CN113257424A - Telemedicine system based on big data - Google Patents
Telemedicine system based on big data Download PDFInfo
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- CN113257424A CN113257424A CN202110808053.6A CN202110808053A CN113257424A CN 113257424 A CN113257424 A CN 113257424A CN 202110808053 A CN202110808053 A CN 202110808053A CN 113257424 A CN113257424 A CN 113257424A
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- 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
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Abstract
The invention relates to a telemedicine system based on big data, comprising: the acquisition module is used for acquiring physiological parameter information of a user in real time; the user management module is used for managing multiple users and physiological parameter information of the multiple users; the cloud storage module is used for updating and storing the personal accounts of multiple users; the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user; the treatment end is used for medical operation of a doctor; and the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result. The invention can realize the remote medical diagnosis of the user, can accurately analyze the body health degree of the user, enables the user to know the body condition of the user in time and helps the user to carry out rehabilitation treatment.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a telemedicine system based on big data.
Background
The current applications of telemedicine generally include remote diagnosis, remote communication, expert consultation, and information service, which are all based on computer and network communication to transmit, store, refer, search, compare, present and share information in medicine and remote video and audio data.
In the prior art, when the number of medical diagnostic personnel is insufficient or busy, the diagnosis of a patient is not timely, and the body health degree of a user cannot be accurately analyzed.
Disclosure of Invention
In order to overcome the technical defects in the prior art, the invention provides a telemedicine system based on big data, which can effectively solve the problems in the background art.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
the embodiment of the invention discloses a telemedicine system based on big data, which comprises: the acquisition module is used for acquiring physiological parameter information of a user in real time;
the user management module is used for managing multiple users and physiological parameter information of the multiple users;
the cloud storage module is used for updating and storing the personal accounts of multiple users;
the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user;
the treatment end is used for medical operation of a doctor;
and the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result.
In any of the above schemes, preferably, the acquisition module acquires the physiological parameter information of the user in real time through the acquisition device, so as to accurately reflect the health degree of the user.
In any of the above aspects, preferably, the user management module includes:
the user side is used for the user to perform input and query operations;
the positioning module is used for acquiring the position information of the user in real time;
and the emergency notification module is used for acquiring the emergency contact information of the user and notifying the emergency contact of the user.
In any of the above schemes, preferably, the user enters personal information of the user through the user side to create a personal account, and the user management module distinguishes different users through a user name and a password created by the user.
In any of the above schemes, preferably, the user management module matches the acquired physiological parameter information of the user with a personal account created by the user, the user management module performs identity verification on the user during or after the real-time acquisition of the physiological parameter information of the user is completed, and if the verification is successful, the user management module sends the physiological parameter information of the user to the personal account of the user; if the verification is unsuccessful, sending error information to the user side to remind the user.
In any of the above aspects, preferably, the big data diagnosis module includes: the big data analysis module is used for dividing physiological parameter intervals according to the posture indexes of the user;
and the judging module is used for comparing the physiological parameter information of the user with the divided physiological parameter intervals and judging the health degree of the user.
In any of the above schemes, preferably, the personal information of the user in the cloud storage module is acquired, the posture index of the user is determined according to the personal information of the user, and the interval of each physiological parameter corresponding to the health state, the sub-health state and the disease state under the posture index is obtained through analysis of the big data analysis module; the physiological parameter information of the user collected in real time is compared with physiological parameter intervals corresponding to the health state, the sub-health state and the disease state under the posture index obtained by analysis of the big data analysis module through the judgment module, the health degree of the user is judged, the possible diseases are evaluated according to different health degrees, and a big data diagnosis report is generated.
In any of the above schemes, preferably, after the judgment is finished, the big data diagnosis module may feed back the big data diagnosis report to the user side, the user may select whether to perform doctor diagnosis according to the big data diagnosis report, if the doctor diagnosis is selected, the doctor and the user may interact with the user side through the treatment side, and in the interaction process, the doctor may obtain personal information, historical physiological parameter information, and a historical big data diagnosis report of the user in the cloud storage module, and generate a medical diagnosis result.
In any of the above schemes, preferably, the treatment end records the diagnosis process of the doctor, and when the medical service process of the user is finished, the treatment end uploads the diagnosis process of the doctor to the cloud storage module and stores the diagnosis process to the personal account of the user.
In any of the above schemes, preferably, the auxiliary module performs auxiliary treatment on the user through an auxiliary device.
It is preferred in any one of the above-mentioned schemes that auxiliary device includes the bed body, bed board, rotating assembly, pneumatic cylinder and helps the dormancy thing, the bed board set up in on the bed body, rotating assembly with the bed board both sides are rotated and are connected, pneumatic cylinder one end with the bed board bottom is rotated and is connected, the pneumatic cylinder other end with the bed body bottom is rotated and is connected, help the dormancy thing set up in on the bed body.
In any of the above schemes, preferably, the bed body includes a frame body and a support frame, the support frame is disposed in the frame body, two ends of the support frame are fixedly connected to the frame body, support plates are disposed on two sides of the frame body, the support plates are fixedly connected to the frame body, a controller is disposed on one side of the support frame, and the bed body is disposed on the support frame.
In any one of the above schemes, preferably, the rotating assembly includes a first rotating member, a second rotating member, and a rotating shaft, the first rotating member is sleeved with the second rotating member, and the rotating shaft is rotatably connected to the first rotating member and the second rotating member, respectively.
In any of the above schemes, preferably, the first rotating member and the second rotating member are respectively provided with a rotating hole, the first rotating member is provided with a sliding groove, and the second rotating member is provided with a sliding block, so that the sliding block can slide in the sliding groove.
In any one of the above schemes, preferably, the bed plate is provided with a through hole, and the rotating shaft is rotatably connected with the bed plate through the through hole.
In any of the above schemes, preferably, the bottom of the bed board and the bottom of the frame body are both provided with a rotating support, rotating holes are formed at two ends of the hydraulic cylinder, two ends of the hydraulic cylinder are sleeved in the rotating support, and the hydraulic cylinder is rotatably connected with the rotating support through a connecting piece.
In any of the above schemes, preferably, the sleep-aiding object is arranged on the supporting plate 13, and the sleep-aiding object 5 is prepared from 7-9 parts of ethanol, 56-68 parts of pure water, 2-3 parts of orange flower essential oil, 2-3 parts of olive oil, 6-9 parts of kenaf powder, 1-2 parts of rose essential oil, 1-4 parts of lavender essential oil and 1-5 parts of chamomile essential oil according to the mass ratio, so that the sleep-aiding object has the effects of soothing the nerves and aiding sleep, can effectively promote the sleep of a user, improves the sleep quality of the user and improves the body health degree of the user.
In any of the above schemes, preferably, the sleep-aiding material is prepared from 7 parts of ethanol, 60 parts of pure water, 2 parts of orange flower essential oil, 2 parts of olive oil, 7 parts of kenaf powder, 1 part of rose essential oil, 1 part of lavender essential oil and 3 parts of chamomile essential oil according to the mass ratio.
In any of the above schemes, preferably, the sleep-aiding material is prepared from 8 parts of ethanol, 61 parts of pure water, 3 parts of orange flower essential oil, 2 parts of olive oil, 8 parts of water-hemp peel powder, 2 parts of rose essential oil, 3 parts of lavender essential oil and 4 parts of chamomile essential oil according to the mass ratio.
In any of the above schemes, preferably, the sleep-aiding material is prepared from 9 parts of ethanol, 64 parts of pure water, 3 parts of orange flower essential oil, 2 parts of olive oil, 9 parts of water hemp peel powder, 2 parts of rose essential oil, 4 parts of lavender essential oil and 5 parts of chamomile essential oil according to the mass ratio.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a telemedicine system based on big data, which is used for acquiring physiological parameter information of a user in real time through an acquisition module; the user management module is used for managing multiple users and physiological parameter information of the multiple users; the cloud storage module is used for updating and storing the personal accounts of multiple users; the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user; the treatment end is used for medical operation of a doctor; the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result; the remote medical diagnosis can be realized for the user, the body health degree of the user can be accurately analyzed, the user can timely know the body condition of the user, and the user is helped to carry out rehabilitation treatment.
Drawings
The drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a side view of the auxiliary device of the present invention;
FIG. 3 is a top view of the auxiliary device of the present invention;
fig. 4 is a schematic view of the structure of the rotating assembly of the present invention.
The reference numbers in the figures illustrate:
1. a bed body; 2. a bed board; 3. a rotating assembly; 4. a hydraulic cylinder; 5. a sleep aid; 6. a controller; 7. rotating the bracket; 11. a frame body; 12. a support frame; 13. a support plate; 31. a first rotating member; 32. a second rotating member; 33. a rotating shaft; 34. rotating the hole; 311. a sliding groove; 321. and a slider.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
For better understanding of the above technical solutions, the technical solutions of the present invention will be described in detail below with reference to the drawings and the detailed description of the present invention.
The invention provides a telemedicine system based on big data, as shown in figure 1, the system comprises:
and the acquisition module is used for acquiring the physiological parameter information of the user in real time.
Specifically, because the physiological parameter information of the human body can accurately reflect the health state of the user, in actual work, the user can carry the portable acquisition device to acquire the physiological parameter information of the user in real time, so that accurate and efficient health diagnosis is realized.
For example, a user can wear a portable small acquisition device such as a smart bracelet and a necklace, and can acquire physiological parameter information of the user in real time by arranging sensing elements such as a pulse sensor and an electrocardio sensor on the small acquisition device so as to accurately reflect the health degree of the user.
Furthermore, the physiological parameter information of the user is acquired in real time through the acquisition device, the physiological parameter information comprises electrocardiosignals, pulse signals, blood pressure information and the like, and the acquired physiological parameter information of the user is sent to the acquisition module.
And the user management module is used for managing multiple users and the physiological parameter information of the multiple users.
Specifically, the user management module manages multiple users, including creation, deletion, information synchronization, user authentication, and the like of the users; the user management module comprises a user side and a user side, and the user side is used for the user to perform input and query operations.
Furthermore, the user can input personal information of the user through the user side to create a personal account, the user management module can distinguish different users through user names and passwords created by the user to provide services for the user, after the personal account of the user is created, the user management module can locally store the personal information of the user and the physiological parameter information acquired by the acquisition module for the personal account of each user, and therefore the user can view the related physiological parameter information of the user and change the personal information under the condition that the user does not visit a webpage.
Furthermore, the user management module can match the physiological parameter information of the user acquired by the acquisition module with a personal account created by the user, the user management module performs identity verification on the user in the process of acquiring the physiological parameter information of the user in real time or after the acquisition is completed, and if the verification is successful, the user management module sends the physiological parameter information of the user to the personal account of the user; if the verification is unsuccessful, sending error information to the user side to remind the user.
For example, in the real-time operation, after the acquisition module acquires the physiological parameter information of the user, the user performs authentication by inputting a user password, if the user password is correct, the user management module sends the physiological parameter information of the user to a personal account of the user, and if the user password is wrong, the user management module reminds the user of the password error at the user side.
The user management module also comprises a positioning module used for acquiring the position information of the user in real time; and the emergency notification module is used for acquiring the emergency contact information of the user and notifying the emergency contact of the user.
Specifically, the user can set emergency contact information in the personal information, when an emergency occurs, the user management module can communicate with the emergency contact of the user through the emergency notification module and send the position information of the user acquired by the positioning module to the emergency contact of the user, so that the user can be timely rescued, and accidents of the user are prevented.
And the cloud storage module is used for updating and storing the personal accounts of multiple users.
And the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user.
Specifically, personal information input by a user and physiological parameter information acquired by the acquisition module are stored in the cloud storage module, and the physical indexes of each user are different, so that the corresponding physiological parameters in a health state are mostly different, and in order to accurately diagnose the health of multiple users, the physical indexes of each user and the physiological parameter information acquired in real time need to be combined for judgment.
Further, the big data diagnosis module comprises a big data analysis module used for dividing physiological parameter intervals according to the posture indexes of the user; and the judging module is used for comparing the physiological parameter information of the user with the divided physiological parameter intervals and judging the health degree of the user.
Furthermore, by acquiring the personal information of the user in the cloud storage module, the posture index of the user can be determined according to the personal information of the user, and then the interval of each physiological parameter corresponding to the health state, the sub-health state and the disease state under the posture index is obtained through analysis of the big data analysis module.
Furthermore, the physiological parameter information of the user collected in real time is compared with physiological parameter intervals corresponding to the health state, the sub-health state and the disease state under the posture index obtained by analysis of the big data analysis module through the judgment module, the health degree of the user is judged, the possible diseases are evaluated according to different health degrees, and a big data diagnosis report is generated.
For example, according to different health degrees, the big data diagnosis report can display the variation trend of the physiological parameters of the user, the types of possible diseases, health guidance, life style management, medical care schemes and the like aiming at different health degrees.
Further, the big data diagnosis module can determine the standard intake of each nutrient element per day of the posture characteristics according to the posture characteristics of the user; in addition, in order to improve the analysis result of the user, the big data diagnosis module can determine the standard intake of each nutrient element of the user every day according to the health degree of the user.
For example, if the user is in a sub-health state and the disease is hyperlipidemia, the standard intake of each nutrient element per day is as follows: caloric is the standard intake; cholesterol, mild < 300mg, moderate < 200 mg; p/s = 1.5-2; vitamins and minerals are the standard intake of this body constitution.
For example, if the user is in a disease state and the disease type is obesity, the standard intake of each nutrient element per day is: caloric is the caloric intake of standard body weight; the protein accounts for 16-25% of the total heat, and accounts for 1g/kg of the body weight; the fat is less than 50g, and accounts for less than 30% of the total calories; 50-200 g of sugar; 1-3 g of sodium; vitamins and minerals are the standard intake of this body constitution.
Furthermore, after the judgment is finished, the big data diagnosis module can feed back the big data diagnosis report to the user side, and the user can select whether to carry out doctor diagnosis according to the big data diagnosis report.
And the treatment end is used for medical operation of a doctor.
Specifically, after the user obtains the big data diagnosis report, the doctor selects to perform doctor diagnosis, the doctor and the user can interact with the user side through the treatment end, and in the interaction process, the doctor can obtain the personal information, the historical physiological parameter information and the historical big data diagnosis report of the user in the cloud storage module to generate a medical diagnosis result, so that the user can be diagnosed more accurately.
Furthermore, the user can also check the historical physiological parameter information and the historical big data diagnosis report of the user in the cloud storage module, so that the health state of the user can be evaluated, communication between the doctor and the patient is more convenient, and the fluency of remote medical treatment can be improved.
The treatment end can record the diagnosis process of the doctor, and uploads the diagnosis process of the doctor to the personal account of the user after the medical service process of the user is finished, so that the user can keep in mind the medical advice and help the user to carry out rehabilitation treatment.
And the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result.
Specifically, supplementary module accessible auxiliary device carries out complementary treatment to the user, as shown in fig. 2 and fig. 3, auxiliary device includes bed body 1, bed board 2, rotating assembly 3, pneumatic cylinder 4 and helps dormancy thing 5, bed board 2 set up in on the bed body 1, rotating assembly 3 with 2 both sides of bed board are rotated and are connected, pneumatic cylinder 4 one end with 2 bottoms of bed board are rotated and are connected, the pneumatic cylinder 4 other end with 1 bottom of the bed body is rotated and is connected, help dormancy thing 5 set up in on the bed body 1.
The bed body 1 comprises a frame body 11 and a support frame 12, wherein the support frame 12 is arranged in the frame body 11, two ends of the support frame 12 are fixedly connected with the frame body 11, support plates 13 are arranged on two sides of the frame body 11, the support plates 13 are fixedly connected with the frame body 11, a controller 6 is arranged on one side of the support frame 12, and the bed body 2 is arranged on the support frame 12.
As shown in fig. 4, the rotating assembly 3 includes a first rotating member 31, a second rotating member 32 and a rotating shaft 33, the first rotating member 31 is sleeved with the second rotating member 32, and the rotating shaft 33 is rotatably connected with the first rotating member 31 and the second rotating member 32 respectively.
The first rotating member 31 and the second rotating member 32 are respectively provided with a rotating hole 34, the first rotating member 31 is provided with a sliding groove 311, and the second rotating member 32 is provided with a sliding block 321, so that the sliding block 321 can slide in the sliding groove 311.
A through hole is formed in the bed plate 2, and the rotating shaft 33 is rotatably connected with the bed plate 2 through the through hole.
The bottom of the bed board 2 and the bottom of the frame body 11 are both provided with a rotating support 7, rotating holes are formed in two ends of the hydraulic cylinder 4, two ends of the hydraulic cylinder 4 are sleeved in the rotating support 7, and the hydraulic cylinder 4 is rotatably connected with the rotating support 7 through a connecting piece.
In the intelligent sleeping system provided by the embodiment of the invention, the sleep-aiding object 5 is arranged on the supporting plate 13, and the sleep-aiding object 5 is prepared from 7-9 parts of ethanol, 56-68 parts of pure water, 2-3 parts of orange flower essential oil, 2-3 parts of olive oil, 6-9 parts of kenaf powder, 1-2 parts of rose essential oil, 1-4 parts of lavender essential oil and 1-5 parts of chamomile essential oil according to the mass ratio, so that the sleep-aiding system has the effects of soothing the nerves and aiding sleep, can effectively promote the sleep of a user, improves the sleeping quality of the user and improves the body health of the user.
In a preferred embodiment, the sleep-aid 5 is prepared from 7 parts of ethanol, 60 parts of pure water, 2 parts of orange flower essential oil, 2 parts of olive oil, 7 parts of kenaf powder, 1 part of rose essential oil, 1 part of lavender essential oil and 3 parts of chamomile essential oil according to the mass ratio.
In a preferred embodiment, the sleep aid 5 is prepared from 8 parts of ethanol, 61 parts of pure water, 3 parts of orange flower essential oil, 2 parts of olive oil, 8 parts of kenaf powder, 2 parts of rose essential oil, 3 parts of lavender essential oil and 4 parts of chamomile essential oil according to the mass ratio.
In a preferred embodiment, the hypnotic 5 is prepared from 9 parts of ethanol, 64 parts of pure water, 3 parts of orange flower essential oil, 2 parts of olive oil, 9 parts of kenaf powder, 2 parts of rose essential oil, 4 parts of lavender essential oil and 5 parts of chamomile essential oil according to the mass ratio.
In actual operation, the first rotating member 31 and the second rotating member 32 are respectively arranged on two adjacent bed frames 2, a user can adjust the bed plate 2 through the controller 6, and through the cooperation of the hydraulic cylinder 4 and the rotating assembly 3, a certain bed plate 2 can rotate in a small amplitude, so that the sleeping posture of the user can be changed, the sleeping quality of the user can be greatly improved through the sleep-assisting object 5, auxiliary treatment can be performed on the user, and the health of the user can be restored.
For example, the user suffers from cervical vertebra or lumbar vertebra diseases, the auxiliary device can help the user relieve pain, improve the sleep quality of the user and rest the user, so that auxiliary treatment can be performed on the user.
The system also comprises a monitoring module which is used for identifying the face of the user and helping the user send out a distress signal so as to strengthen the monitoring safety of the user.
Specifically, for some users with serious diseases, physical discomfort or other special reasons may occur during sleeping, and the users cannot help themselves, so that the users miss the help time and are in danger of life.
Furthermore, an image acquisition device is arranged at the upper end of the bed body 1, when a user sleeps, the monitoring module acquires real-time images of the user through the image acquisition device, identifies the acquired facial images of the user, extracts facial feature points, judges whether the user has pain or not through identifying the facial feature points, and sends a distress signal to an emergency contact of the user through the emergency notification module if the user has pain; the monitoring module is pre-stored with a face image when the user is calm.
Further, whether the pain phenomenon occurs to the user is judged through the following steps:
denoising the acquired image information, and extracting facial feature points;
setting an eyebrow moment threshold P according to the stored face image when the user is calm0Threshold value of face torsion degree R0Lip width variation threshold Y0；
Calculating the change of the obtained facial feature points, and judging a threshold value according to the change degree of the facial feature points; if two or more of the user's moment between eyebrows, face twist and lip width variation exceed the threshold P0Threshold value of face torsion degree R0And lip width variation threshold Y0If the user is in a painful state, otherwise, the user is in a calm state;
establishing a time-state coordinate system according to the judgment result, setting a sliding window with the length of t on the time coordinate axis, and calculating the time ratio W of the pain time of the user to the length of the sliding window in the sliding windowt(ii) a Among them, t is preferably 5 min.
Setting pain threshold W0If W ist＞W0And judging that the user has pain, and sending a distress signal to an emergency contact of the user.
In another preferred embodiment, the system further comprises a private key generator for implementing security protection on the privacy of the user between the user and the doctor.
Specifically, the treatment end generates a temporary identification code tID for the user, anonymizes the identity of the user, and generates a secret key pair (PK, SK) and (PK) by the user according to the temporary identification code tID0，SK0) Meanwhile, the physiological parameter information and the medical diagnosis result of the user are encrypted and communicated to protect the information security of the user.
Further, let G1、G2Represents two identical multiplication loop groups of order P; let G1 be G1G is a generator of2Is G2A generator of (1), GTIs one satisfies
An addition group of (1); order to
Are bilinear pairs with the following characteristics: firstly, linear pair: for all h
G1，k
G2，u，
，e(hu,kv)=e(h,k)uv② non-degeneration: e (g)1,g2)≠1T，1TIs GTA unit cell of (a); (iii) computability: for all h
G1,k
G2There is an effectThe algorithm can calculate in polynomial time
。
Further, a secret key pair and an encryption secret key pair are distributed to the user, the treatment end and the doctor through a private key generator, namely, the order G1、G2、GT、P、
、g1、g2Q is consistent with the above definition, and H is an anti-collision hash function.
Further, a signature key Pair (PK) is randomly generated for each user0，SK0) = (X, X), let SK0=x
RZ* P，PK0=X=gx 2 
G2Computing the EIGamal algorithm randomly generates a user encryption key Pair (PK)1，SK1）。
Further, a signature key Pair (PK) is randomly generated for each therapy end0，SK0) = (X, X), let SK0=x
RZ* P，PK0=X=gx 2 
G2Computing the EIGamal algorithm randomly generates a therapy encryption key Pair (PK)2，SK2）。
Further, a signature key Pair (PK) is randomly generated for each doctor0，SK0) = (X, X), let SK0=x
RZ* P，PK0=X=gx 2 
G2Computing the EIGamal algorithm randomly generates a doctor's encryption key Pair (PK)3，SK3）。
Further, the generated encryption key pairs of the user, the treatment end and the doctor are sent to the corresponding user, the treatment end and the doctor, so that the user who is not in the system can not contact the medical data with the user, and the safety of the data information in the remote medical treatment is guaranteed.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a telemedicine system based on big data, which is used for acquiring physiological parameter information of a user in real time through an acquisition module; the user management module is used for managing multiple users and physiological parameter information of the multiple users; the cloud storage module is used for updating and storing the personal accounts of multiple users; the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user; the treatment end is used for medical operation of a doctor; the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result; the remote medical diagnosis can be realized for the user, the body health degree of the user can be accurately analyzed, the user can timely know the body condition of the user, and the user is helped to carry out rehabilitation treatment.
Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that various changes, modifications and substitutions can be made without departing from the spirit and scope of the invention as defined by the appended claims. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A big data based telemedicine system, characterized by: the method comprises the following steps:
the acquisition module is used for acquiring physiological parameter information of a user in real time;
the user management module is used for managing multiple users and physiological parameter information of the multiple users;
the cloud storage module is used for updating and storing the personal accounts of multiple users;
the big data diagnosis module is used for carrying out health diagnosis on the user according to the physiological parameter information and the personal information of the user;
the treatment end is used for medical operation of a doctor;
and the auxiliary module is used for carrying out auxiliary treatment on the user according to the medical diagnosis result.
2. The big-data based telemedicine system of claim 1, wherein: the acquisition module acquires the physiological parameter information of the user in real time through the acquisition device so as to accurately reflect the health degree of the user.
3. The big-data based telemedicine system of claim 2, wherein: the user management module comprises:
the user side is used for the user to perform input and query operations;
the positioning module is used for acquiring the position information of the user in real time;
and the emergency notification module is used for acquiring the emergency contact information of the user and notifying the emergency contact of the user.
4. The big-data based telemedicine system of claim 3, wherein: the user inputs personal information of the user through the user side to create a personal account, and the user management module distinguishes different users through user names and passwords created by the user.
5. The big-data based telemedicine system of claim 4, wherein: the user management module matches the acquired physiological parameter information of the user with a personal account created by the user, the user management module verifies the identity of the user in the process of acquiring the physiological parameter information of the user in real time or after the acquisition is completed, and if the verification is successful, the user management module sends the physiological parameter information of the user to the personal account of the user; if the verification is unsuccessful, sending error information to the user side to remind the user.
6. The big-data based telemedicine system of claim 5, wherein: the big data diagnosis module comprises:
the big data analysis module is used for dividing physiological parameter intervals according to the posture indexes of the user;
and the judging module is used for comparing the physiological parameter information of the user with the divided physiological parameter intervals and judging the health degree of the user.
7. The big-data based telemedicine system of claim 6, wherein: the personal information of the user in the cloud storage module is obtained, the posture index of the user is determined according to the personal information of the user, and the physiological parameter intervals corresponding to the health state, the sub-health state and the disease state under the posture index are obtained through analysis of the big data analysis module; the physiological parameter information of the user collected in real time is compared with physiological parameter intervals corresponding to the health state, the sub-health state and the disease state under the posture index obtained by analysis of the big data analysis module through the judgment module, the health degree of the user is judged, the possible diseases are evaluated according to different health degrees, and a big data diagnosis report is generated.
8. The big-data based telemedicine system of claim 7, wherein: after the judgment is finished, the big data diagnosis module can feed back the big data diagnosis report to the user side, the user can select whether to carry out doctor diagnosis according to the big data diagnosis report, if the doctor diagnosis is selected, the doctor and the user can interact with the user side through the treatment side, and in the interaction process, the doctor can obtain personal information, historical physiological parameter information and the historical big data diagnosis report of the user in the cloud storage module to generate a medical diagnosis result.
9. The big-data based telemedicine system of claim 8, wherein: the treatment end records the diagnosis process of the doctor, uploads the diagnosis process of the doctor to the cloud storage module and stores the diagnosis process of the doctor to the personal account of the user after the medical service process of the user is finished.
10. The big-data based telemedicine system of claim 9, wherein: the auxiliary module carries out auxiliary treatment on the user through the auxiliary device.
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