CN114628049A - Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions - Google Patents

Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions Download PDF

Info

Publication number
CN114628049A
CN114628049A CN202210514326.0A CN202210514326A CN114628049A CN 114628049 A CN114628049 A CN 114628049A CN 202210514326 A CN202210514326 A CN 202210514326A CN 114628049 A CN114628049 A CN 114628049A
Authority
CN
China
Prior art keywords
data
patient
time
information
heart rate
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
Application number
CN202210514326.0A
Other languages
Chinese (zh)
Inventor
黎贵玲
蹇平
王峰涛
李俊达
李言刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Danyuan Medical Technology Hangzhou Co ltd
Original Assignee
Danyuan Medical Technology Hangzhou Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Danyuan Medical Technology Hangzhou Co ltd filed Critical Danyuan Medical Technology Hangzhou Co ltd
Priority to CN202210514326.0A priority Critical patent/CN114628049A/en
Publication of CN114628049A publication Critical patent/CN114628049A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/907Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Pathology (AREA)
  • Chemical & Material Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Nutrition Science (AREA)
  • Library & Information Science (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention discloses a pulse stimulation system for monitoring heart rate, physical activity and physiological condition immediately, which comprises an implanted pulse generator, a patient monitoring terminal, a server, a doctor client and a patient/family member terminal, wherein the five parts can realize accurate matching of recorded heart rate data with physical activity data, physiological state data and medication data, so that heart rate management is associated with the physical activity data, the physiological state data and the medication data, and whether certain physical discomfort is associated with the heart, the positive and reverse effects of medication, activity and the like of a patient on the heart rate, the physical discomfort is caused and the like can be accurately known. Thereby timely and accurately adjusting the treatment scheme and providing proper medical orders.

Description

Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions
Technical Field
The invention belongs to the technical field of heart rhythm management medical equipment, and particularly relates to a pulse stimulation system for monitoring heart rhythm, physical activity and physiological conditions in real time.
Background
Cardiac management products such as implantable cardiac pacemakers, defibrillators, CRT-P, etc. can operate for long periods of time in an implanted device. After a patient is implanted with a cardiac rhythm management product, the patient typically needs to follow up every six months to the hospital according to the order, and the physician adjusts the parameter settings of the cardiac rhythm management product according to the patient data and device status information collected by the cardiac rhythm management product during the six months follow-up, as well as the patient status detected by the patient dictation and other medical detection devices, further possibly adjusts medication to the patient, and determines appropriate orders, such as exercise advice, dietary advice, other medication advice, and the like.
In the traditional scheme, a doctor cannot accurately and timely know the real medication condition of a patient at ordinary times, the motion condition, whether physical discomfort exists or not and the like, and cannot know the medication condition of the patient, and whether the physical discomfort of the motion condition and the patient is associated with the heart rhythm of the patient or not, so that the treatment scheme cannot be timely and accurately adjusted and a proper medical advice cannot be provided. For example: some people often have syncope, chest distress, chest pain, numbness of limbs and the like with unknown reasons, but the problems can not be detected in hospital examination, including various examinations such as electrocardiogram and blood examination, and the physiological phenomena can be caused by heart problems in a large probability, and whether the physiological phenomena are caused by the heart problems can be judged by observing the heart rhythm information when the physiological phenomena occur, but the physiological conditions are usually sporadic and can not be captured in time in the hospital, and the heart rhythm and physiological state information of a patient need to be recorded, tracked and monitored accurately for a long time; for another example, a patient implanted with the pulse stimulation device usually needs to perform drug therapy at the same time, and whether the drug therapy is real and useful is often not easy to judge, and at this time, if the heart rhythm after the drug administration (including the heart rate, the record of the heart rhythm of the treatment segment during which the pulse stimulation device is implanted to treat the heart disease, etc.) can be accurately observed within a period of time, a doctor is helped to judge the drug therapy effect.
Patent document CN105528526A discloses a life cycle dynamic health management system based on traditional Chinese medicine inheritance and big data mining, which adopts a quantitative and qualitative integration method, parameterizes all information, puts the information into a computer, performs deep learning, excavates rules therein, and finds out traditional Chinese medicine, method, prescription, medicine, disease, syndrome, symptom and treatment rules. But cannot realize the management of the change of the heart rhythm of the patient and the medication condition, the exercise condition and the physical discomfort of the patient.
Patent document CN113345583A discloses a method and system for constructing an intelligent health file of residents in a whole life cycle, which is to build a health information platform with complete functions on the basis of interconnection and intercommunication, and collect the information of life habits, past medical history, diagnosis and treatment conditions, family medical history, present medical history, physical examination results, occurrence, development, treatment and regression processes of diseases and the like of each person into a personal health file. But again, it is not possible to manage in real time the patient's heart rhythm changes in relation to medication, movement and physical discomfort experienced by the patient.
Disclosure of Invention
In view of the above, the present invention provides a pulse stimulation system for monitoring the heart rhythm, physical activity and physiological condition in real time, which realizes real-time precise matching management of the heart rhythm of a patient with the physical activity, physical condition and medication condition, and helps correlation analysis to guide doctors to adjust medical orders and/or treatment schemes.
In order to achieve the above object, an embodiment of the present invention provides a pulse stimulation system for monitoring heart rhythm, physical activity, and physiological status in real time, which includes an implantable pulse generator, a patient monitoring terminal, a server, a doctor client, and a patient/family terminal; the implantable pulse generator is implanted into a patient body and used for collecting heart rhythm data for a long time in a full life cycle including a treatment process, recording corresponding time information and transmitting the time information to a patient monitoring terminal at regular time;
the patient monitoring terminal is used for receiving input physical activity data, physiological condition data and/or medication data containing time information, and the input data and the received heart rhythm data are uploaded to the server as patient related data to be stored;
the server is used for storing the received patient related data, temporally matching the physical activity data, the physiological condition data and/or the medication data with the heart rhythm data according to the data acquisition request of the doctor client, pushing the data matching result to the doctor client for displaying, storing the medical advice and/or the treatment scheme uploaded by the doctor client and sending the medical advice and/or the treatment scheme to the patient/family terminal;
the doctor client is used for acquiring and displaying a data matching result fed back by the server in time, displaying the influence and the correlation of the physical activity data, the physiological condition data and/or the medication data on the heart rhythm data, and transmitting an adjusted doctor order and/or a treatment scheme to the server by the doctor according to the doctor order and/or the treatment scheme adjusted by the influence result and the correlation result;
the patient/family terminal is used for viewing patient-related data, orders and/or treatment plans acquired from the server.
In one embodiment, the implantable pulse generator acquires heart rate data over a long period of time during a full life cycle comprising a treatment session, including a histogram of heart rates during non-exercise, a histogram of atrioventricular conduction, a heart rate curve, atrial velocity/atrial fibrillation/ventricular velocity/ventricular fibrillation information, atrioventricular conduction block information, heart rate variability information, heart rate sudden-stop information; the pulse generator also comprises a heart rate histogram, an atrioventricular conduction histogram, a heart rate curve, atrioventricular/atrial fibrillation/ventricular speed/ventricular fibrillation information, atrioventricular conduction block information, heart rate variability information and heart rate sudden stop information which are acquired when the frequency response function of the implanted pulse generator is in effect during exercise.
In one embodiment, the server comprises a data processing and control module for storing the received patient-related data into a database according to time information, temporally matching the physical activity data, the physiological condition data and/or the medication data with the heart rhythm data according to a data acquisition request of the doctor client, and pushing a matching result to the doctor client; the server comprises a data processing and control module and comprises:
the patient monitoring terminal comprises a data uploading request module, an uploading data analysis module and a data uploading module, wherein the data uploading request module is used for carrying out user verification on a data uploading request uploaded by the patient monitoring terminal, and sending the data uploading request to the uploading data analysis module after the data uploading request passes the user verification, the data uploading request comprises patient identification, time information, a data type and data content, and the time information, the data type and the data content form patient related data;
the uploaded data analysis module is used for analyzing the data uploading request, assembling the data content of the analyzed patient related data according to the time information and the data type and then sending the data content to the database access module;
the database access module is used for storing the assembled data to a database; the data matching system is also used for calling corresponding patient related data according to the data type and the time interval, and feeding back a data matching result to the doctor client after temporally matching physical activity data, physiological condition data and/or medication data contained in the patient related data with the heart rhythm data;
the data acquisition request module is used for carrying out user verification on the data acquisition request uploaded by the doctor client, and sending the data acquisition request to the data request type analysis module after the verification is passed, wherein the data acquisition request comprises a patient identifier, a time interval and a data type;
and the data request type analysis module is used for analyzing the data acquisition request and sending the data type and the time interval obtained by analysis to the database access module.
In one embodiment, in the database access module, after retrieving corresponding patient-related data according to the data type and the time interval and temporally matching physical activity data, physiological condition data, and/or medication data included in the patient-related data with the cardiac rhythm data, the data matching result is fed back to the doctor client, including:
forming a query condition according to the data type and the time interval, wherein the data type comprises a physical activity data type, a physiological condition data type, a medication data type and a heart rate data type;
accessing a database of the server according to the query condition, and ending the access when the data meeting the query condition cannot be accessed in the database; when the database contains data meeting the query conditions and is of one data type, performing two-dimensional assembly matching on the single data according to time-data to form a matching result and feeding the matching result back to the doctor client; and when the database contains data meeting the query conditions and is of multiple data types, carrying out multi-dimensional assembly matching on the multiple types of data according to time-data 1-data 2-data n to form a data matching result and feeding the data matching result back to the doctor client.
In one embodiment, when the doctor client displays the data matching result fed back by the server in time, the time is taken as a horizontal axis, each type of data is taken as a vertical axis, and the data are compositely displayed in a graph, namely, a graph has a change curve of the plurality of types of data about the same time; the variation of the various types of data displayed in a graph can show the effect and correlation of physical activity data, physiological condition data, and/or drug administration data on heart rate data.
In one embodiment, the implantable pulse generator further comprises a timing and control module for controlling the time interval during which the heart rate data is collected and controlling the passage of the heart rate data to the patient monitoring terminal upon expiration of the timing time.
In one embodiment, the doctor client further includes an information setting module, configured to receive information of interest set by a doctor, where the information of interest includes a data type, a data content, and a time interval, and the doctor client generates a data acquisition request based on the set information of interest.
In one embodiment, the implantable pulse generator communicates with the patient monitoring terminal through bluetooth, and wireless network communication is adopted between the patient monitoring terminal and a server, between the server and a doctor client, and between the server and a patient/family terminal.
Compared with the prior art, the invention has the beneficial effects that at least:
the pulse stimulation system for monitoring the heart rhythm, the physical activity and the physiological condition in real time can realize accurate matching of the recorded heart rhythm data with the physical activity data, the physiological state data and the medication data in time, so that the heart rhythm management is associated with the physical activity data, the physiological state data and the medication data, and whether certain physical discomfort is associated with the heart, the positive and negative effects of the medication, the activity and the like of a patient on the heart rhythm are accurately known, and whether the physical discomfort is caused is known. Thereby timely and accurately adjusting the treatment scheme and providing proper medical advice.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a pulse stimulation system provided by an embodiment;
FIG. 2 is a schematic diagram of a patient-related information record provided by an embodiment;
FIG. 3 is a schematic diagram of a 24-hour heart rate curve provided by an embodiment;
FIG. 4 is a block diagram of a data processing and control module according to an embodiment;
FIG. 5 is a flowchart of an embodiment of a process after a server receives data;
fig. 6 is a flowchart of data processing of the server according to the data obtaining request provided by the embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the detailed description and specific examples, while indicating the scope of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
In order to solve the problems that a doctor cannot accurately and timely know the real medication condition, the motion condition, whether the patient has physical discomfort and the like at ordinary times, and cannot know the medication condition, the motion condition and whether the physical discomfort of the patient is linked with the heart rhythm of the patient, so that a treatment scheme cannot be timely and accurately adjusted and a proper medical advice can not be provided, the embodiment provides the pulse stimulation system for immediately monitoring the heart rhythm, the physical activity and the physiological condition.
Fig. 1 is a schematic structural diagram of a pulse stimulation system provided by an embodiment. As shown in fig. 1, an embodiment provides a pulsed stimulation system comprising: an implantable pulse generator 1, a patient monitoring terminal 2, a server 3, a doctor client 4 and a patient/family terminal 5. The implanted pulse generator 1 is implanted in a body, acquires heart rhythm data for a long time in a full life cycle including a treatment process, records corresponding time information and transmits the time information to the patient monitoring terminal 2 at regular time; the patient monitoring terminal 2 receives the input physical activity data, physiological condition data and/or medication data containing time information, and the input data and the received heart rhythm data are uploaded to the server 3 as patient related data to be stored; the server 3 stores the received patient-related data, matches the physical activity data, the physiological condition data and/or the medication data with the heart rhythm data in time according to the data acquisition request of the doctor client, and pushes the data matching result to the doctor client 4 for display; the doctor client 4 displays a data matching result fed back by the server in time for a doctor to check, displays the influence and the correlation of the physical activity data, the physiological condition data and/or the medication data on the heart rhythm data, and the doctor transmits the adjusted doctor advice and/or the treatment scheme to the server 3 according to the doctor advice and/or the treatment scheme adjusted by the influence result and the correlation result; the server 3 stores the medical orders and/or treatment schemes uploaded by the doctor client 4 and sends the corresponding medical orders and/or treatment schemes to the patient/family terminal 5; the patient/family terminal 5 views the patient-related data and orders and/or treatment plans obtained from the server. The patient-related data includes, among other things, heart rate data, entered physical activity data, physiological condition data, and medication data.
Fig. 1 also provides a schematic structural diagram of a specific embodiment of the pulse stimulation system. As shown in fig. 1, the implantable pulse generator 1 comprises a heart rhythm data collection module 7, a timing and control module 6, and a first bluetooth communication module 8, wherein the heart rhythm data collection module 7 collects heart rhythm data within a preset time interval of a patient, wherein the heart rhythm data comprises a heart rate histogram, an atrioventricular conduction histogram, a heart rate curve, atrial rate/atrial fibrillation/ventricular rate/ventricular fibrillation information, atrioventricular conduction block information, heart rate variability information, and heart rate sudden stop information. The rhythm data includes non-motor rhythm data during non-motor periods, and also includes motor rhythm data acquired when the frequency response function of the implantable pulse generator is active during patient movement, and the motor rhythm data related to the movement is more of interest to a doctor. It can be understood that: the non-exercise heart rate data comprises heart rate histograms, atrioventricular conduction histograms, heart rate curves, atrial/ventricular information, atrioventricular conduction block information, heart rate variability information, heart rate sudden-stop information and the like acquired during non-exercise; exercise heart rate data includes heart rate histograms, atrioventricular conduction histograms, heart rate curves, atrial velocity/atrial fibrillation/ventricular velocity/ventricular fibrillation information, atrioventricular conduction block information, heart rate variability information, heart rate arrest information, etc. collected during exercise.
The timing and control module 6 controls the time interval during which the heart rhythm data is collected and, upon expiration of the timing time, controls the transmission of the heart rhythm data to the patient monitoring terminal 2 via the first bluetooth communication module 8. The preset time interval may be a preset time interval such as every day, every few days, or every few hours, and the specific time interval is set according to the use situation.
As shown in fig. 1, the patient monitoring terminal 2 includes a second bluetooth communication module 10, a patient information entry module 9, a data processing and transmission control module 11, and a first network communication module 12. After receiving and caching the heart rhythm data uploaded by the implanted pulse generator 1 through the second bluetooth communication module 10, the data processing and transmission control module 11 transmits the heart rhythm data to the server 3 through the first network communication module 12: the patient information input module 9 receives and records input data such as physical activity data, physiological condition data, medication data and the like input by a patient, and the data processing and transmission control module 11 controls the input data to be transmitted to the server 3 through the first network communication module 12. FIG. 2 is an example of patient entered data, as shown in FIG. 2, which the patient may enter a drug category, a drug name, and a time of administration when entering medication data; when physical activity data is recorded, the exercise intensity, the starting time and the duration time can be recorded; when the physiological condition data is recorded, the physiological information, the starting time and the duration time of the physiological information such as transient coma, chest distress, angina, dizziness and the like can be recorded.
As shown in fig. 1, the doctor client 4 includes a third network communication module 15, a doctor setting module 17, a first information viewing module 16, and a patient notification module 21. The doctor setting module 17 receives the information of interest set by the doctor, wherein the information of interest includes a data type, a data content and a time interval, and the doctor client generates a data acquisition request based on the set information of interest. The information of interest includes at least one of data type and data content, specifically including but not limited to physiological condition information, physical activity data, atrial fibrillation, atrial velocity, ventricular velocity, atrial premature, ventricular premature, sudden cardiac arrest, etc. acquired by the implantable pulse generator, and these data are stored in the database 20 of the server 3; after the doctor sets the concerned information, the first information viewing module 16 obtains the corresponding data matching result from the server 3 through the third network communication module 15 according to the set concerned information to display, specifically, the time is taken as a horizontal axis, each type of data is taken as a vertical axis, and the data are compositely displayed in a curve graph, that is, a curve of the same time variation of the multiple types of data exists in one curve graph; the variation curves of the various types of data displayed in a graph can show the effect and correlation of physical activity data, physiological condition data, and/or drug administration data on heart rate data; the doctor observes and diagnoses the influence result and the correlation result obtained by observing the analysis graph, for example, whether the patient has sudden cardiac arrest when syncope occurs, whether atrial fibrillation occurs when palpitation occurs, whether the incidence rate of atrial fibrillation decreases after medication occurs, and the like, then adjusts the treatment scheme and/or the medical order of the patient by informing the patient module 21, for example, adjusts the dosage, suggests exercise and diet, and the like, and transmits the treatment scheme and/or the medical order to the server 3 through the third network communication module 15. The server 3 sends the treatment plan and/or order to the patient/family member 5. The patient adjusts his physical activity accordingly.
As shown in fig. 1, the server 3 includes a second network communication module 13, a data processing and control module 14, and a database 20. The patient-related data received through the second network communication module 13 is sorted by time by the data processing and control module 14 and stored in the database 20; the orders and/or treatment plans received via the second network communication module 13 are stored to the database 20 by the data processing and control module 14; the stored patient-related data, medical orders and/or treatment protocols in the database 20 are sent to the physician client 4 and the patient/family terminal 5 via the second network communication module 13.
Fig. 4 is a structure and data processing flow diagram of a data processing and control module according to an embodiment. As shown in fig. 4, the data processing and control module 14 stores the received patient-related data in the database according to the time information, temporally matches the physical activity data, the physiological condition data, and/or the medication data with the heart rate data according to the data acquisition request of the doctor client, and pushes the matching result to the doctor client. Specifically, the system comprises a data uploading request module 41, an uploading data analysis module 42, a database access module 45, a data obtaining request module 43 and a data request type analysis module 44. The data uploading request module 41 performs user verification on the data uploading request uploaded by the patient monitoring terminal 2, and after the verification is passed, the data uploading request is sent to the uploaded data analysis module 42; the uploaded data analysis module 42 analyzes the data uploading request, assembles data content of the analyzed patient related data according to the time information and the data type, and sends the data content to the database access module 45; the database access module 45 stores the assembled data to the database 20. The data acquisition request module 43 performs user verification on the data acquisition request uploaded by the doctor client 4, and after the verification is passed, the data acquisition request is sent to the data request type analysis module 44; the data request type analyzing module 44 analyzes the data acquisition request, and sends the data type and the time interval obtained by analysis to the database access module 45; the database access module 45 retrieves corresponding patient-related data according to the data type and the time interval, temporally matches physical activity data, physiological condition data and/or medication data included in the patient-related data with the cardiac rhythm data, and then feeds back a data matching result to the doctor client 4.
Fig. 5 is a flowchart of a process after a server receives data according to an embodiment. As shown in fig. 5, after receiving the data uploading request, the server 3 verifies whether the data uploader is the patient monitoring terminal 2, and if not, returns to the end directly; the patient monitoring terminal 2 analyzes the data uploading request after the verification is passed, and analyzes the data uploading request to obtain the patient identifier, the time information, the data type and the data content, wherein the patient identifier may be a UID, for example: 11E09E9B-xxxx-xxxx-A7BE-F36F82C565A 3; the time information includes heart rate, exercise, and detailed time of medication. After data parsing, the parsed data is uniquely assembled (i.e., a one-to-one assembly of single type data and time information) and stored in the database 20. It should be noted that the patient-related data stored in the database 20 is composed of time information, data type and data content included in the data uploading request.
Fig. 6 is a flowchart of data processing of the server according to the data obtaining request provided by the embodiment. As shown in fig. 6, after the server 3 receives the data acquisition request, the data acquisition request module 43 verifies whether the data requester is the doctor client 4, and if not, returns to the end directly. And after the verification of the doctor client 4 is passed, verifying the access authority of the doctor data, wherein the doctor can only acquire the data of the patient managed by the doctor, the data of other patients are not acquired, and if the access authority is not available, directly returning to finish. After the verification of the access right of the doctor is passed, the data request type analyzing module 44 analyzes the data to obtain the requested data, wherein the main analyzed data is also query conditions including but not limited to patient identification, time interval and data type, wherein the time interval is a time range of the requested data, such as 2021/12/01-2021/1203, and the data type may be one or more, including physical activity data type, physiological status data type, medication data type and heart rate data type. After data parsing, the database access module 45 reads specific data contents from the database 20 according to the parsed query conditions, including: if no data exists under the query condition, directly returning to finish; when data exist under the query condition and are of one data type, performing two-dimensional assembly matching on single-type data according to time-data, if the heart rate data of a patient within 24 hours are queried, the data are corresponding to time-heart rate data from 0 point to 24 points, and if the heart rate data acquisition frequency (which can be changed) once in 2 minutes, 720 groups of time-heart rate data are correspondingly provided; when data exist under the inquiry condition and the data are of multiple data types, multidimensional assembly matching is carried out on the multiple data according to time-data 1-data 2-data n, if heart rate data and medicine taking conditions (three times of medicine taking of a patient within 24 hours) of the patient within 24 hours are inquired, time-heart rate corresponding data from 0 point to 24 points is obtained, the heart rate data acquisition frequency (which can be changed) is set to be once in 2 minutes, 720 groups of time-heart rate data are obtained correspondingly, and three groups of time-medicine information data are time 1-medicine taking 1, time 2-medicine taking 2 and time 3-medicine taking 3. And matching the formed data and feeding back the data matching result to the doctor client 4.
The doctor sees through tragic in the information overview that doctor client 4 presents that the patient has a faint record, and at this moment, the doctor requests to look over the rhythm of the heart data of the faint time quantum through doctor client 4 to server 3, sees whether have unusually, and under the condition that there is unusually, sets up cared information through the information setting module and in order to generate the data acquisition request, and server 3 carries out the matching and the propelling movement of cared information based on the data acquisition request.
Fig. 3 is a typical example of a 24-hour heart rate curve provided by the embodiment, for which, a doctor logs in the doctor client 4 to view the 24-hour heart rate curve, the server 3 transmits and displays patient-related data stored in the database 20 to the doctor client 4 through the second network communication module 13 according to a data acquisition request of the doctor client 4, wherein the patient-related data stored in the database 20 includes heart rate data, and physical activity data, physiological state data and medication data recorded by the patient. When a doctor looks at the 24-hour heart rate curve and finds that the heart rate of the patient is abnormally increased between 15 hours and 17 hours, the doctor can select to display the physiological state data of the patient and associate a heart rate event record; the server 3 finds that palpitation of the patient is recorded in the time period of 15-17 and a plurality of short-time atrial fibrillation events are recorded, and motion records of the patient are recorded in the time period of 18-19 according to the request or the built-in default setting of the doctor client 4, the data are transmitted to the doctor client 4, and the doctor clicks to check specific detail information to know whether the heart rhythm condition is matched and associated with the physiological state and the physical activity of the patient. For example, matching the time points of occurrence of palpitation of a patient with atrial fibrillation records and abnormal heart rhythms can help to make an accurate diagnosis of the palpitation of the patient.
As shown in fig. 1, the patient/family terminal 5 includes a fourth network communication module 19 and a second information viewing module 18. Patient-related data, orders and/or treatment regimens received via the fourth network communication module 19 are visually presented by the second information viewing module 18 for viewing by the patient or family members.
In the pulse stimulation system provided by the above embodiment, the implantable pulse generator is used to record the heart rhythm data of the patient, the heart rhythm data is transmitted to the server through the wireless network for storage, and the server associates the heart rhythm data with the corresponding patient in the database; the patient records the physiological state data, the physical activity data and the medication data of the patient, the recorded data are also transmitted to a server through a wireless network for storage, and the server associates the recorded data of the patient with the heart rhythm data at corresponding time in a database according to time information; based on the method, when a doctor checks certain heart rhythm data, the doctor can select to check physiological state data, physical activity data and medication data of a patient, so that the doctor can visually observe the incidence relation between the recorded data and the heart rhythm data and conveniently check corresponding details; the doctor can inform the patient in the modes of short messages, mails and the like according to the checked relevant data of the patient, timely and accurate adjustment of a treatment scheme and medical advice is realized, and when the doctor checks certain heart rhythm information, the doctor can select to check the physiological information and physical activities of the patient, so that the management of the postoperative full life cycle can be realized in the mode of combining hardware and software.
The above-mentioned embodiments are intended to illustrate the technical solutions and advantages of the present invention, and it should be understood that the above-mentioned embodiments are only the most preferred embodiments of the present invention, and are not intended to limit the present invention, and any modifications, additions, equivalents, etc. made within the scope of the principles of the present invention should be included in the scope of the present invention.

Claims (8)

1. A pulse stimulation system for monitoring heart rhythm, physical activity and physiological condition in real time comprises an implanted pulse generator, a patient monitoring terminal, a server, a doctor client and a patient/family terminal; the implantable pulse generator is implanted into a patient body and used for collecting heart rhythm data for a long time in a full life cycle including a treatment process, recording corresponding time information and transmitting the time information to a patient monitoring terminal at regular time; it is characterized in that the preparation method is characterized in that,
the patient monitoring terminal is used for receiving input physical activity data, physiological condition data and/or medication data containing time information, and the input data and the received heart rhythm data are uploaded to the server as patient related data to be stored;
the server is used for storing the received patient related data, temporally matching the physical activity data, the physiological condition data and/or the medication data with the heart rhythm data according to the data acquisition request of the doctor client, pushing the data matching result to the doctor client for displaying, storing the medical advice and/or the treatment scheme uploaded by the doctor client and sending the medical advice and/or the treatment scheme to the patient/family terminal;
the doctor client is used for acquiring and displaying a data matching result fed back by the server in time, displaying the influence and the correlation of the physical activity data, the physiological condition data and/or the medication data on the heart rhythm data, and transmitting an adjusted doctor order and/or a treatment scheme to the server by the doctor according to the doctor order and/or the treatment scheme adjusted by the influence result and the correlation result;
the patient/family terminal is used for viewing patient-related data, orders and/or treatment plans acquired from the server.
2. The pulse stimulation system for the on-the-fly monitoring of heart rhythm, physical activity and physiological condition of claim 1, wherein the implantable pulse generator acquires heart rhythm data over a long period of time during a full life cycle comprising a treatment session, including a histogram of heart rate during non-exercise, a histogram of atrioventricular conduction, a heart rate profile, atrial rate/atrial fibrillation/ventricular rate/fibrillation information, atrioventricular conduction block information, heart rate variability information, heart rate arrest information; the pulse generator also comprises a heart rate histogram, an atrioventricular conduction histogram, a heart rate curve, atrioventricular/atrial fibrillation/ventricular speed/ventricular fibrillation information, atrioventricular conduction block information, heart rate variability information and heart rate sudden stop information which are acquired when the frequency response function of the implanted pulse generator is in effect during exercise.
3. The system of claim 1, wherein the server comprises a data processing and control module for storing the received patient-related data in a database according to time information, temporally matching the physical activity data, the physiological condition data and/or the medication data with the heart rate data according to the data acquisition request of the doctor client, and pushing the matching result to the doctor client; the server comprises a data processing and control module which comprises:
the patient monitoring terminal comprises a data uploading request module, an uploading data analysis module and a data uploading module, wherein the data uploading request module is used for carrying out user verification on a data uploading request uploaded by the patient monitoring terminal, and sending the data uploading request to the uploading data analysis module after the data uploading request passes the user verification, the data uploading request comprises patient identification, time information, a data type and data content, and the time information, the data type and the data content form patient related data;
the uploaded data analysis module is used for analyzing the data uploading request, assembling the data content of the analyzed patient related data according to the time information and the data type and then sending the data content to the database access module;
the database access module is used for storing the assembled data to a database; the data matching system is also used for calling corresponding patient related data according to the data type and the time interval, and feeding back a data matching result to the doctor client after temporally matching physical activity data, physiological condition data and/or medication data contained in the patient related data with the heart rhythm data;
the data acquisition request module is used for carrying out user verification on the data acquisition request uploaded by the doctor client, and sending the data acquisition request to the data request type analysis module after the verification is passed, wherein the data acquisition request comprises a patient identifier, a time interval and a data type;
and the data request type analysis module is used for analyzing the data acquisition request and sending the data type and the time interval obtained by analysis to the database access module.
4. The system of claim 3, wherein the database access module retrieves the corresponding patient-related data according to the data type and the time interval, matches the physical activity data, the physiological condition data, and/or the medication data contained in the patient-related data with the cardiac rhythm data in time, and feeds back the data matching result to the doctor client, and the system comprises:
forming a query condition according to the data type and the time interval, wherein the data type comprises a physical activity data type, a physiological condition data type, a medication data type and a heart rate data type;
accessing a database of the server according to the query condition, and ending the access when the data meeting the query condition cannot be accessed in the database; when the database contains data meeting the query conditions and is of one data type, performing two-dimensional assembly matching on the single data according to time-data to form a matching result and feeding the matching result back to the doctor client; and when the database contains data meeting the query conditions and is of multiple data types, carrying out multi-dimensional assembly matching on the multiple types of data according to time-data 1-data 2-data n to form a data matching result and feeding the data matching result back to the doctor client.
5. The system of claim 1, wherein the physician client displays the matching result of the data fed back by the server in time, and the data is displayed in a graph by taking time as horizontal axis and each type of data as vertical axis, that is, the graph has the variation curve of the data of different types with respect to the same time; the variation of the various types of data displayed in a graph can show the effect and correlation of physical activity data, physiological condition data, and/or drug administration data on heart rate data.
6. A pulse stimulation system for the on-the-fly monitoring of heart rate, physical activity and physiological conditions according to claim 1, wherein the implantable pulse generator further comprises a timing and control module for controlling the time interval during which the heart rate data is collected and for controlling the passage of the heart rate data to the patient monitoring terminal upon expiration of the timing time.
7. The system of claim 1, wherein the doctor client further comprises an information setting module for receiving information of interest set by the doctor, the information of interest comprises data type, data content and time interval, and the doctor client generates the data acquisition request based on the set information of interest.
8. A pulse stimulation system for the prompt monitoring of cardiac rhythm, physical activity and physiological condition according to claim 1, wherein the implantable pulse generator communicates with the patient monitoring terminal via bluetooth, and wireless network communication is used between the patient monitoring terminal and the server, between the server and the doctor client, and between the server and the patient/family terminal.
CN202210514326.0A 2022-05-12 2022-05-12 Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions Pending CN114628049A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210514326.0A CN114628049A (en) 2022-05-12 2022-05-12 Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210514326.0A CN114628049A (en) 2022-05-12 2022-05-12 Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions

Publications (1)

Publication Number Publication Date
CN114628049A true CN114628049A (en) 2022-06-14

Family

ID=81906349

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210514326.0A Pending CN114628049A (en) 2022-05-12 2022-05-12 Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions

Country Status (1)

Country Link
CN (1) CN114628049A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107346365A (en) * 2016-05-04 2017-11-14 山东华平信息科技有限公司 Intelligent medicine box information interaction system and method
CN108289632A (en) * 2015-11-11 2018-07-17 启迪医疗仪器公司 The monitoring of heart and sleep
CN113117237A (en) * 2021-03-30 2021-07-16 丹源医学科技(杭州)有限公司 Follow-up system of implantable medical equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108289632A (en) * 2015-11-11 2018-07-17 启迪医疗仪器公司 The monitoring of heart and sleep
CN107346365A (en) * 2016-05-04 2017-11-14 山东华平信息科技有限公司 Intelligent medicine box information interaction system and method
CN113117237A (en) * 2021-03-30 2021-07-16 丹源医学科技(杭州)有限公司 Follow-up system of implantable medical equipment

Similar Documents

Publication Publication Date Title
DE60038429T2 (en) A system and method for determining a reference baseline of an individual patient condition for use in an automated collection and patient care analysis system
US9610012B2 (en) System and apparatus for providing baseline data for automated patient management
DE60035546T2 (en) System and method for the automatic collection and analysis of periodically collected patient data for remote patient care
US6261230B1 (en) System and method for providing normalized voice feedback from an individual patient in an automated collection and analysis patient care system
DE60009988T2 (en) System and method for providing normalized voice feedback to an individual patient in an automated collection and analysis patient care system
US20040088374A1 (en) Aggregation and sharing of patient data
CN113795299A (en) Evaluation of patient status and medical device performance after implantation
US20080262872A1 (en) Method For Delivering Subjective Surveys Linked to Subjective and Objective Data
US20010025138A1 (en) System and method for processing normalized voice feedback for use in automated patient care
EP1107158B1 (en) System and method for determining a reference baseline of individual patient status for use in an automated collection and analysis patient care system
CN112700839A (en) Artificial intelligence health management method and system based on big data
CN114628049A (en) Pulse stimulation system for real-time monitoring of heart rhythm, physical activity and physiological conditions
AU759934B2 (en) System and method for determining a reference baseline of individual patient status for use in an automated collection and analysis patient care system
CN116487020A (en) Health state identification system and method
CN118173288A (en) Thyroid eye disease management system

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: 20220614