149 results about "Pain management" patented technology

The invention discloses a whole-process patient self-control analgesia management platform and method based on artificial intelligence, and relates to the related field of analgesia management, and the platform comprises a multi-source data interaction module which is used for building a time sequence standard data set; the information configuration module is used for starting the self-control analgesia pump; the AI pain evaluation module is used for generating a pain scoring result; and the identification early warning module is used for generating graded early warning. The technical problems of insufficient safety and unstable effect in the analgesia management process due to dependence on a fixed dose threshold and lagged artificial pain assessment in traditional patient self-control analgesia management are solved, the whole-process pain management platform based on artificial intelligence is constructed, multi-source data can be analyzed in real time, and the pain management efficiency is improved. And the pain state of the patient is dynamically evaluated, and the parameters of the analgesia pump are automatically adjusted, so that the technical effects of personalized analgesia management and safety and effectiveness in the analgesia process are realized.

The invention provides a pain assessment system and method based on multi-modal physiological signals. The system comprises a multi-modal signal acquisition module, a signal preprocessing module, a multi-modal feature extraction module, a deep fusion analysis module, an individualized calibration module and a result output and early warning module. By synchronously collecting and analyzing multi-dimensional data such as facial expressions, sound features, physiological signs and behavior responses and combining deep learning and multi-modal information fusion technologies, objective quantitative evaluation and real-time monitoring of the pain degree are achieved, and accurate decision support is provided for clinical pain management.

The invention discloses a pain management method based on bioelectrical impedance data and a machine learning algorithm, and relates to the technical field of medical health, and the method comprises the steps: carrying out the phase delay analysis of an impedance phase spectrum matrix, calculating the change rate of a phase angle of each frequency point along with time, and obtaining the maximum phase lag time; according to the temperature field sequence and the maximum phase lag time, time-space registration is carried out through a multi-modal data fusion method and impedance modulus changes of the corresponding areas, and a pain biomarker feature library is generated; through a bidirectional LSTM and a cross attention fusion method, time sequence modeling and cross-modal correlation analysis are carried out on bioelectricity signal characteristics extracted by a sliding window and historical pain data, a dynamic evolution rule of pain development is captured, a pain management triple containing pain intensity, intervention response and prognosis evaluation is generated, and a pain management result is obtained. And a quantitative basis is provided for personalized treatment.

An interactive pain management system is provided comprising a laser treatment device and an application executing on the device that receives entry of identification information for a first patient and receives entry of a body region to receive treatment. The system also receives entry of a present pain level experienced in the body region, accesses stored information describing previously reported conditions of the first patient and based on the received entries and the accessed store information, determines a treatment regimen for the first patient. The laser treatment device executes the treatment regimen by manual administration by the first patient or a qualified technician. The system requests entry of the first patient's present condition, the condition comprising one of feeling worse, feeling better, and experiencing no change since an immediately previous treatment. Changes in the condition of the first patient are incorporated into the determination of the treatment regimen.

The invention provides an artificial intelligence spinal nerve regulation and control system and method based on a multi-modal physiology-nerve-experience closed loop, and relates to the technical field of medical instruments, the system comprises an implantable stimulation and sensing subsystem, a body surface and wearable sensing subsystem, a communication and time synchronization subsystem and a control processing unit, the implantable stimulation and sensing subsystem, the body surface / wearable sensing subsystem and the control processing unit are in communication connection in pairs through the communication and time synchronization subsystem. According to the method, the fundamental limitation that in the prior art, only dosage is maintained, and brain and subjective experience is ignored is broken through, and more stable, more efficient and more personalized accurate pain management is realized through multi-modal fusion and hierarchical cooperative control.

The invention discloses an AI-based personalized pain management system and method, and the system comprises a multi-dimensional data collection module which is used for collecting multi-dimensional monitoring data including user physiological state data, motion data and location information data, and bio-electricity signal sensing data in real time; the pain type identification module is used for performing feature extraction on the physiological state data and the bio-electricity signal sensing data and identifying the pain type and the pain level of the user in combination with basic information of the user; the pain trend prediction module is used for performing time sequence analysis based on the pain type, the pain level and the multi-dimensional monitoring data, and predicting the pain trend of the user in a future preset time period; and the feedback evaluation module is used for outputting a pain management evaluation report of the user according to the pain type, the pain level and the pain trend. According to the invention, accurate monitoring, assessment and intervention of pain can be realized, so that pain management is more intelligent and personalized, and help is provided for improving the life quality of a user.

The invention relates to an intelligent high-voltage pulse electrical stimulation system and a control method, and solves the problems of poor individual suitability, low positioning precision and weak safety in the prior art. The system obtains body surface point cloud through a split scanning module (infrared / TOF), and dynamic mapping of an anatomical structure is achieved in combination with a medical image template library (the error is smaller than 1.2 mm); dynamically adjusting a high-voltage pulse (0-1200V) based on a BMI-impedance model, and adopting an improved KNN algorithm to match a discharge scheme; three-level safety protection is innovated, and dangerous area protection is achieved through impedance sudden change detection, displacement compensation and phase counteracting (electric field attenuation is larger than 99.9%). Clinical verifications show that the positioning precision is + / -0.5 mm, the pain relief rate of obese patients (BMI = 32) is 92%, and the false touch rate is less than 0.01%. Accurate targeting and safe regulation and control are achieved, and the method is suitable for the fields of muscle rehabilitation, pain management and the like.

The invention provides a pain expected deviation evaluation system and method, and relates to the technical field of pain management and electrophysiological signal processing. An experiment normal form containing three clue types of'determined high pain ', 'determined low pain' and'uncertainty 'is established. In the aspect of subjective pain expectation deviation evaluation, the AUC of a determined high pain scene and the AUC of an uncertain scene and the AUC of a determined low pain scene and the AUC of an uncertain scene are compared respectively, and the AUC difference between the two scenes is analyzed. In the electrophysiological data analysis, based on the decoding accuracy of the signal detection theory, the decoding accuracy of the situations of'uncertainty ', 'determined high pain' and'determined low pain 'is compared, the difference is quantified and calculated, and an objective pain expected deviation index is obtained. The subjective pain expected deviation is combined with the objective electrophysiological signal for the first time, the limitation that the traditional method only depends on subjective evaluation is overcome, subjective prejudice and individual difference interference are avoided, and the comprehensiveness, reliability and repeatability of pain expected deviation evaluation are improved.

The invention discloses an intelligent drug delivery pain management bracelet, and relates to the fields of wearable equipment, transdermal drug delivery and biological signal processing. The bracelet is integrated with a multi-mode biosensor which comprises a temperature sensor, a pressure sensor, a heart rate sensor, a blood oxygen sensor and a skin electric response sensor, and physiological data related to pain can be collected in real time. Through an embedded microcontroller and a machine learning algorithm, a pain intensity evaluation model is constructed, and real-time evaluation of the pain state of a patient is realized. Based on the pain intensity and the physiological state of a patient, a drug release strategy is dynamically adjusted through an intelligent algorithm, and drugs are released painlessly and accurately through a micro-needle transdermal drug delivery technology, so that the patient obtains the optimal treatment effect. And the functions of data storage, historical analysis and remote doctor monitoring can be expanded. The hand ring is convenient to operate, comfortable to use and suitable for various pain management scenes such as chronic pain and postoperative pain, and the personalized level of pain treatment and patient compliance are remarkably improved.

An implantable device for controllably delivering neural stimuli, comprising a stimulus source configured to provide neural stimuli to be delivered via one or more stimulus electrodes to a neural pathway of a patient; measurement circuitry configured to capture signal windows from signals sensed on the neural pathway by one or more measurement electrodes subsequent to respective neural stimuli; and a control unit. The control unit is configured to: control the stimulus source to provide a direct current (DC) pulse according to a stimulus intensity parameter; control the stimulus source to provide a titration pulse in order to evoke a neural response from the neural pathway; measure an intensity of an evoked neural response in a captured signal window subsequent to the titration pulse; and adjust, using a feedback controller, the stimulus intensity parameter so as to maintain the measured intensity at or near a target value.

The invention relates to a gouty arthritis patient pain management method and system based on an MDT management mode, and the method comprises the steps: automatically collecting the multivariate clinical data of a patient through integrating an existing information system of a hospital, carrying out the cleaning, standardization and structural processing through a special data preprocessing module, and carrying out the cleaning, standardization and structural processing. A machine learning prediction model trained by historical data is utilized to automatically generate a personalized MDT nursing plan, tasks are intelligently distributed to corresponding team members by means of a workflow engine, the execution condition is continuously monitored in the intervention process, and the nursing scheme is dynamically adjusted based on clinical data and prediction results which are periodically updated. And a complete'monitoring-prediction-intervention-reevaluation 'closed-loop management process is formed. The problems that a traditional MDT mode depends on manpower, efficiency is low, and decision-making lacks data support are effectively solved, and the accuracy, the collaboration and the continuity of pain management and wound surface nursing of the gouty calculus combined infection patient are improved.

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.

The invention discloses a postoperative pain degree sensor and an ovum extraction operation pain monitoring system, and belongs to the field of postoperative health monitoring and intelligent nursing equipment. The sensor comprises a flexible substrate, and a skin electric response sensing unit, a temperature sensing unit, a myoelectricity sensing unit, a micro-pressure sensing unit, a signal processing circuit and a wireless communication module which are integrated on the flexible substrate, the monitoring system comprises an edge processing module, a pain index evaluation module, an interaction terminal and a data recording module. The system evaluates the postoperative pain level based on the multi-channel physiological signals, real-time quantification and alarm prompt of the pain state are achieved, and the postoperative nursing response efficiency is improved. The scheme is suitable for assisting pain management after reproductive ovum extraction, and has the advantages of high sensitivity, low delay, structural flexibility and system closed loop.

The invention provides a child burn dressing change pain management method and system based on tactile and auditory stimulation. The method comprises the following steps: constructing a personalized pain management model, and collecting multi-modal data of a patient; and extracting fusion multi-modal data features, and generating tactile and auditory stimulation parameters by using a reinforcement learning model after obtaining fusion features. And the parameters are applied to touch and hearing devices, and personalized stimulation is synchronously applied during dressing change. Cooperative regulation and control of tactile and auditory stimulation are realized by means of multi-modal data fusion and reinforcement learning models, that is, time domain, emotion and electroencephalogram features are deeply fused to generate fusion features, and tactile and auditory parameter joint action vectors are generated through an Actor network based on the fusion features. Through multi-mode information interaction, the tactile stimulation inhibits wound pain signal conduction, the auditory stimulation adjusts amygdaloid nucleus emotional response, the analgesia efficiency is improved through cooperation of the tactile stimulation and the auditory stimulation, and the tolerance threshold value of children to single stimulation is reduced.

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.

The invention provides a nano-drug carrier and a drug release system, the nano-drug carrier comprises a drug loading core and a responsive shell arranged outside the drug loading core, and the drug loading core is loaded with a nano-drug; the surface of the responsive shell is modified with a targeting ligand, and the targeting ligand can specifically target pain-related cells or tissues. According to the nano-drug carrier and the drug release system provided by the invention, precise long-acting treatment of chronic pain is realized through combination of an environment-responsive carrier and an active targeting technology. The technology can significantly improve local accumulation of the medicine and reduce systemic toxicity, and is suitable for management of intractable pains such as neuropathic pains and osteoarthritis.

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 invention belongs to the technical field of traditional Chinese medicine surgery postoperative pain management, and particularly relates to a traditional Chinese medicine surgery postoperative pain management system and method. The postoperative pain risk level can be evaluated more accurately by collecting and analyzing the clinical data information of the patient, so that the most suitable pain management measure is quickly matched for the patient to be determined, the pain management is more personalized and accurate, the pain feedback data of the patient is monitored in real time, the intervention measure is adjusted according to the data, and the pain management accuracy is improved. The system can effectively reduce the pain feeling of a patient, improves the life quality of the patient, can help a doctor make a more reasonable judgment in the aspect of pain management through real-time monitoring and adjustment of intervention measures, reduces the waste of medical resources, and improves the medical efficiency.

The invention discloses a pain dynamic monitoring and early warning system based on a biosensor. The pain dynamic monitoring and early warning system comprises a sensor layer, a signal processing layer, a data transmission layer and a data analysis and early warning layer. The sensor layer collects multi-mode biological signals related to pain, and the signal processing layer carries out filtering, amplification and analog-to-digital conversion on the collected signals, eliminates noise and extracts effective information. The data transmission layer transmits processed data to a mobile device or a cloud platform by using a wireless communication technology, and the data analysis and early warning layer performs deep analysis on the data by using an improved convolutional neural network and a long-short-term memory network, establishes a pain model, evaluates the pain degree in real time, and sends out an early warning signal according to a dynamically set early warning threshold value, so as to realize early warning. And medical workers are reminded to take corresponding measures. According to the invention, objective, real-time and accurate pain monitoring and early warning can be realized, an intelligent solution is provided for pain management, and the system is especially suitable for post-operation pain monitoring, chronic pain management and other scenes.

A sustained release pharmaceutical formulation for pain management comprises an active ingredient, and a water-miscible and hygroscopic network-forming material, the active ingredient being dispersed within the water-miscible and hygroscopic network-forming material. The pharmaceutical may comprise a hydrophobic component, wherein the active ingredient dispersed within the water-miscible and hygroscopic network-forming material are together dispersed in hydrophobic component. Optionally, the pharmaceutical formulation may be combined with a reinforcing member for providing a system for sustained release of the pharmaceutical formulation for pain management.

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.

The invention relates to a substituted heterocyclic derivative, a preparation method thereof and application of a pharmaceutical composition containing the derivative or a deuterated derivative in medicine. Specifically, the invention relates to substituted heterocyclic derivatives as shown in general formulas (I), (I-A) and (I-B), a preparation method and medicinal salts thereof, and application of the substituted heterocyclic derivatives as voltage-gated channel Nav 1.8 antagonists in prevention and / or treatment of Nav 1.8 related diseases, especially in the field of pain. Wherein the definitions of substituent groups in the general formulas (I), (I-A) and (I-B) are the same as the definitions in the specification.

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 present disclosure provides pharmaceutical compositions comprising a cannabinoid, and dosage forms comprising same, for oral delivery, such as sublingual or buccal delivery. The compositions of the present disclosure are substantially homogeneous and remain stable and monophasic upon storage. Also provided are methods of using the compositions for pain management and to treat various diseases and conditions, including dementia, sleep disorders, movement disorders, mental disorders, and multiple sclerosis.

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.

At least one therapy (e.g., one or more of photobiomodulation (PBM), pharmaceutical nerve block, electrical nerve block, temperature-based nerve block, etc.) can be delivered to a target nerve by a surgical tool through a surgical opening (e.g., during surgery) to manage post-operative pain. The at least one therapy can reduce or eliminate the need for analgesics to reduce post-operative pain. The at least one therapy can include at least one dose of light for PBM to selectively silence conduction in small fibers within the target nerve that are known to cause post-operative pain for a time (e.g., extending after the surgery). Doses of the at least one therapy can be determined and provided by a controller in communication with the surgical tool.

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 Pain Reduction Tool is the only product of its kind that simplifies the pain management process by treating an entire extremity, via a vacuum chamber, under the supervision of a medical professional. Whether the agenda is to treat an arm or a leg suffering from pain and / or dysfunction, this device provides precision and efficiency, making it a versatile and essential tool that was solely designed by an Orthopedic Manual Physical Therapist. Embodiments of the disclosure are comprised of but not limited to durable PVC materials based on manufacturing and functionality needs. The disclosure offers controllable vacuum pressure selections and can be pre-programmed by a provider to support at-home, and independent use by a patient.