CN112086151A - Real-time monitoring method and system based on medical intelligent equipment - Google Patents
Real-time monitoring method and system based on medical intelligent equipment Download PDFInfo
- Publication number
- CN112086151A CN112086151A CN202010852752.6A CN202010852752A CN112086151A CN 112086151 A CN112086151 A CN 112086151A CN 202010852752 A CN202010852752 A CN 202010852752A CN 112086151 A CN112086151 A CN 112086151A
- Authority
- CN
- China
- Prior art keywords
- patient
- medical
- sign data
- subsystem
- physical sign
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000013500 data storage Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 208000024891 symptom Diseases 0.000 claims abstract description 8
- 230000000474 nursing effect Effects 0.000 claims abstract description 6
- 238000004891 communication Methods 0.000 claims description 13
- 238000007726 management method Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 6
- 230000000249 desinfective effect Effects 0.000 claims description 5
- 238000009528 vital sign measurement Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 4
- 238000010295 mobile communication Methods 0.000 claims description 4
- 238000003745 diagnosis Methods 0.000 abstract description 8
- 230000008569 process Effects 0.000 description 7
- 230000008859 change Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000000053 physical method Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a real-time monitoring method and a system based on medical intelligent equipment, which comprises the following steps: step S1, the patient to be admitted is filed through the information input subsystem, and basic information of the patient is input and stored in the data storage subsystem; step S2, collecting the physical sign data of the patient by using the physical sign data detection subsystem, uploading the collected physical sign data to the medical care center control subsystem and storing the collected physical sign data in the data storage subsystem; step S3, the medical center control subsystem calculates and analyzes the patient symptoms and the collected sign data according to a preset model and outputs a model result, generates an analysis trend graph and provides the analysis trend graph for medical staff and doctors; in step S4, the patient receives follow-up treatment and care. The system and the method can monitor the physical sign data of the patient in real time and periodically collect the physical sign data of the patient, thereby improving the working efficiency of medical staff, reducing the working intensity of the medical staff, providing real-time data support and further improving the diagnosis and nursing efficiency.
Description
Technical Field
The invention relates to a method for acquiring and managing patient information and physical sign data, in particular to a real-time monitoring method and a real-time monitoring system based on medical intelligent equipment.
Background
At present, in the process of clinical hospitalization, patient physical sign data are collected, managed and analyzed, and then real-time data support is provided for the treatment process, the traditional data processing mode is adopted, and generally, manual measurement and collection, collection and statistical analysis are periodically performed by hospitalized nurses according to medical advice within a specified time. This approach is a time consuming and laborious task in the actual clinical practice of hospitalization management. In addition, certain artificial subjective standard factors exist in the existing measuring tools and means, and the objectivity of data needs to be corrected and continuously observed. In addition, the manual acquisition method is inefficient, the working intensity of nurses is high, and real-time data support cannot be provided.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a real-time monitoring method and system capable of monitoring patient sign data in real time, periodically collecting patient sign data, further improving the working efficiency of medical staff, reducing the working intensity of medical staff, providing real-time data support, and further improving the diagnosis and nursing efficiency, aiming at the deficiencies of the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme.
A real-time monitoring method based on medical intelligent equipment is realized based on a monitoring system, the monitoring system comprises a data storage subsystem, a physical sign data detection subsystem, a medical care center control subsystem and an information input subsystem, and the monitoring method comprises the following steps: step S1, the information input subsystem is used for filing the patient to be admitted, inputting basic information of the patient and storing the basic information in the data storage subsystem; step S2, collecting the physical sign data of the patient by using the physical sign data detection subsystem, uploading the collected physical sign data to the medical care center control subsystem and storing the collected physical sign data in the data storage subsystem; step S3, the medical care center control subsystem calculates and analyzes the symptoms of the patient and the collected sign data according to a preset model and outputs a model result, generates an analysis trend chart and provides the analysis trend chart for medical care personnel and doctors; in step S4, the patient receives follow-up treatment and care.
Preferably, in step S1, the admitted patient is documented and basic patient information is entered by using a preset HIS system.
Preferably, in step S1, the basic information of the patient includes name, age, weight, height and general physical measurement data.
Preferably, in step S2, the detection devices adopted by the vital sign data detection subsystem include a wearable smart device, a portable smart medical device, and a vital sign measurement smart device.
Preferably, the step S2 includes: distributing wearable intelligent equipment to a patient, establishing association between the wearable intelligent equipment and basic information of the patient, and collecting, managing, disinfecting and cleaning the wearable intelligent equipment after the patient uses the wearable intelligent equipment to collect sign data.
Preferably, in step S2, the patient acquires the vital sign data in real time through the wearable smart device, and uploads the data to the healthcare center control subsystem at regular time.
The utility model provides a real-time monitoring system based on medical smart machine, it is including data storage subsystem, sign data detection subsystem, medical care center control subsystem and information entry subsystem, wherein: the information input subsystem is used for filing the hospitalized patient, inputting basic information of the patient and storing the basic information in the data storage subsystem; the physical sign data detection subsystem is used for collecting physical sign data of a patient, uploading the collected physical sign data to the medical care center control subsystem and storing the collected physical sign data in the data storage subsystem; the medical care center control subsystem is used for calculating and analyzing the symptoms of the patient and the collected sign data according to the preset model and outputting a model result, generating an analysis trend graph and providing the analysis trend graph for medical care personnel and doctors, and further tracking, treating and nursing the patient.
Preferably, the information entry subsystem is a HIS hospital information management system.
Preferably, the sign data detection subsystem comprises a wearable intelligent device, a portable intelligent medical device and a sign measurement intelligent device.
Preferably, the vital sign data collected by the vital sign data detection subsystem is uploaded to the medical care center control subsystem through mobile communication, WiFi communication, NBIoT communication or bluetooth communication.
According to the real-time monitoring method based on the medical intelligent equipment, the patient is monitored based on the medical intelligent equipment in real time, the physical sign data of the patient is periodically collected, the medical center management platform and the working equipment are facilitated to master the physical sign change data of each bed patient in time, and based on the processing mode, on one hand, the problem of overlarge working intensity of medical staff is solved, meanwhile, the working efficiency of the medical staff can be improved, so that the medical staff can work in the mode to provide more comprehensive medical care for the patient; on the other hand, based on the patient sign data acquired by the medical intelligent equipment in real time, combined with professional diagnosis and treatment observation of doctors, a model is established for the patient sign data according to related indexes, combined with big data acquired by continuously wearing the intelligent equipment by a patient and a comprehensive diagnosis and treatment means given by clinical treatment suggestions, and meanwhile, the data result can be predicted and early warned for the patient in real time by using the related model, so that the diagnosis efficiency of the doctors is greatly improved, a timely data analysis basis is provided for the treatment process, and the application requirements are better met.
Drawings
FIG. 1 is a flow chart of a real-time monitoring method based on a medical intelligent device according to the present invention;
fig. 2 is a block diagram of the real-time monitoring system based on the medical intelligent device.
Detailed Description
The invention is described in more detail below with reference to the figures and examples.
The invention discloses a real-time monitoring method based on medical intelligent equipment, which is realized based on a monitoring system as shown in a combined figure 1 and a figure 2, wherein the monitoring system comprises a data storage subsystem 1, a physical sign data detection subsystem 2, a medical care center control subsystem 3 and an information input subsystem 4, and the monitoring method comprises the following steps:
step S1, the information input subsystem 4 is used for filing the patient to be admitted, inputting the basic information of the patient and storing the basic information in the data storage subsystem 1;
step S2, collecting the physical sign data of the patient by using the physical sign data detection subsystem 2, uploading the collected physical sign data to the medical care center control subsystem 3 and storing the collected physical sign data in the data storage subsystem 1;
step S3, the medical care center control subsystem 3 calculates and analyzes the symptoms of the patient and the collected sign data according to a preset model and outputs a model result, generates an analysis trend chart and provides the analysis trend chart for medical care personnel and doctors;
in step S4, the patient receives follow-up treatment and care.
According to the method, the medical intelligent equipment is used for monitoring the physical sign data of the patient in real time, the physical sign data of the patient is periodically collected, the medical center management platform and the working equipment are facilitated to master the physical sign change data of each bed patient in time, and based on the processing mode, on one hand, the problem of overlarge working intensity of medical staff is solved, and meanwhile, the working efficiency of the medical staff can be improved, so that the medical staff can work in the mode to provide more comprehensive medical care for the patient; on the other hand, based on the patient sign data acquired by the medical intelligent equipment in real time, combined with professional diagnosis and treatment observation of doctors, a model is established for the patient sign data according to related indexes, combined with big data acquired by continuously wearing the intelligent equipment by a patient and a comprehensive diagnosis and treatment means given by clinical treatment suggestions, and meanwhile, the data result can be predicted and early warned for the patient in real time by using the related model, so that the diagnosis efficiency of the doctors is greatly improved, a timely data analysis basis is provided for the treatment process, and the application requirements are better met.
In step S1, the admitted patient is preferably documented and basic patient information is entered using a preset HIS system.
Further, in step S1, the basic information of the patient includes name, age, weight, height and general physical measurement data.
The medical intelligent device in this embodiment may be portable or wearable, and specifically, in step S2, the detection device adopted by the vital sign data detection subsystem 2 includes the wearable intelligent device 20, the portable intelligent medical device 21, and the vital sign measurement intelligent device 22.
When the wearable device is adopted, in this embodiment, the step S2 includes: distributing a wearable intelligent device 20 to a patient, establishing association between the wearable intelligent device 20 and basic information of the patient, and collecting, managing and disinfecting the wearable intelligent device 20 after the patient uses the wearable intelligent device 20 to collect sign data.
Further, in step S2, the patient acquires the vital sign data in real time through the wearable smart device 20, and uploads the data to the healthcare center control subsystem 3 at regular time.
The real-time monitoring method based on the medical intelligent equipment, disclosed by the invention, can continuously correct the data model for monitoring and observing on the premise of accumulating a certain amount of large data scale, so that possible negligence in the aspects of manual statistics, calculation, analysis and result trend graph subjectivity of medical staff is improved. Meanwhile, a more professional and deep data support is provided for the specialty of the improved equipment, and requirements and references are provided for research and development of medical intelligent wearable equipment and equipment. In the practical process, a doctor establishes connection and a model by combining with other detection result data of the HIS system to the relevant factors of the change of the conventional sign data, and discovers the change of the patient body in different time periods through the monitoring process, so that the doctor can discover the root cause of the patient disease more effectively and accurately and provide a more effective treatment scheme.
In order to better describe the technical scheme of the present invention, the present invention further discloses a real-time monitoring system based on a medical intelligent device, please refer to fig. 2, which includes a data storage subsystem 1, a physical sign data detection subsystem 2, a medical care center control subsystem 3 and an information entry subsystem 4, wherein:
the information input subsystem 4 is used for filing the patient to be admitted, inputting basic information of the patient and storing the basic information in the data storage subsystem 1;
the physical sign data detection subsystem 2 is used for collecting physical sign data of a patient, uploading the collected physical sign data to the medical care center control subsystem 3 and storing the collected physical sign data in the data storage subsystem 1;
the medical care center control subsystem 3 is used for calculating and analyzing the symptoms of the patient and the collected sign data according to a preset model and outputting a model result, generating an analysis trend graph and providing the analysis trend graph for medical care personnel and doctors, and further tracking, treating and nursing the patient.
In the system, the medical intelligent equipment is systematically managed, all the intelligent wearable equipment are reasonably numbered and matched with the corresponding sickbeds after being started, the information of the equipment is automatically initialized after being used by a patient, and the equipment is not directly associated with the patient but is associated through an HIS (health information system) and an equipment management system. Meanwhile, the medical care center provides professional equipment cleaning and disinfecting work, so that the recycling of the equipment is ensured. In addition, the equipment develops a control system based on a low-power-consumption Bluetooth chip or develops an intelligent operating system based on a network chip, and functionally associates data of the equipment and the patient with the UID characteristic value of the equipment, so that the patient can conveniently seek medical treatment and conveniently provide characteristic data and receive nursing of a hospital during wearing.
In practical application, the information input subsystem 4 is an HIS hospital information management system.
Preferably, the vital sign data detection subsystem 2 includes a wearable smart device 20, a portable smart medical device 21, and a vital sign measurement smart device 22.
The invention preferably uploads data in a wireless communication mode, in particular, the physical sign data acquired by the physical sign data detection subsystem 2 is uploaded to the medical care center control subsystem 3 in a mobile communication mode, a WiFi communication mode, an NBIoT communication mode or a Bluetooth communication mode.
The invention discloses a real-time monitoring method and a system based on medical intelligent equipment, which can refer to the following embodiments in the practical application process:
example one
In this embodiment, the process based on the real-time monitoring mode of the medical intelligent wearable device mainly includes:
step 1, filing a patient admission HIS system, and associating basic information of the patient of the HIS system by a medical care center control system, wherein the basic information mainly comprises name, age, weight, height and conventional physical sign measurement data;
step 5, the wearable intelligent device performs model calculation and analysis on the sign data according to the symptoms to output a model result, and provides an analysis trend graph for medical staff and doctors to use;
step 6, setting an abnormal early warning and abnormal handling broadcast, carrying out platform centralized management, and providing a data viewing function, a report form and event tracking of the mobile terminal;
and 7, using and returning the intelligent equipment, cleaning and disinfecting, and managing the equipment.
In combination with the actual application scenario, the system framework capable of implementing the method mainly comprises:
the intelligent equipment control platform develops a corresponding data set field by combining the requirements of the physical sign data to store and analyze the physical sign data;
secondly, performing initialization control, equipment state setting, message broadcast setting, abnormal state automatic check and equipment management list on the equipment;
thirdly, the Bluetooth gateway and other wireless network equipment are integrated and developed, networking and centralized operation and maintenance of the wearable intelligent equipment are carried out through the Bluetooth gateway and other wireless network equipment, and meanwhile, a console program collects patient sign data of each wearable intelligent equipment from the Bluetooth gateway and other wireless network equipment at regular time and writes the patient sign data into a database for storage;
fourthly, the nurse station console system acquires data from the acquired database, displays the data on a console system interface, can be integrated with a hospital HIS system, and writes sign data fields correspondingly;
and fifthly, a big data analysis tool and a data abnormity monitoring and early warning tool.
In the real-time monitoring method and the system based on the medical intelligent equipment, the specific type of the equipment is defined from clinical requirements, and the medical intelligent wearable equipment is defined and comprises four aspects of general characteristic monitoring medical wearable equipment, professional characteristic monitoring medical wearable equipment and special disease medical intelligent equipment, and mainly comprises three aspects of medical grade requirements, wearability and intellectualization. Meanwhile, the medical intelligent wearable device is a mainstream communication mode based on mobile communication, WiFi communication, NBIoT and Bluetooth communication, and integrates medical grade professional sensors used for sign acquisition, wherein the medical grade professional sensors mainly comprise a thermosensitive sensor, a photoelectric heart rate sensor, a galvanic sensor, an ECG, a PPG, a gyroscope sensor for posture correction, a micro motor, a wearable air bag and the like. Therefore, the basic device can be worn on the wrist, organ parts and other products.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents or improvements made within the technical scope of the present invention should be included in the scope of the present invention.
Claims (10)
1. A real-time monitoring method based on medical intelligent equipment is characterized in that the monitoring method is realized based on a monitoring system, the monitoring system comprises a data storage subsystem (1), a physical sign data detection subsystem (2), a medical care center control subsystem (3) and an information input subsystem (4), and the monitoring method comprises the following steps:
step S1, the information input subsystem (4) is used for filing the patient to be admitted, inputting basic information of the patient and storing the basic information in the data storage subsystem (1);
step S2, collecting the physical sign data of the patient by using the physical sign data detection subsystem (2), uploading the collected physical sign data to the medical care center control subsystem (3) and storing the collected physical sign data in the data storage subsystem (1);
step S3, the medical care center control subsystem (3) calculates and analyzes the symptoms of the patient and the collected sign data according to a preset model and outputs a model result, generates an analysis trend graph and provides the analysis trend graph for medical care personnel and doctors;
in step S4, the patient receives follow-up treatment and care.
2. The method for real-time monitoring based on medical intelligent device as claimed in claim 1, wherein in step S1, the admitted patient is documented and basic information of the patient is entered by using a preset HIS system.
3. The medical intelligent device-based real-time monitoring method according to claim 1, wherein in the step S1, the patient basic information includes name, age, weight, height and general physical sign measurement data.
4. The medical smart device-based real-time monitoring method as claimed in claim 1, wherein in step S2, the detection devices adopted by the vital sign data detection subsystem (2) include a wearable smart device (20), a portable smart medical device (21), and a vital sign measurement smart device (22).
5. The medical intelligent device-based real-time monitoring method according to claim 4, wherein the step S2 includes: the method comprises the steps of allocating a wearable intelligent device (20) to a patient, establishing association between the wearable intelligent device (20) and basic information of the patient, and collecting, managing and disinfecting and cleaning the wearable intelligent device (20) after the patient uses the wearable intelligent device (20) to collect sign data.
6. The medical smart device-based real-time monitoring method according to claim 5, wherein in step S2, the patient acquires the physical sign data in real time through the wearable smart device (20) and uploads the data to the healthcare center control subsystem (3) at regular time.
7. The utility model provides a real-time monitoring system based on medical smart machine which characterized in that, including data storage subsystem (1), sign data detection subsystem (2), medical care center control subsystem (3) and information entry subsystem (4), wherein:
the information input subsystem (4) is used for filing the hospitalized patient, inputting basic information of the patient and storing the basic information in the data storage subsystem (1);
the physical sign data detection subsystem (2) is used for collecting physical sign data of a patient, uploading the collected physical sign data to the medical care center control subsystem (3) and storing the collected physical sign data in the data storage subsystem (1);
the medical care center control subsystem (3) is used for calculating and analyzing the symptoms of the patient and the collected sign data according to a preset model and outputting a model result, generating an analysis trend graph and providing the analysis trend graph for medical care personnel and doctors, and then tracking, treating and nursing the patient.
8. The medical intelligence device based real-time monitoring system as claimed in claim 7, wherein the information entry subsystem (4) is a HIS hospital information management system.
9. The medical smart device-based real-time monitoring system according to claim 7, wherein the vital sign data detection subsystem (2) comprises a wearable smart device (20), a portable smart medical device (21) and a vital sign measurement smart device (22).
10. The medical smart device-based real-time monitoring system according to claim 9, wherein the vital sign data collected by the vital sign data detection subsystem (2) is uploaded to the medical center control subsystem (3) by mobile communication, WiFi communication, NBIoT communication or bluetooth communication.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010852752.6A CN112086151A (en) | 2020-08-22 | 2020-08-22 | Real-time monitoring method and system based on medical intelligent equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010852752.6A CN112086151A (en) | 2020-08-22 | 2020-08-22 | Real-time monitoring method and system based on medical intelligent equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112086151A true CN112086151A (en) | 2020-12-15 |
Family
ID=73729684
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010852752.6A Withdrawn CN112086151A (en) | 2020-08-22 | 2020-08-22 | Real-time monitoring method and system based on medical intelligent equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112086151A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012802A (en) * | 2021-03-10 | 2021-06-22 | 武昌理工学院 | Wearable intelligent hospital admission monitoring method and system |
-
2020
- 2020-08-22 CN CN202010852752.6A patent/CN112086151A/en not_active Withdrawn
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012802A (en) * | 2021-03-10 | 2021-06-22 | 武昌理工学院 | Wearable intelligent hospital admission monitoring method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20110288379A1 (en) | Body sign dynamically monitoring system | |
CN105411554A (en) | Wireless non-invasive human physiological parameter collection, detection and intelligent diagnosis system | |
CN110916647A (en) | Wearable electrocardio monitoring and arrhythmia remote real-time diagnosis device facing multiple scenes | |
CN105160155A (en) | Medical information network sharing system | |
Kim et al. | Ubiquitous healthcare system for analysis of chronic patients’ biological and lifelog data | |
CN105472013A (en) | Remote physiological data collection method and system | |
Kozlovszky et al. | Cardiovascular and diabetes focused remote patient monitoring | |
CN204744132U (en) | Long -range health detection and service system | |
CN112086151A (en) | Real-time monitoring method and system based on medical intelligent equipment | |
CN117238466B (en) | Nursing intelligent information management system for realizing multistage linkage resource interaction | |
CN208388918U (en) | Portable movable care platform based on Intellisense | |
CN111180059B (en) | 5G network-based remote medical monitoring system | |
CN108520623A (en) | A kind of healthcare system | |
CN113012823A (en) | Cloud platform system for electrocardiograph | |
CN112951391A (en) | Intelligent nursing monitoring | |
CN113057606A (en) | Intelligent old-age-care health monitoring system based on Internet of things | |
JP2019122476A (en) | Vital sensor and monitoring system | |
CN110570932A (en) | Multi-parameter clinical mobile physiological measurement management method and system | |
CN116825337A (en) | Patient safety nursing early warning system | |
CN115844346A (en) | Wireless physical sign parameter monitoring device applied to disease examination, observation and treatment | |
CN109378075A (en) | A kind of wound intelligent evaluation system based on cloud data investigation | |
CN206239403U (en) | A kind of absorption in postoperative patients of cardiac surgery nurses monitor | |
CN204683576U (en) | A kind of electrocardio monitoring monitor device | |
Dogra et al. | Real-Time Health Monitoring and Management: Leveraging the Power of IoT and Machine Learning | |
Ramesh et al. | An intelligent decision support system for enhancing an m-health application |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20230630 Address after: Room 802, No. 3, Haixing Street, Haizhu District, Guangzhou, Guangdong 510000 Applicant after: Chen Yanjun Address before: Room 802, No. 3, Haixing Street, Haizhu District, Guangzhou, Guangdong 510000 Applicant before: Hu Chaoyan |
|
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201215 |