Dynamic monitoring dressing change system and method for wound repair

Abstract

The invention discloses a dynamic monitoring dressing change system and method for wound repair, and relates to the technical field of medical care, and the method comprises the following steps: continuously collecting the wound exudation amount in the wound repair process, and arranging the collected data according to a time sequence to form an exudation trend band, and extracting an exudation amount rising direction vector and an exudation amount falling direction vector in the exudation trend band, and generating a direction trace list. Through trend identification and fingerprint linkage regulation and control, prospective identification of wound exudation risk and dynamic dressing change intervention are realized, the dressing change rhythm and the wound repair state are synchronized in real time, the infection response efficiency is improved, intervention delay and tissue disturbance are reduced, and a more accurate and efficient wound nursing management path is realized.

Description

Technical Field

[0001] This invention relates to the field of medical and nursing technology, specifically to a system and method for dynamic monitoring and dressing changes of wound repair. Background Technology

[0002] Dynamic monitoring and dressing change for wound healing refers to a nursing and treatment approach that moves beyond fixed time intervals or experience-based judgments during wound healing. Instead, it focuses on the continuous changes in the wound's healing status, using an intelligent sensing system to dynamically observe and assess the local wound environment, and using the monitoring results as the basis for dressing change decisions. This approach pays attention to changes in exudate, tissue color and morphology, granulation tissue growth trends, and the appearance or disappearance of infection signs at different stages of wound healing. The intelligent sensing system collects and analyzes these continuous or phased changes to determine whether the current dressing is still appropriate, whether it needs to be changed, and what kind of dressing change treatment should be adopted. This ensures that dressing changes are synchronized with the actual wound healing process, avoiding excessive dressing changes that interfere with healing and preventing risks caused by delayed dressing changes, thus achieving nursing management that better aligns with the wound's own healing rhythm.

[0003] The existing technology has the following shortcomings: In existing technologies, decisions regarding dressing changes during wound repair typically involve monitoring gas exchange indicators beneath the dressing. When these indicators remain stable with minimal fluctuations over a continuous monitoring period, the wound environment is often considered stable, leading to the continuation of the existing dressing and a delay in dressing changes. However, in actual dynamic processes, this "stable state" of gas exchange may not stem from a healthy balance between oxygen supply and metabolism. Instead, factors such as increased dressing tightness, gradual accumulation of exudate, and local tissue edema can subtly weaken gas exchange pathways, gradually creating a hypoxic or even anaerobic microenvironment beneath the wound. Because the formation of this anaerobic environment does not initially manifest with obvious abnormal changes in gas exchange indicators, existing technologies struggle to identify this hidden early signal, easily misinterpreting it as a stable state and thus delaying dressing changes or intervention. As the anaerobic state persists, it provides conditions for the proliferation of anaerobic bacteria, significantly increasing the risk of rapidly progressing and highly dangerous complications such as gas gangrene.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a dynamic monitoring and dressing change system and method for wound repair, so as to solve the problems in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for dynamic monitoring and dressing change of wound repair, comprising the following steps: The amount of exudate from the wound during the wound repair process is continuously collected. The collected data is arranged in chronological order to form an exudate trend band. The upward and downward exudate direction indicators are extracted from the exudate trend band, and a list of directional traces containing all the direction indicators is generated. Based on the list of directional traces, the section where the exudate decreases and the exudate is densely distributed is determined. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are simultaneously acquired. The monitoring information is superimposed to form a multidimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. The monitoring frequency and density of exudate volume are adjusted around the suspected reversal window. After inserting a short silent interval, resampling is performed. The resampling data captures two types of changing trends: a rapid rebound trajectory after the exudate volume decreases and a continuous passivation trajectory after the decrease. Based on the changing trends, latent diffusion fingerprints are generated. Based on the latent diffusion fingerprint, the time sequence of wound dressing change related operations is rearranged. The debridement, dressing change and local antibacterial treatment actions are written into a unified timeline according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. Based on the dressing change intervention trigger sequence, the threshold window rolling disc is dynamically adjusted. The threshold window rolling disc moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint. By compressing the dressing change time interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel, the dressing change behavior and the wound repair rhythm are dynamically linked.

[0007] Preferably, the steps for generating the direction trace list are as follows: The amount of exudate from the wound is continuously collected. By setting up a dressing structure with liquid absorption capacity and a contact sensing element, the change value of exudate per unit time is obtained and a data set is formed. The data set is arranged in chronological order of collection time, and a seepage trend band is constructed based on the numerical differences over time. The direction of change of seepage amount over time is marked in the seepage trend band. Extract data segments from the seepage trend zone that are continuous in direction, sustained in time, and consistent in value change, and classify them into seepage increase direction and seepage decrease direction. The extracted exudate increase and decrease directional indicators are sequentially combined according to the time series to generate a list of directional traces, which are used for retrospective identification of exudate trends and reference for dressing change decisions.

[0008] Preferably, the steps for generating the inverted suspected window are as follows: Based on the continuous arrangement or high frequency of the direction of the decrease in exudation in the list of directional traces, the section where the direction of the decrease in exudation is densely distributed is determined. Around the section where the exudate volume decreases and the volume is densely distributed, obtain the wound temperature gradient, wound color gradient and wound odor indicators; The wound temperature gradient, wound color gradient, and wound odor indicators are superimposed on the time axis to form a multi-dimensional risk characterization result; Based on the concentrated changes in the densely distributed area indicating a decrease in exudate volume according to the multidimensional risk characterization results, a potential reversal window was determined as the time window for risk evolution.

[0009] Preferably, the wound temperature gradient is formed by continuously recording temperature changes at different locations and times, the wound color gradient is formed by depicting changes in surface color over time and space, and the wound odor indicator is generated by sensing changes in odor in the air.

[0010] Preferably, the latent diffusion fingerprint generation steps are as follows: Sampling nodes were divided around the suspected inversion window, and short silent intervals were inserted to adjust the sampling rhythm density of exudate. Based on the adjusted rhythm density, a resampling operation is performed to construct a resampling data sequence covering the suspected inversion window; Based on the resampled data sequence, two types of trends were identified: a rapid rebound trajectory after a decrease in exudate and a continuous passivation trajectory after a decrease in exudate. The trajectories of the two types of change trends are summarized and marked according to the start and end points, direction of change, duration and exudation amplitude on the time axis to generate latent diffusion fingerprints.

[0011] Preferably, the inserted short-term silent interval is set between adjacent sampling nodes to reduce the disturbance of the wound microenvironment to continuous sampling and to enhance the sensitivity of resampling data to small fluctuations in exudate.

[0012] Preferably, the steps for generating the dressing change intervention trigger sequence are as follows; Based on the reading of the starting position, evolution direction and duration of each trajectory segment on the time axis by latent diffusion fingerprint, a time correspondence between latent diffusion fingerprint and infiltration trend zone and reversal suspected window is established. Based on the sequence of occurrence of the trajectory segments reflected by the latent diffusion fingerprint, the functions of debridement, dressing change and local antibacterial treatment were matched, and the order of intervention of each nursing action was determined. The completed debridement, dressing change and local antibacterial treatment actions are written into a unified timeline, so that each nursing action is linked to the corresponding latent diffusion fingerprint trajectory in time. Based on the arrangement of nursing actions in a unified timeline, a dressing change intervention trigger sequence is constructed to drive the sequential execution of wound dressing change operations.

[0013] Preferably, in the dressing change intervention trigger sequence, the debridement action is triggered at the beginning of the rapid rebound trajectory, the dressing change action is triggered in the middle of the trajectory, and the local antibacterial treatment action is triggered in the continuous blunting trajectory.

[0014] Preferably, the threshold window rolling disc is dynamically adjusted based on the dressing change intervention trigger sequence. The threshold window rolling disc moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint, and the following steps are performed to compress the dressing change interval, extend the wound drainage gap, and adjust the opening of the dressing release channel: Based on the binding information between nursing actions and latent diffusion fingerprints in the dressing change intervention trigger sequence, the threshold window roll disk is activated and moved forward according to spatial density and temporal aggregation. Based on the overlap of the threshold window roll plate and the latent diffusion fingerprint trajectory segment, the dressing change time interval is reconfigured and the nursing action trigger point is adjusted in an aggregate manner; During the adjustment of dressing change intervals, extend the gaps in wound drainage between nursing actions to maintain fluid drainage from the wound tissue and local environmental stability; Based on the risk level of the latent diffusion fingerprint trajectory segment, the opening of the dressing release channel is adjusted to keep the dressing change behavior and the wound repair rhythm dynamically linked.

[0015] The wound repair dynamic monitoring and dressing change system includes an exudate trend generation module, a risk window identification module, a diffusion fingerprint generation module, a dressing change sequence construction module, and a dynamic control execution module. The exudation trend generation module continuously collects the amount of exudate from the wound during the wound repair process. The collected data is arranged in chronological order to form an exudation trend band. The module extracts the upward and downward exudation direction indicators from the exudation trend band and generates a list of directional traces containing all the direction indicators. The risk window identification module determines the section where the exudate decreases and the exudate is densely distributed based on the list of directional traces. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are acquired simultaneously. The monitoring information is superimposed to form a multi-dimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. The diffusion fingerprint generation module adjusts the monitoring rhythm density of exudate volume around the inverted suspected window, inserts a short silent interval and then performs resampling. It captures two types of changing trends through the resampling data: the rapid rebound trajectory after the exudate volume decreases and the continuous passivation trajectory after the decrease. Based on the changing trends, it generates a latent diffusion fingerprint. The dressing change sequence construction module rearranges the time sequence of wound dressing change-related operations based on the latent diffusion fingerprint. It writes the debridement action, dressing change action and local antibacterial treatment action into a unified time axis according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. The dynamic control execution module initiates dynamic control of the threshold window rolling disk based on the dressing change intervention trigger sequence. The threshold window rolling disk moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint. By compressing the dressing change time interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel, the dressing change behavior and the wound repair rhythm are dynamically linked.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention introduces a list of exudate trend bands and directional traces, enabling the analysis of wound exudate changes to move beyond simple numerical judgments and instead identify trends over time. The potential risk status represented by a decrease in exudate volume can be dynamically captured during the trajectory generation stage, ensuring that the clinical response to infection evolution no longer lags behind the appearance of surface symptoms, thus enhancing the prospective identification capability of deeper risk changes.

[0017] This invention, based on the identification of latent diffusion fingerprints, achieves the transformation of dressing change behavior from a static operation to a continuously adjustable path through the dynamic linkage of the dressing change intervention trigger sequence and the threshold window rolling plate. The timing, rhythm, and intensity of nursing operations can be adjusted in real time according to the wound healing status, avoiding excessive interference with wound tissue during dressing changes, while reducing the spread of infection caused by intervention delays, making the entire dressing change process more in line with the wound's own healing rhythm. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the method for dynamic monitoring and dressing change of wound repair according to the present invention.

[0020] Figure 2 This is a schematic diagram of the modules of the wound repair dynamic monitoring and dressing system of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The method for dynamic monitoring and dressing changes of wound healing, as shown, includes the following steps: The amount of exudate from the wound during the wound repair process is continuously collected. The collected data is arranged in chronological order to form an exudate trend band. The upward and downward exudate direction indicators are extracted from the exudate trend band, and a list of directional traces containing all the direction indicators is generated. During wound healing, to achieve dynamic identification and trend tracking of wound exudation, the following steps are used to continuously collect wound exudate data. Based on the data collection results, an exudate trend band with time-series characteristics is generated. Simultaneously, the rising and falling directional indicators of the exudate are extracted, and a list of directional traces containing all directional indicators is generated. The specific implementation steps are as follows: When a wound begins its healing phase, a dressing with liquid-absorbing capabilities is applied to the wound area. One side of this dressing adheres closely to the wound surface, while the other side is pre-installed with a contact sensor to detect changes in local humidity. This sensor continuously acquires data on the changes in exudate absorption or migration per unit time. These changes are recorded in real-time with reference to time and aggregated into a dataset. Each record in the dataset includes a time point and the corresponding exudate volume. By continuously acquiring data, consistent exudate change data is obtained, ensuring that the data covers the entire process of exudate increase and decrease, thus laying the foundation for subsequent trend analysis.

[0023] The collected data sets were sorted according to the collection time sequence, and the numerical differences in exudate volume over time were analyzed group by group. The data in the time dimension was transformed into a structured sequence showing the direction of change, forming an exudate trend band reflecting the dynamic change trend of wound exudate. In this process, under the condition of maintaining a uniform collection time interval, the difference in exudate volume between adjacent data points was used as a preliminary judgment criterion. By comparing the magnitude of exudate volume between two adjacent time points, the direction of change was identified. When the exudate volume at a later time point is greater than that at a previous time point, it is recorded as an upward trend; conversely, it is recorded as a downward trend. Based on this step-by-step comparison method, an exudate trend band with directional expression was constructed. The exudate trend band not only retains the time sequence of the original data but also further endows each time interval with the attribute of the direction of exudate change, making the trend band both data continuous and capable of expressing the change trend.

[0024] Based on the completed construction of the seepage trend band, each time interval with a clear direction of seepage change is segmented and identified. Intervals showing a continuous increase in seepage are categorized as upward directional indicators, and intervals showing a continuous decrease in seepage are categorized as downward directional indicators. When extracting these indicators, each segment of seepage data that is continuous in direction, lasts for a period of time, and exhibits a unidirectional change in value is used as the basic unit. The time points and seepage amounts at both ends of this unit are marked, forming a descriptive structure with start and end times and trend direction. All identified upward and downward directional indicators are managed uniformly using the same data structure format and archived according to their starting order within the seepage trend band, providing a standardized data foundation for subsequent trend clustering and dynamic risk identification.

[0025] By comprehensively analyzing the extracted upward and downward directional indicators, and sequentially combining them according to the original time series of the exudation trend, a list of directional traces with full traceability is constructed. This list of directional traces completely covers the exudation trend throughout the entire wound healing process in chronological order, including both the upward trend during the exudation intensification phase and the downward trend during the exudation reduction phase, with all trend segments remaining continuous and without omissions. This list of directional traces, characterized by time traceability and trend localization, can serve as an important data source for subsequent identification of abnormal exudation changes, identification of risk areas, and adjustment of dressing changes. The list of directional traces is not only organized with trend segments as the smallest granularity, but also retains data markers for multiple dimensions such as the duration, start and end positions, and magnitude of exudation changes for each trend, giving the entire wound exudation evolution process a clear timeline visual structure, thereby improving the timeliness and accuracy of subsequent data interpretation and decision-making intervention.

[0026] Based on the list of directional traces, the section where the exudate decreases and the exudate is densely distributed is determined. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are simultaneously acquired. The monitoring information is superimposed to form a multidimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. To avoid misjudging the state by relying solely on changes in exudation, after the list of directional traces is formed, multi-dimensional information is overlaid to characterize the stage of decreasing exudation, in order to identify the critical time window where exudation decreases but potential risks continue to accumulate. The specific implementation steps are as follows: Based on the complete chronologically generated list of directional traces, all exudate decrease indicators in the list are centrally analyzed. Multiple exudate decrease indicators with consecutive temporal adjacencies are combined and analyzed. Using the time axis as a benchmark, the time ranges in which exudate decrease indicators appear consecutively or frequently in the directional trace list are identified, thus determining the densely distributed segments of exudate decrease indicators. In this process, the original chronological structure of the directional trace list is maintained; only the decrease indicators are filtered and aggregated. This ensures that the identified densely distributed segments fully reflect the stage-specific characteristics of wound exudate consisting of multiple consecutive decreasing trends, providing a clear temporal positioning basis for the subsequent introduction of multidimensional information.

[0027] After locating the densely distributed area indicating a decrease in exudate, multidimensional sensory information closely related to the wound condition was simultaneously acquired around this area, including wound temperature gradient, wound color gradient, and wound odor indicators. Specifically, the wound temperature gradient was obtained by continuously recording temperature changes at different locations and times on the wound, forming a gradient description reflecting the local heat distribution and trends of the wound; the wound color gradient was obtained by continuously depicting the changes in wound surface color over time and space, reflecting the evolution of the wound tissue state; and the wound odor indicators were obtained by continuously sensing changes in odor in the local air environment around the wound, recording the indicative characteristics of odor appearance, intensification, or change. The acquisition of all the above multidimensional information was strictly limited to the time range corresponding to the densely distributed area indicating a decrease in exudate, thus ensuring the consistency and alignment of various monitoring information over time.

[0028] After simultaneously acquiring wound temperature gradients, wound color gradients, and wound odor indicators within the densely distributed area indicating a decrease in exudate, the various monitoring information is superimposed and integrated along a unified time axis. This allows the decreasing trend of exudate to correspond with changes in wound temperature, color, and odor within the same time dimension, thus forming a multidimensional risk characterization result. During this superposition process, the monitoring information is not reduced or simplified; rather, its original change characteristics are maintained, ensuring that the multidimensional risk characterization result comprehensively reflects the overall changes in the local wound environment against the backdrop of decreasing exudate. Through this superposition method, the multidimensional risk characterization result can reveal whether, while the apparent exudate decreases, the wound is still accompanied by abnormal temperature changes, color evolution, or changes in odor indicators, thereby presenting the correlation between changes in exudate and other wound condition information.

[0029] Based on the obtained multidimensional risk characterization results, a comprehensive judgment is made on the densely distributed areas of exudate reduction. When the multidimensional risk characterization results show that the exudate reduction trend and the risk changes reflected by wound temperature gradient, wound color gradient, and wound odor indicators are concentrated in the same time period, this time period is identified as a reversal suspected window of exudate reduction and risk aggregation. This reversal suspected window is used to characterize the time window in which local wound risks are still in a state of aggregation or evolution under the appearance of exudate reduction. Its time range is directly inherited from the densely distributed areas of exudate reduction and superimposed with the risk characteristics reflected by the multidimensional risk characterization results. This reversal suspected window can serve as an important basis for subsequent monitoring rhythm adjustment and further trend identification, thus providing a reliable time positioning basis for early perception of potential abnormal evolution during wound repair.

[0030] The monitoring frequency and density of exudate volume are adjusted around the suspected reversal window. After inserting a short silent interval, resampling is performed. The resampling data captures two types of changing trends: a rapid rebound trajectory after the exudate volume decreases and a continuous passivation trajectory after the decrease. Based on the changing trends, latent diffusion fingerprints are generated. To identify the specific evolutionary trajectory of wound exudate changes within the established reversal window and enhance the early detection of potential infection spread, the following techniques can be used to adjust the exudate collection method. This allows for the capture of different trends in exudate levels after a decrease, generating a latent spread fingerprint for subsequent dressing change decisions. The specific steps are as follows: With the suspected inversion window clearly defined, the rhythm and density of the conventional exudate collection method, originally based on uniform time intervals, were adjusted according to the start and end range of this time window. The original collection frequency was increased in stages to more accurately capture subtle fluctuations in exudate volume. The adjustment method involved dividing the suspected inversion window into multiple equally spaced sampling nodes, with each node spaced shorter than the conventional sampling cycle. Simultaneously, a short silent interval was preset as the sampling gap to reduce disturbance to the local microenvironment caused by continuous sampling. This rhythm and density adjustment resulted in higher temporal resolution of the exudate data within this critical time period, facilitating a more sensitive response to sudden or subtle changes in wound condition.

[0031] After adjusting the monitoring rhythm and density, resampling is performed within the suspected reversal window according to the set rhythm. Each resampling maintains temporal continuity with the previous data recording point, ensuring comparability and continuity between sampled data. The data set obtained from resampling is used to construct a resampling data sequence covering the suspected reversal window. This data sequence further refines the original exudation trend band, possessing a denser time scale and higher information granularity, which helps reflect the subsequent changes in exudation after the downward trend and reveals potential rebound or lag phenomena.

[0032] Based on resampled data sequences, a focused analysis was conducted on the exudate variation trend within the suspected reversal window, identifying trajectory characteristics exhibiting different evolutionary paths. When the resampled data shows an exudate volume shifting from a decrease to a rapid increase across multiple consecutive time points, with the rate of increase exceeding the rate of decrease in the previous stage, it can be categorized as a rapid rebound trajectory after an exudate volume decrease. Conversely, when the resampled data shows an exudate volume decreasing and then remaining at a low level across multiple time points, with a persistent lack of restorative growth, it can be categorized as a sustained stagnation trajectory after an exudate volume decrease. The former reflects the potential for a new exudate peak to be triggered in a short period, suggesting a possible risk of rapid infection spread; the latter may indicate the presence of inflammatory retention in deeper tissues that has not manifested through exudation, suggesting a possible risk of closed infection development.

[0033] Based on the resampled data sequence contained in the suspected reversal window and the two types of change trajectories they exhibit, the rapid rebound trajectory and the continuous blunting trajectory are categorized and labeled according to their start and end points, direction of change, duration, and exudation amplitude on the time axis, thus constructing a latent diffusion fingerprint. This latent diffusion fingerprint, as an important descriptive structure reflecting the subsequent evolution trend of wound exudation reduction, not only includes the qualitative category of the trajectory but also integrates multiple dimensions of parameters such as time span, rate of change, and directional continuity, enabling it to realistically characterize the trajectory features of the latent evolution of the infection process. The generation of the latent diffusion fingerprint relies not only on the original data of exudation changes but also on the monitoring rhythm density and data acquisition method in the suspected reversal window. It is a deep data structure formed by the combined effect of the exudation trend band and high-frequency sampling results, providing core decision-making basis for subsequent dressing change time series planning and control.

[0034] Based on the latent diffusion fingerprint, the time sequence of wound dressing change related operations is rearranged. The debridement, dressing change and local antibacterial treatment actions are written into a unified timeline according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. After resampling and identifying the trend of exudation changes within the suspected reversal window and generating a latent diffusion fingerprint, in order to achieve dynamic linkage between wound care practices and the actual wound repair status, it is necessary to rearrange the original dressing change procedures in chronological order based on the diffusion evolution characteristics reflected in the latent diffusion fingerprint. This involves incorporating debridement, dressing changes, and local antibacterial treatments into a unified timeline system, constructing a dressing change intervention trigger sequence that can be triggered point-by-point according to changes in exudation trends. The specific steps are as follows: Given the established latent diffusion fingerprint, each trajectory segment within the fingerprint is read individually, and its specific starting position, evolution direction, duration, and logical continuity with preceding and following trajectories are extracted on the timeline. Each trajectory segment in the latent diffusion fingerprint reflects the downward and then differentiated trend of wound exudate volume within a specific time interval. This trend can be a rapid rebound trajectory or a continuous blunting trajectory, both pointing to potential infection spread risks during wound surface repair. By sorting out the temporal sequence of these trajectory segments and aligning them with the aforementioned exudate trend bands and suspected reversal windows, the temporal logical relationship between the trajectory segments is established, providing a basic reference framework for subsequently incorporating nursing actions into the timeline. The focus of this stage is to utilize the temporal clustering and spatial density characteristics of the latent diffusion fingerprint to identify the triggering time window for each potential abnormal evolution, thereby achieving a precise correspondence between nursing interventions and exudate evolution trends.

[0035] Based on the temporal localization results of the latent diffusion fingerprint, and according to the intervention nature and priority of nursing operations in addressing the risk of wound infection, functional analysis was performed on debridement, dressing change, and local antibacterial treatment, and their intervention order was matched with the order of occurrence of trajectory segments. Specifically, when the trajectory segment in the latent diffusion fingerprint shows a rapid rebound trajectory, and there is a sharp change in exudate or an increase in temperature gradient in the preceding segment, debridement can be prioritized as the first triggering action for that trajectory segment; if the trajectory segment is a continuously dulled trajectory, and the odor indicator shows slight changes without significant fluctuations, local antibacterial treatment can be prioritized to block potential deep infection; if the trajectory segment is at the intersection of multiple diffusion paths, or shows continuous accumulation of exudate and the dressing adsorption is close to the saturation threshold, the dressing change action is inserted in the middle of the trajectory segment as a key measure for releasing adsorption pressure and updating the wound environment. In this way, the order of nursing actions is no longer based on a fixed schedule or operating procedure, but is completely subject to the actual wound repair rhythm revealed by the latent diffusion fingerprint, so that the dressing change behavior is transformed into a responsive intervention to the data trajectory, forming a rearrangement logic with data guidance as the core.

[0036] After binding the debridement, dressing change, and local antibacterial treatment actions to the latent diffusion fingerprint trajectory segments, all binding results are written into a unified timeline, forming an intervention behavior arrangement map covering the entire wound repair process. The timeline adopts a continuous, step-by-step format, spanning all latent diffusion fingerprint segments. It incorporates the trigger time, execution duration, waiting period between consecutive actions, and mutual exclusion relationships between preceding and following operations for each nursing action, forming a structure that automatically refreshes or updates based on trajectory segment changes. At each trigger point on the timeline, not only is the corresponding nursing action category recorded, but the attached latent diffusion fingerprint trajectory information is also marked, so that subsequent behavior control steps execute the corresponding actions sequentially according to the time point. This unified timeline can simultaneously support the parallel response structure of multiple latent diffusion fingerprint trajectories, enabling multi-point synchronous responses to different evolutionary trends in complex wound repair paths. It is particularly suitable for clinical scenarios with large wound areas, high heterogeneity, or multiple possible bifurcations in infection pathways.

[0037] Based on the established unified timeline, a dressing change intervention trigger sequence is constructed using this timeline as a framework. The core characteristics of this sequence are: its temporal order is entirely based on the trajectory segment structure of the latent diffusion fingerprint, rather than a fixed-duration periodic plan; its action types are dynamically determined based on trajectory feature matching principles, rather than a single standard procedure; and its response paths are differentiated according to the risk distribution of trajectory evolution, rather than simultaneously handling all nursing elements. This dressing change intervention trigger sequence possesses a combination of compliant, differentiated, and synchronous characteristics, enabling the initiation of nursing actions at the trigger point of the latent diffusion fingerprint and adjusting the dressing change frequency, action sequence, and operational intensity based on the continuity of the actual trajectory. By sequentially arranging the three core actions—debridement, dressing replacement, and local antibacterial action—as needed, dressing change becomes a finely responsive process that can be dynamically adjusted according to the wound's evolution trajectory. This achieves precise matching of nursing resources with the wound's condition, improves the overall intervention efficiency and treatment timeliness of dressing changes, and provides high-quality temporal support for subsequent dynamic control phases.

[0038] Based on the dressing change intervention trigger sequence, the threshold window rolling disk is dynamically adjusted. The threshold window rolling disk moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint. By compressing the dressing change time interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel, the dressing change behavior and the wound repair rhythm are dynamically linked. Having established a trigger sequence for dressing change intervention and clarified the triggering time of each nursing action, to achieve dynamic synchronization between dressing change behavior and the actual wound healing rhythm, a threshold window rolling disc is activated for dynamic control based on the distribution pattern of each nursing action in the dressing change intervention trigger sequence. Through this control process, dressing change behavior can adapt to the evolution trend of wound healing, intervening earlier during the latent stage of infection spread and appropriately delaying intervention during the tissue recovery and stabilization stage, thus comprehensively improving the responsiveness and intervention adaptability of nursing operations. The specific steps are as follows: With the complete generation of the dressing change intervention trigger sequence, the initial forward movement mechanism of the threshold window rolling disk is initiated based on the binding information of various nursing actions and latent diffusion fingerprints marked in the sequence. This forward movement mechanism is primarily regulated by the spatial density and temporal clustering of the latent diffusion fingerprints. Spatial density measures the frequency of the distribution of latent diffusion fingerprint trajectories on the wound surface area within a specific time period, while temporal clustering describes whether the trajectories exhibit a concentrated outbreak or superposition trend on the time axis. When the spatial density shows dense superposition of trajectories in a local area, or when the temporal clustering shows multiple trajectories appearing successively within a short time interval, the threshold window rolling disk will move forward into that interval to cover the potential infection outbreak area in advance, allowing the dressing change intervention to enter the early response phase. The forward movement amplitude is flexibly stretched according to the degree of trajectory superposition and clustering trend to ensure that the dynamic advancement trajectory of the threshold window rolling disk conforms to the actual evolution direction of wound repair.

[0039] After the threshold window rolling disc completes its initial forward movement and effectively overlaps with the latent spread fingerprint trajectory segment, the dressing change interval is reconfigured based on the newly formed overlapping segment. The original dressing change rhythms were mostly based on equal-cycle planning, which could not cope with sudden changes in potential risks. Therefore, at this stage, the dressing change interval needs to be dynamically compressed. Specifically, the trigger points for nursing actions within the coverage area of ​​the threshold window rolling disc are rearranged, bringing the execution cycles of multiple nursing actions within the same trajectory segment closer together, shortening the waiting time between actions, and allowing continuous interventions to be pre-treated before the infection spread accelerates. During the compression of the dressing change interval, the action sequence remains unchanged, but the execution time points are adjusted in an aggregated manner to enhance the effectiveness of continuous intervention. Furthermore, compressing the dressing change interval can also serve as an emergency response strategy for signs of acute wound deterioration, providing a time advantage in preventing the spread of infection.

[0040] While adjusting the dressing change intervals, to prevent obstruction of wound tissue drainage or excessive compression of the drainage path by the dressing structure due to continuous nursing procedures, measures to extend the wound drainage gaps must be implemented simultaneously. A drainage gap refers to a time window between continuous nursing actions that provides natural drainage, ventilation, or buffering for the wound tissue. Within the area covered by the threshold window rolling tray, based on the fluid accumulation trend and odor indicator changes shown by the latent diffusion fingerprint trajectory, the time difference between individual nursing actions is appropriately extended to reserve sufficient drainage channels. This prevents a decrease in drainage efficiency due to overly dense nursing actions and also establishes a phased drainage release rhythm, helping to maintain the stability of the local wound environment. The extension of the drainage gaps is personalized based on the fluid retention performance of the trajectory segment and the dressing's absorption saturation trend, ensuring that nursing actions are consistent with the wound drainage rhythm.

[0041] After compressing the dressing change interval and extending the drainage gap, to improve the precision of local fluid control during dressing changes, it is necessary to adjust the opening of the dressing's release channels based on the risk level of the trajectory segment covered by the latent diffusion fingerprint. The adjustment of the release channel opening serves to control the efficiency of fluid conduction, adsorption, and release within the dressing structure according to changes in wound exudation intensity and fluid flow rate. During the forward movement of the threshold window rolling disc, if the trajectory segment exhibits a rapid rebound and a sharp increase in exudation within a short period, the release channel opening needs to be adjusted to a larger value to enhance the rapid response to peak fluid levels. If the trajectory segment exhibits a continuously blunted trajectory, with exudation remaining low for an extended period but the risk persisting, the release channel opening can be controlled at a moderately low level to slow fluid leakage, maintain a stable local micro-moist environment in the wound, and prevent excessive dryness from affecting tissue regeneration. The dressing release channel is adjusted to dynamically adapt to the actual state of the wound, rather than using a preset value as a conventional benchmark. Instead, it is adjusted synchronously with the position of the threshold window rolling plate, making the dressing itself part of the dynamic response structure and truly realizing the linkage between the dressing behavior and the wound state.

[0042] This invention introduces a list of exudate trend bands and directional traces, enabling the analysis of wound exudate changes to move beyond simple numerical judgments and instead identify trends over time. The potential risk status represented by a decrease in exudate volume can be dynamically captured during the trajectory generation stage, ensuring that the clinical response to infection evolution no longer lags behind the appearance of surface symptoms, thus enhancing the prospective identification capability of deeper risk changes.

[0043] This invention, based on the identification of latent diffusion fingerprints, achieves the transformation of dressing change behavior from a static operation to a continuously adjustable path through the dynamic linkage of the dressing change intervention trigger sequence and the threshold window rolling plate. The timing, rhythm, and intensity of nursing operations can be adjusted in real time according to the wound healing status, avoiding excessive interference with wound tissue during dressing changes, while reducing the spread of infection caused by intervention delays, making the entire dressing change process more in line with the wound's own healing rhythm.

[0044] This invention provides, for example Figure 2 The wound repair dynamic monitoring and dressing change system shown includes an exudate trend generation module, a risk window identification module, a diffusion fingerprint generation module, a dressing change sequence construction module, and a dynamic control execution module. The exudation trend generation module continuously collects the amount of exudate from the wound during the wound repair process. The collected data is arranged in chronological order to form an exudation trend band. The module extracts the upward and downward exudation direction indicators from the exudation trend band and generates a list of directional traces containing all the direction indicators. The risk window identification module determines the section where the exudate decreases and the exudate is densely distributed based on the list of directional traces. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are acquired simultaneously. The monitoring information is superimposed to form a multi-dimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. The diffusion fingerprint generation module adjusts the monitoring rhythm density of exudate volume around the inverted suspected window, inserts a short silent interval and then performs resampling. It captures two types of changing trends through the resampling data: the rapid rebound trajectory after the exudate volume decreases and the continuous passivation trajectory after the decrease. Based on the changing trends, it generates a latent diffusion fingerprint. The dressing change sequence construction module rearranges the time sequence of wound dressing change-related operations based on the latent diffusion fingerprint. It writes the debridement action, dressing change action and local antibacterial treatment action into a unified time axis according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. The dynamic control execution module initiates dynamic control of the threshold window rolling disk based on the dressing change intervention trigger sequence. The threshold window rolling disk moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint. By compressing the dressing change time interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel, the dressing change behavior and the wound repair rhythm are dynamically linked.

[0045] The wound repair dynamic monitoring and dressing change method provided in this embodiment of the invention is implemented through the above-mentioned wound repair dynamic monitoring and dressing change system. For details of the specific methods and procedures of the wound repair dynamic monitoring and dressing change system, please refer to the above-mentioned embodiment of the wound repair dynamic monitoring and dressing change method, which will not be repeated here.

[0046] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for dynamic monitoring and dressing change of wound repair, characterized in that, Includes the following steps: The amount of exudate from the wound during the wound repair process is continuously collected. The collected data is arranged in chronological order to form an exudate trend band. The upward and downward exudate directions are extracted from the exudate trend band, and a list of directional traces is generated. Based on the list of directional traces, the section where the exudate decreases and the exudate is densely distributed is determined. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are simultaneously acquired. The monitoring information is superimposed to form a multidimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. The monitoring frequency and density of exudate volume are adjusted around the suspected reversal window. After inserting a short silent interval, resampling is performed. The resampling data captures two types of changing trends: a rapid rebound trajectory after the exudate volume decreases and a continuous passivation trajectory after the decrease. Based on the changing trends, latent diffusion fingerprints are generated. Based on the latent diffusion fingerprint, the time sequence of wound dressing change related operations is rearranged. The debridement, dressing change and local antibacterial treatment actions are written into a unified timeline according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. Based on the dressing change intervention trigger sequence, the threshold window rolling disc is dynamically adjusted. The threshold window rolling disc moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint, thereby compressing the dressing change interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel.

2. The dynamic monitoring method for wound repair of claim 1, wherein, The steps for generating the direction trace list are as follows: The amount of exudate from the wound is continuously collected. By setting up a dressing structure with liquid absorption capacity and a contact sensing element, the change value of exudate per unit time is obtained and a data set is formed. The data set is arranged in chronological order of collection time, and a seepage trend band is constructed based on the numerical differences over time. The direction of change of seepage amount over time is marked in the seepage trend band. Extract data segments from the seepage trend zone that are continuous in direction, sustained in time, and consistent in value change, and classify them into seepage increase direction and seepage decrease direction. The extracted exudate increase and decrease directional indicators are sequentially combined according to the time series to generate a list of directional traces, which are used for retrospective identification of exudate trends and reference for dressing change decisions.

3. The dynamic monitoring method for wound repair of claim 2, wherein, The steps to generate a reversed suspected window are as follows: Based on the continuous arrangement or high frequency of the direction of the decrease in exudation in the list of directional traces, the section where the direction of the decrease in exudation is densely distributed is determined. Around the section where the exudate volume decreases and the volume is densely distributed, obtain the wound temperature gradient, wound color gradient and wound odor indicators; The wound temperature gradient, wound color gradient, and wound odor indicators are superimposed on the time axis to form a multi-dimensional risk characterization result; Based on the concentrated changes in the densely distributed area indicating a decrease in exudate volume according to the multidimensional risk characterization results, a potential reversal window was determined as the time window for risk evolution.

4. The method for dynamic monitoring and dressing change of wound repair according to claim 3, characterized in that, Wound temperature gradient is formed by continuously recording temperature changes at different locations and times; wound color gradient is formed by depicting changes in surface color over time and space; and wound odor indicators are generated by sensing changes in odor in the air.

5. The dynamic monitoring method for wound repair of claim 3, wherein, The steps for generating a latent diffusion fingerprint are as follows: Sampling nodes were divided around the suspected inversion window, and short silent intervals were inserted to adjust the sampling rhythm density of exudate. Based on the adjusted rhythm density, a resampling operation is performed to construct a resampling data sequence covering the suspected inversion window; Based on the resampled data sequence, two types of trends were identified: a rapid rebound trajectory after a decrease in exudate and a continuous passivation trajectory after a decrease in exudate. The trajectories of the two types of change trends are summarized and marked according to the start and end points, direction of change, duration and exudation amplitude on the time axis to generate latent diffusion fingerprints.

6. The dynamic monitoring method for wound repair of claim 5, wherein, The inserted short-term silent interval is set between adjacent sampling nodes to reduce the disturbance of the wound microenvironment to continuous sampling and to enhance the sensitivity of resampling data to small fluctuations in exudate.

7. The dynamic monitoring method for wound repair of claim 5, wherein, The steps for generating the intervention trigger sequence for dressing change are as follows; Based on the reading of the starting position, evolution direction and duration of each trajectory segment on the time axis by latent diffusion fingerprint, a time correspondence between latent diffusion fingerprint and infiltration trend zone and reversal suspected window is established. Based on the sequence of occurrence of the trajectory segments reflected by the latent diffusion fingerprint, the functions of debridement, dressing change and local antibacterial treatment were matched, and the order of intervention of each nursing action was determined. The completed debridement, dressing change and local antibacterial treatment actions are written into a unified timeline, so that each nursing action is linked to the corresponding latent diffusion fingerprint trajectory in time. Based on the arrangement of nursing actions in a unified timeline, a dressing change intervention trigger sequence is constructed to drive the sequential execution of wound dressing change operations.

8. The dynamic monitoring method for wound repair of claim 7, wherein, In the dressing change intervention trigger sequence, the debridement action is triggered at the beginning of the rapid rebound trajectory, the dressing change action is triggered in the middle of the trajectory, and the local antibacterial treatment action is triggered in the continuous blunting trajectory.

9. The dynamic monitoring method for wound repair of claim 7, wherein, Based on the dressing change intervention trigger sequence, the threshold window rolling disc is dynamically adjusted. The threshold window rolling disc moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint, performing the following steps to compress the dressing change interval, extend the wound drainage gap, and adjust the opening of the dressing release channel: Based on the binding information between nursing actions and latent diffusion fingerprints in the dressing change intervention trigger sequence, the threshold window roll disk is activated and moved forward according to spatial density and temporal aggregation. Based on the overlap of the threshold window roll plate and the latent diffusion fingerprint trajectory segment, the dressing change time interval is reconfigured and the nursing action trigger point is adjusted in an aggregate manner; During the adjustment of dressing change intervals, extend the gaps in wound drainage between nursing actions to maintain fluid drainage from the wound tissue and local environmental stability; Based on the risk level of the latent diffusion fingerprint trajectory segment, the opening of the dressing release channel is adjusted to keep the dressing change behavior and the wound repair rhythm dynamically linked.

10. A wound surface repair dynamic monitoring dressing change system for implementing the wound surface repair dynamic monitoring dressing change method according to any one of claims 1-9, characterized in that, It includes a module for generating exudation trends, a module for identifying risk windows, a module for generating diffusion fingerprints, a module for constructing dressing change sequences, and a module for executing dynamic control. The exudation trend generation module continuously collects the amount of exudate from the wound during the wound repair process. The collected data is arranged in chronological order to form an exudation trend band. The module extracts the upward and downward exudation direction indicators from the exudation trend band and generates a list of directional traces. The risk window identification module determines the section where the exudate decreases and the exudate is densely distributed based on the list of directional traces. Within this section, the wound temperature gradient, wound color gradient, and wound odor indicators are acquired simultaneously. The monitoring information is superimposed to form a multi-dimensional risk characterization result, and the reversal suspected window where exudate decreases and risk clusters are identified. The diffusion fingerprint generation module adjusts the monitoring rhythm density of exudate volume around the inverted suspected window, inserts a short silent interval and then performs resampling. It captures two types of changing trends through the resampling data: the rapid rebound trajectory after the exudate volume decreases and the continuous passivation trajectory after the decrease. Based on the changing trends, it generates a latent diffusion fingerprint. The dressing change sequence construction module rearranges the time sequence of wound dressing change-related operations based on the latent diffusion fingerprint. It writes the debridement action, dressing change action and local antibacterial treatment action into a unified time axis according to the order of appearance of the latent diffusion fingerprint, forming a dressing change intervention trigger sequence. The dynamic control execution module initiates dynamic control of the threshold window rolling disk based on the dressing change intervention trigger sequence. The threshold window rolling disk moves forward according to the spatial density and temporal aggregation of the latent diffusion fingerprint, thereby compressing the dressing change time interval, extending the wound drainage gap, and adjusting the opening of the dressing release channel.

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