18 results about "Bladder capacity" patented technology

The utility model provides a wireless and rechargeable bladder pacemaker for monitoring bladder capacity, and relates to the field of medical instruments. The utility model provides a wireless and rechargeable bladder pacemaker for monitoring bladder capacity. The wireless and rechargeable bladder pacemaker comprises a rechargeable current stimulator, a plurality of groups of stimulation mechanisms and a plurality of piezoelectric films, wherein each group of stimulation mechanism comprises two bladder stimulation units; the bladder stimulation unit and the piezoelectric film are respectively connected with the current stimulator through leads; the two bladder stimulation units and the current stimulator in each group of stimulation mechanism are arranged on the surface of the bladder, and the piezoelectric film is arranged in the wall of the bladder. According to the utility model, the volume of liquid in the bladder of a patient can be obtained in real time, the bladder detrusor muscle can be stimulated and induced to contract to complete urination, and most importantly, the stimulation and induction mode of the bladder detrusor muscle does not need the participation of human body movement efferent nerves; the piezoelectric film can convert contraction tension or expansion tension of the bladder wall into electric energy to supply power to the current stimulator.

The invention relates to the field of artificial urethral sphincter, in particular to a self-adaptive artificial urethral sphincter based on bladder capacity monitoring, comprising: a urethral closure unit for applying dynamically adjustable closure pressure on the urethra of a patient; the bladder monitoring unit is used for dynamically monitoring parameters related to the bladder filling state of the patient and generating a signal indicating the bladder filling state; and the implantable control unit is connected with the urethra closing unit and the bladder monitoring unit and is configured to receive the signal from the bladder monitoring unit and dynamically adjust the closing pressure applied to the urethra by the urethra closing unit according to the bladder filling state indicated by the signal. According to the embodiment of the invention, through intelligent adjustment of pressure application according to needs, the urethral tissue can bear high pressure only when the bladder is full or other necessary conditions are needed, and is in a low-pressure state for a long time, so that the total pressure load is reduced, and tissue atrophy and erosion caused by long-term ischemia are prevented.

The invention provides an intelligent bladder volume control method, device and equipment based on bladder pressure monitoring, belongs to the technical field of data processing, and aims to solve the problem of poor precision of keeping the current bladder volume constant, adaptive bladder diversion control can be carried out according to the urine increment rule of a target patient after drinking water, and the accuracy of bladder volume control is improved. The volume of urine in the bladder can be always kept within a certain interval, so that the pressure in the bladder can be prevented from being too high, and the keeping precision of the bladder capacity can be improved to a certain extent.

The invention provides a urination early warning method and system for time sequence prediction based on a large language model, and the method at least comprises the following steps: S1, collecting bladder volume dynamic change data through a urine volume collection terminal in a non-contact manner, and transmitting the data to a mobile terminal APP through a Bluetooth transmission unit; s2, preprocessing the original volume data acquired by the urine volume acquisition terminal through the mobile terminal APP, and recording static characteristics of a user; s3, carrying out feature fusion on the preprocessed volume time sequence data and static features through a large language model prediction server, constructing a three-dimensional input matrix, carrying out prediction reasoning by utilizing a pre-trained large language model, and outputting a future urination time point; and S4, triggering early warning and reminding according to the prediction result and the real-time bladder capacity. The system at least comprises a urine volume collection terminal, a mobile terminal APP and a large language model prediction server. According to the method and the system, accurate prediction of the urination time in the future is realized through deep learning of individual historical data by a large language model.

The application discloses application of metformin in preparation of a medicine for treating interstitial cystitis, and finds that metformin can reduce pain sensitivity of an interstitial cystitis (IC) rat, reduce edema degree of a bladder of the IC rat, restore bladder capacity of the IC rat, repair the bladder mucosa of the IC rat and reduce submucosal hemorrhage, reduce mast cell infiltration, and has a significant curative effect on interstitial cystitis, and can provide a new medicine for treating interstitial cystitis.

The invention discloses a bladder morphology measuring method and device, electronic equipment and a storage medium, and relates to the technical field of ultrasonic noninvasive detection and medical image processing. The method comprises the following steps: extracting an effective echo sequence based on an ultrasonic signal, fitting a bladder form according to spatial arrangement characteristics of three-dimensional discrete point cloud coordinate information, and optimizing fitting parameters by adopting a least square method and a Newton iteration method; performing breathing follow-up compensation processing on the initial geometric model, and dispersing the initial geometric model after breathing compensation obtained after processing into an elastic network model of a topological structure so as to perform local elastic deformation optimization; determining the geometric volume of the bladder according to the elastic correction curved surface by adopting a voxel division method; and performing weighted correction according to the individual correction coefficient and the geometric volume of the bladder to obtain the bladder capacity so as to realize measurement of the bladder form. The method can be applied to bladder capacity calculation of the flexible ultrasonic patch, and the accuracy of capacity calculation is improved.

Embodiments disclosed herein are directed to a self-learning bladder volume monitoring system. The system can include a bladder volume (BV) system configured to measure an electrical impedance of a bladder region of a patient and determine a volume of fluid disposed therein using an impedance to bladder volume model (“By model”). Further, the system can measure a total body water (“TBW”) for the patient and modify the BV model to account for variations in TBW within the tissues surrounding the bladder providing a more accurate bladder volume measurement. The system can include a “training unit” which can include one of a user input interface, an automatic urine output monitoring system, an ultrasound system, and an intrabladder pressure system configured to verify a volume of fluid within or voided from the bladder and train the BV model.

The invention discloses a double-target inhibitor aiming at PIEZO1 and NLRP3 and application of the double-target inhibitor in bladder dysfunction after pelvic tumor operation, based on the pathological mechanism that PIEZO1 is abnormally activated due to postoperative mechanical stimulation, Ca < 2 + > influx increase is caused, and NLRP3 inflammasome is further activated, PIEZO1 inhibiting polypeptide GsMTx4 and NLRP3 small-molecule inhibitor MCC950 are compounded according to a certain mass ratio, and the PIEZO1 inhibiting polypeptide GsMTx4 and NLRP3 small-molecule inhibitor MCC950 are compounded according to a certain mass ratio. A temperature-sensitive hydrogel sustained release preparation capable of being locally injected into the bladder is constructed, and dual-channel synergistic inhibition is achieved; animal experiments show that the composition can significantly reduce the expression level of IL-1beta, inhibit the peak amplitude of Ca < 2 + >, reduce the inflammation score and fibrosis area proportion, improve the residual urine volume and bladder capacity, and reduce the system exposure level and the risk of abnormal liver and kidney functions; the technical scheme has a clear mechanism basis and good safety, and is suitable for local intervention of postoperative bladder dysfunction.

According to the technical scheme, the catheter capable of achieving the constant bladder capacity is characterized in that the catheter comprises a catheter body, the catheter body comprises an inner pipeline, an outer pipeline and an insertion body, the head ends and the tail ends of the inner pipeline and the outer pipeline are closed to form an interlayer cavity, a through hole is communicated with the inner pipeline, a small balloon is arranged on the outer pipeline, and the small balloon is communicated with the insertion body. The outer pipeline is provided with a first injection pipe, the first injection pipe is communicated with the small balloon through the interlayer cavity, the guide pipe body is provided with a large balloon, the outer pipeline is provided with a second injection pipe, and the second injection pipe is communicated with the large balloon through a connecting pipe; the small balloon and the large balloon are arranged on the catheter body, after the catheter body is placed into the bladder, a certain amount of liquid needs to be injected into the small balloon before radiotherapy to achieve the effect of fixing the catheter body, and a certain amount of air or normal saline is injected into the large balloon during radiotherapy every time, so that the constant bladder capacity is achieved; therefore, the radiotherapy accuracy is improved, and the radiotherapy treatment effect is improved.

Methods and systems for ultrasound-based urodynamic evaluation are presented in the present disclosure. Pre-void and post-void ultrasound data of a bladder is acquired, in addition to a dynamic acquisition during voiding on a sagittal plane that encompasses the bladder, bladder neck and proximal urethra. The dynamic acquisition may be an ultrasound cine scan or a uroflowmetry measurement during voiding. Using semiautomatic segmentation, the volumes are quantified and virtual models are generated. Similarly, the ultrasound cine sagittal images are segmented to determine the deformation pattern of the bladder during voiding. Using an algorithm, a volume interpolation between pre and post void volumes is performed using the deformation profile obtained from the dynamic sagittal images as a constraint. Resolved bladder volumes are then analyzed using a computational fluid dynamics algorithm to derive flow rates and pressures and to calculate indices of contractility (BCI) and bladder obstruction (BOOI).

The invention provides a noninvasive bladder function monitoring method and system based on time sequence prediction, and the method comprises the steps: training a bladder pressure prediction model based on the clinical data of a patient and the UDS examination data of the patient; obtaining water drinking urethral catheterization data, heart rate and environment temperature and humidity of a patient to be monitored, and inputting the data into the trained urine generation rate prediction model to obtain real-time bladder volume data; and inputting the clinical data of the to-be-monitored patient and the predicted bladder volume data into the bladder pressure prediction model to obtain a bladder pressure prediction value of the to-be-monitored patient. By collecting UDS images and diagnoses of a large number of patients and combining clinical data of the patients, drinking urine catheterization data, heart rate and environment temperature and humidity, the prediction model is trained, the bladder pressure of the patients at different disease stages and under different bladder filling degrees is predicted, a non-invasive AI UDS monitoring means is provided for the patients, and the accuracy of bladder pressure monitoring is improved. And a patient is helped to better manage the bladder in a home state.

The invention discloses a rehabilitation evaluation method for a urine control neural circuit function and a readable storage medium, and the method comprises the steps: collecting a standard state electrophysiological signal and a dynamic process electrophysiological signal of a user; extracting multi-dimensional features of the standard state electrophysiological signal and the dynamic process electrophysiological signal to obtain a standard state electrophysiological signal feature vector and a dynamic process electrophysiological signal feature vector of the user; according to the standard state electrophysiological signal feature vector of the user, a preset dichotomy model is adopted to calculate a dichotomy accuracy index of the user, according to the dynamic process electrophysiological signal feature vector of the user and a preset health baseline range, a dynamic process index of the user is calculated, and a physiological index of the user is calculated. Calculating a full bladder capacity index of the user; according to the physiological index, the dichotomy accuracy index, the dynamic process index and the full bladder capacity index of the user, the rehabilitation score of the urine control neural circuit function of the user is obtained through calculation.

A bladder volume monitoring system based on Advanced Reduced Instruction Set Computing Machines (ARM), characterized in that it comprises: a three-chamber urinary catheter (2), an air supply channel (26), a fluid supply channel (25), and a fluid drainage channel (27); wherein one end of the three-chamber urinary catheter (2) is positioned inside a bladder (24) during use, and the other end of the three-chamber urinary catheter (2) is provided with three openings, each being an air opening (21), a fluid supply opening (22), and a fluid drainage opening (23); wherein the air inlet end of the air supply channel (26) is connected to an external air source, and the air outlet end of the air supply channel (26) is connected to the air opening (21);wherein the fluid inlet end of the fluid supply channel (25) is connected to an external fluid container and the fluid outlet end of the fluid supply channel (25) is connected to the fluid supply port (22); wherein the fluid inlet end of the fluid drainage channel (27) is connected to the fluid drainage port (23) and the fluid outlet end of the fluid drainage channel (27) is connected to an external container; wherein the end of the three-chamber urinary catheter (2) located inside the bladder (24) is provided with several three-chamber urinary catheter fluid inlet ports (22a) connected to the fluid supply port (22) and a three-chamber urinary catheter fluid drainage port (23a) connected to the fluid drainage port (23);wherein the end of the three-chamber urinary catheter (2) located inside the bladder (24) is further equipped with a balloon (20), and the balloon (20) is connected to the air opening (21); wherein a sensor (16) is arranged on the fluid supply channel (25), and the sensor (16) serves to monitor the pressure in the fluid supply channel (25) in order to determine the pressure in the bladder (24).

The invention provides a bladder capacity accelerated measurement method based on an FPGA. The method comprises the steps that a bladder ultrasonic image is obtained, left and right extreme points of the lower wall of the bladder ultrasonic image are positioned, bladder wall adduction inspection is completed, and the adduction points are merged into a boundary point array; adopting a Bresenham straight line algorithm to set 8-bit gray values of pixel positions where all boundary points in the boundary point array are located as 255, generating a closed bladder area contour, and packaging a bladder area contour detection algorithm into an edge detection IP core; based on the edge detection IP core, a lightweight U-Net capacity measurement IP core is adopted to carry out capacity measurement; wherein the lightweight U-Net is an optimized U-Net network, and comprises the steps of performing spatial selective suppression on a feature map extracted by the U-Net network by adopting pixel information based on a bladder contour in a bladder ultrasound image, introducing residual connection to a jump connection part, enhancing gradient flow and suppressing artifacts; in the process of measuring the bladder capacity, end-to-end bladder capacity measurement is completed by combining an input channel, an output channel and a pixel parallel three-dimensional calculation structure of a network model; according to the method, dynamic threshold calculation based on the local neighborhood of the core point and an extreme point screening rule are combined, and the problem that a traditional algorithm is easily interfered by ultrasonic noise and surrounding tissues is solved.

The invention discloses nano-silver polyphenol-recombinant humanized collagen bionic gel for interstitial cystitis, belongs to the field of biomedical materials and regenerative medicine, and particularly relates to a novel biomedical composite gel material. Especially aiming at the pathological characteristics of interstitial cystitis IC, silver nanoparticles, a surface polyphenol network and PDA-amine functionalized combination III type recombinant humanized collagen and a sodium alginate matrix are crosslinked through EDC / NHS or Genipin to construct a stable sustained-release system; the prepared gel shows excellent antibacterial activity, cytocompatibility, appropriate rheological properties and swelling rate in vitro, is controllable in degradation half-life period, can significantly improve frequent urination, reduce inflammation score and recover bladder capacity in an animal model, and is suitable for cystitis local perfusion treatment.

The image shown in this diagram relates to images of a patient's bladder that were automatically and non-invasively observed and visualized using an ultrasound imaging device. Two sector transducers capture the bladder in two cross-sections, and the bladder capacity is calculated based on these images and displayed along with the bladder cross-sectional images. The following is a detailed explanation based on the diagram. First, remove the probe (see reference diagram) from the cradle and turn on the power button to display the home screen and operation images. The operation images are divided into a status bar at the top and a main button area at the bottom. The status bar displays the time, number of images that can be saved, current ID, sound (ON / OFF), and battery level, while the main button area displays various measurement modes, measurement data, settings, and ID setting selections. The operation images show the positional relationship when the operator (orange circle) is standing to the right of a patient (white human-shaped pictogram) lying on their back and when the operator is standing to the left. In this state, the probe coated with ultrasound gel is aligned to the midline approximately 3 cm above the patient's pubic bone. The front of the display faces the operator. Image 1, showing the result after the change, shows a cross-sectional image taken when the operator is standing to the right of the patient, while Image 2, showing the result after the change, shows a cross-sectional image taken when the operator is standing to the left of the patient. Of the two bladder cross-sections, one is displayed rotated 90 degrees relative to the other. In Images 1 and 2 showing the result after the change, the body shape can be selected using the "Body Shape Button" and the image brightness can be adjusted using the "Brightness" button as needed. To return to the original state, select the Home button.

The invention discloses a wearable ultrasonic device for bladder capacity monitoring and a preparation method thereof, and relates to the technical field of medical instruments and bioelectronics, the device comprises a flexible ultrasonic sensor and a signal processing unit; the flexible ultrasonic sensor includes: a flexible substrate layer; the ultrasonic sensing array is arranged on the flexible substrate layer and is used for acquiring A-type ultrasonic echo signals of a bladder area; the acoustic matching layer is adhered to the ultrasonic sensing array; an acoustic lens structure is integrated in the acoustic matching layer; the flexible circuit module is electrically connected with the ultrasonic sensing array and is used for collecting and transmitting A-type ultrasonic echo signals; the signal processing unit is connected with the flexible circuit module, and is used for processing the A-type ultrasonic echo signal, performing interval classification on the bladder capacity based on a machine learning model, and determining a classification result; the whole wearable ultrasonic device is of a flexible attached structure, and the bladder capacity can be monitored more accurately.