < L,,
The data of η are sorted out, obtain corresponding data sequence composition encrypting database, which is the wave of QRS wave
The corresponding function f (H in peakQRS)。
Step 204, waveform ID value obtained according to the corresponding function of wave crest of P wave, T wave, QRS wave.
In conclusion whole sort out function f (ID) ∝ Δ=f (f (HP), f (HQRS), f(HT), Ts).(Δ is comprehensive
Cyclization border variable quantity).F (ID) is waveform ID value.
Since the beat pulse of human body is done based on environment or physiologic factor to electrocardiogram acquisition as unit of 1Hz
It disturbs, a certain amount of sample information is needed to be combined.It is quantitative in order to more accurately analyze, best continuous acquisition 2 minutes or more
It is advisable.If above-mentioned calculating process executes per minute once judges that the waveform ID value of continuous 3 acquisitions is identical, then by the waveform
ID value is encrypted as key, and waveform ID value is stored into the erasable power-down protection storage of specified Flash() in.
It is under different active states or physiological status based on human body, heartbeat is different, considers the influence of these factors.Therefore, the step
In rapid S300, the identical waveform ID value referred to several times of the waveform ID value continuously calculated several times all judges in preset range
It is identical.
It is to be appreciated that the calculating due to characteristic value is related with sample point, and sample point is randomly assigned.Then every time
The key obtained when encryption is different, considerably increases the difficulty of key attack in this way, protects the privacy of user.
Referring to Fig. 5, the encryption method based on above-mentioned intelligent wearable device, the present invention correspondingly provides a kind of intelligence and wears
Wear the decryption method of equipment comprising:
Beat pulse has been detected whether when S10, intelligent wearable device booting, if having into decryption mode, has not been entered
Standby mode；
S20, acquisition ECG information extract the sample point of predetermined number in electrocardiographic wave and calculate the spy of sample point
Value indicative calculates waveform ID value according to the characteristic value；
S30, judge that waveform ID value whether in key error tolerance, is to decrypt, otherwise keeps standby mode.
When intelligent wearable device booting, heartbeat detection chip has first detected whether beat pulse, such as without stopping detection,
It indicates that user does not take intelligent wearable device, standby mode can be entered at this time, intelligent wearable device can also be automatically closed.Institute
Stating standby mode and indicating that the intelligent wearable device is not decrypted cannot work.Under the standby mode, as long as detecting pulse jump
Enter decryption mode if dynamic (as user just takes intelligent wearable device after booting).
In the step S20, the electrocardiagraphic wave of a cycle (waveform in a Ts period in such as Fig. 3) can be first acquired
Shape.Changed by matrix based on 6000 sample points, arrangement is sorted out, so the data actually compared have been concentrated on
Some region.It acquires 6000 points to be to be able to comprehensively analyze opposite data, during actual key pair ratio
The amount that sample point can suitably be reduced, accelerates versus speed.In one cycle, it can extract the sampling of predetermined number (1000)
Point, calculating process when according to encryption calculate the characteristic value of these sample points, to obtain the feature letter of P wave, QRS wave, T wave
Breath amount.It can be obtained final waveform ID value.
The comparison that the MCU waveform ID value handled and Flash are stored, if the waveform ID value currently calculated is in key
In error tolerance, then it represents that successful decryption, intelligent wearable device enter normal operating conditions.If not in key error tolerance,
Continue the calculating judgement that an extraction and characteristic value, characteristic information amount are sampled to the electrocardiographic wave of next cycle.If even
It connects and judges that the electrocardiographic wave of predetermined period (such as 10 periods) can not all match, then prompt decryption to fail, standby mould can be kept
Formula is directly shut down.
Based on environmental factor and physiological influence, the electrocardiographic wave of user has certain difference.The present embodiment setting
Key error tolerance, that is, the waveform ID value calculated and key carry out opposite fault tolerant mechanism during comparing, using key as base
The range of quasi- about one fluctuation of setting, as long as the waveform ID value calculated is within this range, it is believed that the waveform ID value of calculating
It is equal with key.
Referring to Figure 6 together, the encryption method based on above-mentioned intelligent wearable device, the present invention correspondingly provide a kind of add
Decrypt device, including heartbeat detection chip 1 and CPU 2；
When the CPU 2 enters encryption mode, heartbeat detection chip obtains the ECG information of user；Described in CPU is calculated
The characteristic value of sample point in ECG information calculates waveform ID value, the wave that judgement continuously calculates several times according to the characteristic value
When shape ID value is identical, is encrypted and stored using the waveform ID value as key.
The heartbeat detection chip has detected whether beat pulse when being also used to be switched on, if there is control CPU to enter decryption mould
Formula, if not entering into standby mode；
Heartbeat detection chip acquires ECG information and is transferred to CPU under decryption mode, and CPU is extracted in electrocardiographic wave
The sample point of predetermined number and the characteristic value for calculating sample point calculate waveform ID value according to the characteristic value, judge waveform ID value
It is to decrypt whether in key error tolerance, otherwise enters standby mode.
In conclusion the present invention obtains user using the heartbeat detection chip being arranged in existing intelligent wearable device
Unique ECG information carries out relevant calculation with the data of sample point on wave band each in electrocardiogram and obtains waveform ID value, with this
Waveform ID value is that key is automatically encrypted and decrypted；Without user record password and easy to operate, intelligence will not be occupied and worn
Wear the inner space of equipment.
It, can according to the technique and scheme of the present invention and its hair it is understood that for those of ordinary skills
Bright design is subject to equivalent substitution or change, and all these changes or replacement all should belong to the guarantor of appended claims of the invention
Protect range.
Claims (8)
1. a kind of encryption method of intelligent wearable device characterized by comprising
A, when into encryption mode, the ECG information of user is obtained；
B, the characteristic value for calculating sample point in the ECG information calculates waveform ID value according to the characteristic value；
C, it when the waveform ID value that judgement continuously calculates several times is identical, is encrypted using the waveform ID value as key；
The step B is specifically included:
B1, the minimum profile curvature radius for calculating P wave, QRS wave and T wave；
B2, the number for calculating P wave and T wave sample point within a preset time, are randomly assigned sample point on P wave and T wave and extract；
B3, Discrete Fourier Transform function corresponding with normalization acquisition P wave, the wave crest of T wave is carried out to P wave and T wave；It calculates
The characteristic information amount of QRS wave obtains the corresponding function of wave crest of QRS wave；
B4, waveform ID value is obtained according to the corresponding function of wave crest of P wave, T wave, QRS wave；
The covariance matrix for calculating QRS wave calculates the characteristic value of covariance matrix and feature vector and arranges by descending order
Column, obtain characteristic sequence λi, i=1,2 ... L take M main component to obtain characteristic information amount, carry out to the data of characteristic information amount
Sort out, obtains corresponding data sequence composition encrypting database, which is the corresponding function of wave crest of QRS wave；M
< L, L are natural number.
2. the encryption method of intelligent wearable device according to claim 1, which is characterized in that in the step B2, institute
The number for stating sample point is equal to the period of an electrocardiographic wave multiplied by sampling frequency；
Sample point is randomly assigned on P wave, QRS wave and T wave, or distributes a sample point every the reference time.
3. the encryption method of intelligent wearable device according to claim 1, which is characterized in that in the step B3, to P
Wave and T wave carry out Discrete Fourier Transform function corresponding with normalization acquisition P wave, the wave crest of T wave and specifically include:
B31, sample point is formed into a new waveform, is normalized again after carrying out Fourier transformation；
B32, the value obtained after normalization is brought to the corresponding function of wave crest that minimum profile curvature radius obtains P wave, T wave into.
4. the encryption method of intelligent wearable device according to claim 3, which is characterized in that in the step B4, waveform
ID value is one function f (ID) ∝ Δ=f (f (H of whole classificationP), f (HQRS), f(HT), Ts), wherein f (HP)、f(HQRS)、
f(HT) be respectively P wave, QRS wave and T wave the corresponding function of wave crest；Ts is the period of an electrocardiographic wave, and Δ is comprehensive ring
Border variable quantity.
5. a kind of decryption method of intelligent wearable device characterized by comprising
A, beat pulse has been detected whether when intelligent wearable device is switched on: executing step b if having；Do not enter standby mode then；
B, into decryption mode, ECG information is acquired, the sample point of predetermined number is extracted in electrocardiographic wave and calculates pumping
The characteristic value of sampling point calculates waveform ID value according to the characteristic value；
C, judge that waveform ID value is to decrypt whether in key error tolerance, otherwise enter standby mode；
The characteristic value for calculating sample point, calculating waveform ID value according to the characteristic value includes:
B1, the minimum profile curvature radius for calculating P wave, QRS wave and T wave；
B2, the number for calculating P wave and T wave sample point within a preset time, are randomly assigned sample point on P wave and T wave and extract；
B3, Discrete Fourier Transform function corresponding with normalization acquisition P wave, the wave crest of T wave is carried out to P wave and T wave；It calculates
The characteristic information amount of QRS wave obtains the corresponding function of wave crest of QRS wave；
B4, waveform ID value is obtained according to the corresponding function of wave crest of P wave, T wave, QRS wave；
The covariance matrix for calculating QRS wave calculates the characteristic value of covariance matrix and feature vector and arranges by descending order
Column, obtain characteristic sequence λi, i=1,2 ... L take M main component to obtain characteristic information amount, carry out to the data of characteristic information amount
Sort out, obtains corresponding data sequence composition encrypting database, which is the corresponding function of wave crest of QRS wave；M
< L, L are natural number.
6. the decryption method of intelligent wearable device according to claim 5, which is characterized in that described in the step c
Key error tolerance is the range for about one fluctuation being arranged on the basis of key.
7. a kind of intelligent wearable device, which is characterized in that including ciphering and deciphering device, the ciphering and deciphering device includes heartbeat detection core
Piece and CPU；
When the CPU enters encryption mode, heartbeat detection chip obtains the ECG information of user；CPU calculates the electrocardiogram
The characteristic value of sample point in information calculates waveform ID value, the waveform ID value that judgement continuously calculates several times according to the characteristic value
When identical, encrypted and stored using the waveform ID value as key;
The CPU calculates the characteristic value of sample point in the ECG information, calculates waveform ID value according to the characteristic value and includes:
Calculate the minimum profile curvature radius of P wave, QRS wave and T wave；The number for calculating P wave and T wave sample point within a preset time, in P wave and
It is randomly assigned sample point on T wave and extracts；Discrete Fourier Transform is carried out to P wave and T wave and normalization obtains the wave of P wave, T wave
The corresponding function in peak；The characteristic information amount for calculating QRS wave, obtains the corresponding function of wave crest of QRS wave；
B4, waveform ID value is obtained according to the corresponding function of wave crest of P wave, T wave, QRS wave；
The covariance matrix for calculating QRS wave calculates the characteristic value of covariance matrix and feature vector and arranges by descending order
Column, obtain characteristic sequence λi, i=1,2 ... L take M main component to obtain characteristic information amount, carry out to the data of characteristic information amount
Sort out, obtains corresponding data sequence composition encrypting database, which is the corresponding function of wave crest of QRS wave；M
< L, L are natural number.
8. the ciphering and deciphering device of intelligent wearable device according to claim 7, which is characterized in that the heartbeat detection chip
Beat pulse is detected whether when being also used to be switched on, if thering is control CPU to enter decryption mode, if not entering into standby mode；
Heartbeat detection chip acquires ECG information and is transferred to CPU under decryption mode, and CPU extracts default in electrocardiographic wave
The sample point of number and the characteristic value for calculating sample point calculate waveform ID value according to the characteristic value, whether judge waveform ID value
In key error tolerance, it is, decrypts, otherwise enters standby mode.
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| CN108833085B (en) * | 2018-04-04 | 2019-11-29 | 深圳大学 | A kind of wearable smart machine matching method and system based on heartbeat signal |
| CN117131528B (en) * | 2023-09-04 | 2024-03-08 | 苏州派博思生物技术有限公司 | OEM information customization method and system |
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