CN104993922A - Intelligent wearing device and encryption and decoding method thereof - Google Patents
Intelligent wearing device and encryption and decoding method thereof Download PDFInfo
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- CN104993922A CN104993922A CN201510273372.6A CN201510273372A CN104993922A CN 104993922 A CN104993922 A CN 104993922A CN 201510273372 A CN201510273372 A CN 201510273372A CN 104993922 A CN104993922 A CN 104993922A
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Abstract
The invention discloses an intelligent wearing device and an encryption and decoding method thereof. The encryption method comprises steps of A: obtaining electrocardiogram information of a user when entering an encryption mode; B: calculating characteristic values of sample points in the electrocardiogram information; and C: regarding waveform ID values as keys and encrypting the keys while judging the continuous waveform ID values calculated for several times are the same. By directly using a heartbeat detection chip in a current intelligent wearing device to obtain the only electrocardiogram information of the user, data of sample points on all wave bands in the electrocardiogram is calculated to obtain and automatically encrypt the waveform ID value. It is very convenient for the user to operate the wearing device with no need for recording the password, so inner space of the intelligent wearing device will not be occupied.
Description
Technical field
The present invention relates to encryption technology field, particularly a kind of Intelligent worn device and encryption thereof, decryption method.
Background technology
Along with the conference of 2015MWC(World Mobile Communications) wearable device is fashionable above.Increasing manufacturer has all put into the research and development of the Intelligent worn device such as intelligent watch.The development of Intelligent worn device makes new function application also constantly be developed.The level security of Intelligent worn device is one of main R&D direction.Common cipher mode is as password encryption, encrypting fingerprint etc.Because the volume of Intelligent worn device is relatively little, password encryption needs user to keep password firmly in mind and input is inconvenient; If increase fingerprint recognition module to carry out encrypting fingerprint, or adopt the module of other identifications then can take certain space thus the structure plasticity of Intelligent worn device is become less.
Thus prior art need to improve.
Summary of the invention
The object of the present invention is to provide a kind of Intelligent worn device and encryption thereof, decryption method, to solve the problem that existing Intelligent worn device cryptographic operation is inconvenient, take up room.
In order to achieve the above object, this invention takes following technical scheme:
An encryption method for Intelligent worn device, it comprises:
A, when entering encryption mode, obtain the ECG information of user;
B, calculate the characteristic value of sample point in described ECG information, calculate waveform ID value according to described characteristic value;
C, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value to be encrypted as key.
In the encryption method of described Intelligent worn device, described steps A specifically comprises:
The minimum profile curvature radius of A1, calculating P ripple, QRS ripple and T ripple;
The number of A2, calculating P ripple and T ripple sample point in Preset Time, Random assignment sample point on P ripple and T ripple also extracts;
A3, P ripple and T ripple carried out to function corresponding to crest that discrete Fourier transform (DFT) and normalization obtain P ripple, T ripple; Calculate the characteristic information amount of QRS ripple, obtain the function that the crest of QRS ripple is corresponding;
A4, the function corresponding according to the crest of P ripple, T ripple, QRS ripple obtain waveform ID value.
In the encryption method of described Intelligent worn device, in described steps A 2, the cycle that the number of described sample point equals an electrocardiographic wave is multiplied by sampling frequency;
Sample point Random assignment on P ripple, QRS ripple and T ripple, or distribute a sample point every the reference time.
In the encryption method of described Intelligent worn device, in described steps A 3, P ripple and T ripple are carried out to discrete Fourier transform (DFT) and normalization obtain P ripple, function that the crest of T ripple is corresponding specifically comprises:
A31, sample point formed a new waveform, be normalized again after carrying out Fourier transform;
A32, the value obtained after normalization brought into function corresponding to crest that minimum profile curvature radius obtains P ripple, T ripple.
In the encryption method of described Intelligent worn device, in described steps A 4, waveform ID value is f (ID) ∝ Δ=f (f (H
p), f (H
qRS), f (H
t), Ts), wherein, f (H
p), f (H
qRS), f (H
t) be respectively function corresponding to the crest of P ripple, QRS ripple and T ripple; Ts is the cycle of an electrocardiographic wave, and Δ is integrated environment variable quantity.
A decryption method for Intelligent worn device, it comprises:
Detect whether have beat pulse during the start of a, Intelligent worn device: perform step b if having; Then do not enter standby mode;
B, enter decryption mode, gather ECG information, in electrocardiographic wave, extract the sample point of predetermined number and calculate the characteristic value of sample point, calculating waveform ID value according to described characteristic value;
C, judge waveform ID value whether in key error tolerance, be decipher, otherwise enter standby mode.
In the decryption method of described Intelligent worn device, in described step c, described key error tolerance take key as about one scope fluctuated that benchmark is arranged.
A kind of Intelligent worn device, it comprises ciphering and deciphering device, and described ciphering and deciphering device comprises heartbeat detection chip and CPU;
When described CPU enters encryption mode, heartbeat detection chip obtains the ECG information of user; CPU calculates the characteristic value of sample point in described ECG information, calculates waveform ID value, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value be encrypted as key and store according to described characteristic value.
In the ciphering and deciphering device of described Intelligent worn device, when described heartbeat detection chip is also for starting shooting, detect whether have beat pulse, if having control CPU to enter decryption mode, if do not enter standby mode;
Under decryption mode, heartbeat detection chip gathers ECG information and is transferred to CPU, CPU extracts the sample point of predetermined number and calculates the characteristic value of sample point in electrocardiographic wave, waveform ID value is calculated according to described characteristic value, judge waveform ID value whether in key error tolerance, be decipher, otherwise enter standby mode.
Compared to prior art, Intelligent worn device provided by the invention and encryption thereof, decryption method, when entering encryption mode, obtain the ECG information of user; Calculate the characteristic value of sample point in described ECG information, calculate waveform ID value according to described characteristic value; When judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value is encrypted as key; It directly utilizes the heartbeat detection chip all arranged in existing Intelligent worn device to obtain the unique ECG information of user, carries out calculating obtain the encryption automatically of waveform ID value with the data of sample point on wave band each in electrocardiogram; Easy to operate without the need to user record password, can not take the inner space of Intelligent worn device.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of existing electrocardiographic wave.
Fig. 2 is the method flow diagram of the encryption method of Intelligent worn device provided by the invention.
Fig. 3 is the cycle schematic diagram of an electrocardiographic wave in the encryption method of Intelligent worn device provided by the invention.
Fig. 4 is the schematic diagram of the encryption method mean curvature radius of Intelligent worn device provided by the invention.
Fig. 5 is the method flow diagram of the decryption method of Intelligent worn device provided by the invention.
Fig. 6 is the structured flowchart of the ciphering and deciphering device of Intelligent worn device provided by the invention.
Embodiment
Myocardial cell membrane is pellicle, and during quiescent condition, film arranges the positively charged cation of some outward, and the anion that in film, arrangement equal number is electronegative, film volta potential, higher than in film, is called polarized state.Under quiescent condition, due to heart, each position cardiac muscle cell is in polarized state, does not have the equipotential line of potential diagram.Cardiac muscle cell is when the stimulation being subject to some strength, and permeability of cell membrane changes, and pours in film in a large amount of cation short time, and make film inner potential by just bearing change, this process is called depolarization.Concerning overall heart, cardiac muscle cell is from the internal membrane of heart to the potential change external membrane of heart order process of depolarization, and the potential curve traced by galvo-recorder is called depolarization ripple, i.e. the P ripple in atrium and the QRS ripple of ventricle on surface electrocardiogram.After cell depolarization completes, cell membrane discharges again a large amount of cation, and make film inner potential by just becoming negative, return to original polarized state, this process is carried out to the internal membrane of heart by the external membrane of heart, is called multipole.Potential change in same cardiac muscle cell's process of repolarization, is traced out by galvo-recorder and is called repolarization wave.Because process of repolarization is relatively slow, comparatively depolarization ripple is low for repolarization wave.The repolarization wave in atrium is low and be embedded in the depolarization ripple of ventricle, and surface electrocardiogram is not easily recognized.The repolarization wave of ventricle shows as T ripple on surface electrocardiogram.After the whole multipole of whole cardiac muscle cell, again recover polarized state, do not have potential difference between each position cardiac muscle cell, surface electrocardiogram is recorded to equipotential line.Therefore, each wave band represents the different parts of heart.Sinoatrial node shown in Fig. 1, atrioventricular node (atrionodal region, interface, Jie Xi district), the wave band that Xinier reservoir, bundle branch, ventricular bipolar are corresponding, each band combination be one-period electrocardiographic wave its be prior art, be not described further herein.
Based on above-mentioned electrocardiographic wave, the invention provides a kind of Intelligent worn device and encryption thereof, decryption method, utilize the heartbeat detection chip all arranged in existing Intelligent worn device to obtain the unique ECG information of user.In electrocardiogram, on each wave band, the data of sample point, as the identification marking of identity, carry out automatically encryption and decryption; Easy to operate without the need to user record password, can not take the inner space of Intelligent worn device.For making object of the present invention, technical scheme and effect clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Refer to Fig. 2, it is the encryption method flow chart of Intelligent worn device provided by the invention.Encryption method provided by the invention comprises:
S100, when entering encryption mode, obtain the ECG information of user;
S200, calculate the characteristic value of sample point in described ECG information, calculate waveform ID value according to described characteristic value;
S300, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value to be encrypted as key.
Because everyone cardiac structure is not exclusively the same, the verified proprietary electrocardiographic wave of scientific circles can not be just the same.Directly or indirectly affect along with the change of environment and heart itself are subject to disease, the correlated variables of whole electrocardiographic wave also can change.By everyone oneself distinctive waveform ID value can be obtained after characteristics extraction.
The present embodiment, according to above-mentioned conclusion, adopts the ECG information of user as the key of encryption.When needing to obtain key, user clicks encryption icon in screen or Encryption Options after bringing Intelligent worn device, can enter encryption mode.In an encrypted mode, the heartbeat detection chip of Intelligent worn device gathers the ECG information of user, carries out corresponding calculating, judges that obtaining waveform ID value is encrypted as key.Encrypt successfully and point out user, and automatically exit encryption mode, Intelligent worn device can normally be worked.
As shown in Figure 3, ECG information to comprise on multiple electrocardiographic wave, waveform coordinate figure a little, the cycle of an electrocardiographic wave, sampling frequency.Heart is jumped and is once occurred that one-period is the waveform of T s.In described step S200, the calculating of described characteristic value comprises the radius of curvature of calculating P ripple and T ripple to obtain its crest value, and the characteristic information vector calculating QRS ripple obtains its crest value.Suppose P ripple, the function that QRS involves the crest of T ripple corresponding 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).
Described step S200 specifically comprises:
The minimum profile curvature radius of step 201, calculating P ripple, QRS ripple and T ripple.
P ripple and T ripple are a kind of sinusoidal wave as can be seen from Figure 3, according to P ripple and its crest of this feature calculation of T ripple and crest trend thereof, the radius of curvature calculating P ripple and T ripple can be adopted to be converted into the collection of crest characteristic point.Find minimum profile curvature radius according to the value of the some x, y, z on waveform in the diagram, computing formula is
.When δ is maximum, radius of curvature is just minimum.The rate of rise of P ripple and T ripple can be obtained according to the value of δ.QRS ripple is triangular wave, also adopts minimum profile curvature radius to calculate and obtains its rate of rise trend.
Then according to the formula of this minimum profile curvature radius, Fourier characteristic coefficient and normalization conversion is carried out.The i.e. number of step 202, calculating P ripple and T ripple sample point in Preset Time, Random assignment sample point on P ripple and T ripple also extracts.
For P ripple, Preset Time is one minute.Suppose the standard rhythm of the heart of people be 80 times per minute, then the cycle of an electrocardiographic wave (the one-period Ts namely in Fig. 3) is 0.75 second (60s/80 time), has 80 cycles in one minute.If sampling frequency is 8000Hz, so a rhythm of the heart is that the ecg cycle of 80 times is just containing 6000(0.75s × 8000Hz) individual sample point, this is the sample point Nn of the standard rhythm of the heart.
Can Random assignment 6000 sample points on P ripple, or adopt and a sample point is set every the reference time (as 0.01s or 0.005s) distributes.If beats changes, sample point also can respective change, bar as per minute in somebody 74 times or 88 times, then the cycle correspondence of an electrocardiographic wave becomes about 0.81s or 0.68s, and sample point is 6480 or 5440 accordingly, always in the change up and down of 6000 these standard values of sample point.
S203, discrete Fourier transform (DFT) and normalization are carried out to P ripple and T ripple.
In this step, first to calculate the characteristic value of the sample point of P ripple and T ripple.For P ripple, the calculating of characteristic value first its sample point is formed a new waveform, namely carries out Fourier transform, to understand the variation tendency of these sample points.
The length of electrocardiographic wave h (n) (i.e. 80 cycles in one minute) supposing the entirety obtained is N, and its discrete Fourier transform is:
.Wherein, 0<=k<=N-1.Because the N of reality may be larger than Nn (Nn=6000) also possible little, then define the length of electrocardiographic wave than α=N/Nn, if α is >1, then record the rhythm of the heart higher than the standard rhythm of the heart, if α is <1, lower than the standard rhythm of the heart.Fourier transform can make the data of P ripple and T ripple tend to stabilisation more.
Then need to be normalized the value of sample point, the sample point that retention is close, the sample point that filtering gap is larger.If number of sampling points is fixed as Nn(6000), a scalar Tn need be set, Tn=Ts/ α, Ts=1/fs.Normalized periodic signal function can be obtained thus:
, wherein, M is the highest integer frequency of ECG spectrum, is generally [0,100] Hz; Fs is the jumping frequency rate of pulse.
According to formula
, the value of the h (n) obtained is filled into the corresponding coordinate figure of x, y, z accordingly.The numerical value of abscissa corresponding to acquisition time, can directly represent with N.Ordinate is the numerical value of the voltage transitions longitudinally gathered, and rejects the centrifugal pump of wherein beating via Fourier transform and normalization.Wherein
coordinate for z deducts x coordinate,
coordinate for y deducts the coordinate of x.
Minimum profile curvature radius is found also just to find crest value.Also can obtain the Curvature varying of ripple i.e. the variation tendency of ripple according to the change of vector simultaneously.All data of obtaining and variation tendency are formed corresponding encrypting database store.The account form of the crest function of T ripple is identical with P ripple, does not repeat herein.Encrypting database is the function f (H corresponding to crest of P ripple, T ripple
p), f (H
t).
Then the characteristic information amount calculating QRS ripple obtains function corresponding to the crest of QRS ripple;
Because QRS ripple is different with T ripple from P ripple, its account form is not identical yet.Suppose to gather a Z section heartbeat wave band Z={Z
i, include C class, wherein comprise C altogether in each class
iindividual wave band collection, contains altogether
individual wave band.A wave band is assumed to be z
ij.All wave bands all with the crest of QSR ripple for basic point, length is L, be less than L with 0 polishing, then the covariance matrix of QRS ripple is
, S is the square formation of N × N,
for average wave band collection.The characteristic value and the characteristic vector that calculate S also press descending order arrangement, obtain characteristic sequence λ
i, i=1,2 ... L, in order to convenience of calculation gets M main component M<L, obtains characteristic information amount η,
, sort out the data of η, obtain corresponding data sequence composition encrypting database, this encrypting database is function f (H corresponding to the crest of QRS ripple
qRS).
Step 204, obtain waveform ID value according to function corresponding to the crest of P ripple, T ripple, QRS ripple.
In sum, overall classification function f (ID) ∝ Δ=f (f (H
p), f (H
qRS), f (H
t), Ts).(Δ is integrated environment variable quantity).F (ID) is waveform ID value.
Because the beat pulse of human body is in units of 1Hz, based on the interference that environment or physiologic factor gather electrocardiogram, a certain amount of sample information is needed to combine.In order to analyze quantitatively more exactly, best continuous acquisition is advisable for more than 2 minutes.If the execution per minute of above-mentioned computational process is once, then judges that the continuous waveform ID value obtained for 3 times is identical, then this waveform ID value be encrypted as key, and this waveform ID value is stored into the erasable power-down protection storage of the Flash(specified) in.Under being in different active state or physiological status based on human body, heartbeat is different, considers the impact of these factors.Therefore, in described step S300, namely the identical waveform ID value referring to several times of waveform ID value that continuous several times calculate all judges identical in preset range.
It is to be appreciated that due to the calculating of characteristic value relevant with sample point, and sample point is Random assignment.The key obtained when then at every turn encrypting is different, considerably increases the difficulty of key attack like this, protects the privacy of user.
Refer to Fig. 5, based on the encryption method of above-mentioned Intelligent worn device, the present invention is the corresponding decryption method providing a kind of Intelligent worn device also, and it comprises:
Detect whether have beat pulse during the start of S10, Intelligent worn device, if enter decryption mode, then do not enter standby mode;
S20, gather ECG information, in electrocardiographic wave, extract the sample point of predetermined number and calculate the characteristic value of sample point, calculating waveform ID value according to described characteristic value;
S30, judge waveform ID value whether in key error tolerance, be decipher, otherwise keep standby mode.
When Intelligent worn device is started shooting, whether heartbeat detection chip first detects has beat pulse, as do not stopped detection, representing that user does not bring Intelligent worn device, now can enter standby mode, also automatically can close Intelligent worn device.Described standby mode represents that this Intelligent worn device is not deciphered and can not work.Under this standby mode, as long as detect beat pulse (as user after starting shooting brings Intelligent worn device) just can enter decryption mode.
In described step S20, first can gather the electrocardiographic wave of one-period (waveform as a Ts cycle in Fig. 3).Changed by matrix based on 6000 sample points, arrange sort out, so actual specific compared with data concentrated on certain region.Gathering 6000 points is to can comprehensively analyze relative data, suitably can reduce the amount of sample point, accelerate versus speed in the process of the double secret key ratio of reality.In one cycle, the sample point of predetermined number (1000) can be extracted, calculate the characteristic value of these sample points according to computational process during encryption, thus obtain the characteristic information amount of P ripple, QRS ripple, T ripple.Final waveform ID value can be obtained.
The comparison that waveform ID value MCU process obtained and Flash store, if the waveform ID value of current calculating is in key error tolerance, then represent successful decryption, Intelligent worn device enters normal operating conditions.If not in key error tolerance, continue that sample point extraction and characteristic value are carried out to the electrocardiographic wave of next cycle, the calculating of characteristic information amount judges.If the electrocardiographic wave of connection judgment predetermined period (as 10 cycles) all cannot mate, then prompting is deciphered unsuccessfully, can keep standby mode or directly shut down.
Based on environmental factor and physiological impact, the electrocardiographic wave of user has certain difference.The present embodiment arranges key error tolerance, namely the waveform ID value calculated carries out relative fault tolerant mechanism with the process of key comparison, be that benchmark arranges about one scope fluctuated with key, as long as the waveform ID value calculated is within the scope of this, can think that the waveform ID value calculated is equal with key.
See also Fig. 6, based on the encryption method of above-mentioned Intelligent worn device, the present invention is also corresponding provides a kind of ciphering and deciphering device, comprises heartbeat detection chip 1 and CPU 2;
When described CPU 2 enters encryption mode, heartbeat detection chip obtains the ECG information of user; CPU calculates the characteristic value of sample point in described ECG information, calculates waveform ID value, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value be encrypted as key and store according to described characteristic value.
Detect whether have beat pulse, if having control CPU to enter decryption mode, if do not enter standby mode when described heartbeat detection chip is also for starting shooting;
Under decryption mode, heartbeat detection chip gathers ECG information and is transferred to CPU, CPU extracts the sample point of predetermined number and calculates the characteristic value of sample point in electrocardiographic wave, waveform ID value is calculated according to described characteristic value, judge waveform ID value whether in key error tolerance, be decipher, otherwise enter standby mode.
In sum, the present invention utilizes the heartbeat detection chip arranged in existing Intelligent worn device to obtain the unique ECG information of user, carry out correlation computations with the data of sample point on wave band each in electrocardiogram and obtain waveform ID value, with this waveform ID value for key carries out automatically encryption and decryption; Easy to operate without the need to user record password, can not take the inner space of Intelligent worn device.
Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, and all these change or replace the protection range that all should belong to the claim appended by the present invention.
Claims (9)
1. an encryption method for Intelligent worn device, is characterized in that, comprising:
A, when entering encryption mode, obtain the ECG information of user;
B, calculate the characteristic value of sample point in described ECG information, calculate waveform ID value according to described characteristic value;
C, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value to be encrypted as key.
2. the encryption method of Intelligent worn device according to claim 1, is characterized in that, described steps A specifically comprises:
The minimum profile curvature radius of A1, calculating P ripple, QRS ripple and T ripple;
The number of A2, calculating P ripple and T ripple sample point in Preset Time, Random assignment sample point on P ripple and T ripple also extracts;
A3, P ripple and T ripple carried out to function corresponding to crest that discrete Fourier transform (DFT) and normalization obtain P ripple, T ripple; Calculate the characteristic information amount of QRS ripple, obtain the function that the crest of QRS ripple is corresponding;
A4, the function corresponding according to the crest of P ripple, T ripple, QRS ripple obtain waveform ID value.
3. the encryption method of Intelligent worn device according to claim 2, is characterized in that, in described steps A 2, the cycle that the number of described sample point equals an electrocardiographic wave is multiplied by sampling frequency;
Sample point Random assignment on P ripple, QRS ripple and T ripple, or distribute a sample point every the reference time.
4. the encryption method of Intelligent worn device according to claim 2, is characterized in that, in described steps A 3, P ripple and T ripple is carried out to discrete Fourier transform (DFT) and normalization obtain P ripple, function that the crest of T ripple is corresponding specifically comprises:
A31, sample point formed a new waveform, be normalized again after carrying out Fourier transform;
A32, the value obtained after normalization brought into function corresponding to crest that minimum profile curvature radius obtains P ripple, T ripple.
5. the encryption method of Intelligent worn device according to claim 4, is characterized in that, in described steps A 4, waveform ID value is f (ID) ∝ Δ=f (f (H
p), f (H
qRS), f (H
t), Ts), wherein, f (H
p), f (H
qRS), f (H
t) be respectively function corresponding to the crest of P ripple, QRS ripple and T ripple; Ts is the cycle of an electrocardiographic wave, and Δ is integrated environment variable quantity.
6. a decryption method for Intelligent worn device, is characterized in that, comprising:
Detect whether have beat pulse during the start of a, Intelligent worn device: perform step b if having; Then do not enter standby mode;
B, enter decryption mode, gather ECG information, in electrocardiographic wave, extract the sample point of predetermined number and calculate the characteristic value of sample point, calculating waveform ID value according to described characteristic value;
C, judge waveform ID value whether in key error tolerance, be decipher, otherwise enter standby mode.
7. the decryption method of Intelligent worn device according to claim 6, is characterized in that, in described step c, described key error tolerance take key as about one scope fluctuated that benchmark is arranged.
8. an Intelligent worn device, is characterized in that, comprises ciphering and deciphering device, and described ciphering and deciphering device comprises heartbeat detection chip and CPU;
When described CPU enters encryption mode, heartbeat detection chip obtains the ECG information of user; CPU calculates the characteristic value of sample point in described ECG information, calculates waveform ID value, when judging that the waveform ID value that continuous several times calculate is identical, described waveform ID value be encrypted as key and store according to described characteristic value.
9. the ciphering and deciphering device of Intelligent worn device according to claim 8, is characterized in that, detects whether have beat pulse, if having control CPU to enter decryption mode, if do not enter standby mode when described heartbeat detection chip is also for starting shooting;
Under decryption mode, heartbeat detection chip gathers ECG information and is transferred to CPU, CPU extracts the sample point of predetermined number and calculates the characteristic value of sample point in electrocardiographic wave, waveform ID value is calculated according to described characteristic value, judge waveform ID value whether in key error tolerance, be decipher, otherwise enter 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 |
| CN117131528A (en) * | 2023-09-04 | 2023-11-28 | 苏州派博思生物技术有限公司 | OEM information customization method and system |
| 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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