Wound bacteria monitoring device

Abstract

The invention discloses a wound bacteria monitoring device which comprises a light source, a detection module and a data analysis and processing module, light emitted by the light source irradiates a detected substance, light signals generated by bacteria on the wound surface of the detected substance under the irradiation of the light source are collected by the detection module, and the collected data comprise spectral data; the data analysis processing module obtains data collected by the detection module; and a program of a wound bacterium detection method is stored in the data analysis processing module, and the wound bacterium detection method is executed when the spectral data is acquired so as to obtain the load and type information of wound bacteria. According to the invention, based on the autofluorescence characteristic of bacteria, rapid and classified identification of bacteria is realized.

Description

Technical Field

[0001] The invention relates to the technical field of biomedical engineering, and in particular to a wound bacteria monitoring device. Background Art

[0002] Wound infection refers to a disease in which pathogenic bacteria invade and multiply in the wound after trauma or surgery, causing local or even systemic inflammatory response in the wound. Bacterial infection triggers the body's immune response, causing inflammation and tissue damage. Some infections may become more serious or even life-threatening if not treated promptly. Bacterial infection causes wounds to be unable to heal, which not only brings physical pain and economic pressure to patients, but also imposes a heavy burden on health care institutions around the world. Rapidly and accurately measuring the bacterial species and load of infected wounds and recording changes in wound surface characteristics are of great significance for the control and treatment of wound infections.

[0003] At present, the conventional wound assessment method in clinical practice is mainly assessed by the naked eye of doctors, which has subjective uncertainty. The gold standard for infection diagnosis is to determine the bacterial load and type of wounds by surface swab sampling and culture, but the selection of sampling areas and different sampling methods may miss certain bacterial load areas, resulting in false negative results. In addition, the swab sampling method generally takes 2 to 5 days to obtain test results. At this time, the infection may have spread, or the dominant microbial community may have changed, resulting in a large error in the test results. The swab sampling and culture method is invasive, time-consuming, and has high requirements for the operating environment. There are many inconveniences in routine clinical use in hospitals. Moreover, the dormancy of bacteria during the culture process is very serious. These shortcomings have brought great limitations to the clinical application of this method. In addition, whether the wound needs debridement and whether the debridement is thorough, etc., can only rely on the subjective judgment of medical staff, which is easy to cause inaccurate and incomplete sterilization sites during debridement treatment. Therefore, in clinical bacterial detection and infection judgment, a new technology is urgently needed to assist clinicians in quickly identifying the types and loads of bacteria.

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

[0005] The invention patent with the patent publication number CN114627067A discloses a wound area measurement and auxiliary diagnosis and treatment method based on image processing. The invention calculates the wound area by detecting the wound edge through the image processing method. After identifying the wound type, it can further identify whether the wound is a complex wound and which types of wounds are complex manifestations. The invention patent with the patent publication number CN104287738A discloses a device and method for calculating the wound area. The invention can quickly and accurately calculate the wound area by referring to the dressing accessories and combining the image calculation method. The above patents only provide information on the area of ​​the wound, and fail to provide information on the types and loads of bacteria that are important factors causing wound infection. The invention patent with the patent publication number CN115728286A discloses a multi-dimensional bacterial spectrum acquisition method, a bacterial identification method and an application device. The invention measures the bacterial suspension, which is an in vitro measurement method, and also requires the bacterial suspension to be subjected to bacterial lysis treatment, and the whole process takes a long time. Summary of the invention

[0006] The technical problem to be solved by the present invention is to solve the problems that the existing bacterial diagnosis technology is invasive, cannot provide effective information in real time, and takes a long time to detect.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[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 irradiates the substance to be tested 40. The bacteria on the wound surface of the substance to be tested 40 generate a light signal under the irradiation of the light source, which is collected by the detection module 20. The collected data includes spectral data. The data analysis and processing module 30 obtains the data collected by the detection module 20. The data analysis and processing module 30 stores a program for a wound bacteria detection method. When obtaining spectral data, the wound bacteria detection method is executed to obtain the wound bacteria load and type information.

[0010] In one embodiment of the present invention, the wound bacteria detection method includes a wound bacteria load and type information detection method:

[0011] Preprocessing the acquired spectral data;

[0012] The preprocessed spectral data are extracted in the characteristic spectral region;

[0013] The spectral data in the characteristic spectral region are input into the optimal bacterial classification quantification model to obtain wound bacterial load and type information;

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

[0015] S10, collecting spectral data of bacteria of different loads and types, preprocessing the spectral data of bacteria of different loads and types, constructing a spectral sample data set from the preprocessed spectral data, and dividing it into a training set and a test set;

[0016] S20, establish a quantitative model for bacterial classification 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 a number of spectral data regions of fixed size, and the obtained spectral data regions are input into a bacterial classification quantitative model for training to find the region with the highest classification accuracy;

[0018] S40, for each spectral data in the test set, using the method of step S30 to find the area with the highest classification accuracy;

[0019] S50, taking the area where the classification accuracy of the bacterial classification quantification model in the training set and the test set reaches the preset standard as the characteristic spectral area for bacterial identification and classification;

[0020] S60, composing the spectrum data of the characteristic spectrum region into a new spectrum sample data set;

[0021] S70, training the bacterial classification quantification model with the new spectral sample data set to obtain the optimal bacterial classification 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 that can decompose light into light of different wavelengths and measure 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 light source; and the wound bacteria detection method also includes a bacteria location and load marker 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 obtain image data and spectral data at the same time;

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

[0026] Among them, the fluorescent image is used to obtain the wound bacterial load and type information; and before executing the wound bacteria detection method, the spectral data is first extracted from the fluorescent image;

[0027] and performing bacterial location and load marker assays, 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 the registration is completed, 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 fluorescence intensity distribution of the wound surface is displayed by fusion images, and the wound location is marked.

[0031] In one embodiment of the present invention, the wound bacteria monitoring device comprises a probe 50; the probe 50 comprises 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 to be tested 40 for detection; the light beam emitted by the light source 10 irradiates the substance to be tested 40 after passing through the light source transmission optical path device 51 , and the bacteria on the substance to be tested 40 produce spontaneous fluorescence under the irradiation of the light source, which 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 through optical fiber optical paths.

[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 splitting optical path, so that a part of the fluorescence emitted by the fluorescence excitation light source is directly irradiated on the measured substance 40, and the other part is detected by the probe 50.

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

[0037] The data analysis and processing module 30 acquires white light images, fluorescent images and spectral data, and simultaneously executes a wound bacteria detection method and a bacteria position and load marker detection method.

[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 perform wound bacteria monitoring.

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

[0040] Compared with the prior art, the present invention has the following beneficial effects: based on the spectrum method, by collecting the spectrum characteristics and intensity information of the autofluorescence, the wound bacteria type and load information are obtained at the same time, which is of great significance for the precise treatment of wound infection. The existing imaging method distinguishes between red and green bacteria by comparing the amount of red and green fluorescence in the image, but cannot achieve classification and identification.

[0041] The fiber optic probe of the device can be flexibly aimed at the area to be detected. The autofluorescence of bacteria is weak, and the fluorescence collection efficiency is higher using the probe method, which is crucial for the detection of low-load wound bacteria and also plays an important role in the early detection of wound infection.

[0042] The simultaneous spectral imaging acquisition solution can obtain the wound type and load, as well as the 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 fluorescent image information can guide debridement.

[0043] The image and spectral information are detected simultaneously, realizing the simultaneous recording of wound size, bacterial load and classification. The light probe acquisition solution can detect close to achieve high-sensitivity classification detection of bacteria.

[0044] In view of the problems that existing bacterial diagnosis technologies are invasive and cannot provide effective information in real time, the present invention proposes a new wound bacteria monitoring device and method, which realizes rapid, non-invasive and classified identification of bacteria based on the bacterial autofluorescence characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

[0048] Figure 4 This is a schematic diagram of a wound bacteria monitoring device in which a probe is combined with a combined structure detection module according to an embodiment of the present invention.

[0049] Figure 5 Schematic diagram of a wound bacteria monitoring device with a display module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0051] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0052] Example 1: Wound surface and bacteria monitoring, using spectral technology to achieve bacterial classification and identification.

[0053] See also 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 are communicatively connected.

[0054] In this embodiment, the light source 10 may include a combination of one or more light sources, and the preferred central wavelength range of the excitation light is 250-450 nm, and can be further accurate to 250-280 nm and 385-415 nm. Under the irradiation of the excitation light in this wavelength band, the spectral differences between different bacteria are more obvious, making it easier to classify and identify bacteria. The light emitted by the light source 10 can excite the measured substance 40 to emit fluorescence.

[0055] In this embodiment, the light emitted by the light source 10 irradiates the substance to be tested 40, and the bacteria on the wound surface of the substance to be tested 40 generate spontaneous fluorescence under the irradiation of the light source. The fluorescence emitted by the wound surface is collected by the detection module 20. The detection module 20 is a device or a combination of devices that can decompose light into light of different wavelengths and measure the position and relative intensity of spectral lines, such as a spectrometer or a spectrometer. The detection module 20 transmits the collected information to the data analysis and processing module 30, and the data analysis and processing module 30 stores a program for the wound bacteria detection method. When acquiring spectral data, the wound bacteria detection method is executed to obtain the wound bacteria load and type information.

[0056] In this embodiment, living bacteria have a large number of intracellular biomolecules related to energy production reactions. These endogenous molecules can produce fluorescence in a specific band under the excitation of a specific wavelength. This fluorescence produced by endogenous biological fluorophores is an inherent property of bacteria and is called bacterial autofluorescence. The fluorescence produced by different types of bacteria has 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 bacteria detection method includes a method for detecting the wound bacteria load and species information. Among them, the method for detecting the wound bacteria load and species information includes:

[0058] Preprocess the acquired spectral data; extract the preprocessed spectral data in the characteristic spectral region; input the spectral data in the characteristic spectral region into the optimal bacteria classification quantization model to obtain the wound bacteria load and species information. Among them, the preprocessing methods include scattering removal, normalization, etc.

[0059] Among them, the acquisition processes of the optimal bacteria classification quantization model and the characteristic spectral region include:

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

[0061] S20. Establish a bacteria classification quantization model based on a support vector machine;

[0062] S30. For each spectral data in the training set, use a sliding window to traverse and divide each spectral data into several spectral data regions of a fixed size. Input the obtained spectral data regions into the bacteria classification quantization model for training to find the region with the highest classification accuracy.

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

[0064] S50. Take the regions where the classification accuracy of the bacteria classification quantization model in the training set and the test set both reaches the preset standard as the characteristic spectral regions for bacteria identification and classification.

[0065] S60. Compose the spectral data of the characteristic spectral region into a new spectral sample data set.

[0066] S70. Then use the new spectral sample data set to train the bacteria classification quantization model to obtain the optimal bacteria classification quantization model.

[0067] In this embodiment, as shown in Table 1, the spectral data regions after training and testing of the bacteria classification quantization model are Region 58 and Region 183 respectively. Extract the spectral data of these two regions to form a new bacteria spectral data set, and train the bacteria classification quantization model again. During wound detection, only the spectral information of the characteristic spectral region needs to be collected and input into the bacteria classification quantization model for classification. The extraction of the characteristic spectral region can improve the spectral detection and classification efficiency.

[0068] Table 1 Spectral Data Region Accuracy

[0069]

[0070]

[0071] Example 2: Spectral and imaging solutions to achieve bacterial classification and wound surface identification.

[0072] The difference from Example 1 is that the light source 10 includes a white light source and a fluorescence excitation light source. The white light source is used to irradiate the wound surface of the measured substance 40, and the fluorescence excitation light source is used to excite the measured 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, the detection module 20 can simultaneously obtain image data and spectral data, specifically, such as a hyperspectral camera or a multi-spectral camera.

[0073] The wound bacteria detection method also includes a bacteria position and load marker detection method. During detection, the white light source and the fluorescent excitation light source are turned on alternately, and the detection module 20 obtains a white light image and a fluorescent image. The data analysis and processing module 30 first executes the wound bacteria detection method and then executes the bacteria position and load marker detection method.

[0074] In this embodiment, the fluorescent image is used to obtain the wound bacteria load and type information; and before executing the wound bacteria detection method, the spectral data is first extracted from the fluorescent image.

[0075] and performing bacterial location and load marker assays, including:

[0076] S100, using a spatial registration algorithm to register the white light image and the fluorescence image, so that the two images are registered and aligned in the same coordinate system.

[0077] S200, after the registration is completed, 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] S300, the fluorescence intensity distribution of the wound surface is displayed through fused images, and the wound location is marked.

[0079] In this embodiment, the white light image and the fluorescent image are fused, so that the position and intensity information of the fluorescent marker can be highlighted with color while maintaining the original wound structure. The fused image provides information such as wound size, edge, depth, etc., and intuitively displays the distribution of wound fluorescence intensity. The fluorescence intensity is proportional to the bacterial load, so the area with stronger fluorescence indicates that the bacterial content is higher. When swab sampling is performed, the area can be sampled to reduce the probability of false negative sampling results, and the function of guiding swab sampling can be achieved at the same time. Spectral information can provide information on the change of emitted fluorescence with wavelength, and then obtain the specific type of bacteria on the wound surface according to the characteristics of the fluorescence spectrum, and guide accurate medication.

[0080] Embodiment 3: Spectral and optical fiber probe solution.

[0081] See also Figure 2 As shown, the difference from Example 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] 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, 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 convenient for aligning with the tissue to be tested.

[0083] See also Figure 3 As shown, in the 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, and the light emitted by the light source body 11 passes through the filter 12, and then passes through the beam coupling and shaping structure 13, and is coupled into the light source transmission optical path device 51. The light beam passes through the light source transmission optical path device 51 and irradiates the measured substance 40. The measured substance 40 emits fluorescence / reflected light and is transmitted to the detection module 20 after passing through the signal receiving optical path device 52. The autofluorescence of bacteria is weak, and the probe handle 53 can approach the measured substance 40 for detection. The detection distance can be less than 1 cm, and the fluorescence collection efficiency is higher, which is especially important for the detection of low-load 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 optical fibers 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: Spectroscopy, imaging and fiber optic probe solutions

[0086] See also Figure 4 As shown, the difference from Example 2 is that a probe 50 is added, and the detection module 20 is a combined structure, which is composed of a spectrum acquisition module and an image acquisition module. Specifically, the detection module 20 includes an image acquisition module 21 and a spectrum acquisition module 22. The image acquisition module 21 can be a device or a combination of devices that can collect image information, such as a digital camera, a video camera, a smart phone or computer with a built-in digital camera, a webcam, a charge coupled device CCD or a complementary metal oxide semiconductor CMOS sensor, and the spectrum acquisition module 22 can be a spectrometer, a spectrometer or other device or a combination of devices that can decompose light into light of different wavelengths and measure the position and relative intensity of spectral lines. The light source 10 has a fluorescent light source splitting optical path, which couples part of the light emitted by the fluorescent light source into the transmission optical path device 51, and the probe handle 53 is held close to the substance 40 for detection, and part of the light is directly irradiated on the substance 40, so that the detection module 20 can obtain fluorescent images and spectrum data. Furthermore, when the probe 50 is combined with the detection module 20 of the combined structure, one end of the light source transmission optical path device 51 is connected to the fluorescent excitation light source, and the other end is connected to the probe handle 53, and one end of the signal receiving optical path device 52 is connected to the spectrum acquisition module 22, and the other end is connected to the probe handle 53. Furthermore, it is obvious that both the image acquisition module 21 and the spectrum 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 fluorescent excitation light source are turned on alternately, the white light source is directly irradiated on the substance to be tested 40, and the image acquisition module 21 obtains a white light image; when the fluorescent light source is turned on, a part of the fluorescent light enters the transmission light path device 51, and a part of the fluorescent light is directly irradiated on the substance to be tested 40. The handheld probe handle 53 is close to the substance to be tested 40 for detection, the spectrum acquisition module 22 obtains spectrum data, and the image acquisition module 21 obtains fluorescence image information. The data analysis and processing module 30 obtains white light images, fluorescence images and spectrum data, and simultaneously executes the wound bacteria detection method and the bacteria position and load marker detection method.

[0088] Example 5: Surgical wound drainage fluid monitoring: recording color, quantity and bacterial content monitoring

[0089] The difference from Examples 1-4 is the application scenario. Examples 1-4 are illustrated by using wounds as examples. This embodiment is applied to the monitoring of drainage fluid from surgical wounds, and can simultaneously monitor the color, bacterial load, and type of drainage fluid. That is, the substance 40 to be tested can be a wound on the skin, or a human body fluid sample that may contain bacteria, such as drainage fluid after surgery.

[0090] Example 6

[0091] See also Figure 5As shown, the difference between the embodiments 1-5 is that a display module 60 is added. The display module 60 is connected to the data analysis and processing module 30 for communication.

[0092] It is obvious 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 present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be regarded as exemplary and non-limiting from any point of view, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any reference numerals in the claims should not be regarded as limiting the claims involved.

[0093] The above-described embodiments merely represent implementation methods of the invention. The protection scope of the present invention is not limited to the above-described embodiments. For those skilled in the art, several modifications and improvements may be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

Claims

1. A wound bacteria monitoring device, characterized in that: include: A light source (10), a detection module (20), and a data analysis and processing module (30); The light emitted by the light source (10) irradiates the substance to be tested (40), and the bacteria on the wound surface of the substance to be tested (40) generate a light signal under the irradiation of the light source, which is collected by the detection module (20), and the collected data includes spectral data; the data analysis and processing module (30) obtains the data collected by the detection module (20); and the data analysis and processing module (30) stores a program for a wound bacteria detection method, and when obtaining spectral data, the wound bacteria detection method is executed to obtain wound bacteria load and type information.

2. The wound bacteria monitoring device according to claim 1, characterized in that: Wound bacteria detection methods include wound bacteria load and species information detection methods: Preprocessing the acquired spectral data; The preprocessed spectral data are extracted in the characteristic spectral region; The spectral data in the characteristic spectral region are input into the optimal bacterial classification quantification model to obtain wound bacterial load and type information; The process of obtaining the optimal bacterial classification quantitative model and characteristic spectral region includes: S10, collecting spectral data of bacteria of different loads and types, preprocessing the spectral data of bacteria of different loads and types, constructing a spectral sample data set from the preprocessed spectral data, and dividing it into a training set and a test set; S20, establish a quantitative model for bacterial classification 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 a number of spectral data regions of fixed size, and the obtained spectral data regions are input into a bacterial classification quantitative model for training to find the region with the highest classification accuracy; S40, for each spectral data in the test set, using the method of step S30 to find the area with the highest classification accuracy; S50, taking the area where the classification accuracy of the bacterial classification quantification model in the training set and the test set reaches the preset standard as the characteristic spectral area for bacterial identification and classification; S60, composing the spectrum data of the characteristic spectrum region into a new spectrum sample data set; S70, training the bacterial classification quantification model with the new spectral sample data set to obtain the optimal bacterial classification quantification model.

3. The wound bacteria monitoring device according to claim 2, characterized in that: The light source (10) is a combination of one or more light sources, which 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.

4. The wound bacteria monitoring device according to claim 2, characterized in that: The light source (10) includes a white light source and a fluorescent excitation light source; and the wound bacteria detection method also includes a bacteria position and load marker detection method; 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 obtain image data and spectral data; During detection, the white light source and the fluorescent excitation light source are turned on alternately, and the detection module (20) acquires the white light image and the fluorescent image; the data analysis and processing module (30) first executes the wound bacteria detection method and then executes the bacteria position and load marker detection method; Among them, the fluorescent image is used to obtain the wound bacterial load and type information; and before executing the wound bacteria detection method, the spectral data is first extracted from the fluorescent image; and performing bacterial location and load marker assays, including: The white light image and the fluorescence image are registered and aligned in the same coordinate system using a spatial registration algorithm; After the registration is completed, 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 fluorescence intensity distribution of the wound surface is displayed by fusion images, and the wound location is marked.

5. The wound bacteria monitoring device according to claim 3, characterized in that: The wound bacteria monitoring device comprises a probe (50); the probe (50) comprises a light source transmission optical path device (51), a signal receiving optical path device (52) and a probe handle (53); 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 substance to be tested (40) for detection; the light beam emitted by the light source (10) passes through the light source transmission optical path device (51) and then irradiates the substance to be tested (40); the bacteria on the substance to be tested (40) generate spontaneous fluorescence under the irradiation of the light source, and then pass through the signal receiving optical path device (52) and then are transmitted to the detection module (20).

6. The wound bacteria monitoring device according to claim 5, characterized in that: The light source transmission optical path device (51) and the signal receiving optical path device (52) transmit the optical path via optical fibers.

7. The wound bacteria monitoring device according to claim 4, 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 splitting optical path, so that a portion of the fluorescence emitted by the fluorescence excitation light source is directly irradiated on the measured substance (40), and the other portion is used with the probe (50) to detect the measured substance (40); During detection, the white light source and the fluorescence excitation light source are turned on alternately, the image acquisition module (21) acquires the white light image and the fluorescence image, and the spectrum acquisition module (22) acquires the spectrum data; The data analysis and processing module (30) acquires white light images, fluorescent images and spectral data, and simultaneously executes a wound bacteria detection method and a bacteria position and load marker detection method.

8. The wound bacteria monitoring device according to claim 1, characterized in that: The wound bacteria monitoring device can be applied to wound surfaces, surgical wound drainage fluid, and postoperative drainage scenarios to monitor wound bacteria.

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

Images