Multifunctional gynecological examination equipment based on Internet of Things

Abstract

The invention discloses multifunctional gynecological examination equipment based on Internet of Things, which comprises a bottom plate, a seat is fixedly arranged in the middle of the upper end of the bottom plate, a detection mechanism for gynecological examination is arranged on one side of the seat, and a networking system for uploading detection data is further arranged in the detection mechanism. And a virtual simulation mechanism for diverting the attention of the patient is arranged on one side, far away from the detection mechanism, of the seat. According to the invention, based on the Internet of Things, detection and detection data uploading functions are integrated, so that medical diagnosis of different hospitals can be facilitated, learning big data can be provided for the convolutional neural network, and clinical decision support can be provided for doctors after learning of excessive big data.

Description

Technical Field

[0001] The present invention relates to the technical field of gynecological examination equipment, and particularly to a multifunctional gynecological examination equipment based on the Internet of Things. Background Art

[0002] Gynecological examination equipment is a medical tool for the examination and diagnosis of the female reproductive system, covering various types. Common conventional examination equipment includes imaging diagnosis equipment such as a colposcope: an electronic colposcope magnifies the fine structures of the cervix and vaginal mucosa through an optical lens, and combines electronic imaging technology to transmit the image to a display. It is mainly used to observe lesions of the cervix, vaginal wall and vulva, such as cervical intraepithelial neoplasia, condyloma acuminata, early cervical cancer, etc. Endoscopic examination equipment such as a vaginal B-ultrasound: A vaginal B-ultrasound (transvaginal ultrasound examination) is a method of ultrasonic imaging of the female reproductive system and pelvis by placing a high-frequency ultrasonic probe into the vagina. Compared with traditional abdominal B-ultrasound, its advantages are higher image resolution, no need to hold urine, and higher detection rate of small lesions, especially suitable for the early diagnosis and monitoring of gynecological diseases; and other auxiliary equipment such as a vaginal speculum.

[0003] However, in the prior art, various examination equipment are independent of each other and the data is not uploaded, resulting in the inability to interoperate data between different hospitals. Therefore, the following problems will occur; Since the gynecological detection equipment in the prior art mainly relies on doctors to observe on-site during detection, it is inconvenient to upload the detection data to the network. When receiving treatment in different hospitals in major cities, the data of different hospitals is not interoperable, which is rather inconvenient. At the same time, with the gradual improvement of AI intelligence in the prior art, it has become very common to use AI for medical detection inference to provide support for clinical decision-making. However, due to the inability of the gynecological examination equipment in the prior art to upload examination data, it cannot provide big data support for AI, so this function cannot be promoted.

[0004] In the prior art, when performing gynecological examinations, due to the hospital environment and the private nature of gynecological examinations, patients will inevitably feel nervous and uneasy, which will seriously affect the detection experience of patients. Even due to excessive tension of patients, the muscles will contract too much and cause unnecessary pain, and such examination equipment in the prior art cannot well distract the attention of patients.

[0005] Therefore, a multifunctional gynecological examination equipment based on the Internet of Things is needed to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to provide a multifunctional gynecological examination equipment based on the Internet of Things to solve the problems raised in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solution: A multifunctional gynecological examination device based on the Internet of Things, including a bottom plate, a seat is fixedly arranged in the middle of the upper end of the bottom plate, a detection mechanism for performing gynecological examinations is arranged on one side of the seat, a networking system for uploading detection data is also arranged in the detection mechanism, and a virtual simulation mechanism for diverting the patient's attention is arranged on the side of the seat away from the detection mechanism.

[0008] Preferably, the detection mechanism includes a mounting frame, a colposcope, a first cross bar, a card slot, a B-ultrasound probe, a first support rod, an angle-adjustable fixing frame, an all-in-one computer, and a display screen. A mounting frame is fixedly arranged in the middle of the seat. The upper end of the mounting frame is movably provided with a colposcope through a rotating shaft. The rotating shaft where the colposcope is located is a damping rotating shaft, so that the colposcope will not rotate automatically when there is no manual adjustment. A first cross bar is fixedly arranged on one side of the seat. One end of the first cross bar is fixedly provided with a card slot. A B-ultrasound probe is movably engaged inside the card slot. A first support rod is fixedly arranged on the surface of the seat on one side of the first cross bar. An angle-adjustable fixing frame is fixedly arranged at the upper end of the first support rod. An all-in-one computer is fixedly arranged on the surface of the angle-adjustable fixing frame. A display screen is fixedly arranged on the surface of the all-in-one computer; the colposcope and B-ultrasound probe in the detection mechanism can be used for the inspection work inside the patient's vagina; then the detection data can be transmitted to the all-in-one computer in real time and finally displayed on the surface of the display screen, so that it is convenient for medical staff to judge the patient's physical condition.

[0009] Preferably, the networking system includes an inspection data collection module, an identity information verification module, a data upload module, an identity information collection module, a data download module, and a convolutional neural network learning module; First step, inspection data transmission and collection: The detection data of the colposcope and B-ultrasound probe can be transmitted to the display screen for local display for local medical staff to carry out diagnosis work, or can be transmitted to the inspection data collection module and wait to be uploaded to the Internet of Things data storage cloud later; the working principle of the networking system needs to follow the following steps: Second step, Internet of Things data storage cloud: If the patient consents or the patient intends to upload the inspection data, the patient can use the identity information input panel to input personal identity information and use the fingerprint recognition device to input the fingerprint information of any finger of his own. Then the networking system uploads the input personal information and input fingerprint information to the Internet of Things data storage cloud for storage through the identity information collection module, and at this time, the patient's identity information data, fingerprint information data, and inspection information data are packaged and bound together. After the fingerprint information is confirmed, the patient's inspection information is transmitted to the Internet of Things data storage cloud; Step 3: Download of diagnostic data information: When a patient goes to another hospital for diagnosis and treatment, there is no need to perform B-ultrasound probe and colposcopy examinations again in the short term. Other hospitals only need to connect to the Internet of Things data storage cloud and verify the patient's fingerprint again, then they can download the examination data previously done by this patient for medical staff in other hospitals to make a diagnosis. In this way, unnecessary examination times of patients can be reduced, the economic pressure can be alleviated, and at the same time, examination time can be saved. Step 4: Convolutional neural network learning; When the patient transmits the detection data to the Internet of Things data storage cloud, it is convenient for different hospitals to perform medical diagnoses. At the same time, it can also provide big data for the convolutional neural network to learn. After the cloud collects a large number of B-ultrasound images of cervical cancer and normal cervix, professional doctors annotate the images, clarify the lesion area, mark the lesion type (such as CIN1 / 2 / 3, cervical cancer), and category (such as benign, malignant, inflammation, etc.). Cross-verification by more than 2 doctors is required. Subsequently, the convolutional kernel of the convolutional neural network extracts the local features of the image (such as edges, textures, shapes, etc.). Stacking multiple convolutional layers can capture features at different levels. The low-level convolutional layer extracts basic features such as edges, and the high-level convolutional layer extracts more abstract lesion features. After learning from big data, it can automatically label suspicious areas and provide clinical decision-making support for doctors.

[0010] Preferably, the virtual simulation mechanism includes a second cross bar, a second support rod, an adjustment component, a head-mounted VR glasses, and an elastic band. A second cross bar is fixedly arranged on one side of the seat. One end of the second cross bar is movably arranged with a second support rod through a bearing. The upper end of the second support rod is movably arranged with an adjustment component through a rotating shaft. One end of the adjustment component is fixedly arranged with a head-mounted VR glasses. An elastic band is fixedly arranged on the surface of the head-mounted VR glasses. With the rotatable second support rod and the multi-angle rotatable adjustment component, this device ensures that the head-mounted VR glasses can be worn on the head of the patient to be examined, enabling the eyes of the patient to be examined to see the playback picture in the VR glasses, so that the patient can enter an immersive visual experience, distracting the patient's attention and reducing the patient's nervousness.

[0011] Preferably, the virtual simulation mechanism further includes electroencephalogram detection electrodes, and electroencephalogram detection electrodes are fixedly arranged on both sides of the surface of the elastic band.

[0012] Preferably, an information verification structure for improving the security of inspection data is further provided on the surface of the second support rod. The information verification mechanism includes an extension rod, an identity information input device, an identity information input panel, and a fingerprint recognition device. An extension rod is fixedly provided on one side of the second support rod. An identity information input device is fixedly provided at one end of the extension rod. An identity information input panel is fixedly provided on one side of the surface of the identity information input device. A fingerprint recognition device is fixedly provided on one side of the identity information input panel. Since gynecological examinations are relatively private, and the specific examination data is even more private, therefore, if you want to upload the detection data to the network, you also need to obtain the consent of the patient himself; at this time, this device can use the identity information input panel to input personal identity information, and use the fingerprint recognition device to input the fingerprint information of any finger of itself. Subsequently, the network system uploads the input personal information and the input fingerprint information to the Internet of Things data storage cloud through the identity information collection module for storage. Subsequently, when the patient confirms to upload the examination data to the network, the fingerprint information of the finger can be verified again through the fingerprint recognition device. The network system binds the examination data and personal information through the fingerprint information, and finally transmits it to the Internet of Things data storage cloud through the data upload module, thus completing the upload operation of the detection data.

[0013] Preferably, a wire for transmitting detection data is provided between the B-ultrasound probe and the colposcope and the all-in-one computer. The B-ultrasound probe and the colposcope are electrically connected to the all-in-one computer through the wire.

[0014] Preferably, pedals are provided on both sides of the surface of the seat, and armrests are provided on the surface of the seat above the pedals. When the patient sits on the seat, the back can naturally lean on the backrest, and then the legs can be naturally opened and stepped on the pedals, so as to facilitate the medical staff to perform gynecological examinations and facilitate the subsequent examination work of the colposcope and the B-ultrasound probe; and the armrests can facilitate the provision of support for the patient's arms, so that the patient's hands have a place to be placed, so as to improve the comfort of the device during use.

[0015] Preferably, a keyboard rack is fixedly provided on one side of the all-in-one computer, and the keyboard and mouse can be conveniently placed through the keyboard rack to facilitate the medical staff to operate and control the all-in-one computer.

[0016] Preferably, a plurality of annular pressure sensors are fixedly provided on the surface of the B-ultrasound probe, a flexible shell is fixedly sleeved outside the annular pressure sensors on the surface of the B-ultrasound probe, and a heating wire is arranged inside the flexible shell.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. The examination data of the colposcope and B-ultrasound probe of the present invention can be transmitted to the all-in-one computer in real time and finally displayed on the surface of the display screen, so as to facilitate on-site medical staff to judge the patient's physical condition. Moreover, this device can also transmit the detection data to the Internet of Things data storage cloud in real time after obtaining the patient's consent. In this way, integrating the detection and the function of uploading detection data based on the Internet of Things can facilitate medical diagnosis in different hospitals and provide big data for convolutional neural networks to learn. After learning the big data, it can provide clinical decision-making support for doctors.

[0018] 2. The present invention can play pictures for the patient through the head-mounted VR glasses, so that the patient can enter an immersive visual experience, transfer the patient's attention and reduce the patient's nervousness. At the same time, the brain wave detection electrodes can collect the patient's brain wave signals. By real-time monitoring of the frequency band characteristics of brain waves such as alpha waves and beta waves, the video content can be dynamically adjusted (such as switching scenes or rhythms) to achieve personalized intervention, thereby further improving the attention transfer effect of this device and further helping the patient to transfer attention.

[0019] 3. When the B-ultrasound probe of the present invention is performing an examination, the annular pressure sensor can real-time monitor the pressure value when the B-ultrasound probe is inserted into the female vagina. Through self-learning of the pressure value and formulating a pressure alarm threshold based on multiple clinical experiences, for example, a prompt is triggered when the pressure is between 20 - 30 mmHg. When the pressure abnormally rises above 30 mmHg, the system immediately issues an audible and visual alarm to prompt the medical staff, thereby significantly improving the safety and comfort of vaginal B-ultrasound examination. And the electric heating wire can maintain the temperature of the B-ultrasound probe, and a gradient temperature design is adopted, 37°C at the entrance and 36°C inside, simulating the natural physiological environment and further improving the comfort when the B-ultrasound probe is inserted into the patient's body. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is the overall structural schematic diagram of a multifunctional gynecological examination device based on the Internet of Things of the present invention; Figure 2 is the front view of a multifunctional gynecological examination device based on the Internet of Things of the present invention; Figure 3 is the rear view of a multifunctional gynecological examination device based on the Internet of Things of the present invention; Figure 4 is a multifunctional gynecological examination device based on the Internet of Things of the present invention Figure 2 the enlarged view of part A in; Figure 5 is the overall structural view of the B-ultrasound probe of a multifunctional gynecological examination device based on the Internet of Things of the present invention; Figure 6Overall structural view of the head-mounted VR glasses in a multifunctional gynecological examination device based on the Internet of Things according to the present invention; Figure 7 System principle block diagram of the networking system in a multifunctional gynecological examination device based on the Internet of Things according to the present invention.

[0021] In the figure: 1, bottom plate; 2, seat; 3, detection mechanism; 301, mounting bracket; 302, colposcope; 303, first cross bar; 304, card slot; 305, B-ultrasound probe; 306, first support rod; 307, angle-adjustable fixing bracket; 308, integrated computer; 309, display screen; 310, wire; 311, annular pressure sensor; 312, flexible housing; 4, networking system; 401, examination data collection module; 402, identity information verification module; 403, data upload module; 404, identity information collection module; 405, data download module; 406, convolutional neural network learning module; 5, virtual simulation mechanism; 501, second cross bar; 502, second support rod; 503, adjustment component; 504, head-mounted VR glasses; 505, elastic band; 506, electroencephalogram detection electrode; 6, information verification structure; 601, extension rod; 602, identity information input device; 603, identity information input panel; 604, fingerprint recognition device; 7, footrest; 8, armrest; 9, keyboard holder. Specific embodiments

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] Please refer to Figure 1-7 , the present invention provides a technical solution: a multifunctional gynecological examination device based on the Internet of Things, including a bottom plate 1, a seat 2 is fixedly arranged in the middle of the upper end of the bottom plate 1, a detection mechanism 3 for performing gynecological examinations is arranged on one side of the seat 2, a networking system 4 for uploading detection data is also arranged in the detection mechanism 3, and a virtual simulation mechanism 5 for distracting the patient's attention is arranged on the side of the seat 2 away from the detection mechanism 3.

[0024] The detection mechanism 3 includes a mounting bracket 301, a colposcope 302, a first crossbar 303, a card slot 304, a B-ultrasound probe 305, a first support rod 306, an angle-adjustable fixing bracket 307, an all-in-one computer 308, and a display screen 309. A mounting bracket 301 is fixedly arranged in the middle of the seat 2. The upper end of the mounting bracket 301 is movably provided with a colposcope 302 through a rotating shaft. The rotating shaft where the colposcope 302 is located is a damping rotating shaft, so that the colposcope 302 will not rotate automatically when there is no manual adjustment. A first crossbar 303 is fixedly arranged on one side of the seat 2. One end of the first crossbar 303 is fixedly provided with a card slot 304. A B-ultrasound probe 305 is movably engaged inside the card slot 304. A first support rod 306 is fixedly arranged on the surface of the seat 2 on one side of the first crossbar 303. The upper end of the first support rod 306 is fixedly provided with an angle-adjustable fixing bracket 307. An all-in-one computer 308 is fixedly arranged on the surface of the angle-adjustable fixing bracket 307. A display screen 309 is fixedly arranged on the surface of the all-in-one computer 308; the colposcope 302 and the B-ultrasound probe 305 in the detection mechanism 3 can be used for the inspection work of the patient's vagina; subsequently, the detection data can be transmitted to the all-in-one computer 308 in real time and finally displayed on the surface of the display screen 309, so as to facilitate the medical staff to judge the patient's physical condition; The networking system 4 includes an inspection data collection module 401, an identity information verification module 402, a data upload module 403, an identity information collection module 404, a data download module 405, and a convolutional neural network learning module 406. The working principle of the networking system 4 can be as Figure 7 shown and the following steps need to be followed; First step, inspection data transmission and collection: The detection data of the colposcope 302 and the B-ultrasound probe 305 can be transmitted to the display screen 309 for local display for local medical staff to carry out diagnostic work, or can be transmitted to the inspection data collection module 401 and wait to be uploaded to the Internet of Things data storage cloud later; Second step, Internet of Things data storage cloud: If the patient consents or the patient intends to upload the inspection data, the patient can use the identity information input panel 603 to input personal identity information and use the fingerprint recognition device 604 to input the fingerprint information of any finger of his own. Subsequently, the networking system 4 uploads the input personal information and the input fingerprint information to the Internet of Things data storage cloud for storage through the identity information collection module 404, and at this time, the patient's identity information data, fingerprint information data, and physical examination information data are packaged and bound together. After the fingerprint information is confirmed, the patient's inspection information is transmitted to the Internet of Things data storage cloud; Step 3: Downloading diagnostic data information: When a patient goes to another hospital for diagnosis and treatment, there is no need to perform the inspection work of the B-ultrasound probe 305 and the colposcope 302 again in the short term. Other hospitals only need to connect to the Internet of Things data storage cloud and verify the patient's fingerprint again, then they can download the inspection data previously done by this patient for the medical staff of other hospitals to make a diagnosis; this can reduce the unnecessary number of inspections for the patient, reduce the economic pressure, and also save the inspection time; Step 4: Convolutional neural network learning; while the patient transmitting the detection data to the Internet of Things data storage cloud can facilitate medical diagnosis in different hospitals, it can also provide big data for the convolutional neural network to learn. After the cloud collects a large number of B-ultrasound images of cervical cancer and normal cervix, professional doctors annotate the images to clarify the lesion area and mark the lesion type (such as CIN1 / 2 / 3, cervical cancer), and the category (such as benign, malignant, inflammation, etc.). It needs to be cross-validated by more than 2 doctors. Subsequently, the local features of the image (such as edges, textures, shapes, etc.) are extracted through the convolutional kernels of the convolutional neural network. Stacking multiple convolutional layers can capture features at different levels. The low-level convolutional layers extract basic features such as edges, and the high-level convolutional layers extract more abstract lesion features. After learning from big data, it can automatically annotate suspicious areas and provide clinical decision-making support for doctors; The virtual simulation mechanism 5 includes a second cross bar 501, a second support rod 502, an adjustment component 503, a head-mounted VR glasses 504, and an elastic band 505. One side of the seat 2 is fixedly provided with a second cross bar 501. One end of the second cross bar 501 is movably provided with a second support rod 502 through a bearing. The upper end of the second support rod 502 is movably provided with an adjustment component 503 through a rotating shaft. One end of the adjustment component 503 is fixedly provided with a head-mounted VR glasses 504. The surface of the head-mounted VR glasses 504 is fixedly provided with an elastic band 505. This device uses the rotatable second support rod 502 in cooperation with the multi-angle rotatable adjustment component 503 to ensure that the head-mounted VR glasses 504 can be worn on the head of the patient to be examined, so that the eyes of the patient to be examined can see the playback picture in the VR glasses, so that the patient can enter an immersive visual experience, divert the patient's attention, and reduce the patient's nervousness. The virtual simulation mechanism 5 further includes electroencephalogram detection electrodes 506. Electroencephalogram detection electrodes 506 are fixedly arranged on both sides of the surface of the elastic band 505. The elastic band 505 can ensure that the electroencephalogram detection electrodes 506 are fixed near the patient's temples. The electroencephalogram detection electrodes 506 can collect the electroencephalogram signals of the patient and analyze the frequency band characteristics such as alpha waves and beta waves. For example, the enhancement of beta waves (14 - 30 Hz) is usually related to tension and anxiety, while the weakening of alpha waves (8 - 13 Hz) reflects greater emotional fluctuations. In this way, the electroencephalogram detection electrodes 506 can capture subtle electroencephalogram changes in real time. Subsequently, playing a video to distract attention (such as natural scenery, meditation guidance) through the head-mounted VR glasses 504 can adjust brain activities through visual stimulation. For example, watching a relaxing video can increase the alpha wave power and reduce the beta wave activity, thereby relieving the tense mood. In this way, by real-time monitoring the frequency band characteristics of electroencephalogram alpha waves, beta waves, etc., the video content (such as switching scenes or rhythms) can be dynamically adjusted to achieve personalized intervention, so as to further improve the attention distraction effect of this device and further help the patient distract attention; An information verification structure 6 for improving the security of inspection data is further arranged on the surface of the second support rod 502. The information verification mechanism includes an extension rod 601, an identity information input device 602, an identity information input panel 603, and a fingerprint recognition device 604. An extension rod 601 is fixedly arranged on one side of the second support rod 502. An identity information input device 602 is fixedly arranged at one end of the extension rod 601. An identity information input panel 603 is fixedly arranged on one side of the surface of the identity information input device 602. A fingerprint recognition device 604 is fixedly arranged on one side of the identity information input panel 603; Since gynecological examinations are relatively private, and the specific examination data is even more private, therefore, if you want to upload the detection data to the network, the consent of the patient himself / herself is also required; At this time, this device can use the identity information input panel 603 to input personal identity information and use the fingerprint recognition device 604 to input the fingerprint information of any finger of oneself. Subsequently, the networking system 4 uploads the input personal information and the input fingerprint information to the Internet of Things data storage cloud through the identity information collection module 404 for storage. Subsequently, when the patient confirms to upload the inspection data to the network, the fingerprint information of the finger can be verified again through the fingerprint recognition device 604. The networking system 4 binds the inspection data and personal information through the fingerprint information and finally transmits them to the Internet of Things data storage cloud through the data upload module 403, thus completing the upload operation of the detection data; There is a wire 310 for transmitting detection data between the B-ultrasound probe 305, the colposcope 302 and the all-in-one computer 308. The B-ultrasound probe 305 and the colposcope 302 are electrically connected through the wire 310 and the all-in-one computer 308. Through the wire 310, the examination data of the B-ultrasound probe 305 and the colposcope 302 can be transmitted to the all-in-one computer 308 in real time. Then, the all-in-one computer 308 transmits the data picture to the display screen 309 for on-site medical staff to view and analyze. At the same time, with the consent of the patient (fingerprint information confirmation), the detection data can be transmitted to the Internet of Things data storage cloud in real time to facilitate other hospitals to retrieve and view, and can also provide learning big data for the convolutional neural network. After learning the big data, it can provide clinical decision support for doctors; Footrests 7 are provided on both sides of the surface of the seat 2. Armrests 8 are provided on the surface of the seat 2 above the footrests 7. When the patient sits on the seat 2, the back can naturally lean on the backrest. Then, the two legs are naturally opened and stepped on the footrests 7, which can facilitate the medical staff to perform gynecological examinations and facilitate the subsequent examination work of the colposcope 302 and the B-ultrasound probe 305. And through the armrest 8, it can conveniently provide support for the patient's arm, so that the patient's hand has a place to be placed, so as to improve the comfort of the device during use; A keyboard tray 9 is fixedly arranged on one side of the all-in-one computer 308. Through the keyboard tray 9, it is convenient to place the keyboard and mouse to facilitate the medical staff to operate and control the all-in-one computer 308; A number of annular pressure sensors 311 are fixedly arranged on the surface of the B-ultrasound probe 305. A flexible outer shell 312 is fixedly sleeved outside the annular pressure sensors 311 on the surface of the B-ultrasound probe 305. An electric heating wire is arranged inside the flexible outer shell 312. Through the annular pressure sensors 311, the pressure value when the B-ultrasound probe 305 is inserted into the female vagina can be monitored in real time. Through self-learning of the pressure value and based on multiple clinical experiences, a pressure alarm threshold is set. For example, when the pressure is between 20-30 mmHg, a prompt is triggered. When the pressure abnormally rises and exceeds 30 mmHg, the system immediately issues an audible and visual alarm to prompt the medical staff, which can significantly improve the safety and comfort of vaginal B-ultrasound examinations. And through the electric heating wire, the temperature of the B-ultrasound probe 305 can be maintained, and a gradient temperature design is adopted, 37°C at the entrance and 36°C inside, simulating the natural physiological environment, and further improving the comfort of the B-ultrasound probe 305 when inserted into the patient's body.

[0025] Working principle: When using this device, the patient sits on the seat 2 and the back can naturally lean on the backrest. Then, the two legs are naturally opened and stepped on the footrests 7, which can facilitate the medical staff to perform gynecological examinations and facilitate the subsequent examination work of the colposcope 302 and the B-ultrasound probe 305; The examination data of the colposcope 302 and the B-ultrasound probe 305 can be transmitted to the all-in-one computer 308 in real time and finally displayed on the surface of the display screen 309, so as to facilitate on-site medical staff to judge the patient's physical condition. Moreover, this device can also transmit the detection data to the Internet of Things data storage cloud in real time after obtaining the patient's consent. In this way, integrating the functions of detection and detection data upload based on the Internet of Things can facilitate medical diagnosis in different hospitals and provide big data for convolutional neural networks to learn. After learning the big data, it can provide clinical decision-making support for doctors; When this device is in use, a head-mounted VR glasses 504 can play pictures for the patient to enable the patient to enter an immersive visual experience, divert the patient's attention and reduce the patient's tension. At the same time, the electroencephalogram detection electrode 506 can collect the patient's electroencephalogram signal. By real-time monitoring of the frequency band characteristics of electroencephalogram alpha waves, beta waves, etc., the video content can be dynamically adjusted (such as switching scenes or rhythms) to achieve personalized intervention, thereby further improving the attention diversion effect of this device and further helping the patient to divert attention; When performing the examination work of the B-ultrasound probe 305, take out the B-ultrasound probe 305 clamped inside the card slot 304 and insert it into the female vagina. At this time, the annular pressure sensor 311 can monitor the pressure value in real time when the B-ultrasound probe 305 is inserted into the female vagina. Through self-learning of the pressure value, a pressure alarm threshold is set according to multiple clinical experiences. For example, a prompt is triggered when the pressure is between 20-30 mmHg. When the pressure abnormally rises and exceeds 30 mmHg, the system immediately issues an audible and visual alarm to prompt the medical staff, thereby significantly improving the safety and comfort of vaginal B-ultrasound examination. And the temperature of the B-ultrasound probe 305 can be maintained by the heating wire, and a gradient temperature design is adopted, 37°C at the entrance and 36°C inside, simulating the natural physiological environment and further improving the comfort of the B-ultrasound probe 305 inserted into the patient's body.

[0026] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0027] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-functional gynecological examination device based on the Internet of Things, comprising a bottom plate (1), characterized in that: A seat (2) is fixedly arranged in the middle of the upper end of the bottom plate (1). A detection mechanism (3) for gynecological examination is arranged on one side of the seat (2). A networking system (4) for uploading detection data is also arranged in the detection mechanism (3). A virtual simulation mechanism (5) for distracting the patient's attention is arranged on the side of the seat (2) away from the detection mechanism (3).

2. The multifunctional gynecological examination device based on the Internet of Things according to claim 1, characterized in that: The detection mechanism (3) includes a mounting frame (301), a colposcope (302), a first cross bar (303), a card slot (304), a B-ultrasound probe (305), a first support rod (306), an angle-adjustable fixing frame (307), an all-in-one computer (308), and a display screen (309). A mounting frame (301) is fixedly arranged in the middle of the seat (2). The upper end of the mounting frame (301) is movably provided with a colposcope (302) through a rotating shaft. The rotating shaft where the colposcope (302) is located is a damping rotating shaft, so that the colposcope (302) will not rotate automatically when there is no manual adjustment. A first cross bar (303) is fixedly arranged on one side of the seat (2). A card slot (304) is fixedly arranged at one end of the first cross bar (303). A B-ultrasound probe (305) is movably clamped inside the card slot (304). A first support rod (306) is fixedly arranged on the surface of the seat (2) on one side of the first cross bar (303). An angle-adjustable fixing frame (307) is fixedly arranged at the upper end of the first support rod (306). An all-in-one computer (308) is fixedly arranged on the surface of the angle-adjustable fixing frame (307). A display screen (309) is fixedly arranged on the surface of the all-in-one computer (308).

3. The multifunctional gynecological examination device based on the Internet of Things according to claim 1, characterized in that: The networking system (4) includes an examination data collection module (401), an identity information verification module (402), a data upload module (403), an identity information collection module (404), a data download module (405), and a convolutional neural network learning module (406).

4. The multifunctional gynecological examination device based on the Internet of Things according to claim 1, characterized in that: The virtual simulation mechanism (5) includes a second cross bar (501), a second support rod (502), an adjustment component (503), a head-mounted VR glasses (504), and an elastic band (505). A second cross bar (501) is fixedly arranged on one side of the seat (2). One end of the second cross bar (501) is movably provided with a second support rod (502) through a bearing. The upper end of the second support rod (502) is movably provided with an adjustment component (503) through a rotating shaft. A head-mounted VR glasses (504) is fixedly arranged at one end of the adjustment component (503). An elastic band (505) is fixedly arranged on the surface of the head-mounted VR glasses (504).

5. The multifunctional gynecological examination device based on the Internet of Things according to claim 4, characterized in that: The virtual simulation mechanism (5) further includes electroencephalogram detection electrodes (506). Electroencephalogram detection electrodes (506) are fixedly arranged on both sides of the surface of the elastic band (505).

6. The multifunctional gynecological examination device based on the Internet of Things according to claim 4, characterized in that: An information verification structure (6) for improving the security of inspection data is further provided on the surface of the second support rod (502). The information verification mechanism includes an extension rod (601), an identity information input device (602), an identity information input panel (603), and a fingerprint recognition device (604). An extension rod (601) is fixedly provided on one side of the second support rod (502). An identity information input device (602) is fixedly provided at one end of the extension rod (601). An identity information input panel (603) is fixedly provided on one side of the surface of the identity information input device (602). A fingerprint recognition device (604) is fixedly provided on one side of the identity information input panel (603).

7. The multifunctional gynecological examination device based on the Internet of Things according to claim 2, wherein: A wire (310) for transmitting detection data is provided between the B-ultrasound probe (305), the colposcope (302), and the all-in-one computer (308). The B-ultrasound probe (305) and the colposcope (302) are electrically connected through the wire (310) and the all-in-one computer (308).

8. The multifunctional gynecological examination device based on the Internet of Things according to claim 1, characterized in that: Footrests (7) are provided on both sides of the surface of the seat (2), and armrests (8) are provided on the surface of the seat (2) above the footrests (7).

9. The multifunctional gynecological examination device based on the Internet of Things according to claim 2, characterized in that: A keyboard tray (9) is fixedly provided on one side of the all-in-one computer (308).

10. A multifunctional gynecological examination device based on the Internet of Things according to claim 2, characterized in that: A plurality of annular pressure sensors (311) are fixedly provided on the surface of the B-ultrasound probe (305). A flexible outer shell (312) is fixedly sleeved outside the annular pressure sensors (311) on the surface of the B-ultrasound probe (305), and a heating wire is provided inside the flexible outer shell (312).

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