CN110910981A - Personal health management system - Google Patents
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- CN110910981A CN110910981A CN201911348416.1A CN201911348416A CN110910981A CN 110910981 A CN110910981 A CN 110910981A CN 201911348416 A CN201911348416 A CN 201911348416A CN 110910981 A CN110910981 A CN 110910981A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/226—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
Abstract
The invention relates to the field of health management, in particular to a personal health management system, which comprises: the vibration acquisition module is used for acquiring the acceleration information of the user in real time; the voice acquisition module is used for acquiring the voice information of the user after the acceleration information exceeds a threshold value; the database is used for storing medical treatment common knowledge in advance; the processing module is used for extracting keywords in the sound information, generating disease information and matching medical processing common knowledge corresponding to the disease information from the database; and the output module is used for pushing the medical treatment common knowledge to the user. The problem that some sudden injury conditions cannot be monitored on the premise of protecting user privacy by an existing health management system is solved.
Description
Technical Field
The invention relates to the field of health management, in particular to a personal health management system.
Background
With the development of society and the popularization of health knowledge, people have higher and higher requirements on life quality, pay more and more attention to the health of individuals and families, do not meet the requirements of diseases, and pay more attention to disease prevention and health care. Although modern people are more conscious about health than ever before, most people are believed to be in an unknown state in terms of how to eat healthily, how to scientifically prevent diseases, and how to more effectively alleviate diseases when diseases occur.
In view of this situation, a personal health management system and method are disclosed in chinese patent publication No. CN106777948A, the method includes: inputting a personal physiological parameter; collecting physical examination data; storing health management schemes corresponding to different personal physiological parameters and physical examination data; matching the personal physiological parameters and the physical examination data with the health management scheme, and obtaining the health management scheme corresponding to the personal physiological parameters and the physical examination data according to the matching result; and outputting the health management scheme.
Through the combination of health management and information communication technology, a related health management scheme can be provided according to personal physiological parameters and physical examination data, people can conveniently improve the self health condition in a targeted manner, passive disease treatment is changed into active health management, and the personal health is effectively promoted for a long time. However, in the young and middle-aged adults with good health conditions, the physical examination is usually performed 1 to 2 times per year, and even in the elderly who are 60 years old, the interval between each physical examination is about 3 to 4 months. The health management system cannot monitor some emergency situations, and further cannot push an effective health management scheme.
Specifically, for some emergency situations, for example: the existing personal health management system depends on the manual input of disease information by a user, so that a targeted suggestion cannot be given to the situation, and the value of the health management system cannot be reflected. However, if the emergency situation is monitored by collecting the voice data of the user in real time, the privacy protection of the user is not facilitated, or many users are not willing to open such a right.
Disclosure of Invention
The invention aims to provide a personal health management system to solve the problem that some sudden injuries cannot be monitored by the existing health management system on the premise of protecting the privacy of users.
The basic scheme provided by the invention is as follows: a personal health management system comprising:
the vibration acquisition module is used for acquiring the acceleration information of the user in real time;
the voice acquisition module is used for acquiring the voice information of the user after the acceleration information exceeds a threshold value;
the database is used for storing medical treatment common knowledge in advance;
the processing module is used for extracting keywords in the sound information, generating disease information and matching medical processing common knowledge corresponding to the disease information from the database;
and the output module is used for pushing the medical treatment common knowledge to the user.
The working principle and the advantages of the invention are as follows:
compared with the existing personal health management system and method, the health management scheme can be matched only by providing physical examination data by the user. The scheme can guarantee that the collected information has timeliness, and the sudden injuries are monitored in real time, so that the pointed and valuable medical treatment general knowledge is pushed out to the user, the user is prompted how to treat diseases more professionally, and the user experience is improved. Specifically, after the vibration acquisition module acquires the vibration exceeding the threshold value of the user, the sound information of the user is acquired, the keyword is analyzed, and the targeted medical treatment common knowledge can be provided for the user after the user falls down or other emergencies.
Meanwhile, the vibration acquisition module and the voice acquisition module are matched for use, and when the acceleration information exceeds a threshold value, the voice information of the user is acquired. The voice acquisition module can be prevented from being always in a working state, the aim of protecting the privacy of a user is fulfilled, and the energy consumption of the system can be reduced; moreover, compared with the method and the device which adopt the voice acquisition real-time detection and extract the keywords in the traditional technology, the method and the device can also avoid invalid information in the sound information so as to improve the accuracy of data acquisition.
In conclusion, the scheme can be adopted to solve the problem that the conventional health management system cannot monitor some sudden injury conditions on the premise of protecting the privacy of the user.
Further, the processing module is also used for generating corresponding text information for the sound information according to a voice recognition algorithm; processing the character information according to a keyword extraction algorithm to generate keyword information; and if the keyword information contains pain and ache, sending prompt information to the user and collecting disease information of the user.
Has the advantages that: compared with the traditional personal health management system which needs the user to manually input personal physiological parameters, the scheme adopts the voice acquisition module to collect the voice information of the user, and if sudden diseases occur, the voice information contains the key word 'pain'. Based on the condition, the processing module sends a message to prompt the user, confirms and collects disease information, and can play a role in informing the user of using the personal health management system in time after the user has sudden diseases; the disease information is collected, and then the related medical treatment common knowledge is effectively and accurately pushed.
Further, the threshold value is abnormal vibration information in the acceleration information.
Has the advantages that: in the process of advancing, the vibration acquisition module can acquire a regular waveform, and if the human body falls down suddenly, the waveform can suddenly increase, namely abnormal vibration information is generated. After the abnormal vibration information is received, the voice acquisition module is opened, the vibration acquisition module and the voice acquisition module are mutually matched for use, the voice acquisition module of the personal health management system can be prevented from being always in a working state, and the privacy of a user is protected.
Further, the processing module is also used for opening the voice acquisition module for 10 seconds after the acceleration information exceeds the threshold value, and acquiring the voice information of the user; and if the keywords in the voice information do not contain pain, driving the voice acquisition module to enter a sleep mode.
Has the advantages that: in general, during long-term travel of a person, a waveform acquired by a vibration acquisition module is accompanied by a plurality of sharp points, which may be caused by sudden acceleration and jumping, and are not caused by falling. Therefore, by receiving the abnormal vibration information and determining the combination of the sound information keywords, data can be collected with reduced privacy and reduced power consumption.
Further, the processing module is also used for opening the voice acquisition module for 10 seconds to acquire the sound information after the acceleration information exceeds the threshold value; if the keywords in the sound information comprise 'pain' and 'pain', the voice acquisition module is continuously opened, the keywords in the sound information are continuously extracted, and the disease information of the user is determined from the keywords.
Has the advantages that: after the sudden disease exists in the user, the keywords in the sound information are continuously extracted, and the specific type of disease can be determined. For example, when the user mentions 'hand pain' in the voice information after falling down, and extracts the keyword 'hand', the category of the disease can be narrowed down to the hand, and then medical treatment knowledge about how to alleviate the hand injury is pushed to the user.
Furthermore, the acquisition module is also used for acquiring retrieval information of the user; the processing module is also used for receiving and processing the retrieval information and generating corresponding disease information according to the keywords in the retrieval information.
Has the advantages that: for the disease information which can not be determined by the voice acquisition module and the vibration acquisition module, the scheme can match corresponding medical treatment common knowledge by acquiring the retrieval information of the user if the keywords in the retrieval information comprise medical products for treating diseases, such as 'band aid', 'bandage', 'analgesic', and the like, for example: the guidelines for wound care, the side effects of taking analgesics for a long time, etc. The practicability of the personal health management system is improved.
Further: the vibration acquisition module adopts a three-axis acceleration sensor.
Has the advantages that: the three-axis acceleration sensor can detect acceleration signals under the condition that the movement direction is not known in advance, and meanwhile, the three-axis acceleration sensor has the advantages of small size, light weight and the like, can measure the space acceleration, and can comprehensively and accurately reflect the movement properties of a user.
Further: the processing module is further used for acquiring abnormal vibration information after the user confirms the disease information, training the abnormal vibration information according to the neural network, and generating a disease judgment standard corresponding to the user.
Has the advantages that: the amplitude of different intensities can appear in the acceleration waveform due to the influence of external factors on the user when the user travels; if the condition of falling includes toppling over forward and toppling over backward, acceleration waveform can demonstrate differently under these two kinds of conditions, and the injury that causes is also different to the health, because when falling forward, because the hand that people's hand subconsciously supported ground extension fall in-process important position such as head and the time of ground contact, according to impulse theorem, the momentum change of people's fall process can be considered equally, but when having the hand to cushion, ground will be much less to people's power, therefore the injury will be light. The head and the waist are easily injured when the patient falls backwards; based on the situation, the amplitude of various tumbling situations can be trained through the neural network, the disease condition is determined according to different amplitudes, and related medical treatment common knowledge can be pushed to the user in a targeted manner through the output module.
Further: the system also comprises a health archive subsystem, wherein the health archive subsystem is used for collecting and storing medical record information of the user.
Has the advantages that: medical record information of a user can be stored, and professional medical care personnel can conveniently look up the medical record information at any time by using the management system; the medical hospital can overcome the defect that the records of the medical hospital for treating the patients are only stored in the hospital in the traditional hospitalizing mode, and the patients need to be checked again if going to other hospitals, so that not only are precious medical resources wasted, but also the waiting time and unnecessary pain of the patients are increased; compare in traditional paper version case history record simultaneously, can avoid the influence that the paper is extravagant and the illegible writing of handwriting brings.
Further: the acquisition module further comprises a temperature sensor and an image sensor, wherein:
the temperature sensor is used for acquiring historical environment temperature information and current environment temperature information;
the image sensor is used for acquiring dressing image information of a user;
the acquisition module is also used for acquiring dressing guide information;
the processing module is also used for receiving and processing historical environment temperature information and current environment temperature information, if the difference value of the historical environment temperature information and the current environment temperature information is larger than a preset threshold value, the image sensor is started to collect dressing image information of the user, and if the dressing image information of the user does not accord with dressing guide information, warning information is generated.
Has the advantages that: by adopting the mode, the image sensor can be opened when the temperature difference changes greatly, and whether the dressing of a user is reasonable or not can be confirmed. Prompting the user to add clothes in time to prevent cold.
Drawings
Fig. 1 is a block diagram of a personal health management system according to a first embodiment of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example one
As shown in fig. 1, a personal health management system includes:
the vibration acquisition module is used for acquiring the acceleration information of the user in real time;
the voice acquisition module is used for acquiring the voice information of the user after the acceleration information exceeds a threshold value;
the database is used for storing medical treatment common knowledge in advance;
the processing module is used for extracting keywords in the sound information, generating disease information and matching medical processing common knowledge corresponding to the disease information from the database;
and the output module is used for pushing the medical treatment common knowledge to the user.
In the embodiment, the system is installed on the mobile phone in the form of APP software. The system comprises a voice acquisition module and a vibration acquisition module, wherein the voice acquisition module adopts a built-in microphone, and the vibration acquisition module also adopts a built-in three-axis acceleration sensor; before the use, the software pops up a prompt box to acquire the access rights of the microphone, the camera, the retrieval engine and the triaxial accelerator sensor.
At present, a miniaturized and intelligent acceleration sensor has been applied to the aspects of assisting exercise training, training intensity detection, exercise detection, vehicle load detection, gait analysis and the like. The method for collecting the user sign information comprises the following steps: firstly, detecting the motion state of a user in real time by a triaxial accelerator sensor; normally, in a walking exercise, the acceleration generated by the vertical and forward motion is approximately a sine curve with time; the abnormal amplitude and the sharp peak point in the curve represent the acceleration of the user caused by the influence of external factors;
then, after the processing module detects the abnormal vibration information, the voice acquisition module is driven to be opened for 10 seconds to acquire real-time sound information; meanwhile, voice information is converted into text information through voice recognition, and keywords in the text information are extracted through a keyword extraction algorithm. In the case of a fall, the voice information of a person after the fall usually includes keywords such as "heart", "pain", and "pain"; therefore, if the sound information contains the keywords, the voice acquisition module is continuously opened, the keywords in the sound information are continuously extracted, the disease information of the user is determined from the keywords, and the specific injured part can be judged according to the keywords such as 'hand', 'head', 'waist', 'foot', and the like.
Finally, prompting the user to open the APP and confirming that the detected disease information conforms to the actual condition; matching corresponding medical treatment common knowledge from a database of the system; for example, for a hand injury, the user is sent a "before the wound is treated by using a disinfectant, the wound should be squeezed first, and the remaining blood stasis in the wound or the foreign matters (sand, soil and the like) in the remaining wound are pressed" and a "disinfection process: the medical treatment knowledge that the wound is eliminated first and then the disinfection range is gradually expanded outwards by taking the wound as the center of a circle or the center is adopted;
in other embodiments, the system acquires the retrieval information of the user and matches corresponding medical treatment common knowledge according to keywords in the retrieval information; such as: if the user inputs the cold medicine in the search engine, the message that the patient's condition is not good, even high fever, general arthralgia, rash and the like appear, and the patient should seek medical treatment in time is pushed. The principle of the scheme is the same as that of pushing information by some websites according to the hundred-degree search content of the user, namely, the search records of the user are stored in a database of a local browser, and the disease information is determined by extracting keywords in the search records. The problem that the disease can not be captured by adopting the vibration sensor is solved, and the practicability of the system is further improved.
Meanwhile, the long-term and short-term memory network is adopted to process abnormal vibration information, and the system cannot directly judge the symptoms after acquiring abnormal amplitude and sharp peak points in the curve, and finally prompts a user to confirm whether the symptom information is consistent. Based on the condition, after the user confirms the disease, the characteristic curve conforming to the disease is extracted, and after a plurality of times of iterative training, the disease judgment standard corresponding to the user is generated. After the characteristic curve is collected next time, the system automatically judges the corresponding disease without confirming again by the user, so that the processing efficiency of the system is accelerated, and the user experience is improved.
Example two
Compared with the first embodiment, the medical treatment system is different only in that the medical treatment system further comprises a health file subsystem, and a user can input and store own case information in the health file subsystem, so that professional medical care personnel can conveniently use the management system to look up the case information at any time, and medical treatment common knowledge is pushed to the user according to the case information.
EXAMPLE III
Compared with the first embodiment, the mobile phone is only different in that the mobile phone further comprises a temperature sensor and an image sensor, wherein the temperature sensor adopts an XMTH-W/G wireless temperature sensor, and the image sensor adopts a built-in camera of the mobile phone; the temperature sensor can upload temperature data to a cloud center, a management system calls historical temperature information and current temperature information from the cloud center, the time interval between the historical temperature information and the current temperature information in the embodiment is one day, the collected historical temperature information is smaller than the current temperature information, and the difference between the collected historical temperature information and the current temperature information is 6 ℃, and then the image sensor is driven to collect dressing images of a user; meanwhile, the system acquires dressing guide information of a third-party weather information website, and if the dressing image information of the user does not accord with the dressing guide information, warning information is generated to prompt the user to add clothes and prevent cold.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A personal health management system, comprising:
the vibration acquisition module is used for acquiring the acceleration information of the user in real time;
the voice acquisition module is used for acquiring the voice information of the user after the acceleration information exceeds a threshold value;
the database is used for storing medical treatment common knowledge in advance;
the processing module is used for extracting keywords in the sound information, generating disease information and matching medical processing common knowledge corresponding to the disease information from the database;
and the output module is used for pushing the medical treatment common knowledge to the user.
2. The personal health management system of claim 1, wherein: the processing module is also used for generating corresponding text information for the sound information according to a voice recognition algorithm; processing the character information according to a keyword extraction algorithm to generate keyword information; and if the keyword information contains pain and ache, sending prompt information to the user and collecting disease information of the user.
3. The personal health management system of claim 1, wherein: the threshold is abnormal vibration information in the acceleration information.
4. The personal health management system of claim 3, wherein: the processing module is also used for opening the voice acquisition module for 10 seconds after the acceleration information exceeds the threshold value, and acquiring the voice information of the user; and if the keywords in the voice information do not contain pain, driving the voice acquisition module to enter a sleep mode.
5. The personal health management system of claim 4, wherein: the processing module is also used for opening the voice acquisition module for 10 seconds to acquire the sound information after the acceleration information exceeds the threshold value; if the keywords in the sound information comprise 'pain' and 'pain', the voice acquisition module is continuously opened, the keywords in the sound information are continuously extracted, and the disease information of the user is determined from the keywords.
6. The personal health management system of claim 1, wherein: the acquisition module is also used for acquiring retrieval information of the user; the processing module is also used for receiving and processing the retrieval information and generating corresponding disease information according to the keywords in the retrieval information.
7. The personal health management system of claim 1, wherein: the vibration acquisition module adopts a three-axis acceleration sensor.
8. The personal health management system of claim 3, wherein: the processing module is further used for acquiring abnormal vibration information after the user confirms the disease information, training the abnormal vibration information according to the neural network, and generating a disease judgment standard corresponding to the user.
9. The personal health management system of claim 1, wherein: the system also comprises a health archive subsystem, wherein the health archive subsystem is used for collecting and storing medical record information of the user.
10. The personal health management system of claim 1, wherein: the acquisition module further comprises a temperature sensor and an image sensor, wherein:
the temperature sensor is used for acquiring historical environment temperature information and current environment temperature information;
the image sensor is used for acquiring dressing image information of a user;
the acquisition module is also used for acquiring dressing guide information;
the processing module is also used for receiving and processing historical environment temperature information and current environment temperature information, if the difference value of the historical environment temperature information and the current environment temperature information is larger than a preset threshold value, the image sensor is started to collect dressing image information of the user, and if the dressing image information of the user does not accord with dressing guide information, warning information is generated.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105590287A (en) * | 2016-01-07 | 2016-05-18 | 刘冬明 | Household medical service system |
| CN106991790A (en) * | 2017-05-27 | 2017-07-28 | 重庆大学 | Old man based on multimode signature analysis falls down method of real-time and system |
| CN107341360A (en) * | 2017-08-17 | 2017-11-10 | 马婉婷 | A kind of health services system and its method based on Intelligent bracelet |
| CN107908094A (en) * | 2017-12-29 | 2018-04-13 | 郑州光之源电子科技有限公司 | Child intelligence wrist-watch and based on sensing technology analysis children method in danger |
| CN109256181A (en) * | 2017-07-11 | 2019-01-22 | 北京医联蓝卡在线科技有限公司 | A kind of health file management system and method |
| CN109407504A (en) * | 2018-11-30 | 2019-03-01 | 华南理工大学 | A kind of personal safety detection system and method based on smartwatch |
| CN110148464A (en) * | 2019-05-21 | 2019-08-20 | 中国医学科学院北京协和医院 | A kind of house the elderly intelligent health management system |
| CN110493474A (en) * | 2019-09-20 | 2019-11-22 | 北京搜狗科技发展有限公司 | A kind of data processing method, device and electronic equipment |
-
2019
- 2019-12-24 CN CN201911348416.1A patent/CN110910981A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105590287A (en) * | 2016-01-07 | 2016-05-18 | 刘冬明 | Household medical service system |
| CN106991790A (en) * | 2017-05-27 | 2017-07-28 | 重庆大学 | Old man based on multimode signature analysis falls down method of real-time and system |
| CN109256181A (en) * | 2017-07-11 | 2019-01-22 | 北京医联蓝卡在线科技有限公司 | A kind of health file management system and method |
| CN107341360A (en) * | 2017-08-17 | 2017-11-10 | 马婉婷 | A kind of health services system and its method based on Intelligent bracelet |
| CN107908094A (en) * | 2017-12-29 | 2018-04-13 | 郑州光之源电子科技有限公司 | Child intelligence wrist-watch and based on sensing technology analysis children method in danger |
| CN109407504A (en) * | 2018-11-30 | 2019-03-01 | 华南理工大学 | A kind of personal safety detection system and method based on smartwatch |
| CN110148464A (en) * | 2019-05-21 | 2019-08-20 | 中国医学科学院北京协和医院 | A kind of house the elderly intelligent health management system |
| CN110493474A (en) * | 2019-09-20 | 2019-11-22 | 北京搜狗科技发展有限公司 | A kind of data processing method, device and electronic equipment |
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Application publication date: 20200324 |