CN113257379A - Medical intelligent wrist strap control system, method, terminal, medium and computer - Google Patents
Medical intelligent wrist strap control system, method, terminal, medium and computer Download PDFInfo
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Abstract
The invention belongs to the technical field of intelligent wristbands, and discloses a medical intelligent wristband control system, a method, a terminal, a medium and a computer, which comprise: the system comprises a data acquisition module, a data processing module, a communication and collection module, a knowledge map construction module, an auxiliary diagnosis and treatment decision module, a clinical management module, a doctor-patient interaction module and a visualization module. The medical intelligent wrist strap system based on the medical intelligent wrist strap system can acquire diagnosis and treatment value data of the patients with chronic diseases of the cardiovascular and cerebrovascular systems, such as body temperature, pulse, blood pressure, bowel sounds, electrocardiogram examination, real-time electrocardiogram and lung function, electroencephalogram, myoelectricity, gait, limb posture, motion data and the like, and realize the communication and the collection of the multi-mode data sensor and the wrist strap and the clinical management of the patients with chronic diseases of the cardiovascular and cerebrovascular systems. Meanwhile, the invention can effectively reduce the recurrence rate of chronic diseases of the cardiovascular and cerebrovascular system, provide clinical diagnosis efficiency, improve the utilization efficiency of national public medical resources, reduce the medical burden of patients and improve the life quality of patients.
Description
Technical Field
The invention belongs to the technical field of intelligent wristbands, and particularly relates to a medical intelligent wristband control system, method, terminal, medium and computer.
Background
At present, chronic cardiovascular and cerebrovascular diseases such as hypertension, diabetes, cerebral infarction, cerebral apoplexy and the like have high morbidity, more sick people and high mortality in middle-aged and elderly people in China, especially in elderly people over 65 years old. The misdiagnosis rate and missed diagnosis rate of clinical diagnosis and treatment of the diseases are high, and the clinical diagnosis efficiency is not high. The diseases are characterized by repeated attack, repeated hospitalization, long-term administration, long-term management and the like. In conclusion, the chronic diseases of the cardiovascular system not only greatly consume medical resources in China, but also bring heavy medical burden to patients and reduce the life quality of the patients.
The main reason why patients with chronic diseases of the cardiovascular and cerebrovascular system have repeated attacks and repeated hospitalizations is that patients mostly adopt an autonomous management mode after being discharged, and the effective management of the chronic diseases cannot be realized due to the lack of the help of professional clinical medical technology. The main reasons of high misdiagnosis rate and missed diagnosis rate of the diseases clinically and low clinical diagnosis efficiency are that the collection and tracking of disease development change data of patients cannot be realized after the patients are discharged, and the diseases are frequently relapsed after clinical intervention.
The existing intelligent wrist strap can collect part of vital sign data through a sensor in the wrist strap and realize the return and recording of the collected data based on the gprs/4G in the wrist strap. However, the existing intelligent wrist strap can only collect body temperature, pulse and blood pressure data, has single data and basically has no clinical application value such as disease management, diagnosis and treatment and the like. Therefore, a new medical smart wristband control system is needed.
Through the above analysis, the problems and defects of the prior art are as follows: the existing intelligent wrist strap can only collect body temperature, pulse and blood pressure data, has single data and basically has no clinical application values of disease management, diagnosis and treatment and the like.
The difficulty in solving the above problems and defects is:
1) different diseases or different development stages of the same disease and differences of basic diseases, constitutions, health conditions and the like of patients need to acquire different data in chronic disease management;
2) according to the management needs of chronic diseases, some data can be continuously collected, and some data are collected under certain conditions according to the development conditions of diseases;
3) in the face of a large number of patients with chronic diseases of the cardiovascular and cerebrovascular system, particularly patients outside the hospital, the type, the time and the like of the acquired data are accurately determined according to the requirements of disease management and diagnosis and treatment, and the problem in data acquisition is solved;
4) data with clinical diagnosis and treatment values are collected based on the intelligent sensor, and data are gathered and transmitted by taking the intelligent wrist strap as a communication hub.
The significance of solving the problems and the defects is as follows: the medical intelligent wristband system can realize the integrated management of the chronic disease patients of the cardiovascular and cerebrovascular systems in and out of hospitals, and comprises medication reminding, medical advice compliance, disease monitoring, auxiliary diagnosis and treatment, treatment scheme evaluation, disease prevention, diagnosis and treatment intervention and the like. By continuously collecting and analyzing the data of the chronic disease development change condition of the cardiovascular system of the patient outside the hospital for a long time, the rehabilitation condition of the patient, the effectiveness of a treatment scheme, the disease prevention and the like can be evaluated. Can effectively reduce the recurrence rate of chronic diseases of the cardiovascular and cerebrovascular system, improve the clinical diagnosis efficiency, improve the utilization efficiency of national public medical resources, reduce the medical burden of patients and improve the life quality of patients.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a medical intelligent wrist strap control system, a method, a terminal, a medium and a computer.
The invention is realized in this way, a medical intelligent wrist strap control system, which comprises:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
the data processing module is used for realizing convergence, fusion and modeling of the somatosensory complex heterogeneous high-dimensional dynamic data;
the communication and integration module is used for realizing communication and integration of the multi-mode data sensor and the wrist strap;
the knowledge graph construction module is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the rapid and intelligent construction of the large-scale causal medical knowledge graph;
the auxiliary diagnosis and treatment decision module is used for realizing an auxiliary diagnosis and treatment decision based on artificial intelligence;
the clinical management module is used for realizing the clinical management of the patient with the cardiovascular and cerebrovascular system chronic diseases;
the doctor-patient interaction module is used for realizing the integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system in the hospital and outside the hospital;
and the visualization module is used for realizing multi-mode holographic visual presentation of the patient information.
Another object of the present invention is to provide a medical smart wristband control method using the medical smart wristband control system, including the steps of:
the method comprises the following steps that firstly, the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
step two, realizing the convergence, fusion and modeling of the somatosensory complex heterogeneous high-dimensional dynamic data through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
thirdly, the knowledge map construction module is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the large-scale causal medical knowledge map rapid intelligent construction;
step four, realizing an auxiliary diagnosis and treatment decision based on artificial intelligence through an auxiliary diagnosis and treatment decision module; the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module;
step five, realizing the integrated management of the patients with the chronic diseases of the cardiovascular and cerebrovascular system in and out of the hospital through a doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
Further, in step one, the data with diagnosis and treatment value includes: the body temperature, pulse, heart rate, blood pressure, blood oxygen, bowel sounds, electrocardio examination, dynamic electrocardio, dynamic blood pressure, real-time electrocardio, lung function, electroencephalogram, myoelectricity, gait, limb posture and motion data of patients with cardiovascular and cerebrovascular chronic diseases.
Further, in the second step, the somatosensory complex heterogeneous high-dimensional dynamic data includes: visual, audio and tactile data.
Further, in step five, the integrated management includes: medication reminding, doctor's advice compliance, disease monitoring, auxiliary diagnosis, treatment plan evaluation, disease prevention, and diagnosis intervention.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying said medical smart wristband control system when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the medical smart wristband control system.
The invention also aims to provide an information data processing terminal which is used for realizing the medical intelligent wrist strap control system.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems; the aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data are realized through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
the knowledge representation, extraction, fusion, reasoning and quality evaluation based on the large-scale causal medical knowledge graph quick intelligent construction are realized through a knowledge graph construction module; an auxiliary diagnosis and treatment decision based on artificial intelligence is realized through an auxiliary diagnosis and treatment decision module;
the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module; the hospital internal and external integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through the doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems; the aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data are realized through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
the knowledge representation, extraction, fusion, reasoning and quality evaluation based on the large-scale causal medical knowledge graph quick intelligent construction are realized through a knowledge graph construction module; an auxiliary diagnosis and treatment decision based on artificial intelligence is realized through an auxiliary diagnosis and treatment decision module;
the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module; the hospital internal and external integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through the doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
By combining all the technical schemes, the invention has the advantages and positive effects that: the medical intelligent wrist strap control system provided by the invention adopts the technologies of acquisition, aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data such as visual, auditory and tactile senses, the technology of multi-mode holographic visual presentation of patient information, and the technology of expression, extraction, fusion, inference and quality evaluation of knowledge constructed on the basis of large-scale causal medical knowledge graph, the system can realize the acquisition of diagnosis and treatment value data of patients with chronic diseases of cardiovascular and cerebrovascular systems, such as body temperature, pulse, heart rate, blood pressure, bowel sounds, electrocardio examination, dynamic electrocardio, dynamic blood pressure, real-time electrocardio, lung function, electroencephalogram, myoelectricity, gait, limb posture, motion data and the like based on a medical intelligent wrist strap system, realize the communication and the collection of a multi-mode data sensor and the wrist strap, and realize the clinical management of the patients with chronic diseases of cardiovascular and cerebrovascular systems.
The main reason why patients with chronic diseases of the cardiovascular and cerebrovascular system have repeated attacks and repeated hospitalizations is that patients mostly adopt an autonomous management mode after being discharged, and the effective management of the chronic diseases cannot be realized due to the lack of the help of professional clinical medical technology. The main reasons of high misdiagnosis rate and missed diagnosis rate of the diseases clinically and low clinical diagnosis efficiency are that the collection and tracking of disease development change data of patients cannot be realized after the patients are discharged, and the diseases are frequently relapsed after clinical intervention.
The medical intelligent wristband system can realize the integrated management of the chronic disease of the cardiovascular and cerebrovascular system in and out of a hospital, including medication reminding, medical advice compliance, disease monitoring, auxiliary diagnosis and treatment, treatment scheme evaluation, disease prevention, diagnosis and treatment intervention and the like, can effectively reduce the recurrence rate of the chronic disease of the cardiovascular and cerebrovascular system, provides clinical diagnosis efficiency, improves the utilization efficiency of national public medical resources, reduces the medical burden of patients and improves the life quality of the patients.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram of a medical intelligent wristband control system according to an embodiment of the present invention;
in the figure: 1. a data acquisition module; 2. a data processing module; 3. a communication and aggregation module; 4. a knowledge graph construction module; 5. an auxiliary diagnosis and treatment decision module; 6. a clinical management module; 7. a doctor-patient interaction module; 8. and a visualization module.
Fig. 2 is a flowchart of a control method of a medical intelligent wristband according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of intelligent interaction for realizing a diagnosis and treatment process by combining identification and understanding model building of signals and clinical services provided by the embodiment of the present invention.
Fig. 4 is a schematic diagram of data fusion provided in the embodiment of the present invention.
Fig. 5 is a schematic diagram of an assistant diagnosis/intelligent doctor assistant system according to an embodiment of the present invention.
Fig. 6 is a system topology diagram provided by an embodiment of the present invention.
Fig. 7 is a flowchart of system control provided by the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a system, a method, a terminal, a medium, and a computer for controlling a medical intelligent wristband, which will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, a medical intelligent wristband control system provided in an embodiment of the present invention includes:
the data acquisition module 1 is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
the data processing module 2 is used for realizing convergence, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data;
the communication and integration module 3 is used for realizing communication and integration of the multi-mode data sensor and the wrist strap;
the knowledge map construction module 4 is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the rapid and intelligent construction of the large-scale causal medical knowledge map;
the auxiliary diagnosis and treatment decision module 5 is used for realizing auxiliary diagnosis and treatment decisions based on artificial intelligence;
the clinical management module 6 is used for realizing clinical management of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
the doctor-patient interaction module 7 is used for realizing the integrated management of the patients with the chronic diseases of the cardiovascular system in the hospital and outside the hospital;
and the visualization module 8 is used for realizing multi-mode holographic visual presentation of the patient information.
As shown in fig. 2, the method for controlling a medical intelligent wristband according to an embodiment of the present invention includes the following steps:
s101, acquiring diagnosis and treatment value data of a patient with chronic diseases of the cardiovascular and cerebrovascular system through a data acquisition module;
s102, aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data are achieved through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
s103, the knowledge map construction module is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the large-scale causal medical knowledge map rapid intelligent construction;
s104, realizing an auxiliary diagnosis and treatment decision based on artificial intelligence through an auxiliary diagnosis and treatment decision module; the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module;
s105, realizing the integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system in the hospital and outside the hospital through the doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
The technical solution of the present invention will be further described with reference to the following examples.
The main reason why patients with chronic diseases of the cardiovascular and cerebrovascular system have repeated attacks and repeated hospitalizations is that patients mostly adopt an autonomous management mode after being discharged, and the effective management of the chronic diseases cannot be realized due to the lack of the help of professional clinical medical technology. The main reasons of high misdiagnosis rate and missed diagnosis rate of the diseases clinically and low clinical diagnosis efficiency are that the collection and tracking of disease development change data of patients cannot be realized after the patients are discharged, and the diseases are frequently relapsed after clinical intervention.
The system comprises the technologies of acquisition, aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data such as visual, auditory and tactile senses, the technology of multi-mode holographic visual presentation of patient information, the technology of expression, extraction, fusion, reasoning and quality evaluation of knowledge constructed on the basis of large-scale causal medical knowledge maps, and an auxiliary diagnosis and treatment decision system based on artificial intelligence.
The medical intelligent wrist strap system based on the medical intelligent wrist strap system can acquire diagnosis and treatment value data of the patients with chronic diseases of the cardiovascular and cerebrovascular systems, such as body temperature, pulse, heart rate, blood pressure, bowel sounds, electrocardiogram examination, dynamic electrocardiogram, dynamic blood pressure, real-time electrocardiogram, lung functions, electroencephalogram, myoelectricity, gait, limb postures, motion data and the like, and realize the communication and the integration of a multi-mode data sensor and the wrist strap and the clinical management of the patients with chronic diseases of the cardiovascular and cerebrovascular systems.
The medical intelligent wristband system can realize the integrated management of chronic disease patients of the cardiovascular and cerebrovascular systems in and out of hospitals, and comprises medication reminding, medical advice compliance, disease monitoring, auxiliary diagnosis and treatment, treatment scheme evaluation, disease prevention, diagnosis and treatment intervention and the like. Can effectively reduce the recurrence rate of chronic diseases of the cardiovascular and cerebrovascular system, provide clinical diagnosis efficiency, improve the utilization efficiency of national public medical resources, reduce the medical burden of patients and improve the life quality of patients.
As shown in fig. 3, recognition and understanding model building based on these signals is combined with clinical business to realize intelligent interaction of the diagnosis and treatment process.
As shown in fig. 4, data fusion is an important means of multi-modal data analysis and mining, and for supporting intelligent application services oriented to multi-modal content, data fusion algorithm research oriented to low-quality modal analysis fusion, incremental modal cluster fusion, heterogeneous modal migration fusion and low-dimensional modal sharing fusion is developed, so that multi-modal clinical data complementation, redundant elimination and result conflict unification of modal low-quality, processing real-time property, modal imbalance and attribute high-dimensional characteristics are realized.
In order to realize interconnection and intercommunication of heterogeneous data, the problem of synonymy relation terms under the same limiting condition is solved, and a universal and standard data model is established by combining clinical requirements.
As shown in fig. 5, based on the assistant diagnosis/intelligent doctor assistant system, the whole procedure diagnosis and treatment before, during, and after the diagnosis is covered from the aspects of intelligent hierarchical diagnosis guidance, assistant diagnosis and treatment, and intelligent medical record application, etc., so as to implement a common mechanism of manual intervention and real-time monitoring.
As shown in fig. 6, in the topological diagram of the system, the intelligent sensor is connected with the medical intelligent wrist strap, the medical intelligent wrist strap is connected with the cloud server or the local server through DRGS, 4G or 5G, and the cloud server or the local server is connected with the medical workstation, the doctor mobile phone end, the patient mobile phone end and the guardian mobile phone end.
As shown in fig. 7, the system control flow chart shows that the smart sensor is connected to the medical wristband, the medical wristband is connected to the internet through the DRGS or 4G, and then connected to the server, the patient mobile phone, the doctor mobile phone, and the doctor workstation through the internet, and the server performs data processing for medical purposes, assisting diagnosis and treatment analysis, manual intervention, and data storage.
The technical effects of the present invention will be described in detail with reference to experimental data.
Table 1 experimental data:
| patient numbering | Property of (2) Clip for fixing | Year of year Age (age) | Date of discharge | Discharge diagnosis | Body temperature | Pulse rate | Heart rate | Breathing | Blood oxygen | Blood pressure | Gait analysis | Dynamic electrocardiogram |
| 0001155855 | For male | 71 | 2020/12/15 | Grade 3 hypertension | 36.7 ℃ | 78 times- Is divided into | 78 times/min | 18 times/min | 0.95 | 144/82mmHg | There was no abnormality | There was no abnormality |
| 0001153698 | Woman | 28 | 2020/12/8 | Grade 3 hypertension | 36.4 ℃ | 91 times- Is divided into | 91 times/min | 20 times/min | 0.9 | 131/100mmHg | There was no abnormality | There was no abnormality |
| 0001149391 | Woman | 61 | 2020/12/25 | Grade 3 hypertension | 36.5 ℃ | 70 times- Is divided into | 70 times/min | 20 times/min | 0.99 | 106/70mmHg | There was no abnormality | There was no abnormality |
| 0000960815 | For male | 58 | 2020/12/11 | Type 2 diabetes mellitus | 36.1 ℃ | 70 times- Is divided into | 70 times/min | 18 times/min | 0.96 | 118/68mmHg | There was no abnormality | There was no abnormality |
| 0000959180 | For male | 90 | 2020/12/2 | Type 2 diabetes mellitus | 36.2 ℃ | Is based on 76 times Is divided into | 76 times/min | 18 times/min | 0.9 | 120/75mmHg | There was no abnormality | There was no abnormality |
| 0001106796 | For male | 58 | 2020/12/11 | Type 2 diabetes mellitus | 36.5 ℃ | 74 times- Is divided into | 74 times/min | 12 times/min | 0.92 | 95/60mmHg | There was no abnormality | There was no abnormality |
| 0000644171 | Woman | 87 | 2020/12/23 | Coronary atherosclerotic heart disease | 36.2 ℃ | Is based on 76 times Is divided into | 86 times/min | 20 times/min | 1 | 150/84mmHg | There was no abnormality | There was no abnormality |
| 0000943271 | Woman | 76 | 2020/12/28 | Coronary atherosclerotic heart disease | 36.4 ℃ | 88 times- Is divided into | 88 times/min | 18 times/min | 0.99 | 145/77mmHg | There was no abnormality | There was no abnormality |
| 0001151897 | For male | 64 | 2020/12/18 | Coronary atherosclerotic heart disease | 36.3 ℃ | 57 times- Is divided into | 57 times/min | 20 times/min | 0.98 | 144/79mmHg | There was no abnormality | There was no abnormality |
| 0000940898 | For male | 92 | 2020/12/28 | Multiple cerebral infarction | 36.4 ℃ | 68 times- Is divided into | 68 times/min | 20 times/min | 0.96 | 125/70mmHg | There was no abnormality | There was no abnormality |
| 0001153111 | Woman | 48 | 2020/12/5 | Multiple cerebral infarction | 36.6 ℃ | Is 80 times- Is divided into | 80 times/min | 19 times/min | 0.99 | 130/80mmHg | There was no abnormality | There was no abnormality |
| 0001155408 | Woman | 65 | 2020/12/15 | Multiple cerebral infarction | 36.4 ℃ | Is based on 76 times Is divided into | 76 times/min | 20 times/min | 0.9 | 120/70mmHg | There was no abnormality | There was no abnormality |
| 0000767722 | Woman | 66 | 2021/1/4 | Grade 3 hypertension | 36.1 ℃ | 91 times- Is divided into | 91 times/min | 20 times/min | 0.9 | 131/100mmHg | There was no abnormality | There was no abnormality |
| 0000968222 | For male | 84 | 2020/1/8 | Grade 3 hypertension | 36.0 ℃ | 68 times- Is divided into | 68 times/min | 20 times/min | 0.99 | 140/84mmHg | There was no abnormality | There was no abnormality |
| 0001158483 | For male | 47 | 2020/1/4 | Grade 3 hypertension | 36.3 ℃ | 64 times- Is divided into | 64 times/min | 19 times/min | 0.98 | 139/94mmHg | There was no abnormality | There was no abnormality |
| 0001167221 | Woman | 58 | 2021/1/25 | Type 2 diabetes mellitus | 36.3 ℃ | 84 times- Is divided into | 84 times/min | 21 times/min | 0.94 | 140/80mmHg | There was no abnormality | There was no abnormality |
| 0001167340 | For male | 60 | 2021/1/25 | Type 2 diabetes mellitus | 36.0 ℃ | 78 times- Is divided into | 78 times/min | 18 times/min | 0.94 | 150/90mmHg | There was no abnormality | There was no abnormality |
| 0000669747 | For male | 69 | 2021/1/26 | Type 2 diabetes mellitus | 35.8 ℃ | Is based on 76 times Is divided into | 76 times/min | 18 times/min | 0.98 | 130/60mmHg | There was no abnormality | There was no abnormality |
| 0001168080 | For male | 66 | 2020/1/9 | Coronary atherosclerotic heart disease | 36.3 ℃ | 70 times- Is divided into | 70 times/min | 20 times/min | 0.99 | 117/80mmHg | There was no abnormality | There was no abnormality |
| 0000766216 | For male | 51 | 2020/1/18 | Coronary atherosclerotic heart disease | 36.2 ℃ | 82 times- Is divided into | 82 times/min | 20 times/min | 0.97 | 130/90mmHg | There was no abnormality | There was no abnormality |
| 0001167387 | For male | 64 | 2020/1/11 | Coronary atherosclerotic heart disease | 36.3 ℃ | Is based on 86 times Is divided into | 86 times/min | 21 times/min | 0.9 | 130/83mmHg | There was no abnormality | There was no abnormality |
| 0001167829 | For male | 69 | 2020/1/12 | Multiple cerebral infarction | 36.2 ℃ | Is 60 times- Is divided into | 60 times/min | 18 times/min | 0.98 | 160/78mmHg | There was no abnormality | There was no abnormality |
| 0001168498 | For male | 62 | 2020/1/16 | Multiple cerebral infarction | 36.0 ℃ | 77 times- Is divided into | 77 times/min | 18 times/min | 0.99 | 118/78mmHg | There was no abnormality | There was no abnormality |
| 0000786328 | For male | 87 | 2020/1/8 | Multiple cerebral infarction | 36.0 ℃ | 70 times- Is divided into | 70 times/min | 18 times/min | 0.91 | 120/70mmHg | There was no abnormality | There was no abnormality |
| 0001172229 | Woman | 61 | 2021/3/15 | Grade 3 hypertension | 36.5 ℃ | 64 times- Is divided into | 64 times/min | 20 times/min | 0.9 | 142/90mmHg | There was no abnormality | There was no abnormality |
| 0001170032 | For male | 62 | 2021/3/12 | Grade 3 hypertension | 36.1 ℃ | Is 75 times- Is divided into | 75 times/min | 20 times/min | 0.94 | 130/70mmHg | There was no abnormality | There was no abnormality |
| 0001171524 | For male | 65 | 2021/3/15 | Grade 3 hypertension | 36.4 ℃ | Is 90 times- Is divided into | 90 times/min | 20 times/min | 1 | 138/92mmHg | There was no abnormality | There was no abnormality |
| 0000859439 | For male | 68 | 2021/3/26 | Type 2 diabetes mellitus | 36.8 ℃ | Is based on 86 times Is divided into | 86 times/min | 19 times/min | 0.97 | 140/80mmHg | There was no abnormality | There was no abnormality |
| 0000859439 | For male | 68 | 2021/3/21 | Type 2 diabetes mellitus | 36.2 ℃ | Is 90 times- Is divided into | 90 times/min | 20 times/min | 0.98 | 150/90mmHg | There was no abnormality | There was no abnormality |
| 0001167427 | For male | 73 | 2021/3/1 | Type 2 diabetes mellitus | 36.0 ℃ | Is determined 83 times Is divided into | 83 times/min | 20 times/min | 0.93 | 130/60mmHg | There was no abnormality | There was no abnormality |
| 0001168035 | For male | 65 | 2021/3/22 | Coronary atherosclerotic heart disease | 36.4 ℃ | 70 times- Is divided into | 70 times/min | 20 times/min | 0.91 | 140/90mmHg | There was no abnormality | There was no abnormality |
| 0001167956 | Woman | 61 | 2021/3/18 | Coronary atherosclerotic heart disease | 36.5 ℃ | Is 75 times- Is divided into | 75 times/min | 18 times/min | 0.9 | 164/80mmHg | There was no abnormality | There was no abnormality |
| 0001167995 | Woman | 57 | 2021/3/2 | Coronary atherosclerotic heart disease | 36.5 ℃ | 105 times- Is divided into | 105 times/min | 20 times/min | 0.9 | 148/81mmHg | There was no abnormality | There was no abnormality |
| 0001170083 | For male | 76 | 2021/3/13 | Multiple cerebral infarction | 36.4 ℃ | Is 90 times- Is divided into | 90 times/min | 20 times/min | 0.9 | 150/80mmHg | There was no abnormality | There was no abnormality |
| 0001171083 | Woman | 65 | 2021/3/15 | Multiple cerebral infarction | 36.0 ℃ | Is 80 times- Is divided into | 80 times/min | 19 times/min | 0.91 | 120/80mmHg | There was no abnormality | There was no abnormality |
| 0001095991 | Woman | 72 | 2021/3/19 | Multiple cerebral infarction | 36.3 ℃ | 72 times- Is divided into | 72 times/min | 20 times/min | 0.91 | 120/81mmHg | There was no abnormality | There was no abnormality |
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The medical intelligent wrist strap control system is characterized by comprising:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
the data processing module is used for realizing convergence, fusion and modeling of the somatosensory complex heterogeneous high-dimensional dynamic data;
the communication and integration module is used for realizing communication and integration of the multi-mode data sensor and the wrist strap;
the knowledge graph construction module is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the rapid and intelligent construction of the large-scale causal medical knowledge graph;
the auxiliary diagnosis and treatment decision module is used for realizing an auxiliary diagnosis and treatment decision based on artificial intelligence;
the clinical management module is used for realizing the clinical management of the patient with the cardiovascular and cerebrovascular system chronic diseases;
the doctor-patient interaction module is used for realizing the integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system in the hospital and outside the hospital;
and the visualization module is used for realizing multi-mode holographic visual presentation of the patient information.
2. A medical smart wristband control method performing the medical smart wristband control system according to claim 1, wherein the medical smart wristband control method comprises the steps of:
the method comprises the following steps that firstly, the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems;
step two, realizing the convergence, fusion and modeling of the somatosensory complex heterogeneous high-dimensional dynamic data through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
thirdly, the knowledge map construction module is used for realizing the representation, extraction, fusion, reasoning and quality evaluation of the knowledge based on the large-scale causal medical knowledge map rapid intelligent construction;
step four, realizing an auxiliary diagnosis and treatment decision based on artificial intelligence through an auxiliary diagnosis and treatment decision module; the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module;
step five, realizing the integrated management of the patients with the chronic diseases of the cardiovascular and cerebrovascular system in and out of the hospital through a doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
3. The medical intelligent wristband control method according to claim 2, wherein in step one, the data with diagnosis and treatment value comprises: body temperature, pulse, heart rate, blood pressure, bowel sounds, electrocardiographic examination, dynamic electrocardio, dynamic blood pressure, real-time electrocardio, lung function, electroencephalogram, myoelectricity, gait, limb posture and motion data of patients with cardiovascular and cerebrovascular chronic diseases.
4. The medical intelligent wristband control method according to claim 2, wherein in the second step, the somatosensory complex heterogeneous high-dimensional dynamic data comprises: visual, audio and tactile data.
5. The medical intelligent wristband control method according to claim 2, wherein in step five, the integrated management includes: medication reminding, doctor's advice compliance, disease monitoring, auxiliary diagnosis, treatment plan evaluation, disease prevention, and diagnosis intervention.
6. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the medical smart wristband control system of claim 1, when executed on an electronic device.
7. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the medical smart wristband control system of claim 1.
8. An information data processing terminal, characterized in that the information data processing terminal is used for implementing the medical intelligent wrist strap control system according to claim 1.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems; the aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data are realized through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
the knowledge representation, extraction, fusion, reasoning and quality evaluation based on the large-scale causal medical knowledge graph quick intelligent construction are realized through a knowledge graph construction module; an auxiliary diagnosis and treatment decision based on artificial intelligence is realized through an auxiliary diagnosis and treatment decision module;
the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module; the hospital internal and external integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through the doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
the data acquisition module is used for acquiring diagnosis and treatment value data of patients with chronic diseases of the cardiovascular and cerebrovascular systems; the aggregation, fusion and modeling of somatosensory complex heterogeneous high-dimensional dynamic data are realized through a data processing module; the multi-mode data sensor and the wrist strap are communicated and connected in a centralized mode through the communication and connection module;
the knowledge representation, extraction, fusion, reasoning and quality evaluation based on the large-scale causal medical knowledge graph quick intelligent construction are realized through a knowledge graph construction module; an auxiliary diagnosis and treatment decision based on artificial intelligence is realized through an auxiliary diagnosis and treatment decision module;
the clinical management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through a clinical management module; the hospital internal and external integrated management of the patient with the chronic disease of the cardiovascular and cerebrovascular system is realized through the doctor-patient interaction module; and realizing multi-mode holographic visual presentation of the patient information through the visualization module.
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