A wound bacterial monitoring device

Abstract

The application discloses a kind of wound bacterial monitoring devices, comprising: light source, detection module, data analysis processing module;Light emitted by light source irradiates to measured substance, and the bacteria of the wound of measured substance under the irradiation of light source, the light signal generated is collected by detection module, and the data collected includes spectral data;Data analysis processing module obtains the data collected by detection module;And data analysis processing module has the program of wound bacterial detection method in memory, when obtaining spectral data, execute wound bacterial detection method, to obtain wound bacterial load and species information.The application is based on the self-fluorescence characteristics of bacteria, realizes the rapid, classification identification of bacteria.

Description

Technical Field

[0001] This invention relates to the field of biomedical engineering technology, specifically to a wound bacterial monitoring device. Background Technology

[0002] Wound infection refers to a disease caused by the invasion and proliferation of pathogenic bacteria within a wound after trauma or surgery, resulting in a local or even systemic inflammatory response. Bacterial infection triggers the body's immune response, causing inflammation and tissue damage. Some infections, if left untreated, can become more severe and even life-threatening. Bacterial infections cause wounds to heal slowly, causing not only physical suffering and financial burden on patients but also placing a heavy burden on healthcare institutions worldwide. Rapid and accurate determination of the types and viral load of bacteria in infected wounds, along with recording changes in wound characteristics, is crucial for the control and treatment of wound infections.

[0003] Currently, routine wound assessment in clinical practice primarily relies on visual evaluation by physicians, which is inherently subjective and uncertain. The gold standard for infection diagnosis is determining the bacterial load and species in a wound through surface swab culture. However, the selection of the sampling area and the specific sampling method can lead to missed areas of bacterial load, resulting in false negatives. Furthermore, swab sampling typically takes 2 to 5 days to produce results, during which time the infection may have spread or the dominant microbiota may have changed, leading to significant errors in the results. Swab culture is invasive, time-consuming, and requires specific operating conditions, making it inconvenient for routine clinical use in hospitals. Moreover, bacterial dormancy during culture is significant, further limiting its clinical application. Additionally, determining whether wound debridement is necessary and whether it is thorough currently relies solely on the subjective judgment of healthcare professionals, which can easily lead to inaccurate or incomplete sterilization during debridement. Therefore, a new technology is urgently needed to assist clinicians in rapidly identifying bacterial species and load in clinical bacterial detection and infection assessment.

[0004] Currently, there are also some bacterial detection technologies, such as polymerase chain reaction (PCR), immunoassay, chromatography, mass spectrometry, and electrochemical sensing. These technologies have made some improvements in detection sensitivity and detection time compared to traditional methods, but they still have a series of problems such as complex operation and expensive equipment.

[0005] Patent publication number CN114627067A discloses a wound area measurement and auxiliary diagnosis method based on image processing. This invention uses image processing to detect wound edges and calculate the wound area. After identifying the wound type, it can further identify whether the wound is a complex wound and which types of wounds are involved. Patent publication number CN104287738A discloses a device and method for calculating wound area. This invention can quickly and accurately calculate the wound area by referring to dressing accessories and combining image calculation methods. The above patents only provide wound area information and do not provide information on the types and loads of bacteria, which are important factors leading to wound infection. Patent publication number CN115728286A discloses a multi-dimensional bacterial spectrum acquisition method, bacterial identification method, and application device. This invention measures bacterial suspensions, which is an in vitro measurement method and requires bacterial lysis treatment of the bacterial suspension, making the entire process time-consuming. Summary of the Invention

[0006] The technical problem to be solved by this invention is to address the issues of existing bacterial diagnostic techniques being invasive, unable to provide effective information in real time, and having long detection times.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] A wound bacteria monitoring device includes: a light source 10, a detection module 20, and a data analysis and processing module 30;

[0009] The light emitted by the light source 10 illuminates the test substance 40. The light signal generated by the wound bacteria of the test substance 40 under the illumination of the light source is collected by the detection module 20. The collected data includes spectral data. The data analysis and processing module 30 acquires the data collected by the detection module 20. The data analysis and processing module 30 stores a program for wound bacteria detection method. When acquiring spectral data, the wound bacteria detection method is executed to obtain information on wound bacterial load and type.

[0010] In one embodiment of the present invention, the wound bacterial detection method includes a method for detecting wound bacterial load and species information:

[0011] The acquired spectral data is preprocessed;

[0012] The preprocessed spectral data is then extracted from the characteristic spectral regions.

[0013] Spectral data within the characteristic spectral region are input into the optimal bacterial classification and quantification model to obtain information on wound bacterial load and species.

[0014] The process of obtaining the optimal bacterial classification and quantification model and the characteristic spectral region includes:

[0015] S10: Collect spectral data of bacteria with different loads and types. After preprocessing the spectral data of bacteria with different loads and types, construct a spectral sample dataset from the preprocessed spectral data and divide it into training set and test set.

[0016] S20, Establish a bacterial classification and quantification model based on support vector machine;

[0017] S30: For each spectral data in the training set, a sliding window is used to traverse and divide each spectral data into several fixed-size spectral data regions. The obtained spectral data regions are then input into the bacterial classification and quantification model for training to find the region with the highest classification accuracy.

[0018] S40: For each spectral data in the test set, use the method in step S30 to find the region with the highest classification accuracy;

[0019] S50, the region in which the bacterial classification quantification model achieves a preset standard in both the training and test sets is used as the feature spectral region for bacterial identification and classification.

[0020] S60, combine the spectral data of the characteristic spectral regions into a new spectral sample dataset;

[0021] S70, then use the new spectral sample dataset to train the bacterial classification and quantification model to obtain the optimal bacterial classification and quantification model.

[0022] In one embodiment of the present invention, the light source 10 is a combination of one or more light sources that emits fluorescence; the detection module 20 is a device or a combination of devices capable of decomposing light into light of different wavelengths and measuring the position and relative intensity of spectral lines.

[0023] In one embodiment of the present invention, the light source 10 includes a white light source and a fluorescent excitation source; and the wound bacteria detection method further includes a bacterial location and load labeling detection method; the detection module 20 includes an integrated structure and a combined structure;

[0024] When the detection module 20 is an integrated structure, the detection module 20 can simultaneously acquire image data and spectral data;

[0025] During detection, the white light source and the fluorescent excitation source are turned on alternately, and the detection module 20 acquires white light images and fluorescent images; the data analysis and processing module 30 first executes the wound bacteria detection method and then executes the bacterial location and load labeling detection method.

[0026] Among them, fluorescence images are used to obtain information on the bacterial load and species in wounds; and spectral data are extracted from fluorescence images before performing wound bacterial detection methods.

[0027] And methods for performing bacterial location and load labeling detection, including:

[0028] The white light image and the fluorescence image are registered and aligned in the same coordinate system using a spatial registration algorithm.

[0029] After registration, the fluorescence signal in the fluorescence image is mapped to a specific color and superimposed on the white light image to obtain a fused image;

[0030] The distribution of fluorescence intensity in the wound was displayed by fusion images, and the location of the wound was marked.

[0031] In one embodiment of the present invention, the wound bacteria monitoring device includes a probe 50; the probe 50 includes a light source transmission optical path device 51, a signal receiving optical path device 52, and a probe handle 53;

[0032] Among them, one end of the light source transmission optical path device 51 is connected to the light source 10, and the other end is connected to the probe handle 53; one end of the signal receiving optical path device 52 is connected to the probe handle 53, and the other end is connected to the detection module 20; the probe handle 53 is movable;

[0033] The probe handle 53 is brought close to the substance 40 to be tested for detection; the light beam emitted by the light source 10 is irradiated by the light source transmission optical path device 51 after passing through the light source transmission optical path device 51. The bacteria on the substance 40 produce autofluorescence under the illumination of the light source, and the fluorescence is transmitted to the detection module 20 after passing through the signal receiving optical path device 52.

[0034] In one embodiment of the present invention, the light source transmission optical path device 51 and the signal receiving optical path device 52 are transmitted via an optical fiber.

[0035] In one embodiment of the present invention, when the detection module 20 is a combined structure, the detection module 20 includes an image acquisition module 21 and a spectrum acquisition module 22; and the light source 10 has a fluorescence beam path, so that a portion of the fluorescence emitted by the fluorescence excitation light source directly irradiates the substance 40 to be tested, and the other portion is detected by the probe 50 to detect the substance 40 to be tested.

[0036] During detection, the white light source and the fluorescence excitation source are turned on alternately. The image acquisition module 21 acquires white light images and fluorescence images, and the spectral acquisition module 22 acquires spectral data.

[0037] The data analysis and processing module 30 acquires white light images, fluorescence images, and spectral data, and simultaneously executes wound bacterial detection methods and bacterial location and load labeling detection methods.

[0038] In one embodiment of the present invention, the wound bacteria monitoring device can be applied to wound surfaces, surgical wound drainage fluid, and postoperative drainage scenarios to monitor wound bacteria.

[0039] In one embodiment of the present invention, the wound bacteria monitoring device includes a display module 60; the display module 60 is communicatively connected to the data analysis and processing module 30.

[0040] Compared with existing technologies, the beneficial effects of this invention are: the spectral-based method, by collecting the spectral characteristics and intensity information of autofluorescence, simultaneously obtains information on the types and loads of bacteria in wounds, which is of great significance for the precise treatment of wound infections. Existing imaging methods distinguish between red-lighting and green-lighting bacteria by comparing the amount of red and green fluorescence in the image, but cannot achieve classification and identification.

[0041] The device's fiber optic probe can be flexibly aligned with the area to be detected. Since bacteria have weak autofluorescence, the probe method has higher fluorescence collection efficiency, which is crucial for the detection of bacteria in low-load wounds and plays an important role in the early detection of wound infections.

[0042] The simultaneous acquisition of spectral imaging can obtain wound type and load, as well as wound surface information and record parameters such as wound size, which facilitates the tracking and follow-up of wound recovery. At the same time, the fluorescence image information can guide debridement.

[0043] Simultaneous detection of image and spectral information enables the recording of wound size, bacterial load, and classification at the same time. The light probe acquisition scheme allows for close-range detection, achieving highly sensitive bacterial classification and detection.

[0044] This invention addresses the problems of existing bacterial diagnostic technologies being invasive and unable to provide effective information in real time. It proposes a new wound bacterial monitoring device and method that, based on the autofluorescence properties of bacteria, enables rapid, non-invasive, and classifiable identification of bacteria. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of a wound bacteria monitoring device according to an embodiment of the present invention.

[0046] Figure 2 This is a schematic diagram of a wound bacteria monitoring device with a probe added according to an embodiment of the present invention.

[0047] Figure 3 This is a schematic diagram of the light source according to an embodiment of the present invention.

[0048] Figure 4 This is a schematic diagram of a wound bacteria monitoring device that incorporates a probe and a combined structural detection module, as described in an embodiment of the present invention.

[0049] Figure 5 This is a schematic diagram of a wound bacteria monitoring device with an added display module according to an embodiment of the present invention. Detailed Implementation

[0050] To facilitate understanding of the technical solution of the present invention by those skilled in the art, the technical solution of the present invention will now be further described in conjunction with the accompanying drawings.

[0051] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0052] Example 1: Monitoring of wound surface and bacteria, using spectral technology to classify and identify bacteria.

[0053] Please see Figure 1 As shown, the present invention provides a wound bacteria monitoring device, including a light source 10, a detection module 20, a data analysis and processing module 30, and the detection module 20 and the data analysis and processing module 30 being communicatively connected.

[0054] In this embodiment, the light source 10 may comprise a combination of one or more light sources. The preferred excitation light center wavelength range is 250–450 nm, and more precisely, it can be accurate to 250–280 nm and 385–415 nm. Under excitation light irradiation in this wavelength range, the spectral differences between different bacteria are more pronounced, making bacterial classification and identification easier. The light emitted by the light source 10 can excite the analyte 40 to emit fluorescence.

[0055] In this embodiment, light emitted by the light source 10 illuminates the test substance 40, causing the wound bacteria on the test substance 40 to produce autofluorescence under the illumination of the light source. The fluorescence emitted by the wound is collected by the detection module 20. The detection module 20 is a device or combination of devices capable of decomposing light into light of different wavelengths and measuring the position and relative intensity of spectral lines, such as a spectrometer or spectrometer. The detection module 20 transmits the collected information to the data analysis and processing module 30, which stores a program for wound bacterial detection. When acquiring spectral data, the wound bacterial detection method is executed to obtain information on the wound bacterial load and species.

[0056] In this embodiment, live bacteria possess a large number of intracellular biomolecules related to energy production reactions. These endogenous molecules can produce fluorescence in specific wavelengths when excited by specific wavelengths. This fluorescence produced by endogenous biofluorophores is an inherent property of bacteria and is called bacterial autofluorescence. Different types of bacteria produce fluorescence with different spectral characteristics, and the fluorescence intensity is positively correlated with the bacterial load. Therefore, by detecting the bacterial autofluorescence spectrum, the bacterial species and load information can be obtained based on the spectral characteristics and fluorescence intensity information.

[0057] In this embodiment, the wound bacterial detection method includes methods for detecting wound bacterial load and species information. Specifically, the wound bacterial load and species information detection methods include:

[0058] The acquired spectral data is preprocessed; the preprocessed spectral data is then extracted from the characteristic spectral regions; the spectral data within the characteristic spectral regions are input into the optimal bacterial classification and quantification model to obtain information on wound bacterial load and species. Preprocessing methods include descattering and normalization.

[0059] The process of obtaining the optimal bacterial classification and quantification model and the characteristic spectral region includes:

[0060] S10: Collect spectral data of bacteria with different loads and types. After preprocessing the spectral data of bacteria with different loads and types, construct a spectral sample dataset from the preprocessed spectral data and divide it into training set and test set.

[0061] S20, Establish a bacterial classification and quantification model based on support vector machine;

[0062] S30: For each spectral data point in the training set, a sliding window is used to traverse and divide each spectral data point into several fixed-size spectral data regions. The obtained spectral data regions are then input into the bacterial classification and quantification model for training to find the region with the highest classification accuracy.

[0063] S40: For each spectral data point in the test set, use the method described in step S30 to find the region with the highest classification accuracy.

[0064] S50 defines the region where the bacterial classification quantification model achieves a preset standard in both the training and testing sets as the characteristic spectral region for bacterial identification and classification.

[0065] S60, assembles the spectral data of the characteristic spectral regions into a new spectral sample dataset.

[0066] S70, then use the new spectral sample dataset to train the bacterial classification and quantification model to obtain the optimal bacterial classification and quantification model.

[0067] In this embodiment, as shown in Table 1, the spectral data regions after training and testing of the bacterial classification and quantification model are region 58 and region 183, respectively. The spectral data from these two regions are extracted to form a new bacterial spectral dataset, which is then used to retrain the bacterial classification and quantification model. During wound detection, only the spectral information of the characteristic spectral regions needs to be collected and input into the bacterial classification and quantification model for classification. Extracting the characteristic spectral regions can improve the efficiency of spectral detection and classification.

[0068] Table 1. Regional Accuracy of Spectral Data

[0069]

[0070]

[0071] Example 2: Spectroscopic and imaging schemes to achieve bacterial classification and wound identification.

[0072] The difference from Example 1 is that the light source 10 includes a white light source and a fluorescence excitation source. The white light source is used to irradiate the wound surface of the test substance 40, and the fluorescence excitation source is used to excite the test substance 40 to produce fluorescence. The detection module 20 includes an integrated structure and a combined structure. When the detection module 20 is an integrated structure, it can simultaneously acquire image data and spectral data, specifically, such as a hyperspectral camera or a multispectral camera.

[0073] The wound bacterial detection method also includes a bacterial location and load labeling detection method. During detection, a white light source and a fluorescence excitation source are alternately turned on, and the detection module 20 acquires white light images and fluorescence images. The data analysis and processing module 30 first executes the wound bacterial detection method and then executes the bacterial location and load labeling detection method.

[0074] In this embodiment, fluorescence images are used to obtain information on the bacterial load and species in the wound; and before performing the wound bacterial detection method, spectral data is extracted from the fluorescence images.

[0075] And methods for performing bacterial location and load labeling detection, including:

[0076] S100 uses a spatial registration algorithm to align the white light image and the fluorescence image in the same coordinate system.

[0077] S200: After registration, the fluorescence signal in the fluorescence image is mapped to a specific color and superimposed on the white light image to obtain a fused image.

[0078] The S300 displays the distribution of fluorescence intensity in the wound by fusing images and marks the location of the wound.

[0079] In this embodiment, white light and fluorescence images are fused. This preserves the original wound structure while highlighting the location and intensity of fluorescent markers using color. The fused image provides information on wound size, edges, and depth, and visually displays the distribution of fluorescence intensity. Fluorescence intensity is directly proportional to bacterial load; therefore, areas with stronger fluorescence indicate a higher bacterial content. These areas can be sampled during swab sampling, reducing the probability of false negatives and simultaneously guiding swab sampling. Spectral information provides data on how emitted fluorescence changes with wavelength, allowing for the identification of specific bacterial species on the wound surface based on fluorescence spectral characteristics, thus guiding precise medication.

[0080] Example 3: Spectroscopic and fiber optic probe solution.

[0081] Please see Figure 2 As shown, the difference from Embodiment 1 is that the wound bacteria monitoring device further includes a probe 50. The probe 50 includes a light source transmission optical path device 51, a signal receiving optical path device 52, and a probe handle 53.

[0082] The light source transmission optical path device 51 is connected to the light source 10 at one end and to the probe handle 53 at the other end; the signal receiving optical path device 52 is connected to the probe handle 53 at one end and to the detection module 20 at the other end; and the probe handle 53 is movable. The probe handle 53 has the function of fixing the light source transmission optical path device 51 and the signal receiving optical path device 52, and is also easy for the operator to hold and easy to align with the tissue to be tested.

[0083] Please see Figure 3 As shown, in this embodiment, the light source 10 includes a light source body 11, a filter 12, and a beam coupling and shaping structure 13. The light source body 11 emits fluorescence. After passing through the filter 12, the light emitted by the light source body 11 passes through the beam coupling and shaping structure 13 and is coupled into the light source transmission optical path device 51. After passing through the light source transmission optical path device 51, the beam illuminates the test substance 40. The test substance 40 emits fluorescence / reflected light, which is transmitted to the detection module 20 after passing through the signal receiving optical path device 52. Bacteria have weak autofluorescence, and the probe handle 53 can be brought close to the test substance 40 for detection. The detection distance can be less than 1 cm, resulting in higher fluorescence collection efficiency, which is especially important for the detection of low-volume wound bacteria in the early stage of wound infection.

[0084] In this embodiment, the light source transmission optical path device 51 and the signal receiving optical path device 52 are composed of flexible optical fibers, which can be single-core or multi-core optical fibers. The light source transmission optical path device 51 is connected to the light source body 11 through the beam coupling and shaping structure 13.

[0085] Example 4: Spectroscopic, Imaging, and Fiber Optic Probe Solution

[0086] Please see Figure 4 As shown, the difference from Embodiment 2 is the addition of a probe 50. The detection module 20 has a combined structure, consisting of a spectral acquisition module and an image acquisition module. Specifically, the detection module 20 includes an image acquisition module 21 and a spectral acquisition module 22. The image acquisition module 21 can be a digital camera, camcorder, smartphone or computer with a built-in digital camera, webcam, charge-coupled device (CCD) or complementary metal-oxide-semiconductor (CMOS) sensor, or other device or combination of devices capable of acquiring image information. The spectral acquisition module 22 can be a spectrometer, spectrometer, or other device or combination of devices capable of decomposing light into different wavelengths and measuring the position and relative intensity of spectral lines. The light source 10 has a fluorescence light source spectral dispersive optical path, coupling a portion of the light emitted by the fluorescence light source into the transmission optical path device 51. The probe handle 53 is held close to the substance 40 to be tested, and a portion directly illuminates the substance 40. In this way, the detection module 20 can acquire fluorescence images and spectral data. Furthermore, when the probe 50 is combined with the combined detection module 20, one end of the light source transmission optical path device 51 is connected to the fluorescence excitation light source, and the other end is connected to the probe handle 53. One end of the signal receiving optical path device 52 is connected to the spectral acquisition module 22, and the other end is connected to the probe handle 53. And, undoubtedly, both the image acquisition module 21 and the spectral acquisition module 22 are connected to the data analysis and processing module 30.

[0087] In this embodiment, during detection, the white light source and the fluorescence excitation source are alternately turned on. The white light source directly illuminates the test substance 40, and the image acquisition module 21 acquires the white light image. When the fluorescence source is turned on, part of the fluorescence enters the transmission optical path device 51, and part of the fluorescence directly illuminates the test substance 40. The handheld probe handle 53 is brought close to the test substance 40 for detection. The spectral acquisition module 22 acquires the spectral data, and the image acquisition module 21 acquires the fluorescence image information. The data analysis and processing module 30 acquires the white light image, fluorescence image, and spectral data, and simultaneously executes the wound bacteria detection method and the bacterial location and load labeling detection method.

[0088] Example 5: Monitoring of surgical wound drainage fluid: recording color, amount, and bacterial content.

[0089] The difference from Examples 1-4 lies in the application scenario. Examples 1-4 use wound surfaces as examples, while this example is applied to the monitoring of surgical wound drainage fluid, which can simultaneously monitor the color, bacterial load, and type of the drainage fluid. That is, the substance 40 being tested can be a wound surface on the skin, or a human body fluid sample that may contain bacteria, such as postoperative drainage fluid.

[0090] Example 6

[0091] Please see Figure 5As shown, the difference between embodiments 1-5 is the addition of a display module 60. The display module 60 is communicatively connected to the data analysis and processing module 30.

[0092] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

[0093] The above embodiments are merely examples of implementation methods of the invention. The scope of protection of the present invention is not limited to the above embodiments. For those skilled in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention.

Claims

1. A wound bacterial monitoring device, characterized in that, include: Light source (10), detection module (20), data analysis and processing module (30); The light emitted by the light source (10) shines on the test substance (40). The light signal generated by the wound bacteria of the test substance (40) under the illumination of the light source is collected by the detection module (20). The collected data includes spectral data. The data analysis and processing module (30) acquires the data collected by the detection module (20). The data analysis and processing module (30) stores the program of wound bacteria detection method. When acquiring spectral data, the wound bacteria detection method is executed to obtain information on wound bacterial load and type. Methods for detecting bacteria in wounds include methods for detecting bacterial load and species information in wounds: The acquired spectral data is preprocessed; The preprocessed spectral data is then extracted from the characteristic spectral regions. Spectral data within the characteristic spectral region are input into the optimal bacterial classification and quantification model to obtain information on wound bacterial load and species. The process of obtaining the optimal bacterial classification and quantification model and the characteristic spectral region includes: S10: Collect spectral data of bacteria with different loads and types. After preprocessing the spectral data of bacteria with different loads and types, construct a spectral sample dataset from the preprocessed spectral data and divide it into training set and test set. S20, Establish a bacterial classification and quantification model based on support vector machine; S30: For each spectral data in the training set, a sliding window is used to traverse and divide each spectral data into several fixed-size spectral data regions. The obtained spectral data regions are then input into the bacterial classification and quantification model for training to find the region with the highest classification accuracy. S40: For each spectral data in the test set, use the method in step S30 to find the region with the highest classification accuracy; S50, the region in which the bacterial classification quantification model achieves a preset standard in both the training and test sets is used as the feature spectral region for bacterial identification and classification. S60, combine the spectral data of the characteristic spectral regions into a new spectral sample dataset; S70, then use the new spectral sample dataset to train the bacterial classification and quantification model to obtain the optimal bacterial classification and quantification model.

2. The wound bacterial monitoring device according to claim 1, characterized in that, The light source (10) is a combination of one or more light sources that emits fluorescence; the detection module (20) is a device or combination of devices that can decompose light into light of different wavelengths and measure the position and relative intensity of spectral lines.

3. The wound bacterial monitoring device according to claim 1, characterized in that, The light source (10) includes a white light source and a fluorescent excitation source; and the wound bacterial detection method also includes bacterial location and load labeling detection methods; the detection module (20) includes an integrated structure and a combined structure; When the detection module (20) is an integrated structure, the detection module (20) can simultaneously acquire image data and spectral data; During detection, the white light source and the fluorescent excitation source are turned on alternately, and the detection module (20) acquires white light images and fluorescent images; the data analysis and processing module (30) first executes the wound bacteria detection method and then executes the bacterial location and load labeling detection method; Among them, fluorescence images are used to obtain information on the bacterial load and species in wounds; and spectral data are extracted from fluorescence images before performing wound bacterial detection methods. And methods for performing bacterial location and load labeling detection, including: The white light image and the fluorescence image are registered and aligned in the same coordinate system using a spatial registration algorithm. After registration, the fluorescence signal in the fluorescence image is mapped to a specific color and superimposed on the white light image to obtain a fused image; The distribution of fluorescence intensity in the wound was displayed by fusion images, and the location of the wound was marked.

4. The wound bacterial monitoring device according to claim 2, characterized in that, The wound bacterial monitoring device includes a probe (50); the probe (50) includes a light source transmission optical path device (51), a signal receiving optical path device (52), and a probe handle (53). Among them, one end of the light source transmission optical path device (51) is connected to the light source (10), and the other end is connected to the probe handle (53); one end of the signal receiving optical path device (52) is connected to the probe handle (53), and the other end is connected to the detection module (20); the probe handle (53) is movable; The probe handle (53) is brought close to the test substance (40) for detection; the light beam emitted by the light source (10) is irradiated by the light source transmission optical path device (51) after passing through the light source transmission optical path device (51). The bacteria on the test substance (40) produce autofluorescence under the illumination of the light source, and are transmitted to the detection module (20) after passing through the signal receiving optical path device (52).

5. The wound bacterial monitoring device according to claim 4, characterized in that, The light source transmission optical path device (51) and the signal receiving optical path device (52) are transmitted through optical fiber.

6. The wound bacterial monitoring device according to claim 3, characterized in that, When the detection module (20) is a combined structure, the detection module (20) includes an image acquisition module (21) and a spectrum acquisition module (22); and the light source (10) has a fluorescence spectral path, so that a part of the fluorescence emitted by the fluorescence excitation light source directly irradiates the substance to be tested (40), and the other part is detected by the probe (50) to detect the substance to be tested (40). During detection, the white light source and the fluorescence excitation source are turned on alternately. The image acquisition module (21) acquires white light images and fluorescence images, and the spectral acquisition module (22) acquires spectral data. The data analysis and processing module (30) acquires white light images, fluorescence images and spectral data, and simultaneously performs wound bacterial detection methods and bacterial location and load labeling detection methods.

7. The wound bacterial monitoring device according to claim 1, characterized in that, The wound bacterial monitoring device can be used to monitor wound bacteria in scenarios such as wound surfaces, surgical wound drainage fluid, and postoperative drainage.

8. The wound bacterial monitoring device according to claim 1, characterized in that, The wound bacterial monitoring device includes a display module (60); the display module (60) is communicatively connected to the data analysis and processing module (30).

Images