CN109065163A - Tcm diagnosis service platform - Google Patents
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- CN109065163A CN109065163A CN201810795128.XA CN201810795128A CN109065163A CN 109065163 A CN109065163 A CN 109065163A CN 201810795128 A CN201810795128 A CN 201810795128A CN 109065163 A CN109065163 A CN 109065163A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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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
- A61B5/48—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
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
A kind of tcm diagnosis service platform, including pulse condition collecting device, mobile terminal and server, the pulse condition collecting device is communicated with mobile terminal by the holding of wired or communication, exchange data and/or control instruction, the pulse condition collecting device is for being acquired the pulse condition of patient, mobile terminal makes the diagnosis of health status according to the pulse condition of the patient received, server is connect by wireless communication with mobile terminal, patient's pulse profile data that mobile terminal uploads is received, and the diagnosis of mobile terminal is provided and is revised one's view.
Description
Technical field
The invention belongs to medical diagnostic equipment technical fields, in particular to tcm diagnosis service platform.
Background technique
For a long time, Traditional Chinese Medicine diagnosis by feeling the pulse relies primarily on the subjective consciousness judgement of doctor, largely by doctor's
Various influences such as professional standards, clinical experience, diagnostic skill, while again can be by the interference of the factors such as ambient enviroment.These
Shortcoming hinders the development and application of diagnosis by feeling the pulse to a certain extent.Since the seventies, it is objective that domestic and foreign scholars have carried out diagnosis by feeling the pulse
Change research, have developed a series of intelligent pulse condition detection devices, as ZM type electropulsograph, TP-I type tongue vein as digital assay instrument,
ZBOX-I type tongue vein achieves certain achievement as digital assay instrument and three pulse condition detectors etc., but still Shortcomings:
(1) electropulsograph is mainly used in teaching, R&D institution at present, and hospital application is less, and complicated for operation, it is difficult to promote；(2) arteries and veins
It is not portable as instrument volume is larger, it is difficult to accomplish to detect whenever and wherever possible；(3) electropulsograph needs to be connected to a computer mostly,
The transmission and detection that can complete pulse profile data can not accomplish wireless or remote transmission etc..
Patent document CN104083147A discloses a kind of Chinese Medicine Diagnoses System, which is characterized in that includes client, clothes
Device be engaged in processing control: the client includes: input control: for inputting the person's of being examined information and the person's of being examined bibliographic information；Number
According to acquisition control: for acquiring by the pulse for the person of examining, breathing and other information；Data pre-processing control: for the letter to acquisition
Breath is filtered to be fitted with data；Data analysis component: for dividing the pulse and breath signal after data pre-processing
Analysis；Data Integration and send control: for pulse and breath data and patient after analyzing data self-report data into
Row integration and transmission；The server includes: data receive and buffer: for receiving client data integration and sending control
The information of transmission is simultaneously kept in；Combinatory analysis device: for being combined to Data Integration with the data for sending control integration, shape
At Chinese medicine pulse；Database module: for storing various " diseases " of Chinese medicine；Evaluator: for combine Chinese medicine pulse information with
And database module information carries out Chinese medicine " disease " evaluation to the person of being examined；Data memory module: for evaluating Chinese medicine " disease "
Electronic information carry out data storage；Data send control: for the electronic information that Chinese medicine " disease " is evaluated to be sent to processing
Control；The processing control includes: storage control: for storing the electronic information of received Chinese medicine " disease " evaluation；Display:
Electronic information for evaluating received Chinese medicine " disease " carries out real-time display；Word depghi: for printing received Chinese medicine
" disease " evaluation information；GetIpUpDown: for carrying out information transmission to given client end.
Summary of the invention
The present invention provides a kind of tcm diagnosis service platforms, it is therefore an objective to provide a kind of based on can portable TCM pulse diagnosis
System.
One of the embodiment of the present invention, a kind of tcm diagnosis service platform, including pulse condition collecting device, mobile terminal kimonos
Business device.
The pulse condition collecting device and mobile terminal communicates by the holding of wired or communication, exchange data with/
Or control instruction,
The pulse condition collecting device is for being acquired the pulse condition of patient, and mobile terminal is according to the pulse condition of the patient received
The diagnosis of health status is made,
Server is connect by wireless communication with mobile terminal, receives patient's pulse profile data that mobile terminal uploads, and right
The diagnosis of mobile terminal, which provides, to revise one's view.
The present invention objectifies on Research foundation in previous pulse wave spectrum, minimizes, establishes wearable to pulse condition collecting system
Formula pulse-tracing collection equipment code, standardized method.Simultaneously with the Artificials such as time-domain analysis, Hemodynamics intelligence
Method optimizes arteries and veins graph parameter, establishes pulse condition Classification and Identification model.
Wearable device based on information of pulse examination of the invention realizes the real-time detection and analysis of pulse condition information, with data
Image conversion, visual form evaluate the health status (vascular function state, physiological age etc.) of user.
Detailed description of the invention
The following detailed description is read with reference to the accompanying drawings, above-mentioned and other mesh of exemplary embodiment of the invention
, feature and advantage will become prone to understand.In the accompanying drawings, if showing by way of example rather than limitation of the invention
Dry embodiment, in which:
Chinese Medicine Diagnoses System composition schematic diagram in Fig. 1 embodiment of the present invention.
Tcm diagnosis service platform composition schematic diagram in Fig. 2 embodiment of the present invention.
Specific embodiment
According to one or more embodiment, as shown in Figure 1, a kind of Chinese Medicine Diagnoses System, including pulse condition collecting device and
Mobile terminal.The pulse condition collecting device and mobile terminal communicates by the holding of wired or communication, exchange data with/
Or control instruction.The pulse condition collecting device is for being acquired the pulse condition of patient, and mobile terminal is according to the patient's received
Pulse condition makes the diagnosis of health status.
In Fig. 2, pulse condition collecting device includes microprocessor, pressure sensor, display screen and blue tooth interface chip, and pressure passes
Sensor, display screen and bluetooth are respectively connected to the port of microprocessor, and pressure sensor is used to obtain the pulse signal of patient, display
For screen for showing the pulse data of patient and the working condition of pulse condition collecting device, blue tooth interface chip passes through Bluetooth communication protocol
Pulse signal is transmitted to mobile terminal.
The pulse condition collecting device is wearable structure, can be worn at the tested position on human body.Wearable pulse condition
Acquisition hardware system first turns on mobile phone terminal APP, while starting wearable pulse-tracing collection hardware system, complete by cell phone application
It is connected at the pairing of hardware system and software systems.Pulse signal is obtained by pressure sensor apparatus later, by bluetooth, will be believed
It number is transferred to mobile phone terminal, image preprocessing, feature extraction and pulse condition identification classification etc. are carried out, thus in mobile phone terminal storing data.
Wherein, pressure sensor and bluetooth are respectively with HK-2000H pressure sensor, MX1001 bluetooth module and mCube_UCM_MB_
V0.1 development board is that core component forms wearable pulse-tracing collection hardware system.
According to one or more embodiment, the structure of pulse condition collecting device is Bracelet structure, and the material of bracelet watchband is adopted
With medical silica-gel material.
According to one or more embodiment, the APP system of mobile terminal includes link block, acquisition module, interrogation mould
Block, analysis module, reporting modules.Link block, the pairing for mobile terminal and pulse condition collecting device connect；Acquisition module,
Pulse profile data is obtained from pulse condition collecting device, shows arteries and veins figure on mobile terminals；Interrogation module, according to Chinese medicine differentiation of eight principles with it is dirty
Internal organs is dialectical, formulates and proposes health problem to patient；Analysis module carries out feature extraction for patient's pulse condition collected
Classify with identification, pulse condition is quantified, and intuitively shows；Reporting modules provide diagnosis report, comprising: arteries and veins name, pulse frequency, pulse condition
Characteristic ginseng value, BMI value, vascular function state and physiological age.Vascular function state embodies blood vessel elasticity situation, main to show
Whether to harden, physiological age refers to according to blood vessel elasticity situation, determines the gap with actual age.
According to one or more embodiment, in the analysis module of Chinese Medicine Diagnoses System, using GBDT model classifiers
Classify for being identified to pulse condition.In analysis module, for pulse wave using the replay wave height h in time-domain analysis3/h1, in drop
Gorge height h4/h1, pulsewidth w/t and reflection factor RF,Characteristic of division as pulse condition.Pretreatment for pulse wave includes: baseline
Drift processing, noise reduction and period divisions.
In the present embodiment, pulse condition feature extraction and classifying is carried out to 1951 samples, thus Optimized model.Its thinking is
Pulse condition is subjected to baseline drift processing, noise reduction and segmentation period etc. first.By time domain, Studies on Hemodynamic Changes method acquisition can
To reflect the numerical characteristic of pulse condition.Wherein, include: for pulse condition pretreatment
Baseline drift processing.Due to the influence of the factors such as breathing, it will lead to pulse image during acquiring pulse condition and go out
The phenomenon that existing baseline drift, it also will affect subsequent pulse condition feature extraction.Therefore need to remove this phenomenon of baseline drift, so that
Baseline is in a horizontal stable state.The method for removing baseline drift is exactly to carry out 8 layers to pulse wave using sym8 small echo
It decomposes.The 8th layer of approximate part decomposed, it includes frequency it is similar to the respiratory rate of human body, therefore this can be deduced
Part is exactly to be influenced by breathing, and cause the part of baseline drift, therefore, this part can be averaged as constant,
The horizontal waveform new as one, in this, as the 8th layer of new approximate part, then together with other details part, by small
Wave restores, and obtains the new pulse wave of removal baseline drift.
Noise is eliminated.Hz noise existing for equipment, there are random myoelectricity interferences when sampling.Wavelet threshold can be passed through
Noise reduction obtains a smooth pulse wave signal.
Mainly using using bior3.5 as the soft-threshold denoising of morther wavelet.Directly original pulse wave is denoised.First
It to original waveform, normalizes in [0,100] range, the smooth pulse then in renormalization, after obtaining removal industrial frequency noise
Wave.
Divide the period.Period divisions, that is, find the beginning and end in each period, and it is broken to be partitioned into monocycle pulse wave according to this
Piece.The terminal of the starting point in this period and upper a cycle.And the starting point of signal period can be trough in signal period and
In minimum value or signal period, the starting point of maximum ascending branch.In the present embodiment, the latter's rising as signal period is selected
Point.
First derivative is asked to waveform, then the first derivative sequence of waveform is encoded.If derivative value is less than or equal to
0, then it is encoded to 0；And derivative value is greater than 0, then is encoded to 1.The subsequence continuously for 1 is then looked for, if being continuously 1 sub- sequence
Column length is more than a threshold value.Then the starting point of this string subsequence is exactly the starting point of our signal periods to be looked for.
Include: for pulse condition characteristic extraction procedure
Time-domain analysis.The height of temporal analysis Main Analysis pulse wave wave amplitude and the relationship of pulsation phase.Time-domain analysis
Method is one kind the most commonly used in pulse analysis method, research also relative maturity, therefore the temporal analysis work that introducing is classical
For control.Time-domain analysis to the effect that reads the multiple parameters such as the wave of arteries and veins figure, the height (h) in gorge, corresponding duration (t).
The main pulse parameter that temporal analysis obtains is as follows:
h1: the amplitude of main wave, the main Ejection function for reflecting left ventricle and aortic compliance.
H3: wave amplitude before dicrotic pulse is height of the dicrotic pulse prewave summit to pulse wave figure baseline, main to reflect arteries bullet
Property and peripheral resistance state.
H4: dicrotic notch amplitude is height of the dicrotic notch the lowest point to pulse wave figure baseline.Mainly hindered with arteries periphery
Power, aortic valve closing function are related.
h3/h1: the amplitude of dicrotic pulse prewave and its ratio with main wave amplitude, the main compliance for reflecting vascular wall and periphery
Resistance.
h4/h1: the amplitude of dicrotic wave and its ratio with main wave amplitude, it is main to reflect peripheral resistance height.
h5/h1: the amplitude of dicrotic wave and its ratio with main wave amplitude, it is main to reflect aorta compliance and aorta petal
Function situation.
W/t: width value and the ratio of pulsation period on main wave at 1/3 height are equivalent to the intra-arterial continuous high-pressure time
The proportion in the pulsation period.Main reflection ductus arteriosus wall elasticity and peripheral resistance size, are the main differentiations of taut pulse, smooth pulse
One of index.
T: for pulse wave figure from starting point to duration experienced eventually, i.e., one is completely moved the period.
Studies on Hemodynamic Changes.From Hemodynamics principle, the formation of pulse waveform and the propagation of pulse wave and
Reflection characteristic is related.It is also widely used based on method of the Hemodynamics principle to the extraction and analysis of Chinese medicine pulse characteristics.
PWV: i.e. pulse wave velocity shows the common counter of pulse wave characteristic in Hemodynamics；
Rf: i.e. reflection factor can reflect the intensity of back wave in arterial.
PWV and Rf in this research are the hemodynamic parameters calculated according to pressure arteries and veins figure.
In the present embodiment, for pulse condition classifying identification method mainly according to target classification pulse condition for all pulse condition features into
Row screening respectively enters the identification and classification that pulse condition is carried out in different disaggregated models according to selected feature later.Firstly, according to
The target pulse condition for needing to classify carries out the screening of pulse condition feature, the feature that then will be screened, benefit to the susceptibility of different characteristic
Different pulse conditions, which is established, with different classifications method identifies disaggregated model, it is final to choose optimal classification model.Wherein, feature selecting is
Refer to and establishes one based on feature in original variable data basis with corresponding characteristics algorithm in original variable data
Collection, and these subsets are to be best suitable for the Feature Selection standard of setting.This part mainly uses filtering type feature selecting to all
Pulse parameter is screened, and the higher feature of score is selected, the foundation and optimization convenient for the later period to pulse condition identification disaggregated model.
After pre-processing and extracting feature, scored using filtering type Method for Feature Selection pulse characteristics.Wherein,
Replay wave height h3/h1, dicrotic notch height h4/h1, pulsewidth w/t and reflection factor RfScoring take the first four place position, therefore select
This four features are as main characteristic of division.
Due to the extraction and analysis of Chinese medicine pulse feature, the accuracy rate of subsequent Chinese medicine pulse identification classification is directly affected.Cause
This, selects suitable Chinese medicine pulse characteristic value to be necessary.In the present invention, select Feature Selection method according to each characteristic value institute
Goals for selects the higher first four characteristic value of score, respectively h3/h1, h4/h1, w/t and Rf.Meanwhile correct classification side
Method also contributes to the accuracy rate of Chinese medicine pulse identification classification.Selected in the present embodiment SVM, KNN, Fisher discriminant analysis and
Tetra- kinds of classification methods of GBDT are compared.On the basis of four kinds of selected characteristic values, for smooth pulse, string smooth pulse, taut pulse and
Normal pulse carries out Classification and Identification, and recognition result is compared, from the results of view:
The accuracy rate that GBDT method identifies pulse condition is higher, and SVM, KNN and Fisher discriminant analysis identify pulse condition
Accuracy rate it is lower.Every group of recognition accuracy describes.Therefore, GBDT is selected to identify the master with classification as Chinese medicine pulse
Want method.
According to one or more embodiment, in Chinese Medicine Diagnoses System, the classification method to patient pulse's pulse condition is:
One section of stable pulse wave is filtered out from pulse wave data is used as screening foundation,
Monocycle duration and h after determining pulse wave segmentation1Highly, h1It is fluctuated in 5% range with monocycle duration,
The starting point of pulse wave Start Fragment is found, N number of point is then taken backward, constitutes the segment of a sample；
After the segment for being length M by the pulse condition fragment segmentation for needing to classify, GBDT model is put into Pulse LSTM
In, by the output of last time, the result classified by full articulamentum as pulse condition.
According to one or more embodiment, as shown in Figure 2.A kind of tcm diagnosis service platform, including pulse-tracing collection dress
It sets, mobile terminal and server.Mobile terminal can use mobile phone.The pulse condition collecting device and mobile terminal by wired or
Communication keeps communication, exchanges data and/or control instruction.Pulse condition collecting device is for adopting the pulse condition of patient
Collection, mobile terminal make the diagnosis of health status according to the pulse condition of the patient received.Server and mobile terminal pass through wireless
Communication connection receives patient's pulse profile data that mobile terminal uploads, and provides and revise one's view to the diagnosis of mobile terminal.
The server includes communicator, processor and memory,
For the communication with mobile terminal, memory is used to store computer program and pulse profile data communicator,
Processor is for executing the diagnostic program stored in memory, so that server execution divides patient pulse's pulse condition
Class.
It is worth noting that although foregoing teachings are by reference to several essences that detailed description of the preferred embodimentsthe present invention has been described creates
Mind and principle, it should be appreciated that, the invention is not limited to the specific embodiments disclosed, the division also unawareness to various aspects
Taste these aspect in feature cannot combine, it is this divide merely to statement convenience.The present invention is directed to cover appended power
Included various modifications and equivalent arrangements in the spirit and scope that benefit requires.
Claims (6)
1. a kind of tcm diagnosis service platform, including pulse condition collecting device, mobile terminal and server,
The pulse condition collecting device is communicated with mobile terminal by the holding of wired or communication, and data and/or control are exchanged
System instruction,
The pulse condition collecting device for being acquired to the pulse condition of patient, make according to the pulse condition of the patient received by mobile terminal
The diagnosis of health status,
Server is connect by wireless communication with mobile terminal, receives patient's pulse profile data that mobile terminal uploads, and to movement
The diagnosis of terminal, which provides, to revise one's view.
2. tcm diagnosis service platform according to claim 1, which is characterized in that
The pulse condition collecting device includes microprocessor, pressure sensor, display screen and blue tooth interface chip,
Pressure sensor, display screen and bluetooth are respectively connected to the port of microprocessor,
Pressure sensor is used to obtain the pulse signal of patient,
Display screen for showing the pulse data of patient and the working condition of pulse condition collecting device,
Blue tooth interface chip transmits pulse signal to mobile terminal by Bluetooth communication protocol；
The APP system of the mobile terminal includes link block, acquisition module, interrogation module, analysis module, reporting modules,
Link block, the pairing for mobile terminal and pulse condition collecting device connect；
Acquisition module obtains pulse profile data from pulse condition collecting device, shows arteries and veins figure on mobile terminals；
Interrogation module is formulated according to Chinese medicine differentiation of eight principles and syndrome differentiation of zang-fu viscera and proposes health problem to patient；
Analysis module carries out Feature extraction and recognition classification, pulse condition is quantified for patient's pulse condition collected, and intuitive
It has been shown that,
Reporting modules provide diagnosis report, comprising: arteries and veins name, pulse frequency, pulse condition characteristic ginseng value, BMI value, vascular function state with
Physiological age, vascular function state embody blood vessel elasticity situation, are mainly shown as whether harden, physiological age refers to according to blood vessel bullet
Character condition determines the gap with actual age.
3. tcm diagnosis service platform according to claim 2, which is characterized in that in analysis module, using GBDT mould
Type classifier, which is used to identify pulse condition, classifies.
4. tcm diagnosis service platform according to claim 2, which is characterized in that in analysis module, for pulse wave
Using the replay wave height h in time-domain analysis3/h1, dicrotic notch height h4/h1, pulsewidth w/t and reflection factor Rf, as pulse condition
Characteristic of division.
5. tcm diagnosis service platform according to claim 2, which is characterized in that the pretreatment for pulse wave includes:
Baseline drift processing, noise reduction and period divisions.
6. tcm diagnosis service platform according to claim 2, which is characterized in that
The server includes communicator, processor and memory,
For the communication with mobile terminal, memory is used to store computer program and pulse profile data communicator,
Processor is for executing the diagnostic program stored in memory, so that server executes the classification to patient pulse's pulse condition,
It comprises the concrete steps that:
One section of stable pulse wave is filtered out from pulse wave data is used as screening foundation,
Monocycle duration and h after determining pulse wave segmentation1Highly, h1It is fluctuated in 5% range with monocycle duration,
The starting point of pulse wave Start Fragment is found, N number of point is then taken backward, constitutes the segment of a sample；
After the segment for being length M by the pulse condition fragment segmentation for needing to classify, GBDT model is put into PulseLSTM, it will
The output of last time, the result classified by full articulamentum as pulse condition.
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| CN111801047B (en) * | 2018-12-25 | 2022-07-12 | 深圳市大富智慧健康科技有限公司 | Blood pressure pulse condition detection system and detection method and detection device thereof |
| CN110432874A (en) * | 2019-07-26 | 2019-11-12 | 清华大学 | A kind of processing method and processing device of pulse wave |
| CN110432874B (en) * | 2019-07-26 | 2020-06-02 | 清华大学 | Pulse wave processing method and device |
| CN111671403A (en) * | 2019-12-20 | 2020-09-18 | 新绎健康科技有限公司 | Method and system for detecting elasticity of blood vessel |
| CN110974300A (en) * | 2019-12-31 | 2020-04-10 | 苏州科技城医院 | Method for detecting and analyzing pulse condition by using ultrasonic pulse condition instrument and mobile phone APP |
| CN115736850A (en) * | 2023-01-05 | 2023-03-07 | 南京大经中医药信息技术有限公司 | Pulse data classification system and classification method |
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