CN118136258A - Intelligent chest pain assessment system based on big data - Google Patents
Intelligent chest pain assessment system based on big data Download PDFInfo
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- CN118136258A CN118136258A CN202410392413.2A CN202410392413A CN118136258A CN 118136258 A CN118136258 A CN 118136258A CN 202410392413 A CN202410392413 A CN 202410392413A CN 118136258 A CN118136258 A CN 118136258A
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- chest pain
- big data
- assessment system
- pain assessment
- intelligent chest
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- 206010008479 Chest Pain Diseases 0.000 title claims abstract description 42
- 238000004891 communication Methods 0.000 claims abstract description 11
- 230000036772 blood pressure Effects 0.000 claims description 8
- 230000003068 static effect Effects 0.000 claims description 7
- 238000003745 diagnosis Methods 0.000 claims description 6
- 201000005569 Gout Diseases 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 5
- 230000036760 body temperature Effects 0.000 claims description 4
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 4
- 238000004088 simulation Methods 0.000 claims description 3
- 208000024891 symptom Diseases 0.000 claims description 3
- 238000012502 risk assessment Methods 0.000 abstract description 3
- 201000010099 disease Diseases 0.000 description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000035487 diastolic blood pressure Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000035488 systolic blood pressure Effects 0.000 description 2
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000001953 Hypotension Diseases 0.000 description 1
- 208000001871 Tachycardia Diseases 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 238000009532 heart rate measurement Methods 0.000 description 1
- 230000036543 hypotension Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007721 medicinal effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000474 nursing effect Effects 0.000 description 1
- 238000001615 p wave Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000035485 pulse pressure Effects 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000006794 tachycardia Effects 0.000 description 1
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- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a big data-based intelligent chest pain assessment system, which relates to the technical field of chest pain assessment, and comprises a big data-based intelligent chest pain assessment system platform, wherein the big data-based intelligent chest pain assessment system platform comprises a terminal bracelet, an inference engine module, a communication module and a knowledge base module, the terminal bracelet is in wireless signal connection with the big data-based intelligent chest pain assessment system platform, and the inference engine module, the communication module and the knowledge base module are in signal connection with the big data-based intelligent chest pain assessment system platform, so that doctors, patients and families of the patients can timely know the illness state of the patients, the accurate illness state identification capability of the patients is improved, correct self-rescue decision is conveniently made at the initial illness state, the illness state is ignored or unnecessary extension of pre-hospital emergency time is reduced, the accurate illness state assessment is assisted by an effective risk assessment system, and proper countermeasures are conveniently taken at the first time.
Description
Technical Field
The invention relates to the technical field of chest pain assessment, in particular to an intelligent chest pain assessment system based on big data.
Background
The pre-hospital emergency time is a major key factor in the treatment process of chest pain patients, and the length of the pre-hospital emergency time is directly related to the life safety and the treatment effect of the patients. Because patients lack accurate disease recognition capability, correct self-rescue decisions cannot be made at the initial stage of disease, or the disease is even ignored, so that the pre-hospital emergency time is prolonged unnecessarily. Meanwhile, an effective risk assessment system is lacking at present to assist patients and families in accurately assessing the disease conditions at the initial stage of the disease, the patients and families have difficulty in fully knowing the severity of the disease conditions, and proper countermeasures are difficult to take at the first time, so that the delay of pre-hospital emergency time is further increased, and the treatment difficulty is correspondingly increased.
Disclosure of Invention
The invention aims to at least solve one of the technical problems in the prior art, and provides an intelligent chest pain assessment system based on big data, which can solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent chest pain assessment system based on big data comprises an intelligent chest pain assessment system platform of the big data, wherein the intelligent chest pain assessment system platform of the big data comprises a terminal bracelet, an inference engine module, a communication module and a knowledge base module, the terminal bracelet is connected with the intelligent chest pain assessment system platform of the big data through wireless signals, and the inference engine module, the communication module and the knowledge base module are all connected with the intelligent chest pain assessment system platform of the big data through signals.
Preferably, the knowledge base module is used for storing medical knowledge of various chest pain main symptoms.
Preferably, the intelligent chest pain assessment system platform with big data is provided with an in-hospital and out-of-hospital data acquisition and integration system.
Preferably, the in-hospital and out-of-hospital data acquisition and integration system comprises an electronic health record, an electronic medical record and an electronic physical examination record, and a medical health database.
Preferably, the terminal bracelet is provided with: body temperature, pulse, respiration, blood pressure, heart rate and dynamic and static electrocardiogram and the like.
Preferably, the inference engine module comprises a simulation diagnosis module, integrates vital signs, dynamic and static electrocardiograms of a user monitored and transmitted by a terminal bracelet in real time, and generates assessment and treatment advice of chest and gout risk level of the user within a few seconds with whole-course medical health data stored in the system by a patient.
Preferably, the communication module feeds back the reasoning result to the doctor, the patient and their family members.
Compared with the prior art, the invention has the beneficial effects that:
(1) The intelligent chest pain assessment system based on big data enables doctors, patients and families thereof to timely know the illness state of the patients in time, improves the self lack of accurate illness state identification capability of the patients, facilitates correct self-rescue decision making at the initial period of illness state, reduces unnecessary prolongation of illness state neglecting or pre-hospital emergency time, and the effective risk assessment system assists the patients and families to accurately assess the illness state at the initial period of illness state, so that appropriate countermeasures can be taken at the first time conveniently.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
Fig. 1 is a schematic diagram of an intelligent chest pain assessment system based on big data.
Detailed Description
Reference will now be made in detail to the present embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the accompanying drawings are used to supplement the description of the written description so that one can intuitively and intuitively understand each technical feature and overall technical scheme of the present invention, but not to limit the scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the intelligent chest pain assessment system based on the big data comprises an intelligent chest pain assessment system platform of the big data, wherein the intelligent chest pain assessment system platform of the big data comprises a terminal bracelet, an inference engine module, a communication module and a knowledge base module, the terminal bracelet is in wireless signal connection with the intelligent chest pain assessment system platform of the big data, and the inference engine module, the communication module and the knowledge base module are in signal connection with the intelligent chest pain assessment system platform of the big data;
the knowledge base module is used for storing medical knowledge of various chest pain main symptoms;
The intelligent chest pain assessment system platform with big data is provided with an in-hospital and out-hospital data acquisition and integration system;
the system for acquiring and integrating the data inside and outside the hospital comprises an electronic health file, an electronic medical file, an electronic physical examination file and a medical health database;
and the in-hospital and out-hospital data acquisition and integration system takes the identity of a patient as an index, gathers distributed medical health information from each medical institution node in real time, realizes interconnection sharing of an Electronic Health Record (EHR), an Electronic Medical Record (EMR) and an electronic physical examination record, and forms a whole-course medical health data set of chest pain high-risk groups.
The personal health information in the electronic health record includes basic information, summaries of major diseases and health problems, major health service records, and the like. The health record information mainly originates from medical health service records, health examination records and disease investigation records, and is digitally stored and managed.
The electronic medical record is formed by medical staff in medical activities such as inquiry, examination, diagnosis, treatment, nursing and the like of a patient, generally comprises an outpatient record, a diagnosis and treatment plan, a consultation record and various examination records, and is then arranged into a document and input into the electronic medical record.
And the electronic physical examination file is formed according to the physical examination report of the patient.
Terminal bracelet is equipped with: the body temperature, pulse, respiration, blood pressure, heart rate, dynamic and static electrocardiogram and other modules are used for monitoring vital signs;
body temperature determination criteria: the normal range is 36.1-37 ℃, and the low heat: 37.4-38 ℃; moderate heat: 38.1-39℃: high heat: 39.1-41 ℃; superhigh heat: 41 ℃ or above.
Pulse determination criteria: the pulse rate is generally about 72 times per minute, and 60-100 times are all in the normal range.
Respiratory decision criteria: the breathing is optimally for 6.4 seconds at a time, and the amount of gas inhaled and exhaled each time is about 500 ml.
Blood pressure determination criteria: normal range systolic pressure 90-139 mmHg, diastolic pressure 60-89 mmHg, pulse pressure 30-40 mmHg, abnormal blood pressure: hypertension: the systolic pressure of an adult over 18 years old is more than or equal to 140mmHg and/or the diastolic pressure is more than or equal to 90mmHg: hypotension: the blood pressure is lower than 90/60mmHg, and the blood pressure is abnormal when the blood pressure exceeds a specified value.
Heart rate decision criteria: the normal range of heart rate measurement is 60-100 times/min, and the heart rate is higher than 100 times/min, and then the heart rate is tachycardia, and when the heart rate is detected to be higher than a specific value of 100 times/min, the heart rate abnormality is judged, and when the heart rate is detected to be a range value of 60-100 times/min, the heart rate is judged to be normal.
Electrocardiogram decision criteria: p wave (amplitude is less than or equal to 0.25mv, width is less than or equal to 0.11 s), P-R interval (120-200 ms), QRS width (60-100 ms), ST segment (0.05-0.3 mv), Q-T interval (340-430 ms), U wave (amplitude is very small).
The inference engine module comprises a simulation diagnosis module, integrates vital signs, dynamic and static electrocardiograms of a user monitored and transmitted by a terminal bracelet in real time, and generates assessment and treatment advice of chest and gout risk level of the user in a few seconds with whole-course medical health data stored in the system by a patient.
The inference engine module integrates vital signs, dynamic and static electrocardiograms of a user, which are monitored and transmitted by a terminal bracelet in real time, and whole-course medical health data stored in a system by a patient, and generates user chest gout risk level assessment and treatment advice in a few seconds by utilizing an intelligent chest gout risk layering assessment algorithm based on a lead convolution neural network according to the principle of simulating a diagnosis thinking process and paying attention to an implicit knowledge effect.
The communication module feeds back the reasoning result to doctors, patients and family members thereof.
The doctor, the patient and the family members of the doctor and the patient can timely know the illness state of the patient, the accurate illness state identification capability of the patient is improved, the correct self-rescue decision is conveniently made at the initial illness state, the unnecessary extension of the illness state neglected or the pre-hospital emergency time is reduced, the accurate evaluation of the illness state of the patient and the family members at the initial illness state is assisted by the effective risk evaluation system, and the proper countermeasures are conveniently taken at the first time.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present invention.
Claims (7)
1. Intelligent chest pain assessment system based on big data, including big data's intelligent chest pain assessment system platform, its characterized in that: the intelligent chest pain assessment system platform of big data comprises a terminal bracelet, an inference engine module, a communication module and a knowledge base module, wherein the terminal bracelet is connected with the intelligent chest pain assessment system platform of big data through wireless signals, and the inference engine module, the communication module and the knowledge base module are connected with the intelligent chest pain assessment system platform of big data through signals.
2. The intelligent chest pain assessment system based on big data of claim 1, wherein: the knowledge base module is used for storing medical knowledge of various chest pain main symptoms.
3. The intelligent chest pain assessment system based on big data of claim 2, wherein: the intelligent chest pain assessment system platform with big data is provided with an in-hospital and out-of-hospital data acquisition and integration system.
4. A big data based intelligent chest pain assessment system according to claim 3, wherein: the system for acquiring and integrating the data inside and outside the hospital comprises an electronic health file, an electronic medical file, an electronic physical examination file and a medical health database.
5. The intelligent chest pain assessment system based on big data of claim 4, wherein: the terminal bracelet is provided with: body temperature, pulse, respiration, blood pressure, heart rate and dynamic and static electrocardiogram and the like.
6. The intelligent chest pain assessment system based on big data of claim 5, wherein: the inference engine module comprises a simulation diagnosis module, integrates vital signs, dynamic and static electrocardiograms of a user monitored and transmitted by a terminal bracelet in real time, and generates assessment and treatment advice of chest and gout risk level of the user within a few seconds with whole-course medical health data stored in the system by a patient.
7. The intelligent chest pain assessment system based on big data of claim 6, wherein: the communication module feeds back the reasoning result to doctors, patients and family members thereof.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410392413.2A CN118136258A (en) | 2024-04-01 | 2024-04-01 | Intelligent chest pain assessment system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410392413.2A CN118136258A (en) | 2024-04-01 | 2024-04-01 | Intelligent chest pain assessment system based on big data |
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| Publication Number | Publication Date |
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| CN118136258A true CN118136258A (en) | 2024-06-04 |
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| CN202410392413.2A Pending CN118136258A (en) | 2024-04-01 | 2024-04-01 | Intelligent chest pain assessment system based on big data |
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| Country | Link |
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| CN (1) | CN118136258A (en) |
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- 2024-04-01 CN CN202410392413.2A patent/CN118136258A/en active Pending
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