CN116798659B - Comprehensive archive management platform based on coronary heart disease monitoring - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 107
- 208000029078 coronary artery disease Diseases 0.000 title claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 40
- 238000003745 diagnosis Methods 0.000 claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 24
- 238000007405 data analysis Methods 0.000 claims description 41
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Abstract
The invention relates to the technical field of medical management, in particular to a comprehensive archive management platform based on coronary heart disease monitoring, which comprises an information acquisition terminal, a patient database and an information cloud server, wherein the information acquisition terminal is used for acquiring daily monitoring data of wearing equipment of patients suffering from coronary heart disease, the patient database is used for storing diagnosis and treatment data of the patients suffering from coronary heart disease when the patients consult doctors in hospitals, and the information cloud server is used for processing the daily monitoring data and the diagnosis and treatment data of the patients; the diagnosis and treatment data and the daily monitoring data of the patient are analyzed to determine the risk degree of the patient after diagnosis and treatment, and the judgment mode of the daily monitoring data of the patient is determined according to the evaluation of different risk degrees of the diagnosis and treatment data of the patient so as to analyze and judge the daily monitoring data of the patient, so that the accuracy of analyzing the daily monitoring data of the patient is improved while the patient can be accurately monitored.
Description
Technical Field
The invention relates to the technical field of medical management, in particular to a comprehensive archive management platform based on coronary heart disease monitoring.
Background
Coronary heart disease is also called coronary atherosclerotic heart disease, is heart disease caused by coronary artery lumen stenosis or occlusion, is mainly clinically manifested by chest pain, chest distress and exacerbation after movement, and has the advantages of continuously increasing the prevalence and mortality in recent years due to unobvious and urgent morbidity, so the coronary heart disease treatment method is particularly important for the management of patients with coronary heart disease after diagnosis and treatment.
Chinese patent publication No.: CN105912847a discloses a system for implementing post-diagnosis management of coronary heart disease, which comprises a patient terminal, a doctor terminal and a post-diagnosis management platform, wherein the patient terminal is used for displaying post-diagnosis management patient end software, the doctor terminal is used for displaying post-diagnosis management doctor end software, and the post-diagnosis management platform comprises: a patient information management module; a doctor information management module; the clinical event management module is used for receiving the clinical event uploaded by the patient terminal and sending the clinical event to the corresponding doctor user, and receiving the illness state processing information sent by the doctor terminal and sending the illness state processing information to the corresponding patient user. The system for realizing the post-diagnosis management of the coronary heart disease with the structure mainly realizes the post-diagnosis management of the coronary heart disease, is convenient for the uploading of clinical events of coronary heart disease people and the operation of doctor diagnosis, follow-up information management and medical assistance, and has wider application range; therefore, the problem that the recovery efficiency of the recovery stage after diagnosis and treatment of the patient is low because the patient cannot be accurately detected and the monitoring data cannot be accurately analyzed and processed in the prior art is solved.
Disclosure of Invention
Therefore, the invention provides a comprehensive archive management platform based on coronary heart disease monitoring, which is used for solving the problem that the recovery efficiency of the recovery stage of a patient after diagnosis and treatment is low due to the fact that the patient cannot be accurately detected and the monitoring data cannot be accurately analyzed and processed in the prior art.
In order to achieve the above object, the present invention provides a comprehensive archive management platform based on coronary heart disease monitoring, comprising:
the information acquisition terminal is used for acquiring daily monitoring data of wearing equipment of a patient suffering from coronary heart disease;
a patient database to store diagnosis and treatment data when the patient suffering from coronary heart disease consults a physician in a hospital;
the information cloud server is respectively connected with the information acquisition terminal and the patient database, and comprises a data acquisition unit used for acquiring the daily monitoring data acquired by the information acquisition terminal and the diagnosis and treatment data stored in the patient database, a data analysis unit used for analyzing the daily monitoring data and the diagnosis and treatment data acquired by the data acquisition unit, a data processing unit used for determining a processing mode of the daily monitoring data according to the data analysis unit, and a transmission request unit used for requesting uploading data and downloading data to the patient database;
the data analysis unit is provided with a judging mode for analyzing the diagnosis and treatment data under a preset request condition to determine the analysis of the daily monitoring data of the patient, and performs stability analysis on the daily monitoring data of the patient under the corresponding judging mode to determine the stability state of the daily monitoring data, so that the data processing unit determines to screen the daily monitoring data in an unstable state according to the stability state of the daily monitoring data.
Further, the data analysis unit analyzes diagnosis and treatment data of the patient in a hospital under a first preset request condition to determine a risk evaluation value of the patient suffering from coronary heart disease according to the diagnosis and treatment data, and determines a plurality of judging modes of the daily monitoring data according to a comparison result of the risk evaluation value and a preset risk evaluation value, wherein the plurality of judging modes comprise a first judging mode when the risk evaluation value is smaller than or equal to a preset risk evaluation value level and a second judging mode when the risk evaluation value is larger than the preset risk evaluation value level;
the first preset request condition is that the transmission request unit requests uploading data to the patient database.
Further, the data analysis unit calculates a risk evaluation value Y of the patient suffering from coronary heart disease according to the following formula under a first preset request condition, wherein the risk evaluation value is determined by an abnormality index at the time of an electrocardiogram ST-T change of the patient at the time of exercise flat electrocardiogram detection in a hospital.
Further, the data analysis unit analyzes fluctuation of blood pressure, heart rate and blood oxygen saturation in the daily monitoring data in a preset period in a first judging mode, so as to determine a fluctuation index of the daily monitoring data according to an analysis result, and when the fluctuation index is larger than a preset fluctuation index, it is determined that the daily monitoring data is in an unstable state.
Further, the data analysis unit determines a stability evaluation value of the patient after daily medication in a second determination mode, so as to determine that the daily monitoring data is in a stable state when the stability evaluation value is greater than a preset stability evaluation value.
Further, the data analysis unit determines the similarity of the daily monitoring data in an unstable state in a plurality of periods under the corresponding determination mode, so that the data processing unit determines a plurality of screening modes of the daily monitoring data in the unstable state according to the comparison result of the similarity and the preset similarity, wherein the plurality of screening modes comprise a first screening mode in which the similarity is smaller than or equal to a preset similarity level and a second screening mode in which the similarity is larger than the preset similarity level.
Further, in the first screening mode, the data processing unit determines a ratio of a data amount of fifty percent of the daily monitoring data in an unstable state to a total data amount of the daily monitoring data in an unstable state, so as to determine a plurality of screening proportions of the daily monitoring data in an unstable state according to a comparison result of the ratio and a preset ratio, wherein the plurality of screening proportions comprise a first proportion of the ratio being smaller than or equal to the preset ratio and a second proportion of the ratio being larger than the preset ratio.
Further, the data processing unit screens the same data in the daily monitoring data in an unstable state corresponding to the preset similarity level in a fifty percent screening proportion in a second screening mode.
Further, the data analysis unit determines the frequency of abnormal lesions in a plurality of historical patient data of the patient database in a preset period under a second preset request condition, and determines to adjust the judging mode when the frequency is greater than a preset frequency;
the second preset request condition is that the transmission request unit requests to acquire the data in the patient database and the data acquisition unit completes the data.
Further, the data analysis unit calculates a frequency difference value between the frequency and a preset frequency at a preset frequency level, so as to determine a plurality of adjustment modes of the judging mode according to a comparison result of the frequency difference value and the preset frequency difference value, wherein the plurality of adjustment modes comprise a first adjustment mode for adjusting the preset fluctuation index by a fluctuation adjustment coefficient and a second adjustment mode for adjusting the preset stability evaluation value by a stability adjustment coefficient;
the fluctuation adjusting coefficient is the ratio of the frequency difference value to the preset frequency difference value, and the stable adjusting coefficient is the ratio of the difference of the frequency difference value to the preset frequency difference value.
Compared with the prior art, the method has the beneficial effects that the diagnosis and treatment data and the daily monitoring data of the patient are analyzed to determine the risk degree of the patient after diagnosis and treatment, and the daily monitoring data of the patient are analyzed and judged by determining the judgment mode of the daily monitoring data of the patient according to the evaluation of different risk degrees of the diagnosis and treatment data of the patient, so that the accurate monitoring of the patient is ensured, and the accuracy of the daily monitoring data of the patient in analysis is improved.
Furthermore, according to the invention, different judging and analyzing modes are set, and the fluctuation of daily monitoring data or the stability of the daily monitoring data are used for further determining the stable state of the daily monitoring data of the patient, so that the screening mode of screening the daily monitoring data when the daily monitoring data are in an unstable state is judged, and the screened daily monitoring data are transmitted to a patient database to be used as the basis of daily monitoring of the patient and the basis of further diagnosis and treatment of a doctor on the patient, thereby further ensuring that the patient can be accurately monitored, improving the accuracy of analyzing the daily monitoring data of the patient, and improving the rehabilitation efficiency of the patient.
Furthermore, according to the invention, different screening proportions are set for the daily monitoring data in an unstable state in a corresponding screening mode, so that the accuracy of an analyst for the daily monitoring data of a patient is further improved, and the rehabilitation efficiency of the patient is further improved.
Further, the method and the device determine whether to adjust the judging mode and the adjusting mode of the judging mode according to the frequency of abnormal lesions in a plurality of historical patient data in the patient database, and respectively adjust the preset fluctuation index or the preset stability evaluation value in the corresponding judging mode under the corresponding adjusting mode so as to reduce the corresponding preset fluctuation range or the preset stability range, so that more daily monitoring data of patients are acquired, the accuracy of analyzing the daily monitoring data of the patients is improved while the patients can be accurately monitored, and the rehabilitation efficiency of the patients is improved.
Drawings
FIG. 1 is a schematic structural diagram of a comprehensive archive management platform based on coronary heart disease monitoring in an embodiment of the invention;
FIG. 2 is a schematic diagram of the structure of an information cloud server in a comprehensive archive management platform based on coronary heart disease monitoring according to an embodiment of the present invention;
in the figure, the system comprises a 1-information acquisition terminal, a 2-patient database and a 3-information cloud server.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic structural diagram of a comprehensive archive management platform based on coronary heart disease monitoring according to an embodiment of the present invention; fig. 2 is a schematic structural diagram of an information cloud server in a comprehensive archive management platform based on coronary heart disease monitoring according to an embodiment of the present invention.
The embodiment of the invention provides a comprehensive archive management platform based on coronary heart disease monitoring, which comprises the following components:
the information acquisition terminal is used for acquiring daily monitoring data of wearing equipment of a patient suffering from coronary heart disease;
a patient database to store diagnosis and treatment data when the patient suffering from coronary heart disease consults a physician in a hospital;
the information cloud server is respectively connected with the information acquisition terminal and the patient database, and comprises a data acquisition unit used for acquiring daily monitoring data acquired by the information acquisition terminal and diagnosis and treatment data stored in the patient database, a data analysis unit used for analyzing the daily monitoring data and the diagnosis and treatment data acquired by the data acquisition unit, a data processing unit used for determining a processing mode of the daily monitoring data according to the data analysis unit, and a transmission request unit used for requesting uploading data and downloading data to the patient database.
In an embodiment of the present invention, the daily monitoring data includes at least one of heart rate, blood pressure and blood oxygen saturation of the patient;
the medical data includes, but is not limited to, an electrocardiogram, a coronary angiography, and an echocardiogram of the patient.
Specifically, the data analysis unit analyzes diagnosis and treatment data of the patient in a hospital under a first preset request condition, so as to determine a risk evaluation value Y of the patient suffering from coronary heart disease according to the diagnosis and treatment data, and determine a judging mode of the daily monitoring data according to a comparison result of the risk evaluation value Y and a preset risk evaluation value Y0;
if Y is less than or equal to Y0, the data analysis unit determines to judge the daily monitoring data in a first judgment mode;
if Y is more than Y0, the data analysis unit determines to judge the daily monitoring data in a second judging mode;
the first preset request condition is that the transmission request unit requests uploading data to the patient database.
Specifically, the data analysis unit determines a risk evaluation value Y of the patient suffering from coronary heart disease under a first preset request condition, wherein the risk evaluation value is determined by an abnormality index of the patient at the time of electrocardiographic ST-T change at the time of exercise flat plate electrocardiographic detection at a hospital.
In the embodiment of the invention, the preset risk evaluation value is 120% of an abnormality index when the electrocardiogram ST-T of the patient changes during exercise flat-plate electrocardiogram detection in a hospital.
Specifically, the data analysis unit analyzes fluctuation of blood pressure, heart rate and blood oxygen saturation in the daily monitoring data in a preset period in a first judging mode, so as to determine a fluctuation index R of the daily monitoring data according to an analysis result, and determine whether the daily monitoring data is in a stable state according to a comparison result of the fluctuation index R and a preset fluctuation index R0;
if R is less than or equal to R0, the data analysis unit determines that the daily monitoring data is in a stable state;
if R is more than R0, the data analysis unit determines that the daily monitoring data is in an unstable state;
the fluctuation index is a first ratio of the sum of the blood pressure values exceeding the standard range and the sum of the intermediate values of the normal range of the corresponding times, which are monitored in a preset period, a second ratio of the sum of the heart rate values exceeding the standard range and the sum of the intermediate values of the normal range of the corresponding times, and a third ratio of the sum of the blood oxygen saturation values exceeding the standard range and the sum of the intermediate values of the normal range of the corresponding times.
In the embodiment of the invention, the preset fluctuation index is the sum of the first ratio of the sum of blood pressure values exceeding the standard range and the sum of intermediate values of the normal range of corresponding times, the second ratio of the sum of heart rate values exceeding the standard range and the sum of intermediate values of the normal range of corresponding times and the third ratio of the sum of blood oxygen saturation values exceeding the standard range and the sum of intermediate values of the normal range of corresponding times of a normal person in a preset period.
In the embodiment of the present invention, the preset period is seven days, one day is taken as a monitoring period, and the preset period is seven days, but the value of the preset period is not limited to a sub-set, and a person skilled in the art can also limit the value of the preset period according to actual needs, which is not limited in this embodiment.
Specifically, the data analysis unit determines whether the daily monitoring data is in a stable state according to a comparison result of a stability evaluation value W of the patient after daily administration and a preset stability evaluation value W0 in a second determination mode;
if W is less than or equal to W0, the data analysis unit determines that the daily monitoring data is in an unstable state;
if W is more than W0, the data analysis unit determines that the daily monitoring data is in a stable state;
the stability evaluation value is a ratio of a sum of maintenance time durations of the patient in a standard range after daily medication and a total time duration of a preset period.
In the embodiment of the invention, the preset stability evaluation value is a ratio of a mean value of a sum of maintenance durations of the daily monitoring data in a standard range in a preset period to a total duration of the preset period after a plurality of patients in the patient database use corresponding medicines.
Specifically, the data analysis unit determines the similarity of the daily monitoring data in an unstable state in a plurality of periods under the corresponding judging mode, so that the data processing unit determines a screening mode of the daily monitoring data in the unstable state according to the comparison result of the similarity S and the preset similarity S0;
if S is less than or equal to S0, the data processing unit determines to screen the daily monitoring data in an unstable state in a first screening mode;
if S > S0, the data processing unit determines to screen the daily monitoring data in an unstable state in a second screening mode.
In the embodiment of the present invention, the similarity is a proportion of the data amount of the same numerical data in the plurality of sets of daily monitoring data corresponding to a plurality of periods to the total data amount, and the value of the preset similarity is 0.75, but the value of the preset similarity is not limited to a sub-set, and a person skilled in the art can define the value of the preset period according to the actual needs, which is not limited in this embodiment.
Specifically, in a first screening manner, the data processing unit determines a ratio B of a data amount of fifty percent of the daily monitoring data in an unstable state to a total data amount of the daily monitoring data in an unstable state, so as to determine a screening proportion of the daily monitoring data in an unstable state according to a comparison result of the ratio B and a preset ratio B1;
if B is less than or equal to B1, the data processing unit determines that the screening proportion of the daily monitoring data in an unstable state is a first proportion;
if B > B1, the data processing unit determines that the screening proportion of the daily monitoring data in an unstable state is a second proportion.
In the embodiment of the invention, the preset ratio has a value of 0.5, the first ratio is 10%, and the second ratio is 15%.
Specifically, in the second screening manner, the data processing unit screens the same data in the daily monitoring data in an unstable state corresponding to the preset similarity level in a fifty percent screening proportion.
Specifically, the data analysis unit determines the frequency H of abnormal lesions in a plurality of historical patient data of the patient database in a preset period under a second preset request condition, and determines whether to adjust the judging mode according to the comparison result of the frequency H and a preset frequency H0;
if H is less than or equal to H0, the data analysis unit determines that the judging mode is not adjusted;
if H is more than H0, the data analysis unit determines to adjust the judging mode;
the second preset request condition is that the transmission request unit requests to acquire the data in the patient database and the data acquisition unit completes the data.
In the embodiment of the invention, the preset frequency has a value of 1.
In the embodiment of the invention, the abnormal lesion is that the daily monitoring data of the patient exceeds twice the normal range or the patient has complications.
Specifically, the data analysis unit calculates a frequency difference value Δh between the frequency H and a preset frequency H0 at a preset frequency level, so as to determine an adjustment mode of the determination mode according to a comparison result of the frequency difference value Δh and the preset frequency difference value Δh0;
if ΔH is less than or equal to ΔH20, the data analysis unit determines to adjust the judging mode in a first adjusting mode;
if Δh > Δh0, the data analysis unit determines to adjust the determination mode in a second adjustment mode.
In the embodiment of the invention, the preset frequency difference value is 2.
In the embodiment of the invention, the preset frequency level satisfies that the frequency of abnormal lesions is larger than the preset frequency.
Specifically, the data analysis unit adjusts the preset fluctuation index in a first adjustment mode by using a fluctuation adjustment coefficient, wherein the fluctuation adjustment coefficient is the ratio of the frequency difference value to the preset frequency difference value.
Specifically, the data analysis unit adjusts the preset stability evaluation value in a second adjustment mode by using a stability adjustment coefficient, where the stability adjustment coefficient is a ratio of the difference between the frequency difference value and the preset frequency difference value to the preset frequency difference value.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (1)
1. An integrated archive management platform based on coronary heart disease monitoring, comprising:
the information acquisition terminal is used for acquiring daily monitoring data of wearing equipment of a patient suffering from coronary heart disease;
a patient database to store diagnosis and treatment data when the patient suffering from coronary heart disease consults a physician in a hospital;
the information cloud server is respectively connected with the information acquisition terminal and the patient database, and comprises a data acquisition unit used for acquiring the daily monitoring data acquired by the information acquisition terminal and the diagnosis and treatment data stored in the patient database, a data analysis unit used for analyzing the daily monitoring data and the diagnosis and treatment data acquired by the data acquisition unit, a data processing unit used for determining a processing mode of the daily monitoring data according to the data analysis unit, and a transmission request unit used for requesting uploading data and downloading data to the patient database;
the data analysis unit is provided with a judging mode for analyzing the diagnosis and treatment data under a preset request condition to determine the analysis of the daily monitoring data of the patient, and performs stability analysis on the daily monitoring data of the patient under the corresponding judging mode to determine the stability state of the daily monitoring data, so that the data processing unit determines to screen the daily monitoring data in an unstable state according to the stability state of the daily monitoring data;
the data analysis unit analyzes diagnosis and treatment data of the patient in a hospital under a first preset request condition to determine a risk evaluation value of the patient suffering from coronary heart disease according to the diagnosis and treatment data, and determines a plurality of judging modes of the daily monitoring data according to a comparison result of the risk evaluation value and a preset risk evaluation value, wherein the plurality of judging modes comprise a first judging mode when the risk evaluation value is smaller than or equal to a preset risk evaluation value level and a second judging mode when the risk evaluation value is larger than the preset risk evaluation value level;
wherein the first preset request condition is that the transmission request unit requests uploading data to the patient database;
the data analysis unit determines a risk evaluation value of the patient suffering from coronary heart disease under a first preset request condition, wherein the risk evaluation value is determined by an abnormality index of the patient when an electrocardiogram ST-T is changed when the patient performs exercise flat electrocardiogram detection in a hospital;
the data analysis unit is used for analyzing fluctuation of blood pressure, heart rate and blood oxygen saturation in the daily monitoring data in a preset period in a first judging mode so as to determine a fluctuation index of the daily monitoring data according to an analysis result, and determining that the daily monitoring data is in an unstable state when the fluctuation index is larger than a preset fluctuation index;
the data analysis unit determines a stability evaluation value of the patient after daily medication in a second judgment mode, so as to determine that the daily monitoring data is in a stable state when the stability evaluation value is greater than a preset stability evaluation value;
the data analysis unit determines the similarity of the daily monitoring data in an unstable state in a plurality of periods under the corresponding judging mode, so that the data processing unit determines a plurality of screening modes of the daily monitoring data in the unstable state according to the comparison result of the similarity and the preset similarity, wherein the plurality of screening modes comprise a first screening mode in which the similarity is smaller than or equal to a preset similarity level and a second screening mode in which the similarity is larger than the preset similarity level;
the data processing unit determines the ratio of the data amount of fifty percent of the daily monitoring data in an unstable state to the total data amount of the daily monitoring data in an unstable state in a first screening mode, so as to determine a plurality of screening proportions of the daily monitoring data in an unstable state according to the comparison result of the ratio and a preset ratio, wherein the plurality of screening proportions comprise a first proportion in which the ratio is smaller than or equal to the preset ratio and a second proportion in which the ratio is larger than the preset ratio;
the data processing unit screens the same data in the daily monitoring data in an unstable state corresponding to a preset similarity level in a fifty percent screening proportion in a second screening mode;
the data analysis unit determines the frequency of abnormal lesions in a plurality of historical patient data of the patient database in a preset period under a second preset request condition, and determines to adjust the judging mode when the frequency is greater than a preset frequency;
the second preset request condition is that the transmission request unit requests to acquire the data in the patient database and the data acquisition unit finishes acquiring the data;
the data analysis unit calculates the frequency difference value of the frequency and the preset frequency under the preset frequency level, and determines a plurality of adjustment modes of the judging mode according to the comparison result of the frequency difference value and the preset frequency difference value, wherein the plurality of adjustment modes comprise a first adjustment mode for adjusting the preset fluctuation index by a fluctuation adjustment coefficient and a second adjustment mode for adjusting the preset stability evaluation value by a stability adjustment coefficient;
the fluctuation adjusting coefficient is the ratio of the frequency difference value to the preset frequency difference value, and the stable adjusting coefficient is the ratio of the difference of the frequency difference value to the preset frequency difference value.
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| CN110322947A (en) * | 2019-06-14 | 2019-10-11 | 电子科技大学 | A kind of hypertension the elderly's exercise prescription recommended method based on deep learning |
| CN113555136A (en) * | 2021-07-23 | 2021-10-26 | 王志雄 | Five-in-one comprehensive medical care system based on medical fusion technology |
| CN114038578A (en) * | 2021-11-15 | 2022-02-11 | 中通服建设有限公司 | Medical supervision system based on 5G |
| CN116350192A (en) * | 2021-12-27 | 2023-06-30 | 华为技术有限公司 | Heart activity monitoring method and wearable device |
| WO2023124860A1 (en) * | 2021-12-27 | 2023-07-06 | 华为技术有限公司 | Cardiac activity monitoring method and wearable device |
| CN116403736A (en) * | 2023-06-07 | 2023-07-07 | 云天智能信息(深圳)有限公司 | Remote medical monitoring system based on Internet of things technology |
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