Jaundice detection device for pediatric treatment
Through the integrated image acquisition and intelligent control jaundice device, high-precision diagnosis and personalized treatment of neonatal jaundice are realized, the subjective problem of jaundice diagnosis in the prior art is solved, and a safe and reliable treatment plan is provided.
Patent Information
- Application Number
- CN202510208934.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-07-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The diagnostic methods of jaundice in the prior art rely on doctors' naked eye observation and blood measurement, and are subjective and unreliable, and lack intelligent devices for image data diagnosis and treatment.
A pediatric treatment and detection device is designed, integrating image acquisition, data transmission, phototherapy, intelligent control and output unit, using the image acquisition unit to acquire skin images, diagnose through data preprocessing, feature extraction and machine learning algorithms of the intelligent control unit, and personalized treatment is performed through the phototherapy unit.
It realizes intelligent diagnosis and treatment of neonatal jaundice, which has high accuracy, simple operation, safe and reliable, and can reduce the oxidative pressure of neonatal babies. It is especially suitable for extremely low birth weight babies.
Smart Images

Figure CN120284637A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of jaundice treatment and detection, and particularly relates to a device for treating and detecting jaundice in children. Background Art
[0002] Jaundice is a common symptom, usually caused by the production of bilirubin from the breakdown of hemoglobin exceeding the excretion capacity of the liver. High levels of bilirubin can lead to many diseases, such as pathological jaundice, kernicterus, encephalopathy, and cerebral palsy, etc.
[0003] Currently, the diagnosis of jaundice usually relies on doctors' visual observation of the degree of skin jaundice and the measurement of bilirubin in the blood. However, this diagnostic method is subjective and unreliable, and requires complex detection processes and equipment, and professional doctors for operation and interpretation. In recent years, image diagnosis technology and artificial intelligence technology have been widely used in the medical field. By analyzing image data, especially medical imaging data, more objective and accurate disease diagnosis results can be obtained. However, there is currently a lack of an intelligent device for diagnosing and treating jaundice with image data on the market. Summary of the Invention
[0004] The purpose of the present invention is: to solve the above problems, the present invention provides a device for treating and detecting jaundice in children.
[0005] The present invention specifically adopts the following technical solutions to achieve the above purpose:
[0006] A device for treating and detecting jaundice in children, including a treatment bed, on which an image acquisition unit, a data transmission unit, a phototherapy unit, an intelligent control unit, and an output unit are provided. The image acquisition unit is used to acquire images of the skin surface of newborns and transmit the image data to the data transmission unit. The data transmission unit transmits the image data to the intelligent control unit for processing and analysis. The intelligent control unit can diagnose neonatal jaundice by analyzing the image data. The intelligent control unit can formulate diagnostic criteria based on the birth weight, age, and gender information of the newborn. The phototherapy unit is used to irradiate the skin of the newborn, and the output unit outputs the evaluation results in a visual form;
[0007] The intelligent control unit includes a data preprocessing module, a feature extraction module, a jaundice diagnosis module, and a treatment recommendation module. The data preprocessing module is used to preprocess the acquired image data. The feature extraction module is used to extract features from the preprocessed image data. The jaundice diagnosis module is used to analyze and process the extracted features using machine learning algorithms to diagnose the jaundice condition of the patient. The treatment recommendation module provides personalized treatment recommendations for the patient according to the diagnosis results.
[0008] Further, the phototherapy unit employs at least one set of light sources.
[0009] Further, the light source is one or more of a red LED, a blue LED, and a green LED.
[0010] Further, the phototherapy unit employs at least one optical filter for selecting light of a specific wavelength.
[0011] Further, the optical filter employs blue light of 450 nm and green light of 525 nm.
[0012] Further, a heat preservation part is provided in the treatment bed. The heat preservation part is used to maintain the body temperature of the newborn. The heat preservation part includes at least one heater for heating the air in the heat preservation part.
[0013] Further, the heat preservation part further includes a humidifier for increasing the humidity in the heat preservation part.
[0014] Further, the heat preservation part further includes an oxygen supply part for supplying oxygen to the newborn. The oxygen supply part employs at least one oxygen supply device.
[0015] Further, the image acquisition unit includes a high-resolution CCD camera, a lens, and a filter. The phototherapy unit is equipped with an air filter.
[0016] A method for treating neonatal jaundice includes the following steps:
[0017] S1. Place the newborn in the treatment bed and expose it to the light source of the phototherapy unit;
[0018] S2. Obtain the image data of the newborn through the image acquisition unit. The intelligent control unit receives the image data and diagnoses whether the newborn has jaundice;
[0019] S3. When diagnosed with jaundice, control the phototherapy unit to emit blue light and green light to share wavelengths to reduce the oxidative stress of the newborn;
[0020] S4. Adjust the light intensity and time of the phototherapy unit to provide appropriate phototherapy;
[0021] S5. During the treatment process, the output unit displays the monitored jaundice degree of the newborn and adjusts the phototherapy parameters to obtain the best treatment effect.
[0022] The beneficial effects of the present invention are as follows:
[0023] 1. The present invention combines computer vision, intelligent control, and phototherapy technologies to achieve intelligent diagnosis and treatment of neonatal jaundice, featuring simple operation, high precision, and safety and reliability.
[0024] 2. The present invention can not only be used for the treatment of neonatal jaundice, but also for other types of diseases and medical applications. For example, in other types of phototherapy, LEDs with different wavelengths and intensities can be used to target different types of diseases and symptoms. In addition, the intelligent device for image data diagnosis and treatment of jaundice of the present invention can also be integrated with other types of medical devices and systems.
[0025] 3. The present invention detects the bilirubin concentration in the patient's blood and combines phototherapy technology for treatment. At the same time, the device can also have multiple functions such as heat preservation, humidification, and oxygen supply to provide comprehensive medical protection for the patient.
[0026] 4. The present invention emits blue light and green light with a shared wavelength from the light source to reduce the blue light that causes oxidative stress in newborns, which can reduce the bilirubin concentration in the blood, reduce the oxidative stress on newborns, and reduce the bilirubin concentration in the blood. It is particularly effective for the treatment of jaundice in newborns with a birth weight of less than 1500 g (very low birth weight infants). BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 is a schematic diagram of the overall structure of the present invention;
[0028] Figure 2 is a schematic diagram of image acquisition of the present invention;
[0029] Figure 3 is a flowchart of the present invention;
[0030] Figure 4 is a data processing flowchart of the present invention.
[0031] Reference numerals: 301, image acquisition unit; 302, data transmission unit; 303, phototherapy unit; 304, intelligent control unit; 3041, data preprocessing module; 3042, feature extraction module; 3043, jaundice diagnosis module; 3044, treatment suggestion module; 305, output unit. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0032] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0033] Example 1, as Figures 1 - 4As shown in the figure, a jaundice treatment and detection device for children includes a treatment bed, on which an image acquisition unit 301, a data transmission unit 302, a phototherapy unit 303, an intelligent control unit 304 and an output unit 305 are arranged. The image acquisition unit 301 is used to acquire images of the skin surface of newborns and transmit the image data to the data transmission unit 302. The data transmission unit 302 transmits the image data to the intelligent control unit 304 for processing and analysis. The intelligent control unit 304 can diagnose neonatal jaundice by analyzing the image data. The intelligent control unit 304 can formulate diagnostic criteria based on the birth weight, age and gender information of the newborn. The phototherapy unit 303 is used to irradiate the skin of the newborn, and the output unit 305 outputs the evaluation result in a visual form;
[0034] The intelligent control unit 304 includes a data preprocessing module 3041, a feature extraction module 3042, a jaundice diagnosis module 3043 and a treatment recommendation module 3044. The data preprocessing module 3041 is used to preprocess the acquired image data. The feature extraction module 3042 is used to extract features from the preprocessed image data. The jaundice diagnosis module 3043 is used to analyze and process the extracted features using machine learning algorithms, so as to diagnose the jaundice condition of the patient. The treatment recommendation module 3044 provides personalized treatment recommendations for the patient according to the diagnosis result.
[0035] The camera or sensor in the image acquisition unit 301 acquires images of the skin color and jaundice degree of different parts of the patient and transmits the image data to the data transmission unit 302. The data transmission unit 302 transmits the image data to the intelligent control unit 304 for processing and analysis. The data preprocessing module 3041 in the intelligent control unit 304 preprocesses the acquired images, such as denoising, grayscale conversion, image enhancement, etc., to reduce interference and noise and improve the image quality. Then the feature extraction module 3042 extracts features from the preprocessed images, extracts jaundice features by calculating features such as image brightness, hue, texture, etc. Then the jaundice diagnosis module 3043 uses algorithms such as machine learning or deep learning to analyze the extracted features and obtain the evaluation result of the jaundice degree. The treatment recommendation module 3044 provides personalized treatment recommendations for the patient according to the diagnosis result. At the same time, the output unit 305 outputs the evaluation result in a visual form to the doctor or the patient to help the doctor better understand the patient's condition and make treatment decisions.
[0036] The image data preprocessing method of the present invention includes the following steps: (1) Denoise the received original image data to eliminate the interference of the acquisition device noise on the image and improve the image quality; (2) Perform edge detection on the denoised image to extract the edge features in the image; (3) Use a machine learning-based classifier to classify the image, distinguish the images of jaundice patients from those of non-jaundice patients, and determine the jaundice degree of the patient.
[0037] The jaundice diagnosis model of the present invention is constructed using deep learning technology and includes the following steps: (1) Construct a convolutional neural network model based on the preprocessed image data; (2) Use the images classified as jaundice patients by the classifier as positive samples and the images of non-jaundice patients as negative samples to perform supervised learning training on the model; (3) Use the cross-validation method to verify the trained model to improve the accuracy of the model.
[0038] The jaundice treatment generation method of the present invention includes the following steps: (1) Evaluate the jaundice degree of the patient to determine the jaundice type and degree of the patient; (2) Generate corresponding treatment suggestions according to the jaundice type and degree of the patient, including treatment plans such as drug treatment, phototherapy, blood transfusion, etc.; (3) Output the treatment suggestions to the doctor to help the doctor make treatment decisions and improve the treatment effect of jaundice patients. The algorithm 103 module is the core of the jaundice intelligent device, and it uses a series of advanced algorithms and models, including deep learning algorithms, image segmentation algorithms, color space conversion algorithms, etc. The algorithm module can improve the diagnostic accuracy and efficiency of jaundice by preprocessing and feature extraction of image data.
[0039] Embodiment 2, on the basis of the above embodiment, further includes that the phototherapy unit 303 uses at least one group of light sources.
[0040] Further, the light source is one or more of a red LED, a blue LED, and a green LED.
[0041] During the phototherapy of jaundice, by making the light source emit blue and green light with a shared wavelength, the blue light that causes oxidative stress in newborns can reduce the bilirubin concentration in the blood. This device can reduce the oxidative stress on newborns and reduce the bilirubin concentration in the blood, and is particularly effective for the treatment of jaundice in newborns with a birth weight of less than 1500 g (extremely low birth weight infants).
[0042] These two LEDs can be powered by the same light source, or can be installed at different positions of the phototherapy unit 303 respectively. When using the blue LED, it is necessary to pay attention to controlling its output power to prevent excessive oxidative stress, thereby damaging the blood cells and other tissues of newborns. Therefore, the threshold of the output power can be set in the control system as needed to ensure the safety and effectiveness of phototherapy.
[0043] Embodiment 3. On the basis of the above embodiments, it further includes that the phototherapy unit 303 uses at least one optical filter for selecting light of a specific wavelength.
[0044] Further, the optical filter uses blue light of 450 nm and green light of 525 nm.
[0045] This embodiment can better control light of a specific wavelength.
[0046] Embodiment 4. On the basis of the above embodiments, it further includes that a heat preservation part is arranged in the treatment bed. The heat preservation part is used for maintaining the body temperature of the newborn. The heat preservation part includes at least one heater, and the heater is used for heating the air in the heat preservation part.
[0047] Further, the heat preservation part further includes a humidifier, and the humidifier is used for increasing the humidity in the heat preservation part.
[0048] Furthermore, the heat preservation part further includes an oxygen supply part. The oxygen supply part is used for supplying oxygen to the newborn. The oxygen supply part uses at least one oxygen supply device, such as an oxygen mask, nasal cannula, pipeline, etc.
[0049] These components can be used in combination as needed to provide comprehensive treatment and care services. For example, for a newborn in need of heat preservation, the heater can be set in the heat preservation part of the device to maintain an appropriate body temperature. The humidifier can provide appropriate humidity to improve the symptoms of respiratory diseases and prevent excessive dryness of the skin. The oxygen supply part can provide oxygen supply for a newborn in need of additional oxygen to maintain its normal breathing and vital activities. These parts can be used in combination as needed to provide personalized treatment and care services.
[0050] Embodiment 5. On the basis of the above embodiments, it further includes that the image acquisition unit 301 includes a high-resolution CCD camera, a lens and a filter. The camera is also equipped with a light source, and the light source provides sufficient light to ensure the image quality. The phototherapy unit 303 is equipped with an air filter.
[0051] The air filter can filter harmful substances such as viruses and bacteria in the air to ensure the purity and safety of the phototherapy environment. The type and specification of the filter can be selected and replaced as needed.
[0052] Embodiment 6. A method for treating neonatal jaundice includes the following steps:
[0053] S1. Place the newborn in the treatment bed and expose it to the light source of the phototherapy unit 303;
[0054] S2. Obtain the image data of the newborn through the image acquisition unit 301. The intelligent control unit 304 receives the image data and diagnoses whether the newborn has jaundice;
[0055] S3. When jaundice is diagnosed, control the phototherapy unit 303 to emit blue light and green light to share wavelengths to reduce the oxidative stress of the newborn;
[0056] S4. Adjust the light intensity and time of the phototherapy unit 303 to provide appropriate phototherapy;
[0057] S5. During the treatment process, the output unit 305 displays the monitored jaundice degree of the newborn and adjusts the phototherapy parameters to obtain the best treatment effect.
[0058] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A jaundice treatment and detection device for children, comprising a treatment bed, characterized in that, An image acquisition unit (301), a data transmission unit (302), a phototherapy unit (303), an intelligent control unit (304) and an output unit (305) are provided on the treatment bed. The image acquisition unit (301) is used to acquire images of the neonatal skin surface and transmit the image data to the data transmission unit (302). The data transmission unit (302) transmits the image data to the intelligent control unit (304) for processing and analysis. The intelligent control unit (304) can diagnose neonatal jaundice by analyzing the image data. The intelligent control unit (304) can formulate diagnostic criteria based on the birth weight, age and gender information of the neonate. The phototherapy unit (303) is used to irradiate the skin of the neonate. The output unit (305) outputs the evaluation result in a visual form; The intelligent control unit (304) includes a data preprocessing module (3041), a feature extraction module (3042), a jaundice diagnosis module (3043) and a treatment recommendation module (3044). The data preprocessing module (3041) is used to preprocess the acquired image data. The feature extraction module (3042) is used to extract features from the preprocessed image data. The jaundice diagnosis module (3043) is used to analyze and process the extracted features using machine learning algorithms to diagnose the jaundice condition of the patient. The treatment recommendation module (3044) provides personalized treatment recommendations for the patient according to the diagnosis result.
2. The jaundice treatment and detection device for children according to claim 1, characterized in that, The phototherapy unit (303) employs at least one set of light sources.
3. The pediatric jaundice treatment and detection device according to claim 2, characterized in that, The light source adopts one or more of red light LEDs, blue light LEDs and green light LEDs.
4. A jaundice treatment and detection device for children according to claim 1, characterized in that, The phototherapy unit (303) employs at least one optical filter for selecting light of a specific wavelength.
5. The pediatric jaundice treatment and detection device according to claim 4, wherein, The optical filter adopts blue light of 450 nm and green light of 525 nm.
6. The jaundice treatment and detection device for children according to claim 1, wherein, A heat preservation part is provided in the treatment bed. The heat preservation part is used to maintain the body temperature of the neonate. The heat preservation part includes at least one heater for heating the air in the heat preservation part.
7. A jaundice treatment and detection device for children according to claim 6, characterized in that, The heat preservation part further includes a humidifier for increasing the humidity in the heat preservation part.
8. The pediatric jaundice treatment and detection device according to claim 7, characterized in that, The heat preservation part further includes an oxygen supply part for supplying oxygen to the neonate. The oxygen supply part adopts at least one oxygen supply device.
9. A jaundice treatment and detection device for children according to claim 1, characterized in that, The image acquisition unit (301) includes a high-resolution CCD camera, a lens and a filter. The phototherapy unit (303) is equipped with an air filter.
10. A method for treating infantile jaundice, which uses an infant treatment and jaundice detection device according to any one of claims 1-9, characterized in that, It includes the following steps: S1. Place the neonate on the treatment bed and expose it to the light source of the phototherapy unit (303); S2. Obtain the image data of the neonate through the image acquisition unit (301). The intelligent control unit (304) receives the image data and diagnoses whether the neonate has jaundice; S3. When diagnosed with jaundice, control the phototherapy unit (303) to emit blue light and green light to share the wavelength to reduce the oxidative stress of the neonate; S4. Adjust the light intensity and time of the phototherapy unit (303) to provide appropriate phototherapy; S5. During the treatment process, the output unit (305) displays the jaundice level of the monitored neonate and adjusts the phototherapy parameters to obtain the best treatment effect.
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