Intelligent medical dynamic monitoring method based on big data analysis and medical cloud platform

Abstract

The invention discloses an intelligent medical dynamic monitoring method based on big data analysis and a medical cloud platform, real-time medical data are collected through an intelligent medical device and a sensor, the collected real-time medical data are transmitted to a cloud end in real time after edge processing, the cloud end sends the data to a processor, and the processor sends the data to the cloud end. The processor combines the collected real-time medical data to carry out multi-modal fusion analysis processing on the illness state, the analysis result is displayed on the medical care terminal display equipment in real time, and part of content is selected and displayed on the user terminal display equipment. According to the intelligent medical dynamic monitoring method and the medical cloud platform, the physical state of a patient can be mastered in real time, the workload of medical staff is reduced, and the emergency situation can be handled in time.

Description

Technical Field

[0001] The present invention relates to the field of intelligent healthcare, and more particularly, to an intelligent healthcare dynamic monitoring method and a medical cloud platform based on big data analysis. Background Art

[0002] Intelligent healthcare utilizes modern information technology and communication technology, combined with medical resources, to provide efficient, convenient, and personalized medical services. The application of big data analysis technology in intelligent healthcare can significantly improve the processing efficiency and analysis accuracy of medical data, providing a scientific basis for medical decision-making.

[0003] The intelligent healthcare dynamic monitoring method based on big data analysis is of great significance in improving the efficiency and quality of medical services. However, problems such as system integration and real-time performance still need to be further solved. Summary of the Invention

[0004] The object of the present invention is to provide an intelligent healthcare dynamic monitoring method and a medical cloud platform based on big data analysis. The intelligent healthcare dynamic monitoring method and the medical cloud platform can real-time grasp the physical state of patients, reduce the workload of medical staff, and be able to handle emergencies in a timely manner.

[0005] To achieve the above object, the present invention provides an intelligent healthcare dynamic monitoring method based on big data analysis. Real-time medical data is collected through intelligent medical devices and sensors. The collected real-time medical data is transmitted to the cloud in real-time after edge processing. The cloud sends the data to a processor, and the processor performs multi-modal fusion analysis and processing on the condition based on the collected real-time medical data, and displays the analysis results on the display device at the medical staff end in real-time, and selects some content to be displayed on the display device at the user end.

[0006] Preferably, the collected real-time medical data includes: collecting respiratory sound waves generated during sleep through a radar wave receiver, filtering environmental waves through a filter and then performing amplification processing to form respiratory wave data; collecting real-time heart rate data, blood oxygen saturation, body temperature data, sleep data, and location information data through a medical bracelet; and collecting the patient's posture in real-time through a camera.

[0007] Preferably, collecting the patient's posture includes collecting it omnidirectionally using a multi-directional camera, establishing a three-dimensional model of the patient's posture, marking the parts that have not moved within a certain period of time through analyzing the model, and marking different colors according to the time regions where there is no movement.

[0008] Preferably, the sleep stage of the patient is monitored in real-time through the respiratory wave data.

[0009] Preferably, the intelligent medical dynamic monitoring method further includes sending medical warnings to the medical staff display device through the warning module, and sending emergency warnings and emergency warning solutions to the user display device.

[0010] Preferably, the user display device collects the user's preference data through entertainment applications, classifies and stores the preference data, and customizes diet and exercise plans for the user based on the preference data.

[0011] The present invention also provides a medical cloud platform to support the intelligent medical dynamic monitoring method. It is characterized in that the medical cloud platform includes:

[0012] A data acquisition layer, composed of a radar wave receiver, a medical bracelet, and a camera;

[0013] Used to collect the patient's respiratory wave data, heart rate / oxygen saturation data, body temperature data, sleep stage information, location information, and posture information;

[0014] A data processing layer, composed of an edge computing gateway and a cloud server;

[0015] The various data collected by the data acquisition layer are sent to the cloud server after edge processing by the edge computing gateway, and are subjected to spatio-temporal alignment and multi-modal fusion analysis and processing;

[0016] An application layer, including a medical staff side and a user side;

[0017] On the medical staff side, apnea warnings, vital sign trend charts, fall detection, and posture detection charts are displayed; on the user side, sleep scores, real-time positioning, and abnormal reminders are displayed.

[0018] According to the above technical solution, the intelligent medical dynamic monitoring method and medical cloud platform in the present invention can grasp the physical state of the patient in real time, reduce the workload of medical staff, and can be processed in a timely manner in case of emergencies.

[0019] Other features and advantages of the present invention will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used to explain the present invention together with the following specific implementation manners, but do not constitute a limitation to the present invention. In the drawings:

[0021] Figure 1 is a flowchart of the intelligent medical dynamic monitoring method;

[0022] Figure 2 is a module layout diagram of the medical cloud platform. DETAILED DESCRIPTION OF THE INVENTION

[0023] The following will describe in detail the specific embodiments of the present invention with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0024] In the present invention, unless otherwise stated, the directional terms such as "up and down, left and right, front and back, inside and outside" included in the terms only represent the directions of the terms in the normal use state, or the common names understood by those skilled in the art, and should not be regarded as a limitation to the terms.

[0025] See Figure 1-2 The intelligent medical dynamic monitoring method based on big data analysis shown in the figure collects real-time medical data through intelligent medical devices and sensors. The collected real-time medical data is transmitted to the cloud in real time after edge processing. The cloud sends the data to the processor, and the processor performs multi-modal fusion analysis and processing on the condition of the disease in combination with the collected real-time medical data, and displays the analysis results on the display device at the medical staff end in real time, and selects some content to display on the display device at the user end.

[0026] Through the implementation of the above technical solutions, the intelligent medical dynamic monitoring method and the medical cloud platform can master the physical state of the patient in real time, reduce the work burden of medical staff, and can be processed in time in case of emergencies. After edge processing of the real-time medical data, the processing burden on the processor is reduced. Finally, after data fusion, the corresponding content is displayed on the medical staff end and the user end respectively.

[0027] In this embodiment, the collected real-time medical data includes: collecting the breathing sound waves generated during sleep through a radar wave receiver, filtering the environmental waves through a filter and then performing amplification processing to form breathing wave data; collecting real-time heart rate data, blood oxygen saturation, body temperature data, sleep data and position information data through a medical bracelet; collecting the patient's posture in real time through a camera. The collected data includes but is not limited to the above data. For example, the sleep stage can be monitored through breathing sound waves, the vital signs can be monitored through heart rate data, blood oxygen saturation and body temperature data, and by collecting the patient's posture, when lying in bed for a long time, the relative position between the body and the bed can be understood through the monitoring of the posture. For example, the situation where pressure sores are likely to occur due to long-term compression of the same part can be effectively avoided.

[0028] In this embodiment, collecting the patient's posture includes collecting it omnidirectionally by using a multi-directional camera, establishing a three-dimensional model of the patient's posture, marking the parts that have not moved within a certain period of time through analyzing the model, and marking different colors according to the time regions where there is no movement. Through such a setting, by displaying this three-dimensional model on the medical staff end and the user end, the long-term lying and turning over situation of the patient can be understood, and the user can be reminded to turn over the patient in time to avoid the formation of pressure sores.

[0029] In this embodiment, the sleep stage of the patient is monitored in real time through respiratory wave data. By understanding the sleep stage, a judgment on the impact of sleep on the condition is made, providing theoretical support for subsequent treatment or rehabilitation, and better treating the patient's disease.

[0030] In this embodiment, the intelligent medical dynamic monitoring method further includes sending a medical warning to the medical staff display device and sending an emergency warning and an emergency warning plan to the user display device through the warning module. When an indicator is higher than a predetermined value, an emergency warning plan is sent to quickly handle emergencies.

[0031] In this embodiment, the user display device collects the user's preference data through entertainment applications, classifies and stores the preference data, and customizes a diet and exercise plan for the user based on the preference data. Through such settings, for example, short video or text applications, according to the viewing preferences and staying duration of the patient, the user's preference data is collected, and a special rehabilitation plan, such as a diet plan and an exercise plan, is customized for these user preference data.

[0032] The present invention also provides a medical cloud platform to support the intelligent medical dynamic monitoring method described above, characterized in that the medical cloud platform includes:

[0033] A data acquisition layer, composed of a radar wave receiver, a medical bracelet, and a camera;

[0034] Used to collect the patient's respiratory wave data, heart rate / oxygen saturation data, body temperature data, sleep stage, location information, and posture information;

[0035] A data processing layer, composed of an edge computing gateway and a cloud server;

[0036] The various data collected by the data acquisition layer are sent to the cloud server after edge processing by the edge computing gateway, and are processed through spatio-temporal alignment and multi-modal fusion analysis;

[0037] An application layer, including a medical staff side and a user side;

[0038] On the medical staff side, a respiratory apnea warning, a vital sign trend graph, a fall detection, and a posture detection graph are displayed; on the user side, a sleep score, real-time positioning, and an abnormal reminder are displayed.

[0039] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0040] In addition, it should be noted that, for the various specific technical features described in the above specific embodiments, they can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present invention will not separately describe various possible combination methods.

[0041] In addition, any combinations can be made among the various different embodiments of the present invention, as long as they do not violate the idea of the present invention, and they should also be regarded as the content disclosed by the present invention.

Claims

1. A smart medical dynamic monitoring method based on big data analysis, characterized in that, Collect real-time medical data through intelligent medical devices and sensors. The collected real-time medical data is transmitted to the cloud in real time after edge processing. The cloud sends the data to the processor, and the processor performs multi-modal fusion analysis and processing on the condition of the disease in combination with the collected real-time medical data, and displays the analysis results on the display device at the medical staff end in real time, and selects some content to display on the display device at the user end.

2. The intelligent medical dynamic monitoring method based on big data analysis according to claim 1, wherein The collected real-time medical data includes: Collect the respiratory sound waves generated by breathing during sleep through a radar wave receiver, filter the environmental waves through a filter and then perform amplification processing to form respiratory wave data; Collect real-time heart rate data, blood oxygen saturation, body temperature data, sleep data and location information data through a medical bracelet; Collect the patient's posture in real time through a camera.

3. The intelligent medical dynamic monitoring method based on big data analysis according to claim 2, characterized in that Collecting the patient's posture includes omnidirectional collection using a multi-directional camera, establishing a three-dimensional model of the patient's posture, marking the parts that have not moved within a certain period of time through analysis of the model, and marking different colors according to the time regions where there is no movement.

4. The intelligent medical dynamic monitoring method based on big data analysis according to claim 2, characterized in that, Monitor the patient's sleep stage situation in real time through the respiratory wave data.

5. The intelligent medical dynamic monitoring method based on big data analysis according to claim 1, characterized in that This intelligent medical dynamic monitoring method also includes sending medical warnings to the display device at the medical staff end and sending emergency warnings and emergency warning plans to the display device at the user end through the warning module.

6. The intelligent medical dynamic monitoring method based on big data analysis according to claim 1, wherein The display device at the user end collects the user's preference data through entertainment applications, classifies and stores the preference data, and customizes diet and exercise plans for the user according to the preference data.

7. A medical cloud platform that supports the intelligent medical dynamic monitoring method described in any one of claims 1-6, characterized in that The medical cloud platform includes: A data collection layer, consisting of a radar wave receiver, a medical bracelet and a camera; Used to collect the patient's respiratory wave data, heart rate / blood oxygen data, body temperature data, sleep stage situation, location information and posture information; A data processing layer, consisting of an edge computing gateway and a cloud server; The various data collected by the data collection layer are sent to the cloud server after edge processing by the edge computing gateway, and are subjected to spatio-temporal alignment and multi-modal fusion analysis and processing; An application layer, including a medical staff end and a user end; Display apnea warnings, vital sign trend charts, fall detection and posture detection charts at the medical staff end; display sleep scores, real-time positioning and abnormal reminders at the user end.

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