CN108703748A - Health state evaluating method based on pulse wave harmonic wave - Google Patents
Health state evaluating method based on pulse wave harmonic wave Download PDFInfo
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- 230000036541 health Effects 0.000 title claims description 13
- 238000000034 method Methods 0.000 title claims description 13
- 230000003862 health status Effects 0.000 claims abstract description 9
- 238000007619 statistical method Methods 0.000 claims abstract description 4
- 238000001228 spectrum Methods 0.000 claims description 8
- 210000002216 heart Anatomy 0.000 claims description 5
- 210000004185 liver Anatomy 0.000 claims description 4
- 210000000936 intestine Anatomy 0.000 claims 1
- 210000001835 viscera Anatomy 0.000 abstract description 11
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000005622 photoelectricity Effects 0.000 abstract description 2
- 238000000605 extraction Methods 0.000 abstract 1
- 210000000056 organ Anatomy 0.000 description 9
- 238000011156 evaluation Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 238000003745 diagnosis Methods 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 4
- 210000004204 blood vessel Anatomy 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 210000003734 kidney Anatomy 0.000 description 3
- 230000033001 locomotion Effects 0.000 description 3
- 210000004072 lung Anatomy 0.000 description 3
- 238000012067 mathematical method Methods 0.000 description 3
- 230000001575 pathological effect Effects 0.000 description 3
- 210000000952 spleen Anatomy 0.000 description 3
- 210000002784 stomach Anatomy 0.000 description 3
- 238000001467 acupuncture Methods 0.000 description 2
- 210000001367 artery Anatomy 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 210000003516 pericardium Anatomy 0.000 description 2
- 230000035479 physiological effects, processes and functions Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 238000010009 beating Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 239000000571 coke Substances 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 210000002429 large intestine Anatomy 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 208000030159 metabolic disease Diseases 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 210000003491 skin Anatomy 0.000 description 1
- 210000000813 small intestine Anatomy 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 238000002834 transmittance Methods 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4854—Diagnosis based on concepts of traditional oriental medicine
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/40—Arrangements for reducing harmonics
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- Mathematical Physics (AREA)
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Abstract
The present invention measures human pulse wave using photoelectricity volume pulses measure technology and carries out simple venation wavelength-division of fighting and cuts, characteristics extraction and sequence are carried out using statistical method respectively to each harmonic wave of continuous single pulse wave, phase space is constructed on this basis and calculates probability density function, the health status of measured's viscera function can be assessed according to the logarithm normal distribution state of each harmonic wave probability density.
Description
Technical field
The present invention relates to a kind of health state evaluating methods, specially establish pulse wave harmonic wave and collaterals of human and dirty
A kind of mathematical method of internal organs health status incidence relation.
Background technology
Due to life style, operating pressure etc., current social inferior health incidence is high, however to inferior health
There are great difficulties for the actual inspection and treatment of state.Since its symptom is more complicated, assessment mode is more subjective and is difficult to
It is unified.It can not check that any organic disease, function sexually revise or metabolic disorder on the person in sub-health state, therefore base
It can not effectively be made a definite diagnosis in general medical means and method, thus can not treat or treat and be lack of pertinence.
In terms of human circulation angle, pulse wave is caused by the periodical bounce of heart, is passed through as a kind of quasi-periodicity signal
Blood vessel is transmitted to the whole body.So being influenced by a variety of physiology or pathological factor in its transmittance process, it may appear that speed, strong
The difference of degree, i.e., so-called strong and weak rapid point of pulse condition.By in pulse wave imply physiology, pathological information parses can
Efficient diagnosis is carried out to individual psychosomatic state.
From the perspective of Traditional Chinese Medicine diagnosis by feeling the pulse, the finger that can reflect health state is effectively extracted from pulse wave
Mark establishes pulse wave harmonic wave and will be helpful to push to human-body sub-health shape with channels and collaterals and the associated mathematical method of internal organs health status
The diagnosis of state, the evaluation and test of viscera health status realization.
Invention content
For the complexity for overcoming human body sub-health status to detect, present invention combination Chinese medicine collaterals of human is theoretical, designs number
Method establishes the incidence relation between pulse wave harmonic wave and channels and collaterals and internal organs health status, to reach the mesh of health evaluation and test
's.
The present invention obtains the original pulse signal of human body privileged site using photoelectricity volume pulse transducer.Design bandpass filtering
Device eliminates various interference and the noises such as baseline, and single pulse wave identification is carried out using difference clustering method.Each pulse wave is carried out
Fourier transform obtains the harmonic component of waveform, takes preceding 12 component of degree n n statistics each harmonic time delays, while analyzing frequency multiplication spy
Sign.Phase space reconfiguration is carried out to the harmonic characteristic value of continuous pulse wave, probability density function is calculated and carries out normal distribution fitting.
According to blood vessel resonance theory, it is believed that pulse wave each harmonic corresponds respectively to the acupuncture point of 12 channels and collaterals in theory of traditional Chinese medical science and corresponding dirty
Internal organs organ, the organ corresponding to these harmonic waves is followed successively by liver,kidney,spleen, lung, stomach, courage etc., so can be according to the normal distribution of harmonic wave
State carries out the health condition analysis of each organ of human body.
The technical scheme is that：
A kind of health state evaluating method based on pulse wave harmonic wave, its step are as follows：
1）Pulse wave at human body privileged site is obtained using photoplethysmographic detection method.
2）Due to there are the interference of the high-frequency noises such as power frequency, needing to be removed in signal using low-pass filter.Equally
It needs to eliminate the interference because of low-frequency noises such as the baseline drifts that human motion generates.Amid all these factors, we select band logical to filter
The completion of wave device is filtered.
3）Difference is asked to the consecutive points of pulse wave, clustering is carried out to gained difference：To removing mistake because of calculus of differences
The respective point of difference takes amplitude, carries out cluster again to amplitude and peak point can be obtained.Single pulse wave can be carried out according to peak value point value
Separation.
4）Fourier transform is carried out to single pulse wave after separation and obtains frequency signal, is extracted in pulse frequency spectrum first 12 times
The logarithm of harmonic amplitude is characterized value, by each harmonic characteristic value makeup time array of continuous pulse.
5) above-mentioned time series is subjected to phase space reconfiguration and seeks the probability density function corresponding to each harmonic.
6）Logarithm normal distribution fitting is carried out to the probability density of pulse wave harmonic wave.Since pulse wave each harmonic is right respectively
The acupuncture point of 12 channels and collaterals in theory of traditional Chinese medical science and corresponding internal organs organ are answered, they are followed successively by liver,kidney,spleen, lung, stomach, courage etc..Institute
The health state evaluation of each organ of human body can be carried out according to the normal distribution state of harmonic wave probability density.
The beneficial effects of the present invention are：
The present invention eliminates an anisotropic error factor with statistical method, with Mathematical Method pulse wave each harmonic with
A kind of incidence relation is established between the evaluation and test of human body corresponding organ health status.
Experiment shows that the present invention is feasible in terms of the inferior health of human body is evaluated and tested with each organ lesion prediction.The present invention
Effective theoretical and experimental basis is provided for subsequent analysis and implementation system.
Description of the drawings
Fig. 1 be the present invention experiment in from human finger acquire pulse wave signal；
Fig. 2 is pulse wave schematic diagram.Wherein, mark 1 is the main wave in oscillogram, and mark 2 is tidal wave or dicrotic pulse prewave, mark 3
For dicrotic wave, 4 dicrotic waves are marked；
Fig. 3 is the result that the experimental data of the present invention is fitted through normal distyribution function.
Specific implementation mode
The present invention uses photoplethysmographic detection method, and specific implementation mode is：It is placed in finger or specific pulse wave
The light source of acquisition position side sends out the light of specific wavelength, due to the light intensity of the non-beating tissue resorption such as skin, muscle, soft tissue
It does not change over, and the volumetric blood in artery is fluctuated with the diastole of heart and contraction cycle so that its light intensity absorbed
Variation synchronous with heart arteriopalmus, is also at this time a fluctuation signal by the luminous intensity that photoreceiver detects, as shown in Figure 1.
Since the movement of human body can cause motion artifacts, so the fluctuation signal detected can have baseline drift, while with power frequency
And High-frequency Interference, need design filter to be removed.Since the energy of pulse wave is mainly distributed on 0.5Hz~4.0Hz, herein
The realization of 9 rank IIR Butterworth filters is selected to be filtered.It is flatter in passband amplitude frequency curve according to Butterworth filter
The characteristics of falling to zero faster with suppressed frequency band, it is respectively 0.5~4hz and 0.2~6hz to choose passband and stop-band frequency, 3db and
40db is passband maximum attenuation and minimum attenuation in stop band, can filter out interference and the pulse wave of high-frequency noise
Frequency range.
Since the wave character of the pulse wave signal time domain between different people and under same person different pathological situation has
Prodigious difference, these differences are presented as that time domain pulse wave will present the different rhythm and pace of moving things, but the peak point difference in magnitude of same individual
It is different smaller.So the method for using difference cluster herein, i.e., seek difference to the consecutive points of pulse wave, in combination with clustering,
Extreme point is judged to obtain peak point.Based on difference clustering method the specific steps are：
1）Calculate signal forward difference calibration value.When difference is more than or equal to zero（The ascending branch of pulse）When, it defines constant；When difference is small
In zero（The descending branch of pulse）When, it is defined as zero.
2）It is the extreme point being likely to occur to record at calibration value change.
3）Calculate the difference of extreme point.If the difference of current point and the difference of latter point are not belonging to same class, can determine whether
This point is possible extreme value points, error dot of the preliminary removal due to signal burr.
4）Clustering is carried out to the amplitude of induction signal to possible extreme value points, data are divided into two classes with k-means methods,
Middle peak point is the classification of negligible amounts, is thus removed due to signal dicrotic wave（See Fig. 2）Peak point caused by error dot.
5）All qualified peak points are stored in array.
Efficiently separating for single pulse wave can be realized according to the above-mentioned minimum sought and maximum point.
Since the wave crest of the single pulse wave signal frequency spectrum in multiple tools very close period will appear certain deviation each other.With
The increase of pulse wave signal number of cycles, each secondary non-zero harmonic wave can be correspondingly formed specific probability distribution, so at this to list
Pulse wave carries out Fourier transform, for statistical analysis to continuous simple venation wave frequency spectrum signature of fighting, every in wave frequency spectrum of being fought with simple venation
Characteristic value of the amplitude as pulse wave spectrum signal at a Frequency point carries out phase space reconfiguration, by reconstructing to these characteristic values
Sequence can acquire probability density function using correlation integral.Probability density function calculating process can be analyzed to：
1）Input the matrix reconstructed；
2）Distance is asked to all the points in phase space；
3）Heaviside functions are called to calculate all Heaviside functional values and sum；
4）It calculates the value of correlation integral and seeks its density.
To obtain the statistical significance of integral density function, logarithm normal distribution fitting is carried out to it at this.In order to make experiment
Data are as accurate as possible, distinguish the more pulse waves of multi collect, the youth that acquisition crowd is 21~27 years old, experiment to every subject
When be in tranquility.After pulse wave is pre-processed, the probability density for taking out the data of 20s carries out lognormal fitting.Fig. 3 is
One of which fitting experimental data figure, from left to right overtone order be sequentially increased, first three subharmonic of the first behavior is as a result, the second row
It it is the 4th time to the 6th harmonic wave accordingly result, it is seen that each harmonic has preferable degree of fitting with logarithm normal distribution.
According to the organ resonance principle that professor Wang Weigong proposes, each organ, that is, heart of human body, liver,kidney,spleen, lung, stomach,
Courage, bladder, large intestine, three cokes, small intestine, pericardium channel are corresponding in turn to the 0-11 subharmonic arteries and veins in the frequency spectrum of pulse wave signal from low to high
Frequently, that is to say, that fundamental wave be the first multiplied frequency harmonic, by fundamental wave to the 4th harmonic wave corresponding to human body the five internal organs, behind each high order it is humorous
Wave mainly corresponds to channels and collaterals corresponding to six internal organs and pericardium.
Analysis result shows in the present invention：In the frequency spectrum of pulse wave signal, the i.e. corresponding average palmic rate of fundamental frequency, and phase
After wave group amplitude wave crest correspond to each multiplied frequency harmonic, corresponding harmonic frequency is the integral multiple of fundamental frequency, that is, palmic rate, this with
The conclusion proposed in Wang Wei work blood vessel resonance theories is consistent.
The fitting degree that the present invention carries out pulse wave harmonic wave normal distribution has carried out significance analysis.By repeatedly trying
It tests, calculates separately the sum for being fitted all harmonious wave fitting error amounts every time, obtain error of fitting minimum, m> when m=5;Error of fitting when 6
Increase.Meanwhile m> can be obtained by the judgement situation of normal approach;When=5, each harmonic corresponds to phase space reconstruction probability density and meets pair
Number normal distribution.Harmonic wave is mainly corresponding with internal organs and passages through which vital energy circulates, when qi-blood circulating state is in health status, phase space reconstruction
Probability density function shows logarithm normal distribution, shows probability density function and can be used for harmonic wave distribution detection, and harmonic wave divides
The exception of cloth generally means that the change of health status, therefore can be applied to the health degree evaluation and test to each internal organs of human body.
Claims (1)
1. a kind of health state evaluating method based on pulse wave harmonic wave, it is characterised in that：
1）Human body privileged site pulse wave beat signals are detected, are filtered to obtain effective letter after removal interference noise
Number, signal is split using difference threshold algorithm and identifies single pulse wave；
2）Fourier transform is carried out to single pulse wave and obtains spectrum signal, according to the SHG properties of pulse wave harmonic wave to continuous single
Pulse wave harmonic amplitude carries out eigenvalue and sequence；Phase space reconfiguration is carried out to harmonic characteristic value with statistical method,
Its probability density function is sought, the normal distribution state of corresponding harmonic wave probability density is analyzed；
3）Human heart, liver, taste, intestines courage functions are corresponded to according to the normal distribution state analysis of 12 subharmonic before pulse wave
Health status.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810628488.0A CN108703748B (en) | 2018-06-19 | 2018-06-19 | Human health state evaluation method based on pulse wave harmonic waves |
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| CN201810628488.0A CN108703748B (en) | 2018-06-19 | 2018-06-19 | Human health state evaluation method based on pulse wave harmonic waves |
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| CN108703748A true CN108703748A (en) | 2018-10-26 |
| CN108703748B CN108703748B (en) | 2023-06-16 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110974158A (en) * | 2019-10-23 | 2020-04-10 | 重庆特斯联智慧科技股份有限公司 | Community patient identification and distress calling method, system method and system based on deep learning |
| WO2020031106A3 (en) * | 2018-08-07 | 2020-06-11 | Goldtech Sino Ltd | Health maps for navigating a health space |
| CN114847889A (en) * | 2022-04-20 | 2022-08-05 | 河南省肿瘤医院 | Pulse reproduction method, device, storage medium, terminal equipment and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1543911A (en) * | 2003-11-13 | 2004-11-10 | 李士春 | Pulse-taking sensing system for traditional Chinese medical science |
| US20080103398A1 (en) * | 2006-10-31 | 2008-05-01 | Chin Ming Huang | Pulse Taking and Spectral Analysis and Display Instrument |
| CA2848498A1 (en) * | 2013-06-20 | 2014-12-20 | Mary Ann Weitnauer | Systems and methods for extracting physiological characteristics using frequency harmonics |
| CN104665803A (en) * | 2014-12-10 | 2015-06-03 | 上海理工大学 | Atrial fibrillation detecting system based on intelligent platform |
| CN106540374A (en) * | 2015-09-16 | 2017-03-29 | 赵光正 | System capable of generating qi-blood resonance corresponding to channels and collaterals of human body in traditional Chinese medicine |
-
2018
- 2018-06-19 CN CN201810628488.0A patent/CN108703748B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1543911A (en) * | 2003-11-13 | 2004-11-10 | 李士春 | Pulse-taking sensing system for traditional Chinese medical science |
| US20080103398A1 (en) * | 2006-10-31 | 2008-05-01 | Chin Ming Huang | Pulse Taking and Spectral Analysis and Display Instrument |
| CA2848498A1 (en) * | 2013-06-20 | 2014-12-20 | Mary Ann Weitnauer | Systems and methods for extracting physiological characteristics using frequency harmonics |
| CN104665803A (en) * | 2014-12-10 | 2015-06-03 | 上海理工大学 | Atrial fibrillation detecting system based on intelligent platform |
| CN106540374A (en) * | 2015-09-16 | 2017-03-29 | 赵光正 | System capable of generating qi-blood resonance corresponding to channels and collaterals of human body in traditional Chinese medicine |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020031106A3 (en) * | 2018-08-07 | 2020-06-11 | Goldtech Sino Ltd | Health maps for navigating a health space |
| CN110974158A (en) * | 2019-10-23 | 2020-04-10 | 重庆特斯联智慧科技股份有限公司 | Community patient identification and distress calling method, system method and system based on deep learning |
| CN114847889A (en) * | 2022-04-20 | 2022-08-05 | 河南省肿瘤医院 | Pulse reproduction method, device, storage medium, terminal equipment and system |
| CN114847889B (en) * | 2022-04-20 | 2023-07-18 | 河南省肿瘤医院 | Pulse reproduction method, device, storage medium, terminal equipment and system |
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Effective date of registration: 20181106 Address after: 200000 Shanghai, China (Shanghai) free trade zone, 14 Lane 1502, Lo Shan Road. Applicant after: SHANGHAI JIUJIANTANG HEALTH MANAGEMENT Co.,Ltd. Address before: 200433 302, 38 Lane 179 lane, Shun Shun Road, Yangpu District, Shanghai. Applicant before: Sun Ying Applicant before: Ye Ying |
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Effective date of registration: 20230524 Address after: Building C, 888 Huanhu West 2nd Road, Lingang New Area, Pudong New Area, Shanghai, November 2013 Applicant after: Zhongyu Life (Shanghai) Medical Technology Development Co.,Ltd. Address before: 200000 Shanghai, China (Shanghai) free trade zone, 14 Lane 1502, Lo Shan Road. Applicant before: SHANGHAI JIUJIANTANG HEALTH MANAGEMENT Co.,Ltd. |
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Effective date of registration: 20240327 Address after: March 2014 Room 929, Building 28, No. 6055 Jinhai Road, Fengxian District, Shanghai Patentee after: Shanghai Qianmai Health Technology Co.,Ltd. Country or region after: China Address before: Building C, 888 Huanhu West 2nd Road, Lingang New Area, Pudong New Area, Shanghai, November 2013 Patentee before: Zhongyu Life (Shanghai) Medical Technology Development Co.,Ltd. Country or region before: China |