65 results about "Pain management" patented technology

The invention discloses a nerve postoperative pain monitoring and feedback method and system, and relates to the technical field of medical information, and the method comprises the following components: a data acquisition step, a digital twin model construction step, a pain simulation step, a visualization and interaction step and a feedback and scheme making step. By constructing the digital twinborn model of the postoperative body of the patient, the postoperative physiological structure, the nerve function state and the pain-related physiological mechanism of the patient can be accurately simulated, and based on the model, a doctor can simulate different treatment schemes and pain responses under external stimulation, so that a more personalized pain management scheme is formulated, and the pain management efficiency is improved. According to the personalized management mode, the accuracy of pain management is remarkably improved, postoperative pain of the patient can be relieved more effectively, and the treatment experience and satisfaction degree of the patient are improved.

According to the intelligent green light phototherapy glasses and the intelligent adaptation method thereof, a narrow-band green light LED light source with the central wavelength being 530 + / -5 nm is adopted, and individualized pain management is achieved in combination with heart rate variability, electrodermal response and pupil dynamic monitoring. A multi-source sensor and a micro control panel are arranged in the glasses, physiological data are collected in real time, the illumination intensity, frequency and irradiation mode are dynamically adjusted through an artificial intelligence algorithm, and a closed-loop phototherapy control system is constructed. The device supports Bluetooth / Wi-Fi connection, interacts with a mobile terminal APP, and realizes data recording, curative effect evaluation and remote monitoring. The system has multiple safety mechanisms such as constant-current driving, temperature feedback, over-illumination protection and posture detection, and long-term wearing safety is ensured. Through the regulation effect of green light on pain neural pathways, a safe, portable and intelligent chronic pain non-drug treatment means is provided under the condition that daily activities are not interfered, and high compliance and a remarkable analgesic effect are achieved.

Systems, methods, and computer-readable media for and improvement rehabilitation infrastructure. For example, a method may include using, inter alia, objective data to optimize treatment plans to support user progression during rehabilitation for the purpose of assisting in determining AI-driven interventions by using machine learning to generate at least one data signature. In some embodiments, a method may perform AI-driven interventions via optimization of treatment plans in order to support user progression during rehabilitation by performing, based on data signatures related to medically-associated events, selective data injection. Some other embodiments use evidence-based research to enable AI and machine learning to select and modify treatment plans in real-time at scale. Further, the improved rehabilitation infrastructure enables, via pain management, user compliance with treatment plans.

The invention provides a pain discrimination method based on a time sequence and multiple modes. The pain discrimination method comprises the steps that conventional physiological indexes, behavior characteristic indexes and potential auxiliary indexes are collected; preprocessing the multi-modal data, including abnormal value processing, individual normalization and time alignment, and constructing a time sequence data block; establishing an individual baseline, dynamically calibrating a baseline threshold value every 7 days, and calibrating a blood glucose baseline once every 3 days for a diabetic patient; physiological features, behavior features and time sequence features of the time sequence data blocks are extracted through an AI model, multi-modal features are fused through an attention mechanism, and full-level pain is recognized through multi-modal index synchronous verification, multi-classification probability calculation and grading threshold judgment; and outputting a clinical intervention strategy corresponding to the pain level, and dynamically updating the model parameters and the baseline threshold based on clinical intervention feedback and new crowd data, so that various crowds can be covered, the hierarchical intervention strategy is output, the intervention delay is shortened, and the clinical practicability and accuracy of pain management are improved.

The present application relates to the technical field of medical image processing, in particular to a pain assessment system for neonatal facial expression image analysis, comprising a data acquisition module, a facial expression manifold construction module, a curvature field analysis module, a spatiotemporal feature hierarchical analysis module and a pain assessment and alarm module, the facial expression manifold construction module maps discrete facial feature points to a Riemann manifold space to construct an individualized expression manifold model; the curvature field analysis module calculates a facial expression dynamic curvature field and extracts micro-motion curvature features; the spatiotemporal feature hierarchical analysis module performs multi-scale decomposition on the curvature features to identify pain-related micro-motion units; the pain assessment and alarm module calculates a pain score and performs early warning, the present application significantly improves micro-expression capture sensitivity, is robust to changes in shooting conditions, improves the ability to distinguish different types of pain, realizes objective quantitative assessment and multi-level early warning of the pain state of neonates, and provides reliable technical support for clinical pain management.

Orthobiologics systems and methods for evaluation of exercise performance, such as physical rehabilitation performance, alone or in combination with pain remediation strategies are disclosed herein. The disclosure provides surgical inserts conducive to healing, approaches for monitoring and evaluation of surgical and nonsurgical rehabilitation, and pain management, collectively for the encouragement of rehabilitation from physical pain such as movement related physical pain.

The gynecological urethral catheterization pain management integrated workstation comprises a main control terminal, a self-adaptive urethral catheterization support with force feedback, a three-dimensional navigation module, a consumable management module and a complication early warning system. The main control terminal is connected with the self-adaptive urinary catheterization support, the three-dimensional navigation module, the consumable management module and the complication early warning system through a network. By means of the AR dynamic navigation and pressure feedback linkage function, the operation time is effectively shortened, the operation efficiency is improved, and the qualified rate of independent operation of new nurses is increased. In the aspect of pain management, the individualized NRS evaluation module evaluates the pain, timely intervention is performed, and the pain of the patient is reduced. The complication prevention and control effect is obvious, the damage to the urethra is reduced, and the urinary tract infection incidence rate is reduced. Meanwhile, complete tracing of consumables is achieved through the RFID consumable management and electronic medical record docking function, and data support is provided for continuous improvement of nursing quality.

The invention relates to the technical field of medical informatics, in particular to a pain management-oriented physiological signal real-time monitoring and intervention system, which comprises a determination module for determining the abnormal tendency of a stimulation window updated in real time at each updating moment to obtain an abnormal tendency sequence; the determination module is also used for determining similar fluctuation segments in the abnormal tendency sequence; the determination module is also used for determining an abnormal process factor of the physiological sensing signal at the current moment based on the abnormal tendency difference value and the length of each similar fluctuation section; the determination module is also used for determining a trigger factor for evaluating the abnormal pain state at the current moment according to the abnormal process factors of each physiological sensing signal at the current moment and the previous moment, and performing normalization processing on the trigger factor to obtain a normalized trigger factor; and the intervention module is used for carrying out visualization and intervention on the pain degree of the target user based on the normalized trigger factor. According to the invention, the physiological signal abnormity identification accuracy and sensitivity are improved.

Orthobiologics systems and methods for evaluation of exercise performance, such as physical rehabilitation performance, alone or in combination with pain remediation strategies are disclosed herein. The disclosure provides surgical inserts conducive to healing, approaches for monitoring and evaluation of surgical and nonsurgical rehabilitation, and pain management, collectively for the encouragement of rehabilitation from physical pain such as movement related physical pain.

Orthobiologics systems and methods for evaluation of exercise performance, such as physical rehabilitation performance, alone or in combination with pain remediation strategies are disclosed herein. The disclosure provides surgical inserts conducive to healing, approaches for monitoring and evaluation of surgical and nonsurgical rehabilitation, and pain management, collectively for the encouragement of rehabilitation from physical pain such as movement related physical pain.

Systems, methods, and devices disclosed herein include a transcutaneous spinal cord stimulation (tSCS) system with a stimulation electrode grid. The stimulation electrode grid includes a plurality of anodes and a plurality of cathodes, and the stimulation electrode grid is operable for placement proximate to a spinous process. The system also includes a particularized electrical field generated by selective activation of the stimulation electrode grid. Moreover, a localized tSCS, provided by the particularized electrical field is operable to cause a neuromodulation effect. Also, the stimulation electrode grid includes a substrate material. The plurality of cathodes and the plurality of anodes are both arranged as rows or columns on the substrate material to form an integrated unit. The stimulation electrode grid includes a plurality of selectively activated electrode array activation configurations, and the neuromodulation effect generated by the system can be used to enhance voluntary extremity function and pain management.

The utility model belongs to the technical field of warm compress tools, and particularly relates to a pain department warm compress tool which comprises a warm compress assembly, the warm compress assembly comprises a heating column and an elastic sleeve, the outer side of the heating column is fixedly sleeved with the elastic sleeve, the inner side of the elastic sleeve is filled with liquid, the two ends of the elastic sleeve are fixedly connected with fixing lantern rings, and the fixing lantern rings are fixedly connected with the heating column. The fixing lantern ring is fixedly connected to the outer side of the end of the heating column in a sleeving mode, threaded grooves are symmetrically formed in the side walls of the two ends of the heating column, a first connecting cylinder is arranged on one side of the heating column and comprises a positioning cylinder and a rotating ring, a first positioning belt is connected to the rotating ring in a sleeving mode, and a second connecting cylinder is arranged on the other side of the heating column and comprises a second positioning belt. And the outer side of the second connecting cylinder is sleeved with a second positioning belt. During warm compress, a patient or a nurse does not need to manually hold the warm compress device, operation is convenient, meanwhile, warm compress tools do not need to be frequently replaced, and convenience of warm compress operation is further improved.

This invention relates to an intelligent high-voltage pulsed electrical stimulation system and control method, addressing the problems of poor individual adaptability, low positioning accuracy, and weak safety in existing technologies. The system acquires body surface point clouds through a split scanning module (infrared / TOF) and achieves dynamic mapping of anatomical structures (error <1.2mm) by combining a medical image template library. It dynamically adjusts the high-voltage pulse (0-1200V) based on a BMI-impedance model and employs an improved KNN algorithm to match the discharge scheme. An innovative three-level safety protection system is implemented, using impedance mutation detection, displacement compensation, and phase cancellation (electric field attenuation >99.9%) to protect dangerous areas. Clinical validation shows a positioning accuracy of ±0.5mm, a pain relief rate of 92% in obese patients (BMI=32), and a false trigger rate of <0.01%. This invention achieves precise targeting and safe control, and is applicable to fields such as muscle rehabilitation and pain management.

A system and method for visualizing a position of a needle inside a patient's body for use in providing regional anesthesia and a system and method for providing electro anesthesia during surgery, post surgery and during rehabilitation. The method and system use EMG / AMG information regarding activity of a muscle associated with a target nerve to provide a visualization of a position of a needle or other device relative to the target nerve and to determine efficacy of the electro anesthesia. EMG / AMG information and feedback information such as EEG information may be used to provide automatic adjustment of a waveform provided for electro anesthesia to maintain a suitable pain level.

A group of marker sets capable of effectively predicting acute pain of a patient after cesarean section is screened out, and the marker sets comprise whether the patient has preoperative anxiety or not, whether the patient is gestational diabetes mellitus or not, the age of the patient, the Pittsburgh sleep quality index (PSQI) of the patient, the gestational week age of the patient and the abdominal circumference of the patient. On the basis, a visual and quantifiable column diagram prediction model is constructed, the method can be used for evaluating the risk probability of acute pain occurring after a cesarean section patient is operated clinically before an operation, targeted and individualized pain management is provided for the patient subsequently, the pregnancy safety of the patient is improved, and physical and psychological pain of the patient after the operation is relieved.

Biomaterials, implants, methods of making the biomaterial and implants, methods of providing pain relief by administering the biomaterial or implant to a patient, and kits that include such biomaterials, implants, or components thereof. The biomaterials may include microparticles including one or more active pharmaceutical agents, such as anesthetics, antibiotics, and corticosteroids, which help to provide pain relief over an extended period of time. The biomaterials may be applied directly to the intervertebral disc or in the disc space to provide direct therapy for the management of disc pain.

Controlled heating can be used to achieve selective nerve block of certain neural fibers. As an example, the selective heat-induced neural modulation can be used for pain management. A controller can determine an amount of energy to be delivered to a heat delivery component of a neural prosthetic device for conversion to a heat signal and application to a nerve to block neural conduction in at least a portion of the nerve. The amount of energy to be delivered is determined based on a thermal dose profile. The controller can receive a signal comprising a temperature of the nerve when the heat signal is applied to the nerve; and alter the amount of energy received by the heat delivery component based on the temperature of the nerve so the amount of energy follows the thermal dose profile, and the temperature of the nerve remains within an allowable range.

1. Name of the product in this design: Far-infrared moxibustion therapy device. 2. Purpose of this design: This design is used for pain management and rehabilitation therapy. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of medical management, and discloses a medical management system and method based on artificial intelligence. By collecting health archives, postoperative evaluation and sensor data of patients, a rehabilitation plan is customized for each patient, and the problem of one-time operation is avoided. The system sets multi-dimensional rehabilitation targets, such as functional recovery, muscle recovery, pain management and mental health, according to patient information and evaluation data, and dynamically adjusts the priority through a weighted target function to ensure the balance of the rehabilitation process. A sensor is worn to monitor data such as joints and gaits in real time, the scheme is dynamically adjusted, and comfort and the effect are ensured. Meanwhile, interdisciplinary integrated support is achieved, body recovery and mental health are concerned, anxiety is relieved, and confidence is improved. Group members and task optimization interaction and cooperation are dynamically adjusted, the collective rehabilitation effect is enhanced, and the participation degree is improved.

A pain-management system (300) configured to: receive a target-pain-score (314) that represents a level of pain that the user considers acceptable during a defined period of time: receive one or more target-input-parameters (304) which represent properties and / or activities of a user during the same defined period of time, wherein the one or more target-input-parameters (314) are a subset of a full list of input-parameters that are available: receive one or more settings (315) that represent one or more input-parameters that are to be increased or decreased: use a neural network that has been trained for the individual user to determine one or more calculated-user-parameters (316) based on the target-pain-score (314) and the target-input-parameters (304), wherein at least one of the calculated-user-parameters (316) is set based on the settings (315); and present the one or more calculated-user-parameters (316) using a user interface.

The Intelligent Pain Management Patch System (IPMPS) is a wearable medical device designed to deliver personalized and continuous pain relief for palliative care patients. The system integrates advanced sensor technology, a smart drug delivery system, and AI-driven pain assessment. The patch continuously monitors patient physiological parameters, assesses pain levels in real-time using AI, and administers precise doses of analgesic medication. The system includes a user interface for healthcare providers and patients, facilitating remote monitoring and adjustments. The IPMPS offers a non-invasive, personalized approach to managing chronic pain, reducing the need for oral medications and minimizing side effects.

Systems, devices, and methods related to wound therapy are disclosed. Different aspects of wound care, including mechanical wound therapy, wound monitoring, irrigation, debridement, and delivery of therapies to the wound surface can be combined to improve effectiveness of treatment. The disclosed techniques can provide various type of clinical applications of wound therapies, including reverse pulse lavage, gas therapy, bacterial count measurements, pressure-based ulcer prevention, pain management, peritoneal dialysis, and controlled tissue in-growth, among others. In some instances, the systems described herein can be made portable and operable without the use of electricity, which provides potential to provide mechanical wound therapy in settings without access to extensive clinical facilities.

This invention relates to the fields of digital therapy, intelligent medical devices, and applied artificial intelligence technologies, and more specifically to a closed-loop pain management method and system integrating diagnostic assistance and interference-resistant sensing. It includes: a wearable device comprising: a neuromodulation signal generator configured to generate neuromodulation stimulation pulses; a biosensor array physically integrated with the neuromodulation signal generator configured to sense physiological data indicating the user's autonomic nervous system activity; a controller configured to execute a time-division multiplexing protocol; a processor; and a non-transitory computer-readable storage medium associated with the processor for generating a diagnostic support report. This invention enables simultaneous effective neural stimulation and high-fidelity ANS signal acquisition on a single wearable device.

A pain management system includes: a resorbable electrode mounted on a substrate configured to be implanted on the nerve bundle of a patient, the resorbable electrode being configured to emit electrical pulses to the nerve bundle; and an electrical signal transmitter operatively and wirelessly connected with the resorbable electrode, the electrical signal transmitter configured to transmit signals to the electrode to generate electrical pulses, the electrical signal transmitter configured to be mounted on the patient's skin near the resorbable electrode.

The invention provides a tumor pain management system based on an artificial intelligence technology, and relates to the technical field of medical auxiliary management systems, and the system comprises a biosensing module which is used for real-time physiological and biochemical monitoring; the AI analysis module is used for analyzing the data of the biosensing module and providing analysis data; the personalized pain management module is used for performing terminal control on the analysis data of the AI analysis module; the doctor / patient interface is used for terminal control of doctors / patients; the data storage module is used for storing physiological and biochemical parameters, analysis results and pain management schemes of patients, and through cooperative work of the AI analysis module and the personalized pain management module, the system can formulate the personalized pain management schemes according to the physiological and biochemical parameters of each patient, and the pain management schemes are used for pain management. The personalized management mode can more effectively relieve the pain of the patient and improve the life quality of the patient.

The invention discloses a physiotherapy robot device with a pain nursing management function and a sequential nursing method. The physiotherapy robot device comprises a data acquisition and evaluation module, an AI national medicine brain analysis module, a software and hardware collaborative execution module and an effect dynamic feedback and optimization module. The data acquisition and evaluation module is used for integrating infrared thermal imaging, tongue condition, pulse condition and other traditional Chinese medicine constitution data and imaging, biochemical index and other western medicine diagnosis data; the AI national medicine brain analysis module fuses traditional Chinese and western medicine data, judges the cold-dampness level and dialectical pain types in combination with the vicu defensive five-level cold-dampness theory, and generates a personalized recuperation scheme; the software and hardware collaborative execution module accurately executes a scheme through a mechanical arm of the AI physiotherapy robot main body and multiple types of physiotherapy probes; the effect dynamic feedback and optimization module collects intervention effect data in real time, dynamically optimizes a scheme and establishes double closed loops to guarantee safety, and the problems that traditional pain management evaluation is not accurate, scheme personalization is insufficient, physiotherapy precision is low, dynamic feedback is lacked and the like are solved.

A thigh-high sock for managing knee and ankle pain during sleep includes a sock body extending from a foot area to an upper thigh area. A first stuffing-filled pocket may be positioned near a knee area, located behind and on an inner leg side. A second stuffing-filled pocket may be positioned near an ankle area, located on a front and inner leg side. Rubber slip-strips may be positioned on an inner surface to maintain positioning during sleep movements. The pockets may include zippered closures for stuffing adjustment. The sock may accommodate various sleep positions while providing targeted cushioning support. A method includes adjusting stuffing materials and wearing the sock during sleep. A system may include left and right socks with distinct configurations for comprehensive lower extremity pain management during sleep periods.

A system and method are disclosed that supports closed-loop neuromodulation while avoiding stimulation artifact complications. Specifically, the system employs front-end spatial filtering, which removes stimulation artifacts in real time. It preserves the evoked neural responses by considering the differences in propagation speed and the spatial distribution and correlation of artifact signals. This technology can be used in various medical applications that benefit from operating in a closed-loop manner, such as pain management, motor function restoration, retinal prostheses, gastrointestinal implants, vagus nerve stimulation, sciatic nerve stimulation, and cortical neuromodulation.

The present disclosure relates to radiotracers that selectively bind to voltage-gated sodium channels (e.g., NaV1.7 or NaVl.8) and which are useful for detecting, imaging, and / or quantifying the NaVs, e.g., using positron-emission tomography (PET). The disclosure is also directed to processes for preparing the radiotracers, and to the use of the radiotracers for imaging a tissue or a subject, e.g., in vivo. The disclosure is further related to methods of pain management and improved identification and diagnosis allowing for rapidly identifying the location of or source of pain. The disclosure also relates to growth mediums, cell cultures, and kits.

The invention discloses an evaluation method and system for improving postoperative sleep of an elderly patient through nerve block analgesia, relates to the field of anesthesiology and pain management, and solves the problems that it is difficult to construct a staging model by using a CNN deep learning framework, and it is difficult to obtain multiple comprehensive indexes by recording data related to sleep quality in the whole night sleep period through PSG detection. The method comprises the following steps of: randomly dividing the elderly patients into a control group and an experimental group; carrying out a PSG test in a hospital sleep laboratory; constructing a staging model by using a CNN deep learning framework, and obtaining a sleep time comprehensive evaluation index, an awakening time continuous interval comprehensive index and a sleep respiration and limb disorder comprehensive index; the multiple indexes and the sleep efficiency are combined to obtain a comprehensive sleep quality evaluation index; and analyzing the sleep quality improvement condition according to the control group-experimental group comprehensive sleep quality proportion value.