CN110124210A - A kind of premenstrual syndrome physical therapeutic system based on artificial intelligence - Google Patents
A kind of premenstrual syndrome physical therapeutic system based on artificial intelligence Download PDFInfo
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Abstract
The present invention provides a kind of premenstrual syndrome physical therapeutic system based on artificial intelligence, can be realized the accurate laser physical therapy of premenstrual syndrome.The system comprises: the bio signal for acquiring the bio signal of user's body, and is converted into data information and is sent to cloud big data processing module by data acquisition module;Cloud big data processing module, for generating corresponding image information according to the data information received, utilize the depth learning technology of artificial intelligence field, described image information is handled, obtain the physical condition information of user, according to the physical condition information of user, first control signal is exported to laser physical therapy module;Laser physical therapy module realizes laser physical therapy for emitting laser according to the first control signal.The present invention is suitable for the physical therapy of premenstrual syndrome.
Description
Technical field
The present invention relates to the field of medical instrument technology, particularly relate to a kind of premenstrual syndrome physical therapy system based on artificial intelligence
System.
Background technique
With the development of the times, people increasingly pay attention to the health problem of itself.Either male or women,
Encounter body it is abnormal, uncomfortable when, be intended to investigate thoroughly reason, and even perform the operation by physics sex therapy, drug, Lai Zhiyu or
Person mitigates itself symptom.Premenstrual syndrome is exactly a kind of peculiar symptom that women's federation encounters.Premenstrual syndrome refers to women
A couple of days before menstrual onset, due to the variation of autologous hormones level and the change of hemorheological property, a series of caused lifes
Rationality and psychological variation, the main symptom that shows, which have a depressed, helpless and sense of guilt, anxiety ,/pressure greatly, emotional lability, irritability/holds
Continuous indignation, interest reduction, absent minded, tired, bulimia, sleep disturbance, without autocontrol force or vulnerable, assistance energy
Power is poor, headache, pain, oedema/weight gain, twitch, swollen breasts etc..These symptoms not only make women itself endure torment to the fullest extent,
Also different degrees of influence is brought to their family.
Existing premenstrual syndrome treatment method relates generally to: drug therapy and physical therapy;Wherein based on anodyne
Drug therapy be still Vehicles Collected from Market mainstream treatment method, using Warn uterus paste as the hot packing of representative then with analgesic type drug phase
Cooperation, also in the more treatment for appearing in premenstrual syndrome.Although drug therapy and physical therapy are relatively common,
The necessary regular purchase of patient, when there are breakthrough symptoms, there are no the awkward situation of purchase hairs after use before being easy to appear
It is raw, and in dosage, can not treatment condition according to itself physical condition and before, have reference, it is accurate, rationally
Use;During using Warn uterus paste, also there is certain requirement to ambient enviroment.These are all that drug therapy and physics are treated
The limitation of method.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of premenstrual syndrome physical therapeutic system based on artificial intelligence, with solution
The problem that referential is poor present in certainly existing drug therapy and physical therapy, treatment dosage is inaccurate.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of premenstrual syndrome physical therapy system based on artificial intelligence
System, comprising:
Data acquisition module is converted into data letter for acquiring the bio signal of user's body, and by the bio signal
Breath is sent to cloud big data processing module;
Cloud big data processing module utilizes people for generating corresponding image information according to the data information received
The deep learning technology of work smart field handles described image information, obtains the physical condition information of user, according to
The physical condition information at family exports first control signal to laser physical therapy module;
Laser physical therapy module realizes laser physical therapy for emitting laser according to the first control signal.
Further, the data acquisition module includes:
Sensor unit, for acquiring the bio signal of user's body by biosensor, wherein the bio signal
It include: erythrocyte aggregation state and sex hormone level;
Converting unit, the bio signal for acquiring sensor unit are converted into data information and are sent to the big number in cloud
According to processing module.
Further, the cloud big data processing module includes:
Pretreatment unit, for generating corresponding image information according to data information;
Artificial intelligence process unit uses the identification after training for the deep learning technology using artificial intelligence field
Model identifies the image information being currently generated, and obtains the physical condition information of user, and utilize the image being currently generated
Information carries out retraining to the identification model;Wherein, the identification model is the biology according to multiple premenstrual syndrome users
The corresponding image information training of signal obtains;
Post-processing unit, for the physical condition information according to user, to laser physical therapy module output the first control letter
Number.
Further, the post-processing unit is also used to send the physical condition information of user to intelligent terminal.
Further, the cloud big data processing module further include:
Cloud storage unit, the data information being converted into for storing converting unit, and the data information is sent to pre-
Processing unit, physical condition information and the post-processing unit for being also used to store the user of artificial intelligence process unit output are defeated
First control signal out, and the physical condition information of the first control signal and user are sent to local storage unit.
Further, the laser physical therapy module includes:
Laser control unit, the first control signal for being exported according to post-processing unit are defeated to laser emission element
Second control signal out;
Laser emission element, for exporting the laser of respective wavelength according to second control signal.
Further, the system also includes: display module is locally stored;
It is described that display module is locally stored, in local, storage and display information.
Further, the display module that is locally stored includes:
Local storage unit, in local, the collected bio signal of storage sensor unit, converting unit to be converted into
Data information, and the data information is uploaded to the cloud storage unit of cloud big data processing module;It is also used to receive institute
State the first control signal of cloud storage unit transmission and the physical condition information of user;
Display unit, the data information being converted into for showing the collected bio signal of sensor unit, converting unit
And cloud storage unit send first control signal and user physical condition information.
The advantageous effects of the above technical solutions of the present invention are as follows:
In above scheme, turn by the bio signal of data collecting module collected user's body, and by the bio signal
It changes data information into and is sent to cloud big data processing module;Cloud big data processing module is raw according to the data information received
Described image information is handled, is used using the deep learning technology of artificial intelligence field at corresponding image information
The physical condition information at family exports first control signal to laser physical therapy module according to the physical condition information of user;By swashing
Light physical therapy module emits laser according to the first control signal, realizes laser physical therapy.In this way, passing through the user's body to acquisition
Bio signal handled, emit be suitble to user's premenstrual syndrome treatment laser, to realize the accurate of premenstrual syndrome
Laser physical therapy, with meet user in real time, treatment requirement that is accurate, having reference, suitable layman operates and uses.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the premenstrual syndrome physical therapeutic system provided in an embodiment of the present invention based on artificial intelligence;
Fig. 2 is that the detailed construction of the premenstrual syndrome physical therapeutic system provided in an embodiment of the present invention based on artificial intelligence is illustrated
Figure;
Fig. 3 is the structural schematic diagram of data acquisition module provided in an embodiment of the present invention;
Fig. 4 is the structural schematic diagram of big data processing module in cloud provided in an embodiment of the present invention;
Fig. 5 is the structural schematic diagram of laser physical therapy module provided in an embodiment of the present invention;
Fig. 6 is the structural schematic diagram provided in an embodiment of the present invention that display module is locally stored.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
The present invention is poor for referential present in existing drug therapy and physical therapy, treatment dosage is inaccurate asks
Topic, provides a kind of premenstrual syndrome physical therapeutic system based on artificial intelligence.
As shown in Figure 1, the premenstrual syndrome physical therapeutic system provided in an embodiment of the present invention based on artificial intelligence, comprising:
Data acquisition module 11 is converted into data for acquiring the bio signal of user's body, and by the bio signal
Information is sent to cloud big data processing module;
Cloud big data processing module 12 is utilized for generating corresponding image information according to the data information received
The deep learning technology of artificial intelligence field handles described image information, obtains the physical condition information of user, according to
The physical condition information of user exports first control signal to laser physical therapy module;
Laser physical therapy module 13 realizes laser physical therapy for emitting laser according to the first control signal.
Premenstrual syndrome physical therapeutic system described in the embodiment of the present invention based on artificial intelligence, is adopted by data acquisition module
Collect the bio signal of user's body, and the bio signal is converted into data information and is sent to cloud big data processing module;
Cloud big data processing module generates corresponding image information according to the data information received, utilizes the depth of artificial intelligence field
Learning art is spent, described image information is handled, the physical condition information of user is obtained, is believed according to the physical condition of user
Breath exports first control signal to laser physical therapy module;Emitted by laser physical therapy module according to the first control signal and is swashed
Light realizes laser physical therapy.In this way, being handled by the bio signal of the user's body to acquisition, emits and be suitble to user premenstrual
The laser of syndrome treatment, to realize the accurate laser physical therapy of premenstrual syndrome, with meet user in real time, it is accurate, have reference
Treatment requirement, suitable layman operates and uses.
As described in Figure 2, the premenstrual syndrome physical therapeutic system described in the embodiment of the present invention based on artificial intelligence, is not only wrapped
It includes: data acquisition module, cloud big data processing module and laser physical therapy module, further includes: display module is locally stored;Its
In, the data acquisition module includes: sensor unit and converting unit;The cloud big data processing module includes: that cloud is deposited
Storage unit, data pre-processing unit, artificial intelligence process unit and post-processing unit;It is described that display module packet is locally stored
It includes: display unit and local storage unit;The laser physical therapy module includes: laser controlling and laser emission element.
Premenstrual syndrome physical therapeutic system described in embodiment based on artificial intelligence for a better understanding of the present invention, connects down
Modules to be included to it are described in detail:
In the present embodiment, the data acquisition module is responsible for acquisition, transmission and the conversion of the bio signal of user's body,
Wherein, the bio signal includes: erythrocyte aggregation state and sex hormone level.As shown in figure 3, the data acquisition module
It include: sensor unit and converting unit, wherein sensor unit, for acquiring the red of user's body by biosensor
The associated biomolecules signal such as cell aggregation state and sex hormone level variation;Converting unit, for acquire sensor unit
Bio signal is converted into being suitble to processing, the data information shown and is sent to cloud big data processing module.
In the present embodiment, the data information that the collected bio signal of sensor unit, converting unit are converted into is at this
While ground storage unit is stored, also by network (for example, Internet of Things), the data information that will convert into uploads in real time
The cloud storage unit of cloud big data processing module, as shown in Figure 4.
As shown in figure 4, the cloud storage unit of the cloud big data processing module, it is converted into for storing converting unit
Data information, and the data information is sent to pretreatment unit.Pretreatment unit, for raw according to data information is received
Artificial intelligence process unit is sent at corresponding image information, and by described image information.Artificial intelligence process unit utilizes
The deep learning technology of artificial intelligence field identifies image information using the identification model after training, obtains user's
Physical condition information, at the same using the image information being currently generated to the identification model carry out retraining, further increase and
Improve this identification model;Wherein, the identification model is the corresponding image of bio signal according to multiple premenstrual syndrome users
Information training obtains.
In the present embodiment, by deep learning technology, the erythrocyte aggregation state through a large amount of premenstrual syndrome users is utilized
And the identification model with identification rule that hormonal readiness corresponding image information training obtains, the identification model can be to working as
The image information of preceding upload is accurately identified, and accurately determines the physical condition information of user, detection effect is good, to professional
It is required that it is low, and identify that rule is constantly updated, there is good adaptability.
In the present embodiment, post-processing unit, the physical condition of the user for being exported according to artificial intelligence process unit
Information exports first control signal to laser physical therapy module, and sends the body of user to intelligent terminal (for example, smart phone)
Status information, while the physical condition information of first control signal and user is also stored into cloud storage unit, cloud storage unit
Also the transmission that first control signal and the physical condition information of user are carried out to local storage unit, realizes the synchronization of data.
In the present embodiment, the body shape of oneself not only can be monitored in real time by the premenstrual syndrome physical therapeutic system by user
State, and carry out corresponding premenstrual syndrome treatment, and the physical condition and before of oneself can be recorded by intelligent terminal
Treatment condition.Real-time prompting can be provided for user by intelligent terminal, given user's related advisories such as diet during this, used
Family need not be again until body occurs abnormal, then carries out physical therapy, has been truly realized early treatment, has early trusted.
As shown in figure 5, the first control that the Laser control unit in laser physical therapy module is sent according to post-processing unit
Signal exports the second control signal for adjusting laser to laser emission element, makes laser emission element according to second control signal
Emit the laser of respective wavelength, realizes laser physical therapy.
It is described that display module is locally stored in the present embodiment, it is responsible in the storage and display for locally carrying out related data.Such as
Shown in Fig. 6, the display module that is locally stored includes: local storage unit and display unit;Wherein, described that list is locally stored
Member, for the data information that is converted into local, the collected bio signal of storage sensor unit, converting unit, and by institute
State the cloud storage unit that data information uploads to cloud big data processing module;It is also used to receive what the cloud storage unit was sent
The physical condition information of first control signal and user;The display unit, for showing the collected biology of sensor unit
The physical condition letter for the first control signal and user that the data information and cloud storage unit that signal, converting unit are converted into are sent
Breath.
Finally, result verification is actually used, the premenstrual syndrome reason described in the embodiment of the present invention based on artificial intelligence
Treatment system the relevant bio signal of real-time monitoring user's body and can provide laser physical therapy accurate, appropriate, and physiotheraping effect
Obviously.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of premenstrual syndrome physical therapeutic system based on artificial intelligence characterized by comprising
Data acquisition module is converted into data information hair for acquiring the bio signal of user's body, and by the bio signal
It send to cloud big data processing module;
Cloud big data processing module utilizes artificial intelligence for generating corresponding image information according to the data information received
The deep learning technology in energy field, handles described image information, the physical condition information of user is obtained, according to user's
Physical condition information exports first control signal to laser physical therapy module;
Laser physical therapy module realizes laser physical therapy for emitting laser according to the first control signal.
2. the premenstrual syndrome physical therapeutic system according to claim 1 based on artificial intelligence, which is characterized in that the data
Acquisition module includes:
Sensor unit, for acquiring the bio signal of user's body by biosensor, wherein the bio signal packet
It includes: erythrocyte aggregation state and sex hormone level;
Converting unit, the bio signal for acquiring sensor unit are converted into data information and are sent at the big data of cloud
Manage module.
3. the premenstrual syndrome physical therapeutic system according to claim 2 based on artificial intelligence, which is characterized in that the cloud
Big data processing module includes:
Pretreatment unit, for generating corresponding image information according to data information;
Artificial intelligence process unit uses the identification model after training for the deep learning technology using artificial intelligence field
The image information being currently generated is identified, obtains the physical condition information of user, and utilize the image information being currently generated
Retraining is carried out to the identification model;Wherein, the identification model is the bio signal according to multiple premenstrual syndrome users
What corresponding image information training obtained;
Post-processing unit exports first control signal to laser physical therapy module for the physical condition information according to user.
4. the premenstrual syndrome physical therapeutic system according to claim 3 based on artificial intelligence, which is characterized in that the later period
Processing unit is also used to send the physical condition information of user to intelligent terminal.
5. the premenstrual syndrome physical therapeutic system according to claim 3 based on artificial intelligence, which is characterized in that the cloud
Big data processing module further include:
Cloud storage unit, the data information being converted into for storing converting unit, and the data information is sent to pretreatment
Unit, what the physical condition information and post-processing unit for being also used to store the user of artificial intelligence process unit output exported
First control signal, and the physical condition information of the first control signal and user are sent to local storage unit.
6. the premenstrual syndrome physical therapeutic system according to claim 3 based on artificial intelligence, which is characterized in that the laser
Physical therapy module includes:
Laser control unit, the first control signal for being exported according to post-processing unit, to laser emission element output the
Two control signals;
Laser emission element, for exporting the laser of respective wavelength according to second control signal.
7. the premenstrual syndrome physical therapeutic system according to claim 5 based on artificial intelligence, which is characterized in that the system
Further include: display module is locally stored;
It is described that display module is locally stored, in local, storage and display information.
8. the premenstrual syndrome physical therapeutic system according to claim 7 based on artificial intelligence, which is characterized in that the local
Storing display module includes:
Local storage unit, the number for being converted into local, the collected bio signal of storage sensor unit, converting unit
It is believed that ceasing, and the data information is uploaded to the cloud storage unit of cloud big data processing module;It is also used to receive the cloud
The physical condition information of first control signal and user that storage unit is sent;
Display unit, the data information and cloud being converted into for showing the collected bio signal of sensor unit, converting unit
The physical condition information of first control signal and user that storage unit is sent.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114155932A (en) * | 2021-12-07 | 2022-03-08 | 中南大学湘雅二医院 | Rehabilitation physiotherapy system for preventing necrosis of limbs and limbs of scleroderma patient based on big data |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202113500U (en) * | 2011-01-04 | 2012-01-18 | 李英凡 | Physiotherapy device and physiotherapy waistband |
CN106507561A (en) * | 2015-09-08 | 2017-03-15 | 松下知识产权经营株式会社 | Lighting Control Assembly |
CN106730348A (en) * | 2017-02-26 | 2017-05-31 | 曹亮明 | The smart machine and its control method of a kind of thermoelectricity acousto-optic therapeutic alliance |
US20180333083A1 (en) * | 2015-02-25 | 2018-11-22 | Leonardo Y. Orellano | Fall detection systems and methods |
CN109008952A (en) * | 2018-05-08 | 2018-12-18 | 深圳智慧林网络科技有限公司 | Monitoring method and Related product based on deep learning |
CN109117871A (en) * | 2018-07-20 | 2019-01-01 | 上海市肺科医院 | A kind of system and method that the pernicious probability of pulmonary lesions is obtained by deep learning |
-
2019
- 2019-05-24 CN CN201910442030.0A patent/CN110124210A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202113500U (en) * | 2011-01-04 | 2012-01-18 | 李英凡 | Physiotherapy device and physiotherapy waistband |
US20180333083A1 (en) * | 2015-02-25 | 2018-11-22 | Leonardo Y. Orellano | Fall detection systems and methods |
CN106507561A (en) * | 2015-09-08 | 2017-03-15 | 松下知识产权经营株式会社 | Lighting Control Assembly |
CN106730348A (en) * | 2017-02-26 | 2017-05-31 | 曹亮明 | The smart machine and its control method of a kind of thermoelectricity acousto-optic therapeutic alliance |
CN109008952A (en) * | 2018-05-08 | 2018-12-18 | 深圳智慧林网络科技有限公司 | Monitoring method and Related product based on deep learning |
CN109117871A (en) * | 2018-07-20 | 2019-01-01 | 上海市肺科医院 | A kind of system and method that the pernicious probability of pulmonary lesions is obtained by deep learning |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114155932A (en) * | 2021-12-07 | 2022-03-08 | 中南大学湘雅二医院 | Rehabilitation physiotherapy system for preventing necrosis of limbs and limbs of scleroderma patient based on big data |
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Application publication date: 20190816 |