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CN-122006117-A - Pacemaker remote intelligent management platform for dynamic intervention feedback

CN122006117ACN 122006117 ACN122006117 ACN 122006117ACN-122006117-A

Abstract

The invention relates to the technical field of pacemaker remote intelligent management, in particular to a pacemaker remote intelligent management platform for dynamic intervention feedback, which comprises a heart rate rhythm extraction module for collecting signals and extracting fluctuation trend, a rhythm fluctuation classification module for identifying section characteristics to form a partition, an output response level calibration module for analyzing track distinguishing response levels, an intervention response coordination identification module for distinguishing behavior deviation by contrasting intervention content, and a remote management level judgment module for tracking deviation tracks and analyzing deviation and merging to obtain pacemaker remote intelligent management results. According to the invention, a rhythm evolution structure is constructed by organizing the heart rate direction, clear state boundaries and correlations are presented, layered descriptions are built based on response differences, an intervention and feedback comparison mechanism is formed, continuous deviation recognition and merging judgment are supported, management is ensured to have rhythm consistency, hierarchy differentiation and decision continuity, and further stable judgment and abnormality recognition capability of remote regulation are enhanced.

Inventors

  • HUANG WEI
  • LI QIAN

Assignees

  • 安徽省宿州市立医院

Dates

Publication Date
20260512
Application Date
20260323

Claims (10)

  1. 1.A pacemaker remote intelligent management platform facing dynamic intervention feedback, characterized in that the platform comprises: The heart rate rhythm extraction module is used for acquiring a pacemaker operation heart rate signal, reading a heart rate change direction, connecting to form a heart rate fluctuation path, identifying a starting position of stable change and a stable ending position of stable change, extracting continuity and switching characteristics of direction change, and obtaining heart rate rhythm change trend content; the rhythm fluctuation classification module is used for identifying a fluctuation section with consistent heart rate direction and frequent switching according to the heart rate direction change characteristics in the heart rate rhythm fluctuation trend content, respectively extracting the heart rate direction maintenance time performance and the switching occurrence frequency, merging the fluctuation sections with the same change mode according to the difference, and forming a rhythm fluctuation partition result; The output response level calibration module is used for calling a time period range corresponding to each fluctuation partition in the rhythm fluctuation partition result, reading an output signal change track in the operation of the pacemaker, extracting the initial trend form difference and the ending trend form difference, and distinguishing response levels according to the difference between tracks to form pacing output response level description; And the intervention response coordination and identification module extracts a response rhythm, an action time range and an intervention action region description in remote intervention content according to response level information in the pacing output response level description, and compares the response rhythm, the action time range and the intervention action region description with the response level information item by item, distinguishes intervention behaviors with consistent directions and offset, and forms intervention behavior comparison information.
  2. 2. The pacemaker remote intelligent management platform facing dynamic intervention feedback according to claim 1, wherein the heart rate rhythm variation trend content comprises heart rate direction variation interval division results, heart rate direction switching density distribution and heart rate direction continuous segment length sets, the rhythm fluctuation partition results comprise direction stable fluctuation partition categories, direction high-frequency switching fluctuation partition categories and direction mixed variation fluctuation partition categories, the pacing output response level description comprises pacing output initial response level, pacing output adjustment response level and pacing output abnormal response level, and the intervention behavior comparison information comprises intervention rhythm consistency identification, intervention time range matching identification and intervention action area matching identification.
  3. 3. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 1 wherein the heart rate rhythm extraction module comprises a signal acquisition sub-module, a change positioning sub-module and a rhythm extraction sub-module; the signal acquisition submodule acquires heart rate signals recorded by heart rate acquisition electrodes in the chest in the continuous operation process of the pacemaker, divides the continuous heart rate signals into a plurality of adjacent time periods according to the time sequence of signal recording, extracts corresponding heart rate change trend and time position identification for each time period, arranges the change trend of each time period according to the time sequence, establishes a change fragment set on a continuous time axis and generates a heart rate change fragment sequence; The change positioning sub-module is used for calling change trend information and time position identifiers of adjacent change fragments in the heart rate change fragment sequence, judging whether the change trend between the adjacent fragments is changed segment by segment, marking the time position for which the trend change occurs for the first time as a change starting position, marking the time position for which the change trend is kept consistent again as a change ending position, matching and sorting all the change starting positions and the change ending positions according to time sequence to form a corresponding change section identifier set, and generating a heart rate change section position set; And the rhythm extraction submodule invokes the distribution condition of each change section on the time axis in the heart rate change section position set, continuously judges the time connection state and the trend continuous state between adjacent change sections, distinguishes the continuous time section with the trend kept consistent and the time section with the trend changed for a plurality of times, sequentially integrates all the time sections on the unified time axis according to the change path structure corresponding to the trend maintenance state and the change rhythm arrangement in each time section, and generates the heart rate rhythm change trend content.
  4. 4. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 1 wherein the rhythm fluctuation classification module comprises a fluctuation identification sub-module, a feature extraction sub-module and a type merging sub-module; the fluctuation identification submodule sequentially extracts a direction consistent section and a direction switching frequent section in a continuous time range based on the change direction characteristics of each time period in the heart rate rhythm fluctuation trend content, judges whether the time sections with consistent directions have continuity, extracts the switching times between adjacent time periods in the sections with the direction being frequently switched, marks all the identified direction consistent sections and the direction switching sections respectively, and establishes a fluctuation section distribution sequence; The feature extraction submodule invokes start-stop time information of each section in the fluctuation section distribution sequence, extracts corresponding time spans aiming at sections with consistent directions, counts switching times aiming at sections with frequent switching of the directions, respectively establishes a maintenance time set of the sections with consistent directions and a switching frequency set of the sections with frequent switching, combines the two set contents according to time sequence to form a comparison structure, and generates a rhythm change expression set; And the type merging sub-module judges whether the adjacent sections have consistency in time continuity and change modes according to the time span and switching frequency content of each section in the rhythm change expression set, screens the sections meeting the same direction change mode to be classified into the same type, and sequentially marks the section boundaries of each type on a time axis according to the time period range corresponding to the integration of the classification result to obtain the rhythm fluctuation partition result.
  5. 5. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 1 wherein the output response level calibration module comprises a track extraction sub-module, a morphology identification sub-module and a level judgment sub-module; the track extraction submodule invokes a time period range corresponding to each fluctuation partition in the rhythm fluctuation partition result, sequentially reads output signal content matched with each time period in the continuous operation process of the pacemaker, extracts recording points and change segments of each signal content according to time sequence, sorts signal arrangement sequences under each partition, constructs a continuous output track set for distinguishing the time periods, and generates a partition signal track fragment set; The form recognition sub-module extracts signal value change trend of a track starting stage and a track ending stage according to the arrangement sequence of each track in the partitioned signal track fragment set on a time axis, classifies the form features of the two stages according to the continuous direction and turning amplitude of the trend, sorts the trend combination modes corresponding to each track according to track numbers, establishes a mapping relation between the partitions and the trend, and acquires a start-stop form feature list; And the level judging submodule invokes a corresponding trend combination mode under each fluctuation partition in the starting and stopping morphological feature list, judges the difference degree of different combination modes on a response trend structure, carries out cross classification on the combination modes according to three terms of trend change direction, continuous span and response amplitude, classifies the partition with similar response expression into uniform level categories, sequentially marks time period numbers corresponding to each level, and generates pacing output response level description.
  6. 6. The pacemaker remote intelligent management platform facing the dynamic intervention feedback of claim 1 wherein the intervention response coordination identification module comprises a level calling sub-module, an element comparison sub-module and a behavior classification sub-module; the level calling sub-module extracts response rhythm content, action time range and intervention action area position identification corresponding to each response level according to response level information reflected in the pacing output response level description, establishes a numbering index structure according to time sequence, combines level labels and attribute fields of each record to form a comparison set, and is used for matching three types of field content in remote intervention information to generate a response level mapping list; The element comparison sub-module is used for acquiring the intervention information content sent by the remote operation end, extracting an intervention rhythm description, an action time range description and an action area description, calling three corresponding fields in the response level mapping list, performing item-by-item comparison on each piece of intervention information in three field dimensions, respectively marking whether rhythms are consistent, whether time is consistent and whether areas are corresponding to matching states, and establishing an item-by-item intervention comparison structure to obtain an intervention consistency comparison list; And the behavior classification sub-module is used for identifying whether the behaviors belong to joint behaviors with consistent rhythms, consistent time and consistent areas according to the matching state combination of each intervention record in the intervention consistency comparison list, classifying the behaviors with consistent three terms into direction consistency categories, classifying the rest of the behaviors into direction deviation categories, and sorting time indexes and action area identification numbers corresponding to various intervention behaviors to obtain intervention behavior comparison information.
  7. 7. The pacemaker remote intelligent management platform for dynamic intervention feedback as claimed in claim 1, wherein the platform further comprises: The remote management level judging module extracts heart rate response tracks in corresponding time periods according to the intervention behaviors with offset in the intervention behavior comparison information, continuously tracks the change trend according to time, segments and merges the heart rate response track segments deviating from the indication trend, and obtains a remote intelligent management result of the pacemaker; the pacemaker remote intelligent management result comprises a remote intervention adaptation degree judgment result, a pacing response deviation accumulation state and a remote management effectiveness evaluation conclusion.
  8. 8. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 7 wherein the remote management level judgment module comprises a track extraction sub-module, an offset tracking sub-module and a fragment merging sub-module; the track extraction submodule extracts heart rate response signal content recorded in the continuous running process of the pacemaker in a corresponding time period according to the intervention behavior with deviation in the direction in the intervention behavior comparison information, sequentially reads heart rate response tracks in each time period according to the intervention behavior number, splices and arranges all the heart rate response tracks according to the time sequence, and combines time labels corresponding to each track to form a structured set to generate a deviation association track sequence; The offset tracking sub-module is used for calling an arrangement structure of each track in the offset association track sequence on a time axis, extracting trend expressions of each track in three dimensions of a response rhythm, an action time range and an intervention action area, and carrying out piece-by-piece comparison on continuous change paths of the tracks in the three dimensions according to change trend fields recorded in intervention behavior comparison information, so as to screen out track fragments which are not consistent with an intervention direction and obtain a deviation trend fragment set; and the segment merging sub-module is used for merging a plurality of segments with consistent deviation directions in adjacent time periods according to the time sequence position indexes of the segments in the deviation trend segment set, integrating three information of response rhythm, time range and action area corresponding to the continuous deviation segments, establishing a multidimensional merged deviation behavior expression structure, and sorting and classifying according to track numbers and intervention area numbers to obtain a pacemaker remote intelligent management result.
  9. 9. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 8 wherein the process of splicing and arranging all heart rate response tracks in time sequence is specifically as follows; Performing time stamp alignment on the heart rate response tracks according to the starting time and the ending time of the time period corresponding to the intervention behavior number, and inserting a continuity check section between adjacent heart rate response tracks for judging whether interval break points exist on the time axis of the adjacent heart rate response tracks; the process of comparing the continuous change paths of the track in three dimensions of the response rhythm, the action time range and the intervention action area one by one specifically comprises the following steps: And respectively extracting a change parameter set corresponding to the response rhythm, the action time range and the intervention action area from each heart rate response track, carrying out difference calculation on the change parameter set in a continuous time window, and marking the corresponding time window as a track segment which is not consistent with the intervention direction when the change amplitude of any dimension continuously exceeds a preset offset threshold value.
  10. 10. The pacemaker remote intelligent management platform facing dynamic intervention feedback of claim 8 wherein the merging process of the segments with consistent deviation directions in adjacent time periods is specifically as follows: And merging the track fragments which meet the condition that the continuous time interval is smaller than a preset merging time interval and have the same offset direction according to the adjacency of the track fragments which are not consistent with the intervention direction on a time axis and the offset consistency in the response rhythm, the action time range and the intervention action area, and generating a corresponding time span record so as to obtain an offset behavior representation result after multidimensional merging.

Description

Pacemaker remote intelligent management platform for dynamic intervention feedback Technical Field The invention relates to the technical field of pacemaker remote intelligent management, in particular to a pacemaker remote intelligent management platform for dynamic intervention feedback. Background The technical field of remote intelligent management of pacemakers comprises a system method for carrying out non-contact data transmission and management on an implantable cardiac pacemaker through an information communication means, the core content of the technical field is to realize continuous monitoring, data acquisition and remote analysis on the running state of the pacemaker in a patient so as to assist medical staff to carry out scientific management and dynamic intervention on the patient, the field usually covers multiple aspects of remote data communication, embedded equipment management, electrocardiosignal acquisition and transmission, doctor-patient data interaction and the like, physiological data generated by the pacemaker is transmitted to a medical management platform through a wireless communication technology, and is interpreted and interfered by doctors or systems. The pacemaker remote intelligent management platform facing dynamic intervention feedback refers to a remote management framework for realizing synchronous linkage of active data acquisition and real-time intervention decision in a pacemaker management process, mainly aims at the technical problems of a traditional remote monitoring system in terms of passive information acquisition and lack of a real-time response mechanism, covers a data reading control mechanism based on periodic automatic awakening, an active data screening process according to a doctor setting intervention condition, a hierarchical information transmission channel combined with network transmission time sequence setting, and a plurality of technical matters such as remote instruction triggering logic of an intelligent intervention feedback module at a docking medical end, generally controls pacemaker state reading frequency through a set time threshold, starts a data transmission program according to a parameter abnormality judgment model, realizes data interaction with a medical platform through constructing a standardized interaction protocol, and completes dynamic acquisition and processing of management decision basis. In the prior art, state data feedback and condition triggering are used as main management basis in the operation process, attention points are focused on parameter expression in a single moment or an independent interval, when the heart rate change presentation stage is alternated or the direction is repeated, related data are easy to be split, the intervention judgment depends on static information combination, continuous deviation conditions in the response process are difficult to reflect, and problems that the intervention effect is difficult to align, abnormal behavior accumulation is invisible and the like are easy to occur under the condition of frequent remote operation or superposition of management instructions, so that the continuity and the reliability of remote management judgment are limited. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a pacemaker remote intelligent management platform facing dynamic intervention feedback. In order to achieve the purpose, the invention adopts the following technical scheme that the pacemaker remote intelligent management platform facing the dynamic intervention feedback comprises: The heart rate rhythm extraction module is used for acquiring a pacemaker operation heart rate signal, reading a heart rate change direction, connecting to form a heart rate fluctuation path, identifying a starting position of stable change and a stable ending position of stable change, extracting continuity and switching characteristics of direction change, and obtaining heart rate rhythm change trend content; the rhythm fluctuation classification module is used for identifying a fluctuation section with consistent heart rate direction and frequent switching according to the heart rate direction change characteristics in the heart rate rhythm fluctuation trend content, respectively extracting the heart rate direction maintenance time performance and the switching occurrence frequency, merging the fluctuation sections with the same change mode according to the difference, and forming a rhythm fluctuation partition result; The output response level calibration module is used for calling a time period range corresponding to each fluctuation partition in the rhythm fluctuation partition result, reading an output signal change track in the operation of the pacemaker, extracting the initial trend form difference and the ending trend form difference, and distinguishing response levels according to the difference between tracks to form pacing output response level descr