CN113257424B - A telemedicine system based on big data - Google Patents

Abstract

The invention relates to a telemedicine system based on big data, comprising: a collection module for collecting the physiological parameter information of users in real time; a user management module for managing multi-user and multi-user physiological parameter information; a cloud storage module , used to update and store the personal accounts of multiple users; the big data diagnosis module is used to diagnose the user's health based on the user's physiological parameter information and personal information; the treatment terminal is used for doctors to perform medical operations; the auxiliary module is used to perform medical operations according to Medical diagnosis results, auxiliary treatment for users. The present invention can realize remote medical diagnosis for the user, can accurately analyze the physical health of the user, enable the user to know his physical condition in time, and help the user to carry out rehabilitation treatment.

Description

A telemedicine system based on big data

technical field

The invention relates to the field of medical technology, in particular to a telemedicine system based on big data.

Background technique

The current applications of telemedicine generally include remote diagnosis, remote communication, expert consultation, and information services. These applications are based on computer and network communication, and transmit medical information and remote video and audio data. , save, view, search, compare, present and share.

In the prior art, when the number of medical diagnostic personnel is insufficient or busy, the diagnosis of the patient is not timely, and the physical health of the user cannot be accurately analyzed.

SUMMARY OF THE INVENTION

In order to solve the above-mentioned technical defects in the prior art, the present invention provides a telemedicine system based on big data, which can effectively solve the problems in the background art.

In order to solve the above-mentioned technical problems, the technical solutions provided by the present invention are as follows:

The embodiment of the present invention discloses a telemedicine system based on big data, comprising: a collection module for collecting the physiological parameter information of a user in real time;

The user management module is used to manage multi-user and multi-user physiological parameter information;

Cloud storage module for updating and storing personal accounts of multiple users;

The big data diagnosis module is used to diagnose the user's health according to the user's physiological parameter information and personal information;

The treatment end is used for doctors to perform medical operations;

The auxiliary module is used to perform auxiliary treatment on the user according to the medical diagnosis result.

In any of the above solutions, preferably, the collection module collects the physiological parameter information of the user in real time through the collection device, so as to accurately reflect the health of the user.

Preferably in any of the above solutions, the user management module includes:

The user terminal is used for user input and query operations;

The positioning module is used to obtain the user's location information in real time;

The emergency notification module is used to obtain the user's emergency contact information and notify the user's emergency contact.

In any of the above solutions, it is preferable that the user enters his own personal information through the user terminal to create a personal account, and the user management module distinguishes different users through the user name and password created by the user.

In any of the above solutions, preferably, the user management module matches the collected physiological parameter information of the user with the personal account created by the user, and during or after the real-time collection of the user's physiological parameter information, the user management module The user performs identity verification. If the verification is successful, the user management module sends the user's physiological parameter information to the user's personal account; if the verification is unsuccessful, an error message is sent to the client to remind the user.

Preferably in any of the above solutions, the big data diagnosis module includes: a big data analysis module for dividing the physiological parameter interval according to the user's posture index;

The judgment module is used to compare the physiological parameter information of the user with the divided physiological parameter intervals to judge the health degree of the user.

In any of the above solutions, it is preferable to obtain the user's personal information in the cloud storage module, determine the user's posture index according to the user's personal information, and obtain the healthy state and sub-health state under the posture index through the analysis of the big data analysis module. , the interval of each physiological parameter corresponding to the disease state; through the judgment module, the physiological parameter information of the user collected in real time and the physiological parameter information corresponding to the healthy state, sub-health state and disease state under the body index obtained by the analysis of the big data analysis module The parameter interval is compared to judge the health level of the user, evaluate the possible diseases according to different health levels, and generate a big data diagnosis report.

Preferably in any of the above solutions, after the judgment is completed, the big data diagnosis module can feed back the big data diagnosis report to the user terminal, and the user can choose whether to carry out the doctor's diagnosis according to the big data diagnosis report. And the user can interact with the user through the treatment terminal. During the interaction process, the doctor can obtain the user's personal information, historical physiological parameter information and historical big data diagnosis report in the cloud storage module to generate medical diagnosis results.

In any of the above solutions, preferably, the treatment end records the doctor's diagnosis process, and after the medical service process for the user is over, the treatment end uploads the doctor's diagnosis process to the cloud storage module, and saves it to the user's personal account .

In any of the above solutions, preferably, the auxiliary module performs auxiliary treatment on the user through the auxiliary device.

Preferably in any of the above solutions, the auxiliary device includes a bed body, a bed board, a rotating assembly, a hydraulic cylinder and a sleep aid, the bed board is arranged on the bed body, and the rotating assembly rotates with both sides of the bed board One end of the hydraulic cylinder is rotatably connected to the bottom of the bed board, the other end of the hydraulic cylinder is rotatably connected to the bottom of the bed body, and the sleep aid is arranged on the bed body.

In any of the above solutions, preferably, the bed body includes a frame body and a support frame, the support frame is arranged in the frame body, and both ends of the support frame are fixedly connected to the frame body, and the frame body Two sides are provided with support plates, the support plates are fixedly connected with the frame body, a controller is provided on one side of the support frame, and the bed body is set on the support frame.

In any of the above solutions, preferably, the rotating assembly includes a first rotating member, a second rotating member and a rotating shaft, the first rotating member is sleeved and connected to the second rotating member, and the rotating shafts are respectively It is rotatably connected with the first rotating member and the second rotating member.

In any of the above solutions, preferably, the first rotating member and the second rotating member are respectively provided with rotating holes, the first rotating member is provided with a sliding groove, and the second rotating member is provided with There are sliding blocks, so that the sliding blocks can slide in the sliding grooves.

In any of the above solutions, preferably, a through hole is formed on the bed plate, and the rotating shaft is rotatably connected to the bed plate through the through hole.

In any of the above solutions, preferably, the bottom of the bed board and the bottom of the frame are provided with rotating brackets, the two ends of the hydraulic cylinder are provided with rotating holes, and the two ends of the hydraulic cylinder are sleeved on the rotating brackets Inside, the hydraulic cylinder is rotatably connected with the rotating support through a connecting piece.

Preferably in any of the above schemes, the sleep aid is arranged on the support plate 13, and the sleep aid 5 is composed of 7-9 parts of ethanol, 56-68 parts of pure water, 2 -3 parts of neroli essential oil, 2-3 parts of olive oil, 6-9 parts of water hemp skin powder, 1-2 parts of rose essential oil, 1-4 parts of lavender essential oil, 1-5 parts of chamomile essential oil It has the effect of soothing the nerves and helping sleep, which can effectively promote the user's sleep, improve the user's sleep quality, and improve the user's physical health.

Preferably in any of the above-mentioned schemes, the sleep aid is composed of 7 parts of ethanol, 60 parts of pure water, 2 parts of neroli essential oil, 2 parts of olive oil, 7 parts of water hemp skin powder by mass ratio , 1 part rose essential oil, 1 part lavender essential oil, 3 parts chamomile essential oil.

Preferably in any of the above-mentioned programs, the sleep aid is composed of 8 parts of ethanol, 61 parts of pure water, 3 parts of neroli essential oil, 2 parts of olive oil, 8 parts of water hemp skin powder by mass ratio , 2 parts rose essential oil, 3 parts lavender essential oil, 4 parts chamomile essential oil.

Preferably in any of the above-mentioned schemes, the sleep aid is composed of 9 parts of ethanol, 64 parts of pure water, 3 parts of neroli essential oil, 2 parts of olive oil, 9 parts of water hemp skin powder by mass ratio , 2 parts rose essential oil, 4 parts lavender essential oil, 5 parts chamomile essential oil.

Compared with the prior art, the beneficial effects of the present invention:

The present invention provides a telemedicine system based on big data. The acquisition module is used for real-time acquisition of user's physiological parameter information; the user management module is used to manage multi-user and multi-user physiological parameter information; the cloud storage module , which is used to update and store the personal accounts of multiple users; the big data diagnosis module is used to diagnose the user's health according to the user's physiological parameter information and personal information; the treatment terminal is used for doctors to perform medical operations; the auxiliary module is used to perform medical operations according to The results of medical diagnosis can provide auxiliary treatment for users; it can realize remote medical diagnosis of users, and can accurately analyze the physical health of users, so that users can timely understand their physical conditions and help users carry out rehabilitation treatment.

Description of drawings

The accompanying drawings are used for further understanding of the present invention, and together with the embodiments of the present invention, they are used to explain the present invention, and are not intended to limit the present invention.

Fig. 1 is the module schematic diagram of the present invention;

Figure 2 is a side view of the auxiliary device of the present invention;

Fig. 3 is the 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.

Description of the labels in the figure:

1. Bed body; 2. Bed board; 3. Rotating component; 4. Hydraulic cylinder; 5. Sleep aid; 6. Controller; 7. Rotating bracket; 11. Frame body; 12. Support frame; 13. Pallet; 31. The first rotating part; 32. The second rotating part; 33. The rotating shaft; 34. The rotating hole; 311, the sliding groove; 321, the sliding block.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it can be directly on the other element or 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 indirectly connected to the other element.

In the description of the present invention, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inside", "outside", etc. are based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present invention and simplifying the description, rather than An indication or implication that the referred device or element must have a particular orientation, be constructed and operate in a particular orientation, is not to be construed as a limitation of the invention.

In addition, the terms "first" and "second" are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature defined as "first" or "second" may expressly or implicitly include one or more of that feature. In the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

In order to better understand the above technical solutions, the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

The present invention provides a telemedicine system based on big data, as shown in FIG. 1 , the system includes:

The acquisition module is used for real-time acquisition of the user's physiological parameter information.

Specifically, because the physiological parameter information of the human body can often accurately reflect the health status of the user, in actual work, the user can collect the physiological parameter information of himself in real time by carrying a portable collection device, so as to achieve accurate and efficient processing. Health diagnosis.

For example, users can wear portable small collection devices such as smart bracelets and necklaces. By setting up sensing elements such as pulse sensors and ECG sensors on the small collection devices, the user's physiological parameter information can be collected in real time, so as to achieve accurate reflects the health of the user.

Further, the collection device collects the user's physiological parameter information in real time, the physiological parameter information includes ECG signal, pulse signal, blood pressure information, etc., and the collected user's physiological parameter information is sent to the collection module.

The user management module is used to manage multi-user and multi-user physiological parameter information.

Specifically, the management of multiple users by the user management module includes user creation, deletion, information synchronization, user verification, etc.; the user management module includes a user terminal, a user terminal, and is used for user input and query operations.

Further, the user can enter his own personal information through the user terminal to create a personal account, and the user management module distinguishes different users through the user name and password created by the user, so as to provide services for the user, after the user's personal account is created. , the user management module can locally save each user's personal information and the physiological parameter information collected by the collection module for each user's personal account, so that users can view their own relevant physiological parameter information and change without visiting the web page. Personal information.

Further, the user management module can match the user's physiological parameter information collected by the collection module with the personal account created by the user, and during the real-time collection of the user's physiological parameter information or after the collection is completed, the user management module authenticates the user. , if the verification is successful, the user management module will send the user's physiological parameter information to the user's personal account; if the verification is unsuccessful, an error message will be sent to the user terminal to remind the user.

For example, in real-time operation, after the collection module collects the user's physiological parameter information, the user performs identity verification by entering the user password. If the user password is correct, the user management module sends the user's physiological parameter information to the user's personal account. If the user password is wrong, the user management module will remind the user that the password is wrong at the user end.

The user management module further includes a positioning module for acquiring the user's location information in real time; an emergency notification module for acquiring the user's emergency contact information and notifying the user's emergency contact.

Specifically, the user can set emergency contact information in the personal information. In the event of an emergency, the user management module can contact the emergency contact of the user through the emergency notification module, and send the location information of the user obtained by the positioning module. Provide emergency contacts to users to help users in a timely manner and prevent accidents.

The cloud storage module is used to update and store the personal accounts of multiple users.

The big data diagnosis module is used to diagnose the user's health according to the user's physiological parameter information and personal information.

Specifically, the personal information entered by the user and the physiological parameter information collected by the collection module are stored in the cloud storage module. Since each user has different posture indicators, the corresponding physiological parameters in the health state are mostly different. In order to achieve accurate one-to-many When a user performs health diagnosis, it is necessary to combine the physical index of each user with the physiological parameter information collected in real time.

Further, the big data diagnosis module includes a big data analysis module, which is used to divide the physiological parameter interval according to the user's posture index;

Further, by obtaining the user's personal information in the cloud storage module, the user's body posture index can be determined according to the user's personal information, and then the health state, sub-health state, and disease state corresponding to the body state index can be obtained through the analysis of the big data analysis module. interval of each physiological parameter.

Further, through the judgment module, the physiological parameter information of the user collected in real time is compared with the physiological parameter interval corresponding to the healthy state, sub-health state, and disease state under the posture index analyzed by the big data analysis module, and the user is judged. According to different health levels, the possible diseases are evaluated and big data diagnosis reports are generated.

For example, according to different levels of health, big data diagnostic reports can display the trend of changes in the user's physiological parameters, the types of diseases that may occur, and generate health guidance, lifestyle management, and healthcare programs for different health levels.

Further, the big data diagnosis module can determine the daily standard intake of each nutrient element according to the physical characteristics of the user; in addition, in order to improve the analysis results of the user, the big data diagnosis module can be based on the user's health. , to determine the standard daily intake of each nutrient element for the user.

For example, if the user is in a sub-health state, and the possible disease is hyperlipidemia, the standard daily intake of each nutrient element is: calorie is the standard intake; cholesterol, mild <300mg, moderate to severe <200mg; p/s =1.5~2; vitamins and minerals are the standard intake of the body.

For example, if the user has a disease state and the disease type is obesity, the standard daily intake of each nutrient element is: calorie is the calorie intake of the standard body weight; protein is 1g/kg body weight, accounting for 16% of the total calories~ 25%; fat <50g, accounting for <30% of total calories; sugar 50~200g; sodium 1~3g; vitamins and minerals are the standard intake for this body.

Further, after the judgment is completed, the big data diagnosis module can feed back the big data diagnosis report to the user terminal, and the user can choose whether to carry out a doctor's diagnosis according to the big data diagnosis report.

The treatment end is used for doctors to perform medical operations.

Specifically, after the user obtains the big data diagnosis report and chooses to conduct a doctor's diagnosis, the doctor and the user can interact with the user through the treatment terminal. During the interaction, the doctor can obtain the user's personal information and historical physiological parameters in the cloud storage module. Information and historical big data diagnosis report, generate medical diagnosis results, in order to achieve more accurate diagnosis of users.

Further, users can also view their own historical physiological parameter information and historical big data diagnosis reports in the cloud storage module, so as to evaluate their own health status, so as to realize more convenient communication between doctors and patients, and increase the smoothness of telemedicine. sex.

Among them, the treatment end can record the doctor's diagnosis process. When the medical service process for the user is over, the treatment end uploads the doctor's diagnosis process to the user's personal account, so that the user can remember the doctor's advice and help the user carry out rehabilitation treatment. .

The auxiliary module is used to perform auxiliary treatment on the user according to the medical diagnosis result.

Specifically, the auxiliary module can perform auxiliary treatment on the user through the auxiliary device. As shown in FIG. 2 and FIG. 3 , the auxiliary device includes a bed body 1 , a bed board 2 , a rotating assembly 3 , a hydraulic cylinder 4 and a sleep aid 5 . The bed board 2 is arranged on the bed body 1 , the rotating assembly 3 is rotatably connected to both sides of the bed board 2 , one end of the hydraulic cylinder 4 is rotatably connected to the bottom of the bed board 2 , and the other end of the hydraulic cylinder 4 is rotatably connected to the bottom of the bed board 2 . The bottom of the bed body 1 is rotatably connected, and the sleep aid 5 is arranged on the bed body 1 .

The bed body 1 includes a frame body 11 and a support frame 12. The support frame 12 is arranged in the frame body 11. Both ends of the support frame 12 are fixedly connected to the frame body 11. The frame body 11 has two ends. A support plate 13 is arranged on the side, and the support plate 13 is 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 and connected to the second rotating member 32 . The shafts 33 are respectively rotatably connected with the first rotating member 31 and the second rotating member 32 .

The first rotating member 31 and the second rotating member 32 are respectively provided with rotating holes 34 , the first rotating member 31 is provided with a sliding slot 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 .

The bed plate 2 is provided with a through hole, and the rotating shaft 33 is rotatably connected to the bed plate 2 through the through hole.

Both the bottom of the bed board 2 and the bottom of the frame body 11 are provided with a rotating bracket 7 , the two ends of the hydraulic cylinder 4 are provided with rotating holes, and the two ends of the hydraulic cylinder 4 are sleeved in the rotating bracket 7 . The hydraulic cylinder 4 is rotatably connected to the rotating support 7 through a connecting piece.

In the intelligent sleep system according to the embodiment of the present invention, the sleep aid 5 is arranged on the support plate 13, and the sleep aid 5 is composed of 7-9 parts of ethanol and 56-68 parts of ethanol according to the mass ratio. Pure water, 2-3 parts of neroli essential oil, 2-3 parts of olive oil, 6-9 parts of water hemp skin powder, 1-2 parts of rose essential oil, 1-4 parts of lavender essential oil, 1-5 parts of Made of chamomile essential oil, it has the effect of soothing the nerves and helping sleep, which can effectively promote the user's sleep, improve the user's sleep quality, and improve the user's physical health.

In a preferred embodiment, the sleep aid 5 is composed of 7 parts of ethanol, 60 parts of pure water, 2 parts of neroli essential oil, 2 parts of olive oil, 7 parts of water hemp skin powder, Made with 1 part rose essential oil, 1 part lavender essential oil, and 3 parts chamomile essential oil.

In a preferred embodiment, the sleep aid 5 is composed of 8 parts of ethanol, 61 parts of pure water, 3 parts of neroli essential oil, 2 parts of olive oil, 8 parts of water hemp skin powder, Made with 2 parts rose essential oil, 3 parts lavender essential oil, and 4 parts chamomile essential oil.

In a preferred embodiment, the sleep aid 5 is composed of 9 parts of ethanol, 64 parts of pure water, 3 parts of neroli essential oil, 2 parts of olive oil, 9 parts of water hemp skin powder, Made with 2 parts rose essential oil, 4 parts lavender essential oil, and 5 parts chamomile essential oil.

In actual operation, the first rotating member 31 and the second rotating member 32 are respectively provided on two adjacent bed frames 2 , and the user can adjust the bed board 2 through the controller 6 . The cooperation of the hydraulic cylinder 4 and the rotating component 3 can make a certain piece of the bed board 2 rotate in a small range to achieve the purpose of changing the sleeping posture of the user, and the sleeping aid 5 can improve the sleeping quality of the user. Improve, can carry out auxiliary treatment to the user, help the user to restore health.

For example, if the user suffers from cervical spine or lumbar spine diseases, the above-mentioned auxiliary device can help the user to relieve pain, improve the user's sleep quality, and help the user to rest, so as to achieve auxiliary treatment for the user.

The system further includes a monitoring module for recognizing the user's face and helping the user to send out a distress signal, so as to enhance the monitoring security of the user.

Specifically, some seriously ill users may experience physical discomfort or other special reasons when sleeping, and cannot self-help, resulting in missed rescue time and life-threatening situations.

Further, by setting an image acquisition device on the upper end of the bed body 1, when the user is sleeping, the monitoring module collects real-time images of the user through the image acquisition device, recognizes the collected facial images of the user, and extracts facial features. If there is pain, the emergency notification module sends a distress signal to the emergency contact of the user; wherein, the monitoring module pre-stores the facial image of the user when the user is calm.

Further, determine whether the user has pain by the following steps:

Denoise the collected image information and extract facial feature points;

According to the stored facial image when the user is calm, set the threshold P ₀ of the moment between the eyebrows, the threshold of facial distortion R ₀ , and the change threshold of lip width Y ₀ ;

Calculate the change of the obtained facial feature points, and judge the threshold value according to the degree of change of the facial feature points; P ₀ , the facial distortion threshold R ₀ and the lip width change threshold Y ₀ , the user is in a pain state, otherwise it is a calm state;

Establish a time-state coordinate system according to the judgment result, and set a sliding window with a length of t on the time coordinate axis, calculate in the sliding window, the time ratio W _t of the user's pain time and the sliding window length; wherein, t is preferably 5min .

A pain threshold W ₀ is set, and if W _t > W ₀ , it is determined that the user has pain, and a distress signal is sent to the user's emergency contact.

In another preferred embodiment, the system further includes a private key generator, which is used to protect 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 user's identity, and the user generates a key pair (PK, SK) and (PK ₀ , SK ₀ ) according to the temporary identification code tID, and the user The physiological parameter information and medical diagnosis results are encrypted and communicated to protect the user's information security.

的加法群；令

为具有如下特性 的双线性对：①线性对：对于所有的h

G1，k

G2，u，

，e(h^u,k^v)=e(h,k)^uv;②非退化性： e(g₁,g₂)≠1_T，1_T为G_T的单位元；③可计算性：对于所有的h

G₁,k

G₂存在有效的算法可以在 多项式时间内计算出

。 Further, G ₁ and G ₂ can be made to represent two multiplicative cyclic groups of the same order P; let g1 be the generator of G ₁ , g ₂ be the generator of G ₂ , and G _T is a

the additive group of ; let

is a bilinear pair with the following characteristics: ① Linear pair: for all h

G1, k

G2, u,

, e(h ^u ,k ^v )=e(h,k) ^uv ; ②Non-degenerate: e(g ₁ ,g ₂ )≠1 _T , 1 _T is the identity element of _GT ; ③ Computability: for all h

G ₁ ,k

There exist efficient algorithms for _G2 that can be computed in polynomial time

.

、g₁、g₂、q与上述定义一致，H为抗碰撞哈希函数。 Further, a key pair and an encryption key pair are distributed to the user, the treatment terminal, and the doctor through the private key generator, that is, G ₁ , G ₂ , _GT , P,

, g ₁ , g ₂ , and q are consistent with the above definitions, and H is a collision-resistant hash function.

_RZ^* _P，PK₀=X=g^x ₂

G₂，运算EIGamal算法随机生成用户加密密钥对（PK₁，SK₁）。Further, randomly generate a signature key pair (PK ₀ , SK ₀ )=(X, x) for each user, let SK ₀ =x

_R Z ^* _P , PK ₀ =X=g ^x ₂

G ₂ , operates the EIGamal algorithm to randomly generate a user encryption key pair (PK ₁ , SK ₁ ).

_RZ^* _P，PK₀=X=g^x ₂

G₂，运算EIGamal算法随机生成治疗加密密钥对（PK₂，SK₂）。Further, a signature key pair (PK ₀ , SK ₀ ) = (X, x) is randomly generated for each treatment terminal, let SK ₀ =x

_R Z ^* _P , PK ₀ =X=g ^x ₂

G ₂ , operating the EIGamal algorithm to randomly generate a treatment encryption key pair (PK ₂ , SK ₂ ).

_RZ^* _P，PK₀=X=g^x ₂

G₂，运算EIGamal算法随机生成医生加密密钥对（PK₃，SK₃）。Further, a signature key pair (PK ₀ , SK ₀ ) = (X, x) is randomly generated for each doctor, let SK ₀ =x

_R Z ^* _P , PK ₀ =X=g ^x ₂

G ₂ , operates the EIGamal algorithm to randomly generate a doctor encryption key pair (PK ₃ , SK ₃ ).

Further, the generated user, treatment and doctor encryption key pair is sent to the corresponding user, treatment terminal and doctor, so that users who are not in this system cannot contact the medical data with the user, and ensure the data information in telemedicine. safety.

Compared with the prior art, the present invention provides beneficial effects as follows:

The present invention provides a telemedicine system based on big data. The acquisition module is used for real-time acquisition of user's physiological parameter information; the user management module is used to manage multi-user and multi-user physiological parameter information; the cloud storage module , which is used to update and store the personal accounts of multiple users; the big data diagnosis module is used to diagnose the user's health according to the user's physiological parameter information and personal information; the treatment terminal is used for doctors to perform medical operations; the auxiliary module is used to perform medical operations according to The results of medical diagnosis can provide auxiliary treatment for users; it can realize remote medical diagnosis of users, and can accurately analyze the physical health of users, so that users can timely understand their physical conditions and help users carry out rehabilitation treatment.

The above are only preferred embodiments of the present invention, and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still describe the foregoing embodiments. modify the technical solutions, or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (9)

1. a telemedicine system based on big data, is characterized in that: comprise: The acquisition module is used to collect the user's physiological parameter information in real time; The user management module is used to manage multi-user and multi-user physiological parameter information; Cloud storage module for updating and storing personal accounts of multiple users; The big data diagnosis module is used to diagnose the user's health according to the user's physiological parameter information and personal information; The treatment end is used for doctors to perform medical operations; The auxiliary module is used to perform auxiliary treatment on the user according to the medical diagnosis result; the auxiliary module performs auxiliary treatment on the user through the auxiliary device; the auxiliary device includes a bed body (1), a bed board (2), a rotating assembly (3), hydraulic pressure A cylinder (4) and a sleep aid (5), the bed board (2) is arranged on the bed body (1), the rotating assembly (3) is rotatably connected to both sides of the bed board (2), and the One end of the hydraulic cylinder (4) is rotatably connected to the bottom of the bed board (2), the other end of the hydraulic cylinder (4) is rotatably connected to the bottom of the bed body (1), and the sleep aid (5) is arranged on the on the bed body (1); the bed body (1) includes a frame body (11) and a support frame (12), the support frame (12) is arranged in the frame body (11), and the support frame ( 12) Both ends are fixedly connected to the frame body (11), the two sides of the frame body (11) are provided with support plates (13), and the support plates (13) are fixedly connected to the frame body (11), A controller (6) is arranged on one side of the support frame (12), and the bed board (2) is arranged on the support frame (12); 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 and connected to the second rotating member (32), and the rotating shaft (33) is respectively connected to the first rotating member (32). The rotating member (31) and the second rotating member (32) are rotatably connected; the first rotating member (31) and the second rotating member (32) are respectively provided with rotating holes (34). A sliding groove (311) is provided on a rotating member (31), and a sliding block (321) is provided on the second rotating member (32), so as to realize the sliding block (321) in the sliding groove (311) The bed board (2) is provided with a through hole, and the rotating shaft (33) is rotatably connected to the bed board (2) through the through hole; the bottom of the bed board (2) is connected to the frame (2). 11) Rotating brackets (7) are provided at the bottom, and both ends of the hydraulic cylinder (4) are provided with rotating holes. The cylinder (4) is rotatably connected with the rotating bracket (7) through a connecting piece; The private key generator is used to protect the privacy of the user between the user and the doctor; the treatment end generates a temporary identification code tID for the user, anonymizes the user's identity, and the user is based on the temporary identification code tID. Generate a key pair (PK, SK) and (PK ₀ , SK ₀ ), while the user's physiological parameter information and medical diagnosis results are encrypted and communicated to protect the user's information security; let G ₁ and G ₂ represent two identical Multiplicative cyclic group of order P; let g ₁ be the generator of G ₁ , g ₂ be the generator of G ₂ , and G _T be an additive group satisfying |G ₁ |=|G ₂ |=|G _T |; let

G ₁ *G ₂ →G _T is a bilinear pair with the following properties: ① Linear pair: for all h∈G1, k∈G2, u, v∈Z _q ^* , e(h ^u ,k ^v )= e(h,k) ^uv ; ②Non-degenerate: e(g ₁ ,g ₂ )≠1 _T , 1 _T is the identity element of G _T ; ③ Computability: for all h∈G ₁ ,k∈G ₂ There exist efficient algorithms that can compute in polynomial time

Distribute key pairs and encryption key pairs for users, treatment terminals, and doctors through the private key generator; randomly generate a signature key pair (PK ₀ , SK ₀ )=(X, x) for each user, let SK ₀ = x∈ _R Z ^* _P , PK ₀ =X=g ^x ₂ ∈ G ₂ , the user encryption key pair (PK ₁ , SK ₁ ) is randomly generated by operating the EIGamal algorithm; the signature key pair (PK 1 , SK 1 ) is randomly generated for each treatment terminal ₀ , SK ₀ )=(X, x), let SK ₀ =x∈ _R Z ^* _P , PK ₀ =X=g ^x ₂ ∈ G ₂ , operate the EIGamal algorithm to randomly generate a therapeutic encryption key pair (PK ₂ , SK ₂ ); randomly generate a signature key pair (PK ₀ , SK ₀ )=(X, x) for each doctor, let SK ₀ =x∈ _R Z ^* _P , PK ₀ =X=g ^x ₂ ∈ G ₂ , Compute the EIGamal algorithm to randomly generate a doctor encryption key pair (PK ₃ , SK ₃ ). 2 . The big data-based telemedicine system according to claim 1 , wherein the collection module collects the physiological parameter information of the user in real time through the collection device, so as to accurately reflect the health degree of the user. 3 . 3. The big data-based telemedicine system according to claim 2, wherein the user management module comprises: The user terminal is used for user input and query operations; The positioning module is used to obtain the user's location information in real time; The emergency notification module is used to obtain the user's emergency contact information and notify the user's emergency contact. 4. the telemedicine system based on big data according to claim 3, is characterized in that: user enters personal information of oneself by user terminal, creates personal account, and user management module distinguishes between different user names and passwords created by user. user. 5. The telemedicine system based on big data according to claim 4, wherein the user management module matches the collected physiological parameter information of the user with the personal account created by the user, and collects the user's physiological parameter information in real time. During the process or after the collection is completed, the user management module verifies the user's identity. If the verification is successful, the user management module sends the user's physiological parameter information to the user's personal account; Alert users. 6. The big data-based telemedicine system according to claim 5, wherein the big data diagnosis module comprises: The big data analysis module is used to divide the physiological parameter interval according to the user's posture index; The judgment module is used to compare the physiological parameter information of the user with the divided physiological parameter intervals to judge the health degree of the user. 7. The telemedicine system based on big data according to claim 6, is characterized in that: by obtaining the personal information of the user in the cloud storage module, determining the physical index of the user according to the personal information of the user, and analyzing the result by the big data analysis module. The interval of each physiological parameter corresponding to the healthy state, sub-health state and disease state under the posture index is obtained; through the judgment module, the real-time collected user's physiological parameter information and the big data analysis module are analyzed to obtain the healthy state under the posture index. The physiological parameter intervals corresponding to the state, sub-health state, and disease state are compared to judge the health level of the user, evaluate the possible diseases according to different health levels, and generate a big data diagnosis report. 8. The telemedicine system based on big data according to claim 7, characterized in that: after judging, the big data diagnosis module can feed back the big data diagnosis report to the user, and the user can choose whether to Perform a doctor's diagnosis. If you choose to perform a doctor's diagnosis, the doctor and the user can interact with the user terminal through the treatment terminal. During the interaction, the doctor can obtain the user's personal information, historical physiological parameter information and historical big data diagnosis report in the cloud storage module. , to generate a medical diagnosis. 9. The telemedicine system based on big data according to claim 8, is characterized in that: the treatment end records the diagnosis process of the doctor, and after the medical service process to the user ends, the treatment end uploads the diagnosis process of the doctor to Cloud storage module, and save to the user's personal account.

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