CN106974640A - A kind of remote heart monitoring system - Google Patents
A kind of remote heart monitoring system Download PDFInfo
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- CN106974640A CN106974640A CN201710236438.3A CN201710236438A CN106974640A CN 106974640 A CN106974640 A CN 106974640A CN 201710236438 A CN201710236438 A CN 201710236438A CN 106974640 A CN106974640 A CN 106974640A
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
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Abstract
The embodiment of the invention discloses a kind of remote heart monitoring system, including data compression acquisition module, data transmission module, data analysis module and data feedback module.Processing is compressed according to compressive sensing theory electrocardiogram (ECG) data to be collected and heart sound data, is then acquired again；Compressed data are transmitted, then according to segmentation orthogonal matching pursuit algorithm, recovery is reconstructed to compressed data, to obtain original electrocardiogram (ECG) data and heart sound data, and doctor is sent it to；The result that doctor is diagnosed according to heart sound data and electrocardiogram (ECG) data to the heart of active user is received, diagnostic result is finally fed back into user.Compression processing has been carried out by the data to collection, the space-consuming of data is reduced, the efficiency of transmission of data is improved, reduce the occupancy of network internal storage, network communication capacity is improved, is conducive to improving the operating efficiency of remote heart monitoring system, improves user experience.
Description
Technical field
The present embodiments relate to medicine equipment preparing technical field, more particularly to a kind of remote heart monitoring system.
Background technology
With the fast pace of the modern life, angiocardiopathy not only the life of the serious more and more mankind of threat with it is strong
Health, and rejuvenation trend is presented, the inspection of early stage is to the prevention and control of angiocardiopathy with very big value.But
Be, because the mankind do not have time enough and energy periodically to receive Hospital medical physical examination, cause cardiovascular disease can not early detection,
It can not be controlled effectively and prevent, increase the dead probability triggered by cardiovascular disease.
Heart sound is closed by myocardial contraction, cardiac valves and blood hits to vibrate caused by ventricle wall, main artery wall etc. and produced
Raw sound；Electrocardio be heart in each cardiac cycle, by pacemaker, atrium, ventricle is in succession excited and the biological electricity that produces
Change.Electrocardio includes a large amount of physiologic informations and pathological information of heart with heart sound, can be used as the diagnosis for assessing heart
Parameter.Often through the heart sound and ecg information of collection user, the physiologic information and pathology letter of user's heart can be reflected
Breath.In consideration of it, a kind of remote heart monitoring system is arisen at the historic moment.
Remote heart monitoring system of the prior art by gathering the cardiac functional data of user, (believe by heart sound, electrocardio
Breath), remote transmission is evaluated active user's cardiac phase information to doctor, doctor according to these information.But, with
The quantity increase at family, the transmission of data generates substantial amounts of redundant data, so as to take a large amount of internal memories, adds each node
Energy loss, reduces network communication capacity, leads to not timely or quick by data transfer to be monitored to doctor terminal, delay use
Family obtains the time of diagnostic result.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of remote heart monitoring system, to improve message transmission rate, increase
Network communication capacity, improves the operating efficiency of remote heart monitoring system.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme：
On the one hand the embodiment of the present invention provides a kind of remote heart monitoring system, including：
Data compression acquisition module, data transmission module, data analysis module and data feedback module；
Wherein, the data compression acquisition module is used for according to compressive sensing theory to electrocardiogram (ECG) data and the heart to be collected
Sound data are compressed, then electrocardiogram (ECG) data and heart sound data after collect and process, and data are assessed as user's heart；The number
It is used to user's heart assessment data being sent to high in the clouds according to transport module；The data analysis module is used for according to segmentation just
Matching pursuit algorithm is handed over, the data obtained from high in the clouds are reconstructed, to obtain the electrocardiogram (ECG) data and heart sound data simultaneously
Send it to doctor；The data feedback module receives the diagnostic result of the doctor, and the diagnostic result is fed back to
The user.
Optionally, in addition to：
Interactive module, by interactive interface and the doctor exchange according to the diagnostic result for the user and
Consulting.
Optionally, the interactive interface includes：
Deagnostic structure noticeboard, communication and consulting column and the healthy news column related to user profile.
Optionally, in addition to：
Authentication module, for sending checking information to the user, when judgement is receiving the checking information of user's return just
When really, then to the user send the diagnostic result.
Optionally, the data feedback module includes：
Binding unit, is bound for the identification information according to user with the customer mobile terminal；
Transmitting element, it is described mobile whole for being sent to the diagnostic result in short message form according to the identification information
End.
Optionally, in addition to：
Memory module, for reconstruct being obtained into the electrocardiogram (ECG) data and heart sound data is stored.
Optionally, in addition to：
Denoising module, for being carried out before the electrocardiogram (ECG) data and heart sound data collection and before being reconstructed at denoising
Reason.
The embodiments of the invention provide a kind of remote heart monitoring system, including data compression acquisition module, data transfer
Module, data analysis module and data feedback module.According to compressive sensing theory electrocardiogram (ECG) data to be collected and heart sound number
According to processing is compressed, then it is acquired again；Compressed data are transmitted, then according to segmentation orthogonal matching pursuit
Algorithm, compressed data is reconstructed recovery, to obtain original electrocardiogram (ECG) data and heart sound data, and sends it to doctor
It is raw；The result that doctor is diagnosed according to heart sound data and electrocardiogram (ECG) data to the heart of active user is received, finally will
Diagnostic result feeds back to user.
The advantage for the technical scheme that the application is provided is that the fluctuation for above and below due to electrocardiogram (ECG) data and heart sound data has
Have obvious openness, compression processing has been carried out by electrocardiogram (ECG) data and heart sound data to user to be collected, ensureing
The space-consuming of data can greatly be reduced on the premise of data integrity, when data are transmitted, transmission effect is improved
Rate and real-time, reduce the occupancy of network internal storage, improve network communication capacity, are conducive to improving remote heart monitoring system
The operating efficiency of system, improves user experience.
Brief description of the drawings
, below will be to embodiment or existing for the clearer explanation embodiment of the present invention or the technical scheme of prior art
The accompanying drawing used required in technology description is briefly described, it should be apparent that, drawings in the following description are only this hair
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of embodiment structure chart of remote heart monitoring system provided in an embodiment of the present invention；
Fig. 2 is another embodiment structure chart of remote heart monitoring system provided in an embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " in the description and claims of this application and above-mentioned accompanying drawing
Four " etc. be for distinguishing different objects, rather than for describing specific order.In addition term " comprising " and " having " and
Their any deformations, it is intended that covering is non-exclusive to be included.For example contain the process of series of steps or unit, method,
The step of system, product or equipment are not limited to list or unit, but the step of may include not list or unit.
Remote heart monitoring system of the prior art is with the quantity increase of user, the redundant digit that data transfer is produced
According to can take a large amount of internal memories, so as to add the energy loss of each node, reduce network communication capacity, lead to not in time
Or it is quick by data transfer to be monitored to doctor terminal, delay user obtains the time of diagnostic result.
Present inventor by research find, reflection heart physiological information and pathological information heart sound data and
Electrocardiogram (ECG) data, these data are the data that fluctuate up and down, with obvious larger openness, and compressive sensing theory can be to dilute
Thin signal can be compressed, so as to greatly reducing the transmission quantity of user data in network, and reconstruct calculation by compressed sensing
Method is decompressed to compressed data, data can be reduced so that precision is very high, it is ensured that the integrality of data and accurate
Property.
In consideration of it, the application is felt by the electrocardiogram (ECG) data and heart sound data to active user to be collected according to compression
Know that theory is compressed processing, compressed data are transmitted, then according to segmentation orthogonal matching pursuit algorithm, to compression
Recovery is reconstructed in data, to obtain original electrocardiogram (ECG) data and heart sound data, and sends it to doctor；Receive doctor's root
The result diagnosed according to heart sound data and electrocardiogram (ECG) data to the heart of active user, finally feeds back to diagnostic result
User.
After the technical scheme of the embodiment of the present invention is described, the various non-limiting realities of detailed description below the application
Apply mode.
Referring first to Fig. 1, Fig. 1 is a kind of embodiment of remote heart monitoring system provided in an embodiment of the present invention
Structure chart, specifically may include herein below：
Data compression acquisition module 101, data transmission module 102, data analysis module 103 and data feedback module
104。
Data compression acquisition module 101 is used for according to compressive sensing theory to electrocardiogram (ECG) data and heart sound data to be collected
It is compressed, then electrocardiogram (ECG) data and heart sound data after collect and process, assess data as user's heart.
Have to gather incomplete data by objective condition is limited, or gathered data space-consuming it is too big when, and
Storage is limited can not to gather data to be collected.If there is certain conversion of overall importance to close between the information of these data reconstructions
System, and these information meet certain openness condition, and the signal more than comparison just can be always restored from fewer data
Come, this is compressive sensing theory.
General compressive sensing theory is all that data to be collected are first compressed, and is then being acquired.
The data such as electrocardio, heart sound are fluctuated up and down, and data have clearly openness, therefore can be with compression sense
Know that theory to carry out the data such as sparse electrocardio, heart sound data compression, collection low volume data just may be used.Low volume data after compression
Can be more convenient for transmission.Can be in the case of only transmission low volume data information, in a small amount of number of the medical computer terminal acquisition
According to reconstruct, such advantage is that transmission is efficiently quick, and committed memory is small, and can reach permissible accuracy to complete data
Compress acquisition tasks.
Data compression acquisition module 101 may include detection means, harvester and compressing processing module.Detection means is used
Detected in data such as electrocardio, heart sound, harvester is used to be acquired electrocardiogram (ECG) data with heart sound data, for example, can be
Pressure sensor, EGC sensor etc..
In detection data such as compression collection electrocardio, heart sound, piecemeal can be carried out to detection data, a segment length is read every time
For M*N matrix-block, using based on capable conversion, the top n numerical value of the data is read, the first row of matrix-block is deposited into,
Then following N number of numerical value is read, matrix-block is stored in, by that analogy, last N number of numerical value is stored in last column of matrix-block.
Sparse transformation is carried out to the detection data such as electrocardio, heart sound, each N*N data block is subjected to discrete cosine change
Change, each sub-block data obtains sparse matrix X after sparse transformation, due to sparse coefficient matrix have it is openness, using pressure
Contracting perception theory compresses to it.
Size M*N observing matrix Φ, calculating observation value matrix Y is constructed first：
Y=Φ X.
Observation matrix is the data for needing to be transmitted.
The initial data that the compressing processing module of data compression acquisition module 101 is detected to sensor carries out the pre- places such as denoising
Reason, removes abnormal data, filtering noise；Matching pursuit algorithm logarithm in compressive sensing theory is utilized to pretreated data
According to being compressed, the atom of algorithm iteration each time may have been abandoned in next iteration, and residual error can also obtain phase
The renewal answered, this in effect increases reconstruction accuracy, certainly, can also use other algorithms in compressive sensing theory to be pressed
Contracting is handled, and this does not influence the realization of the application；Control data transport module sends data after compression.
The data transmission module 102 is used to the data after compression being sent to high in the clouds.
Traditional data transfer is to be transmitted encoded later data flow using corresponding host-host protocol, in warp
Data after overcompression only need to low volume data when transmission, and just can carry out data reconstruction in medical computer terminal obtains
To detection data (electrocardiogram etc.) such as original electrocardio, heart sound, if the low volume data of transmission is not enough to recover electrocardio, heart sound etc.
The complete image of data or data are detected, transmission can be continued, untill requirement is reached.
Data transmission module 102 can be wireless transport module, specifically may include wireless launcher and wireless launcher control
Unit processed.Certainly, or other transmission means, for example short-range transmission can be transmitted using bluetooth.
Data analysis module 103 is used to, according to segmentation orthogonal matching pursuit algorithm, carry out the data obtained from high in the clouds
Reconstruct, to obtain the electrocardiogram (ECG) data and heart sound data and send it to doctor.
Data after compression are sent to high in the clouds, high in the clouds can be put it into caching, doctor is obtaining electrocardio, the heart of user
During sound data, can be specifically：
Data are read out of high in the clouds caching, sensing reconstructing is compressed, segmentation orthogonal matching pursuit algorithm can be used, when
So, other algorithms can be also used, this does not influence the realization of the application.Every time one is read from the M after compression × N matrix block to arrange
Length scale is M data, is multiplied with observing matrix and obtains remaining correlation vector；Then by given threshold, every time from sight
Survey and multiple atoms are chosen in matrix, form an initial atom set and for updating supported collection；Finally utilize least square
Method tries to achieve approximate solution, while completing the renewal to surplus, now checks whether end condition meets, as being unsatisfactory for, continues cycling through
It is exactly the reconstruction result to original M data to carry out the renewal of surplus and approaching for approximate solution, otherwise, the approximate solution of gained, long
Degree size is N, is finally completed the reconstruct from amount of compressed data M × N to original data volume N × N, and wherein M is much smaller than N, is being ensured
While reconstruction quality, compressed sensing restructuring procedure is completed faster.Data after this restructuring procedure can just be recovered
Go out the data such as original electrocardio, heart sound.
By the way that the data after reduction are sent into doctor terminal, doctor analyzes these data and the cardiac function of user is commented
Valency, is then sent to data feedback module 104 by the result after evaluation.
Data feedback module 104 receives the diagnostic result of the doctor, and the diagnostic result is fed back into the user.
In a kind of specific embodiment, data feedback module 104 may include：
Binding unit 1041, is bound for the identification information according to user with the customer mobile terminal；
Transmitting element 1042, for the diagnostic result to be sent into the shifting in short message form according to the identification information
Dynamic terminal.
Binding unit, is to receive accurate diagnostic result for the ease of user, and improve the security of whole system with
And the privacy of protection user.It can specifically enter with the intelligent movable mobile phone of user, flat board, wearable device (wrist-watch, bracelet) etc.
Row binding.
The diagnostic result of doctor can be generated to the file of the various forms such as short message, multimedia message, webpage, audio, video, then
It is sent to user terminal.Certainly, other modes can be also used, this does not influence the realization of the application.
From the foregoing, it will be observed that fluctuation for above and below due to electrocardiogram (ECG) data and heart sound data of the embodiment of the present invention, with obvious dilute
Property is dredged, compression processing has been carried out by electrocardiogram (ECG) data and heart sound data to user to be collected, guaranteed data integrity
On the premise of can greatly reduce the space-consuming of data, when data are transmitted, improve efficiency of transmission and real-time,
The occupancy of network internal storage is reduced, network communication capacity is improved, is conducive to improving the work effect of remote heart monitoring system
Rate, improves user experience.
Optionally, in a kind of specific embodiment, referring to Fig. 2, the remote heart monitoring system may also include：
Interactive module 105, is handed over according to the diagnostic result for the user by interactive interface with the doctor
Stream and consulting.
Interactive module 105 for example sets corresponding software kit APP to be arranged on the shifting of user to be arranged on subscription client
Dynamic terminal, is operated in the APP, realizes human-computer interaction, for example, inquire about the hearing test result of some period, or do phase
Mark answered, etc..APP can be while compatible each hardware operation platform, such as Android and IOS.
It may include in the APP interactive interfaces：
Deagnostic structure noticeboard, communication and consulting column and the healthy news column related to user profile.
User can be on the software deagnostic structure noticeboard check the diagnostic result of oneself；Can also be in communication and consulting
Column is exchanged and seeked advice from doctor online；Healthy news column is some information (relevant diseases of such as user according to user
Information) automatic push information.
By setting interactive module, the inquiry diagnostic result of user is greatly facilitated there is provided the online exchange with doctor,
Treatment and the prevention information of disease not only can be confirmed and seeked advice to the diagnostic result of doctor, be conducive to lifting making for user
With experience.
In another specific embodiment, referring to Fig. 2, the remote heart monitoring system may also include：
Authentication module 106, for sending checking information to the user, when judgement receives the checking information of user's return
When correct, then to the user send the diagnostic result.
In order to further ensure the security of system and protect the privacy of user, authentication module can be increased, as long as working as
The checking information of user's input meets default checking information, is just transmitted diagnostic result.
In order to further improve the stability of system, referring to Fig. 2, the remote heart monitoring system of stating can also be wrapped
Include：
Memory module 107, for reconstruct being obtained into the electrocardiogram (ECG) data and heart sound data is stored.
Data are stored, when system is powered off or broken down suddenly, it is to avoid loss of data, re-start upload with
Download, improve the efficiency of whole system, be conducive to the stability of raising system.
During due to gathered data, the interference of harvester noise jamming in itself and extraneous various factors can all cause
Gathered data noise is too big；In addition, when carrying out data convert again, inevitable data can carry noise in transmitting procedure,
So as to cause reconstruct restoring data inaccurate.In order to ensure gathered data and the accuracy of reconstruct restoring data, carried out in data
During collection and when reducing, referring to Fig. 2, the remote heart monitoring system of stating may also include：
Denoising module 108, for being gone before the electrocardiogram (ECG) data and heart sound data collection and before being reconstructed
Make an uproar processing.
By denoising, the degree of accuracy of user's diagnosis can be lifted, the test accuracy of whole system is improved.
The embodiment of each in this specification is described by the way of progressive, what each embodiment was stressed be with it is other
Between the difference of embodiment, each embodiment same or similar part mutually referring to.For being filled disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Explanation.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of the method or algorithm that the embodiments described herein is described with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
A kind of remote heart monitoring system provided by the present invention is described in detail above.Tool used herein
Body example is set forth to the principle and embodiment of the present invention, and the explanation of above example is only intended to help and understands this hair
Bright method and its core concept.It should be pointed out that for those skilled in the art, not departing from the present invention
On the premise of principle, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into right of the present invention
It is required that protection domain in.
Claims (7)
1. a kind of remote heart monitoring system, it is characterised in that including：
Data compression acquisition module, data transmission module, data analysis module and data feedback module；
Wherein, the data compression acquisition module is used for according to compressive sensing theory to electrocardiogram (ECG) data to be collected and heart sound number
According to being compressed, then electrocardiogram (ECG) data and heart sound data after collect and process, it is used as user's heart to assess data；The data are passed
Defeated module is used to user's heart assessment data being sent to high in the clouds；The data analysis module is used for according to orthogonal of segmentation
With tracing algorithm, the data obtained from high in the clouds are reconstructed, with obtain the electrocardiogram (ECG) data and heart sound data and by its
It is sent to doctor；The data feedback module receives the diagnostic result of the doctor, and the diagnostic result is fed back into described
User.
2. remote heart monitoring system according to claim 1, it is characterised in that also include：
Interactive module, is exchanged and is consulted with the doctor by interactive interface according to the diagnostic result for the user
Ask.
3. remote heart monitoring system according to claim 2, it is characterised in that the interactive interface includes：
Deagnostic structure noticeboard, communication and consulting column and the healthy news column related to user profile.
4. remote heart monitoring system according to claim 1, it is characterised in that also include：
Authentication module, for sending checking information to the user, when judging that the checking information for receiving user's return is correct,
Again the diagnostic result is sent to the user.
5. the remote heart monitoring system according to Claims 1-4 any one, it is characterised in that the data feedback
Module includes：
Binding unit, is bound for the identification information according to user with the customer mobile terminal；
Transmitting element, for the diagnostic result to be sent into the mobile terminal in short message form according to the identification information.
6. remote heart monitoring system according to claim 5, it is characterised in that also include：
Memory module, for reconstruct being obtained into the electrocardiogram (ECG) data and heart sound data is stored.
7. remote heart monitoring system according to claim 6, it is characterised in that also include：
Denoising module, for carrying out denoising before the electrocardiogram (ECG) data and heart sound data collection and before being reconstructed.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108433722A (en) * | 2018-02-28 | 2018-08-24 | 天津大学 | Portable brain electric collecting device and its application in SSVEP and Mental imagery |
| CN109199432A (en) * | 2018-06-26 | 2019-01-15 | 南京邮电大学 | A kind of parallelly compressed cognitive method of Multi-path synchronous acquisition cardiechema signals |
| CN109793505A (en) * | 2018-12-05 | 2019-05-24 | 天津大学 | Studies of Human Body Heat stress monitoring system under a kind of hot environment |
| CN111329468A (en) * | 2020-02-10 | 2020-06-26 | 郭洪军 | Real-time monitoring system and monitoring method for cardiology department |
| WO2020214093A1 (en) * | 2019-04-16 | 2020-10-22 | Tricog Health Pte Ltd | System and method for displaying physiological information |
| CN113925514A (en) * | 2021-09-28 | 2022-01-14 | 西安交通大学 | Portable multi-lead ECG acquisition system and data processing method thereof |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202681920U (en) * | 2012-06-12 | 2013-01-23 | 东华大学 | Dressing type physical sign monitor based on compressed sensing |
| CN103746703A (en) * | 2013-12-23 | 2014-04-23 | 哈尔滨工程大学 | Segmented self-adaptive regularized matching pursuit reconstruction method based on threshold |
| CN103957389A (en) * | 2014-05-13 | 2014-07-30 | 重庆大学 | 3G video transmission method and system based on compression sensing |
| CN104331852A (en) * | 2013-06-25 | 2015-02-04 | 德信无线通讯科技（北京）有限公司 | Mobile medical service system |
| CN104644208A (en) * | 2015-02-13 | 2015-05-27 | 江苏物联网研究发展中心 | Combined system of electronic stethoscope and electrocardiogram equipment |
| CN104933846A (en) * | 2015-06-04 | 2015-09-23 | 中国科学院苏州生物医学工程技术研究所 | Body sensor network system based on compressed sensing |
| CN104954982A (en) * | 2015-05-08 | 2015-09-30 | 重庆大学 | Real-time reconstruction power field positioning method based on compressed sensing |
| CN106297272A (en) * | 2016-08-11 | 2017-01-04 | 广东工业大学 | A kind of bus dispatching method and device based on compressed sensing |
-
2017
- 2017-04-12 CN CN201710236438.3A patent/CN106974640A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202681920U (en) * | 2012-06-12 | 2013-01-23 | 东华大学 | Dressing type physical sign monitor based on compressed sensing |
| CN104331852A (en) * | 2013-06-25 | 2015-02-04 | 德信无线通讯科技（北京）有限公司 | Mobile medical service system |
| CN103746703A (en) * | 2013-12-23 | 2014-04-23 | 哈尔滨工程大学 | Segmented self-adaptive regularized matching pursuit reconstruction method based on threshold |
| CN103957389A (en) * | 2014-05-13 | 2014-07-30 | 重庆大学 | 3G video transmission method and system based on compression sensing |
| CN104644208A (en) * | 2015-02-13 | 2015-05-27 | 江苏物联网研究发展中心 | Combined system of electronic stethoscope and electrocardiogram equipment |
| CN104954982A (en) * | 2015-05-08 | 2015-09-30 | 重庆大学 | Real-time reconstruction power field positioning method based on compressed sensing |
| CN104933846A (en) * | 2015-06-04 | 2015-09-23 | 中国科学院苏州生物医学工程技术研究所 | Body sensor network system based on compressed sensing |
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