CN110660492A - Dynamic physiological parameter monitoring method, system, monitoring equipment and medium - Google Patents
Dynamic physiological parameter monitoring method, system, monitoring equipment and medium Download PDFInfo
- Publication number
- CN110660492A CN110660492A CN201810685453.0A CN201810685453A CN110660492A CN 110660492 A CN110660492 A CN 110660492A CN 201810685453 A CN201810685453 A CN 201810685453A CN 110660492 A CN110660492 A CN 110660492A
- Authority
- CN
- China
- Prior art keywords
- physiological parameter
- monitoring
- data
- uploading
- parameter data
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 54
- 201000010099 disease Diseases 0.000 claims abstract description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 8
- 238000012806 monitoring device Methods 0.000 claims description 76
- 238000004590 computer program Methods 0.000 claims description 20
- 230000002159 abnormal effect Effects 0.000 claims description 19
- 238000011156 evaluation Methods 0.000 claims description 18
- 238000004891 communication Methods 0.000 claims description 14
- 230000001413 cellular effect Effects 0.000 claims description 12
- 230000036772 blood pressure Effects 0.000 claims description 11
- 206010003119 arrhythmia Diseases 0.000 claims description 6
- 230000006793 arrhythmia Effects 0.000 claims description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 5
- 239000008280 blood Substances 0.000 claims description 5
- 210000004369 blood Anatomy 0.000 claims description 5
- 229910052760 oxygen Inorganic materials 0.000 claims description 5
- 239000001301 oxygen Substances 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 230000036760 body temperature Effects 0.000 claims description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 2
- 230000005856 abnormality Effects 0.000 description 15
- 230000008569 process Effects 0.000 description 15
- 238000005259 measurement Methods 0.000 description 12
- 230000006870 function Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 7
- 230000001133 acceleration Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 230000002861 ventricular Effects 0.000 description 2
- 208000003663 ventricular fibrillation Diseases 0.000 description 2
- 208000001871 Tachycardia Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 208000006218 bradycardia Diseases 0.000 description 1
- 230000036471 bradycardia Effects 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000006794 tachycardia Effects 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention provides a dynamic physiological parameter monitoring method, equipment, a system and a computer readable storage medium, wherein the method comprises the following steps: collecting physiological parameter data of a patient; acquiring running state information of monitoring equipment in real time, and judging whether the monitoring equipment meets a preset trigger condition according to the running state information; and if the preset triggering condition is met, uploading the acquired physiological parameter data to a central monitoring system. The invention can help medical staff to intervene and treat sudden diseases of patients in time.
Description
Technical Field
The invention belongs to the technical field of medical monitoring, and particularly relates to a dynamic physiological parameter monitoring method, a dynamic physiological parameter monitoring system, dynamic physiological parameter monitoring equipment and a computer readable storage medium.
Background
The monitor is mainly used for monitoring physiological data of patients, such as electrocardiosignals, blood pressure signals, blood oxygen signals and the like, and processing and displaying the obtained physiological data for medical personnel to observe and diagnose.
Although the traditional monitor can monitor the physiological parameters of patients, the use of the traditional monitor is single, the traditional monitor is generally limited in a hospital local area network, the collected physiological parameters are generally connected to a server in the hospital, a central station or a hospital information system through wifi or Bluetooth and other communication modes, one monitor is often required to monitor a plurality of patients, only short-time monitoring of the patients can be realized, the requirement for monitoring the patients for a long time cannot be met, therefore, the obtained patient monitoring data is limited, the monitoring data is not complete enough, so that medical staff may have the risk of misdiagnosis, and the requirements for timely obtaining the physiological data of the patients and accurately judging the conditions of the patients according to the physiological parameters cannot be met.
Although the existing holter for monitoring the data of the electrocardio and the blood pressure can be used by being separated from an internal system of a hospital to monitor 24-hour physiological data of a patient, the prior holter generally wears a monitor for the physiological parameters of the electrocardio or the blood pressure and the like on a human body, acquires the 24-hour physiological data of the human body and then leads out monitoring data for analysis by medical personnel, is only used as acquisition equipment, does not have an alarm function, cannot transmit data in real time in the acquisition process of the physiological parameters, and cannot learn and intervene by the medical personnel in time when the patient has serious sudden illness in the process of wearing the monitor.
Disclosure of Invention
In view of the above, the present invention provides a dynamic physiological parameter monitoring method, system, monitoring device and computer readable storage medium, so as to solve the problems that in the prior art, a monitor is only used as an acquisition device, and does not have an alarm function, and data cannot be transmitted in real time during the physiological parameter acquisition process, and when a serious sudden illness occurs during the process of wearing the monitoring device by a patient, medical staff cannot timely learn and intervene.
The first aspect of the present invention provides a dynamic physiological parameter monitoring method, applied to a monitoring device, wherein the dynamic physiological parameter monitoring method includes:
collecting physiological parameter data of a patient;
acquiring running state information of monitoring equipment in real time, and judging whether the monitoring equipment meets a preset trigger condition according to the running state information;
and if the preset triggering condition is met, uploading the acquired physiological parameter data to a central monitoring system.
In a second aspect, the present invention provides a dynamic physiological parameter monitoring system, comprising:
the acquisition unit is used for acquiring physiological parameter data of a patient;
the judging unit is used for acquiring the running state information of the monitoring equipment in real time and judging whether the monitoring equipment meets the preset triggering condition or not according to the running state information;
and the data uploading unit is used for transmitting the acquired physiological parameter data of the patient to the central monitoring system in a selected data uploading mode.
A third aspect of the invention provides a monitoring device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect when executing the computer program.
A fourth aspect of the invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method according to the first aspect.
The invention has the beneficial effects that:
the monitoring equipment can upload the acquired physiological parameter data of the patient to the central monitoring system when meeting the preset triggering condition according to the running state information of the monitoring equipment in the process of monitoring the physiological parameter of the patient and the hardware state of the monitoring equipment, and can help medical staff at the end of the central monitoring system to intervene and treat sudden diseases of the patient in time.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic external architecture diagram of a monitoring device according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a dynamic physiological parameter monitoring method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a dynamic physiological parameter monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a monitoring device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a schematic external architecture diagram of a monitoring device according to an embodiment of the present invention. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 1, the external architecture of the monitoring device 100 provided in the present embodiment includes a central monitoring system 200, and the monitoring device 100 is communicatively connected to the central monitoring system 200. Wherein the monitored patient data and positioning information is sent by the monitoring device 100 to the central monitoring system 200. The central monitoring system 200 is composed of a cloud server 201, a data center 202 and a monitoring center 203.
The cloud server 201 is configured to receive and store physiological parameter data of a patient, location information of the patient, and abnormality alarm information sent by the monitoring device 100.
The data center 202 is used for storing information of medical records, family members, guardians and medical staff of patients, and the data center 202 can also extract data in the cloud server 201.
The medical staff can view the data in the data center 202 through the monitoring center 203 and can display the data inquired by the patient. The monitoring center 203 can further analyze the acquired physiological data of the patient, warn about life critical situations of abnormal physiological states, notify medical personnel to send voice prompts to the monitoring device 100, and send warnings to the mobile communication devices of the patient, family members or guardians.
Further, the monitoring center 203 may further send the physiological data of the patient, the positioning information of the patient, the medical record, and the information of the family members or the guardians to the emergency hospital center through the data center 202 when the critical situation of the patient is monitored.
Further, when the monitoring device 100 is normally connected to the network, if a sensor falls off, the monitoring center 203 may further send sensor falling-off alarm information and a voice prompt to the central monitoring system 200.
Based on the external architecture diagram of the monitoring device shown in fig. 1, the following describes in detail the dynamic physiological parameter monitoring method provided by the embodiment of the present invention with reference to specific embodiments:
fig. 2 shows a flow of implementing the dynamic physiological parameter monitoring method according to the embodiment of the present invention, and in the embodiment shown in fig. 2, the main execution body of the flow is the monitoring device 100 in fig. 1. The implementation process of the method is detailed as follows:
step S201, collecting physiological parameter data of a patient.
The physiological parameter data comprises at least one of heart rate parameter information, blood pressure parameter information, body temperature parameter information, respiratory parameter information, pulse rate parameter information and blood oxygen parameter information.
Further, for blood pressure data acquisition, the monitoring device 100 supports the labeling of abnormal measurement data, and if a certain amplitude of motion of the patient is detected during the blood pressure data measurement process, provides a motion label for the measurement value.
Further, for the acquisition of blood pressure data, the monitoring device 100 supports the setting of the measurement time in segments, for example, 24 hours can be divided into two measurement time segments, and different measurement starting time points and measurement ending time points are set respectively. This way, partial times with large fluctuations in blood pressure can be eliminated. The guardian of the patient can set the blood pressure acquisition time period according to the suggestion of the qualified clinical expert.
Step S202, acquiring running state information of monitoring equipment in real time, and judging whether the monitoring equipment meets a preset trigger condition according to the running state information; if the preset trigger condition is satisfied, the process proceeds to step S203.
In this embodiment, the determining whether the monitoring device meets the preset trigger condition according to the running state information includes:
monitoring whether the monitoring equipment receives a help seeking instruction in real time; or monitoring whether the monitoring equipment generates abnormal alarms or not in real time, wherein the abnormal alarms comprise equipment abnormal alarms and/or physiological parameter abnormal alarms; or monitoring that the monitoring equipment meets the preset timing trigger condition in real time.
Step S203, uploading the acquired physiological parameter data to a central monitoring system.
Preferably, in this embodiment, after the monitoring device is determined to meet the preset trigger condition, the method further includes:
judging whether the communication state of the monitoring equipment is normal or not; the communication state comprises a WIFI connection state and/or a cellular data connection state;
if the physiological parameter information is normal, uploading the physiological parameter information to a central monitoring system;
and if the monitoring equipment is abnormal, establishing communication connection between the monitoring equipment and the central monitoring system.
In this embodiment, a wifi module is disposed in the monitoring device 100, and the wifi module can receive a network signal in the wireless lan, and acquire or upload information to the central monitoring system 200.
In this embodiment, the monitoring device 100 is further provided with a cellular data module, the cellular data module includes but is not limited to GSM, GPRS, 3G, 4G modules, and the cellular data module is connected with the central monitoring system 200 through wireless communication. The monitoring device 100 will switch the communication mode to the cellular data network upon detecting that the wifi network is not available.
Preferably, in this embodiment, the dynamic physiological parameter monitoring method further includes:
triggering detection of all non-continuous physiological parameters;
acquiring continuous physiological parameter data and discontinuous physiological parameter data at the current moment in real time;
and uploading the acquired physiological parameter data to the central monitoring system.
Preferably, in this embodiment, the uploading the acquired physiological parameter data to the central monitoring system includes: performing data analysis on the obtained continuous physiological parameter data and the obtained discontinuous physiological parameter data to obtain corresponding evaluation results, wherein the evaluation results comprise evaluation categories and evaluation grades; uploading corresponding physiological parameter data and evaluation results to a central monitoring system according to different evaluation categories and/or evaluation levels; the evaluation categories comprise life type alarm, arrhythmia type alarm, parameter overrun alarm and parameter abnormity alarm; the evaluation levels include medium level alarms and high level alarms.
Preferably, in this embodiment, the continuous physiological parameter data is one or more of a body temperature parameter, a respiration parameter, a heart rate parameter, a blood oxygen parameter, and a pulse rate parameter; the discontinuous parameter data is a blood pressure parameter.
Preferably, in this embodiment, when a preset trigger condition is met, the various physiological parameter data are sequentially uploaded to the central monitoring system according to priorities preset for the various physiological parameter data; alternatively, the first and second electrodes may be,
when a preset triggering condition occurs, determining the priority of various physiological parameter data according to medical record information of a patient, which is pre-recorded in the monitoring equipment, and sequentially uploading various physiological parameter data to the central monitoring system according to the priority; the medical record information comprises a corresponding relation between physiological parameter abnormity and severity of disease; the higher the severity of the disease, the higher the priority of uploading the corresponding physiological parameter data.
Preferably, in this embodiment, the uploading the acquired physiological parameter data to the central monitoring system specifically includes:
if the network communication state of the monitoring equipment is that a wifi network is available, uploading the acquired physiological parameter data to a central monitoring system through the wif network;
and if the network communication state of the monitoring equipment is that the WiFi network is unavailable and the cellular data network is available, uploading the acquired physiological parameter data to the central monitoring system through the cellular network.
After monitoring the patient data, the monitoring device 100 uploads the patient data to the central monitoring system 200 through the wifi network or the cellular data network when the wifi network or the cellular data network is available. The central monitoring system 200 receives and stores the patient data uploaded by the monitoring device 100 through the wifi network through the cloud server 201, the data center 202 extracts the patient data stored by the cloud server 201, analyzes the patient data, generates corresponding monitoring information, and sends the monitoring information to the monitoring center 203 for displaying.
Preferably, in this embodiment, after receiving the physiological parameter data of the patient, the central monitoring system may further generate corresponding monitoring information according to the acquired physiological parameter data, and send the monitoring information to the terminal bound to the monitoring device. Thus, multi-point monitoring inside and outside the hospital can be realized.
In this embodiment, the help seeking instruction is an instruction input by a help seeking button arranged on the monitoring device 100 when the patient feels uncomfortable, and the monitoring device triggers data uploading when receiving the help seeking instruction. The help instruction triggered event includes but is not limited to: and starting measurement of all discontinuous parameters, and uploading all effective parameter measurement data monitored in preset time before and after the trigger time, wherein the effective parameter measurement data comprises electrocardiographic waveforms in the preset time before and after the trigger time.
The abnormal alarm triggering is triggered when the monitoring device 100 monitors an abnormal condition. Exceptions that may be triggered include: device abnormalities and physiological parameter abnormalities.
In this embodiment, the monitoring device may monitor hardware state information of the monitoring device in real time while collecting physiological data of a patient, where the hardware state information includes at least one of device acceleration information, device remaining power information, and sensor state information, and may analyze the hardware state information and the physiological parameter data to obtain abnormality alarm information and execute a corresponding abnormality triggering operation. The abnormal alarm information comprises equipment abnormal alarm information and/or physiological abnormal alarm information.
Further, the device abnormality alarm triggers include, but are not limited to, a fall alarm, a low battery alarm, and a sensor fall alarm. The physiological parameter abnormality includes but is not limited to a vital abnormality, an arrhythmia abnormality, a parameter overrun, a parameter abnormality, and the like.
Further, the device abnormality alarm information includes, but is not limited to, patient fall alarm information, low power alarm information, and sensor falling alarm information.
Wherein, the falling alarm is used for alarming and prompting when the acceleration sensor detects that the patient falls to a certain degree. When the acceleration magnitude and the acceleration direction detected by the acceleration sensor meet preset requirements, the patient is indicated to have a certain falling action, and corresponding falling alarm information is generated at the moment.
The low power alarm is to alarm when the power of the monitoring device 100 is detected to be smaller than a preset threshold. The preset threshold may be set according to an empirical threshold. Optionally, the preset threshold is 5%, 10%, or 20% of the total battery capacity of the monitoring device 100. Preferably, in this embodiment, the preset threshold is 10% of the total battery capacity of the monitoring device 100.
Wherein, various data acquisition sensors are arranged in the monitoring device 100. A corresponding sensor falling detection circuit is provided for each sensor in the monitoring device 100, and when a certain sensor is detected to fall, corresponding sensor falling alarm information can be generated.
Further, the physiological abnormality alarm trigger includes, but is not limited to, a life alarm, an arrhythmia alarm, a parameter overrun alarm, and a parameter abnormality alarm.
Wherein, life class alarm information includes: alarms occurred at rest, ventricular fibrillation/ventricular velocity, SpO2 low saturation time.
Arrhythmia alarms are alarms of abnormal moments of the frequency, rhythm, site of origin, conduction velocity, or activation sequence of cardiac impulses, including tachycardia and bradycardia alarms.
The parameter overrun alarm is an alarm at the moment when the physiological parameter is higher or lower than a preset threshold value;
a parameter abnormality alarm is an alarm that encompasses all physiological parameter abnormalities, including but not limited to vital alarms, arrhythmia alarms, and parameter overrun alarms.
Further, when the alarm information is detected, uploading the alarm content includes: alarm information type, alarm time parameter value, and physiological data in time periods before and after the alarm time. Optionally, data of 6S-32S before and after the alarm time is uploaded, and preferably, blood oxygen, respiration and electrocardio parameter data of 8S before and after the alarm time is uploaded. The alarm information category comprises; alarm name, alarm level. The alarm names include stop, ventricular fibrillation/ventricular velocity, SpO2 low saturation, etc. The alarm level is high-level alarm and middle-level alarm.
The monitoring device 100 is provided with an alarm device which can provide part of local alarm or prompt. The alarm device includes, but is not limited to, a voice alarm device, an alarm device such as an LED, a buzzer, etc., and the monitoring device 100. The local alarm function provided by the monitoring device 100 may be set by the user. For example: in a preferred implementation, the local alarm functions provided by the monitoring device 100 may include a sensor-out alarm, a low-battery alarm, and the like.
The timing trigger is to automatically trigger data uploading when the specified data uploading time is reached. For timed triggered uploads, the upload data volume and upload time may be selected. The selection of the data amount comprises: selecting monitoring data of a fixed measurement time period, for example, selecting and uploading monitoring data between 7:00 and 9:00 every day; alternatively, fixed duration monitoring data is selected, such as: uploading of monitoring data within 12, 24 or 36 hours is selected. The selection of the upload time comprises: uploading every fixed time period or uploading at a fixed time.
Preferably, in this embodiment, if it is determined that an event meeting a preset trigger condition occurs, all physiological parameter information of the patient detected within a preset time period before and after the trigger condition is met is uploaded to the central monitoring system through the wifi network or the cellular data network.
In this embodiment, when detecting an event that a preset trigger condition occurs, the monitoring device 100 triggers detection of all discontinuous parameters, uploads measurement data of all effective parameters within a preset time period before and after a trigger time, including electrocardiographic waveforms within the preset time period before and after the trigger time, and simultaneously, the monitoring device 100 alarms to send a help signal to surrounding people.
Preferably, the dynamic physiological parameter monitoring method further comprises:
the physiological parameter data is uploaded to the central monitoring system 200, and simultaneously, the current location information of the monitoring device 100 is acquired, and the current location information of the monitoring device 100 and the physiological parameter data are uploaded to the central monitoring system 200 together.
In this embodiment, the current location information of the monitoring device 100 may be GPS positioning information of the monitoring device 100, or may be AP positioning information of wifi connection of the monitoring device 100. When data is uploaded by manual triggering, abnormal triggering or help seeking instruction triggering, the current position information of the monitoring device 100 is uploaded to the central monitoring system 200, and the central monitoring system 200 notifies the relevant terminal 300 of the emergency and the current position information of the patient, so that the family members, guardians or medical staff of the patient at the terminal 300 can find the patient in time and the patient can be rescued.
As can be seen from the above, the dynamic physiological parameter monitoring method provided in this embodiment enables the monitoring device to select a data uploading manner according to the communication connection state between the monitoring device and the central monitoring system in the process of monitoring the physiological parameters of the patient and the hardware state of the monitoring device; the acquired physiological parameter data of the patient is transmitted to a central monitoring system in a selected data uploading mode, so that the central monitoring system generates corresponding monitoring information for the acquired data and transmits the monitoring information to a terminal bound with the monitoring equipment, thereby helping medical personnel to carry out intervention treatment on sudden diseases of the patient to the maximum extent and ensuring the requirements of multi-point monitoring inside and outside the hospital.
Fig. 3 is a schematic structural diagram of a dynamic physiological parameter monitoring system according to an embodiment of the present invention. Only the portions related to the present embodiment are shown for convenience of explanation.
Referring to fig. 3, the dynamic physiological parameter monitoring system provided in this embodiment includes:
an acquisition unit 31 for acquiring physiological parameter data of a patient;
the judging unit 32 is configured to obtain running state information of the monitoring device in real time, and judge whether the monitoring device meets a preset trigger condition according to the running state information;
and the data uploading unit 33 is used for sending the acquired physiological parameter data of the patient to the central monitoring system in a selected data uploading mode.
It should be noted that the monitoring device provided in this embodiment and the dynamic physiological parameter monitoring method in the foregoing embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments, and technical features in the method embodiments are all correspondingly applicable in this embodiment, and are not described herein again.
Therefore, it can be seen that the monitoring device 100 provided in this embodiment can also select a data uploading manner according to the communication connection state between the monitoring device and the central monitoring system in the process of monitoring the physiological parameter of the patient and the hardware state of the monitoring device; the acquired physiological parameter data of the patient is transmitted to a central monitoring system in a selected data uploading mode, so that the central monitoring system generates corresponding monitoring information for the acquired data and transmits the monitoring information to a terminal bound with the monitoring equipment, thereby helping medical personnel to carry out intervention treatment on sudden diseases of the patient to the maximum extent and ensuring the requirements of multi-point monitoring inside and outside the hospital.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 4 is a schematic structural diagram of the monitoring device 100 according to the embodiment of the present invention. As shown in fig. 4, the monitoring apparatus 100 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in said memory 41 and executable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the various method embodiments described above, such as the steps S201 to S206 shown in fig. 2. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 101 to 106 shown in fig. 3.
Illustratively, the computer program 42 may be divided into one or more units, which are stored in the memory 41 and executed by the processor 40 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the monitoring device 100. For example, the computer program 42 may be divided into the acquiring unit 31, the determining unit 32 and the data uploading unit 33, and each unit specifically functions as follows:
an acquisition unit 31 for acquiring physiological parameter data of a patient;
the judging unit 32 is configured to obtain running state information of the monitoring device in real time, and judge whether the monitoring device meets a preset trigger condition according to the running state information;
and the data uploading unit 33 is used for sending the acquired physiological parameter data of the patient to the central monitoring system in a selected data uploading mode.
The monitoring device 100 may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of the monitoring device 100 and does not constitute a limitation of the monitoring device 100 and may include more or less components than those shown, or combine certain components, or different components, e.g., the terminal may also include input-output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the monitoring device 100, such as a hard disk or a memory of the monitoring device 100. The memory 41 may also be an external storage device of the monitoring device 100, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the monitoring device 100. Further, the memory 41 may also include both an internal storage unit and an external storage device of the monitoring device 100. The memory 41 is used for storing the computer program and other programs and data required by the terminal. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing functional units and modules are merely illustrated in terms of division, and in practical applications, the foregoing functional allocation may be performed by different functional units and modules as needed, that is, the internal structure of the monitoring device 100 is divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed monitoring device 100/terminal device and method may be implemented in other ways. For example, the above-described embodiment of the monitoring device 100/terminal device is merely illustrative, for example, the division of the modules or units is only one logical function division, and there may be other division manners in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, and the monitoring device 100 or unit may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity capable of carrying said computer program code or monitoring device 100, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, software distribution medium or the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (12)
1. A dynamic physiological parameter monitoring method is applied to monitoring equipment and is characterized by comprising the following steps:
collecting physiological parameter data of a patient;
acquiring running state information of monitoring equipment in real time, and judging whether the monitoring equipment meets a preset trigger condition according to the running state information;
and if the preset triggering condition is met, uploading the acquired physiological parameter data to a central monitoring system.
2. The dynamic physiological parameter monitoring method according to claim 1, further comprising, after determining that the monitoring device satisfies a predetermined trigger condition: judging whether the communication state of the monitoring equipment is normal or not; the communication state comprises a WIFI connection state and/or a cellular data connection state;
if the physiological parameter information is normal, uploading the physiological parameter information to a central monitoring system;
and if the monitoring equipment is abnormal, establishing communication connection between the monitoring equipment and the central monitoring system.
3. The dynamic physiological parameter monitoring method according to claim 1, wherein the determining whether the monitoring device satisfies a preset trigger condition according to the operating status information includes:
monitoring whether the monitoring equipment receives a help seeking instruction in real time; or monitoring whether the monitoring equipment generates abnormal alarms or not in real time, wherein the abnormal alarms comprise equipment abnormal alarms and/or physiological parameter abnormal alarms; or monitoring that the monitoring equipment meets the preset timing trigger condition in real time.
4. The ambulatory physiological parameter monitoring method according to claim 1, further comprising: triggering detection of all non-continuous physiological parameters; acquiring continuous physiological parameter data and discontinuous physiological parameter data at the current moment in real time;
and uploading the acquired physiological parameter data to the central monitoring system.
5. The dynamic physiological parameter monitoring method according to claim 3, wherein uploading the acquired physiological parameter data to a central monitoring system further comprises: performing data analysis on the obtained continuous physiological parameter data and the obtained discontinuous physiological parameter data to obtain corresponding evaluation results, wherein the evaluation results comprise evaluation categories and evaluation grades; uploading corresponding physiological parameter data and evaluation results to a central monitoring system according to different evaluation categories and/or evaluation levels; the evaluation categories comprise life type alarm, arrhythmia type alarm, parameter overrun alarm and parameter abnormity alarm; the evaluation levels include medium level alarms and high level alarms.
6. The dynamic physiological parameter monitoring method according to claim 3, wherein the continuous physiological parameter data is one or more of a body temperature parameter, a respiration parameter, a heart rate parameter, a blood oxygen parameter, and a pulse rate parameter; the discontinuous parameter data is a blood pressure parameter.
7. The method of claim 1, wherein uploading the acquired physiological parameter data to the central monitoring system comprises:
when a preset triggering condition is met, sequentially uploading various physiological parameter data to the central monitoring system according to priorities preset for the various physiological parameter data; alternatively, the first and second electrodes may be,
when a preset triggering condition occurs, determining the priority of various physiological parameter data according to medical record information of a patient, which is pre-recorded in the monitoring equipment, and sequentially uploading various physiological parameter data to the central monitoring system according to the priority; the medical record information comprises a corresponding relation between physiological parameter abnormity and severity of disease; the higher the severity of the disease, the higher the priority of uploading the corresponding physiological parameter data.
8. The ambulatory physiological parameter monitoring method according to claim 1, further comprising:
and uploading the physiological parameter information of the patient to the central monitoring system, acquiring the current position information of the monitoring equipment, and uploading the current position information of the monitoring equipment and the physiological parameter information of the patient to the central monitoring system.
9. The method of claim 1, wherein uploading the acquired physiological parameter data to the central monitoring system comprises: and uploading all the physiological parameter information of the patient detected within a preset time period before and after the triggering condition is met to the central monitoring system through the wifi network or the cellular data network.
10. A dynamic physiological parameter monitoring system, comprising:
the acquisition unit is used for acquiring physiological parameter data of a patient;
the judging unit is used for acquiring the running state information of the monitoring equipment in real time and judging whether the monitoring equipment meets the preset triggering condition or not according to the running state information;
and the data uploading unit is used for transmitting the acquired physiological parameter data of the patient to the central monitoring system in a selected data uploading mode.
11. A monitoring device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810685453.0A CN110660492A (en) | 2018-06-28 | 2018-06-28 | Dynamic physiological parameter monitoring method, system, monitoring equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810685453.0A CN110660492A (en) | 2018-06-28 | 2018-06-28 | Dynamic physiological parameter monitoring method, system, monitoring equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110660492A true CN110660492A (en) | 2020-01-07 |
Family
ID=69026162
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810685453.0A Pending CN110660492A (en) | 2018-06-28 | 2018-06-28 | Dynamic physiological parameter monitoring method, system, monitoring equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110660492A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111263426A (en) * | 2020-01-20 | 2020-06-09 | 广东工贸职业技术学院 | Remote monitoring method and system |
| CN111617354A (en) * | 2020-05-29 | 2020-09-04 | 北京无线电测量研究所 | Work state monitoring method of breathing machine, breathing machine and computer equipment |
| WO2024032811A1 (en) * | 2022-08-12 | 2024-02-15 | 深圳迈瑞生物医疗电子股份有限公司 | Life information processing system and life information processing method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969471A (en) * | 2010-10-29 | 2011-02-09 | 江苏瑞蚨通软件科技有限公司（中外合资） | Remote transmission self-networking household medical monitoring system |
| CN102005111A (en) * | 2009-09-02 | 2011-04-06 | 中国科学院沈阳自动化研究所 | Wireless remote physiological signal monitoring and processing system and control method thereof |
| CN105678092A (en) * | 2016-02-01 | 2016-06-15 | 中国人民解放军第三军医大学第三附属医院 | Internet-of-things based intelligent alarm management system for intensive care |
-
2018
- 2018-06-28 CN CN201810685453.0A patent/CN110660492A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005111A (en) * | 2009-09-02 | 2011-04-06 | 中国科学院沈阳自动化研究所 | Wireless remote physiological signal monitoring and processing system and control method thereof |
| CN101969471A (en) * | 2010-10-29 | 2011-02-09 | 江苏瑞蚨通软件科技有限公司（中外合资） | Remote transmission self-networking household medical monitoring system |
| CN105678092A (en) * | 2016-02-01 | 2016-06-15 | 中国人民解放军第三军医大学第三附属医院 | Internet-of-things based intelligent alarm management system for intensive care |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111263426A (en) * | 2020-01-20 | 2020-06-09 | 广东工贸职业技术学院 | Remote monitoring method and system |
| CN111617354A (en) * | 2020-05-29 | 2020-09-04 | 北京无线电测量研究所 | Work state monitoring method of breathing machine, breathing machine and computer equipment |
| WO2024032811A1 (en) * | 2022-08-12 | 2024-02-15 | 深圳迈瑞生物医疗电子股份有限公司 | Life information processing system and life information processing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105659239B (en) | Assess the associated system and method between wireless sensor and monitored patient | |
| EP2944251A1 (en) | Method, apparatus and computer-readable medium for confidence level determination of ambulatory hr algorithm based on a three-way rhythm classifier | |
| CN105411554A (en) | Wireless non-invasive human physiological parameter collection, detection and intelligent diagnosis system | |
| WO2016161152A1 (en) | Wearable cardiac elecrophysiology measurement devices, software, systems and methods | |
| CN104490388A (en) | Extensible human health remote recording, monitoring and diagnosis system | |
| EP2948880A1 (en) | Smart mobile health monitoring system and related methods | |
| KR20080085205A (en) | Method and apparatus for remote mobile monitoring electronic physiological data based on wan | |
| CN109171686B (en) | Wearable medical equipment of intelligence and portable real-time supervision system of family | |
| Leijdekkers et al. | Personal heart monitoring system using smart phones to detect life threatening arrhythmias | |
| CN204336910U (en) | A kind of extendible health remote logging, monitoring and diagnostic system | |
| CN110660492A (en) | Dynamic physiological parameter monitoring method, system, monitoring equipment and medium | |
| US20200297283A1 (en) | Statistical display method for physiological parameter of monitoring apparatus, and monitoring apparatus | |
| AU2023233112A1 (en) | Process and system for collecting, storing, analyzing and visualizing electrocardiographic data (ecg) in real time | |
| Kozlovszky et al. | Cardiovascular and diabetes focused remote patient monitoring | |
| CN109937456B (en) | Patient monitoring system and method configured to suppress alarms | |
| CN104545879A (en) | Wireless monitoring system | |
| CN109700443A (en) | Wearable device, emergency call system and method | |
| Selvathi et al. | Embedded based automatic heart attack detector and intimator | |
| RU75145U1 (en) | TELEMETRIC COMPLEX FOR MONITORING AND DIAGNOSTICS OF FUNCTIONAL STATE OF HUMAN | |
| CN113598725A (en) | Wearable wireless health monitoring system for pets | |
| CN111728601A (en) | Wearable monitoring system | |
| KR20130082878A (en) | Bio-signal transfer device, bio-signal monitoring system and method using thereof | |
| CN209733985U (en) | Wireless 12-lead dynamic electrocardiogram real-time monitor | |
| CN112022116A (en) | Patient condition nursing monitoring system based on intelligent wearable watch | |
| RU2445916C2 (en) | Method of prehospital examination of functional state of individual and automatic system for functional state of user (versions) |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200107 |