1476 results about "Aching pain" patented technology

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

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.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

The invention relates to a pain assessment method and system based on a visual large language model. The method comprises the following steps: S100, synchronously collecting video data of the face and limbs of a target object; s200, performing space-time sampling processing on the video data to obtain image data; s300, generating a multi-step guide instruction sequence based on a preset pain assessment dimension; s400, inputting the image data and the instruction sequence into a visual big language model, and gradually reasoning the visual big language model according to a preset pain assessment dimension; and S500, the visual big language model sequentially generates a scoring basis, a scoring result and a comprehensive pain grade of each dimension according to the reasoning result of each dimension. Through the arrangement, the technical problem of objective assessment of the pain degree in the medical operation process is solved.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

An apparatus includes a pair of engaging members to engage a first and second portion of a body toward an upper and lower portion of a neck, and a plurality of assemblies connecting the first engaging member and the second engaging member to maintain a distance between bones of a body portion comprising an area of the neck, wherein the body portion resides between the first and second portions, and wherein each assembly comprises a plurality of rods coupling the first engaging member and the second engaging member, and a coupling tube with a first rod of the plurality of rods secured to a proximal end and a second rod of the plurality of rods secured to a distal end, wherein rotation of the coupling tube adjusts a gap between the first and second rods in the coupling tube to control the distance between the bones of the body portion.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

Systems, devices, and methods for neurostimulation using a combination of implantable and external devices to treat pain are disclosed.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

The invention relates to the technical field of medical monitoring, and particularly discloses a pain degree assessment method and system based on multi-modal sensing and wearable equipment. The method comprises the following steps: acquiring physiological signals and limb movement data of a patient to form a multi-dimensional pain feature vector; a dynamic weight distribution algorithm is adopted, and physiological and limb action modal weight coefficients are adjusted in real time based on each modal data prediction confidence coefficient; a multi-modal classifier is utilized, features are fused through a cross-modal attention mechanism, and 0-10 levels of pain quantized values are output; and intelligent regulation and control of analgesia parameters are realized. The system comprises a multi-modal sensing module, a feature extraction module, a dynamic weight distribution module, a multi-modal classification module and an analgesia equipment control module. The wearable device integrates a sensor and a processing unit to realize data acquisition and analysis. According to the invention, the dynamic, precise and intelligent pain assessment is realized, the technical problems of strong subjectivity and poor real-time performance of the traditional assessment method are solved, and reliable technical support is provided for clinical analgesia management.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

The invention provides a pain assessment method, and the method comprises the steps: obtaining target myoelectricity data and target scale assessment data of a target object, the target myoelectricity data being myoelectricity data obtained by carrying out the myoelectricity signal sampling of a specified sampling part under a specified action, the target scale evaluation data is pain evaluation data obtained by performing pain grade evaluation on the target object according to a preset pain scale; and based on the target myoelectricity data, correcting the target scale evaluation data to obtain a final pain evaluation result. According to the method, the myoelectricity signal sampling is performed on the specified sampling part under the specified action, the scale evaluation data obtained by adopting the pain scale are corrected by utilizing the myoelectricity data obtained by sampling, and the myoelectricity data reflect the real pain response of the target object, so that the corrected pain evaluation result is more accurate, and the accuracy of the pain evaluation result is improved. And the accuracy of pain assessment is improved.

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 is suitable for the field of pain assessment, and particularly provides a pain threshold estimation method and system based on multi-modal data fusion, and the method comprises the steps: constructing a cross-modal weak feature enhancement fusion network, carrying out the processing of collected multi-modal data, and extracting physiological weak features and behavior weak features; introducing a time-varying attention Transform model, dynamically allocating weights for the processed physiological weak features, behavior weak features and environment auxiliary data by using a pain dynamic tag, and outputting cross-modal fusion features; constructing a double-branch pain threshold estimation model, wherein the model comprises a supervised estimation branch and an unsupervised estimation branch; and introducing a pain feature element library, carrying out online calibration on parameters of the double-branch model in combination with a meta learning algorithm, and outputting a real-time pain threshold value and a short-term pain threshold value change trend of the target object. According to the embodiment of the invention, the clinical operability of pain assessment is remarkably improved, and ineffective intervention caused by inaccurate assessment is reduced.

The invention relates to the technical field of digital health, in particular to a personalized rehabilitation exercise method for rheumatoid arthritis patients based on a BCW theory, which comprises the following steps: acquiring joint angle change and calculating a pain delay response coefficient, detecting fluctuation of supporting force and stabilizing force to obtain a joint load tolerance value, analyzing respiratory coordination to generate a respiratory coordination index, and performing rehabilitation training on the respiratory coordination index. The method comprises the steps that a joint angle sensor and pain intensity data are analyzed, a BCW capacity factor weight value is generated in a weighted mode, a fuzzy control algorithm is input to conduct hierarchical mapping adjustment on action amplitude frequency and rest intervals, and exercise adaptability feedback data are generated through monitoring completion degree and pain feedback. The exercise intensity is dynamically adjusted in real time through a data model, a personalized rehabilitation scheme is automatically optimized, the problems that subjective feedback is relied on, and physiological changes cannot be responded in time are solved, more accurate exercise amount adjustment is provided, the situation that the joint burden is increased due to improper exercise intensity is avoided, and the rehabilitation process is effectively promoted.

The invention provides a follow-up visit consultation system for chronic pain patients, and relates to the technical field of intelligent medical treatment, and the system comprises a data collection unit which is used for obtaining subjective pain description data, real-time physiological monitoring data and historical diagnosis and treatment data of a patient; the prediction analysis unit is used for performing pain deterioration risk prediction based on the multi-source data and an artificial intelligence model, and outputting a prediction result containing a risk level and individualized pathological features; and the dynamic intervention unit is used for generating dynamic treatment suggestions according to the prediction result, pushing the dynamic treatment suggestions to the doctor and the patient, and receiving execution feedback data of the patient so as to perform closed-loop optimization on the treatment strategy. According to the technical scheme, the subjective pain description, the real-time physiological monitoring data and the historical diagnosis and treatment records of the patient are obtained at the same time, the integrity of the data is improved through the comprehensive collection mode of multi-source data, the accuracy and timeliness of information are ensured, and the problems of subjective deviation and inaccuracy caused by the fact that follow-up visit depends on memory of the patient are solved.

The invention discloses an intelligent control method for an analgesia pump based on deep learning. The intelligent control method comprises the following steps: S1, acquiring multi-modal original signals of a postoperative patient and synchronously normalizing the multi-modal original signals; s2, removing artifacts and noise in the synchronous data, and performing interpolation compensation on missing data; s3, carrying out modal reliability weight distribution on the sensing sequence based on a Hemma optimization algorithm; s4, inputting the node set into a PainNet relation statistical network to generate a dynamic graph topological structure; s5, predicting the pain score of the patient in the future, and generating a low-dose high-frequency micro-pulse administration instruction; s6, according to the circadian rhythm of the patient, dynamically adjusting the edge weight and the administration interval of the PainNet network; and S7, when the pain score fluctuation exceeds the limit, triggering an emergency mode, quickly converging to the most conservative parameter combination, and outputting a safety locking instruction. According to the invention, the control accuracy and safety of postoperative analgesia are improved.

The invention relates to a method and system for predicting chronic postoperative pain of a patient, and belongs to the technical field of medicines.The method comprises the steps that a basic data set and a time sequence physiological data set of the patient are obtained; performing data processing on the time sequence physiological data set to obtain time sequence features, and performing feature fusion on the time sequence features and static clinical features in the basic data set to obtain a fusion feature vector; and inputting the fusion feature vector into a pre-trained machine learning model to obtain a prediction result of the chronic postoperative pain of the patient. According to the method, more accurate, earlier and more personalized risk prediction of chronic postoperative pain is realized by fusing static clinical features and time sequence features and utilizing a powerful machine learning model.

The invention discloses a sedation depth monitoring method based on a graph convolutional neural network, and relates to the technical field of sedation monitoring, and the method comprises the steps: collecting a multi-source biomarker of a patient, carrying out the filtering and artifact removal of an electroencephalogram signal, and generating preprocessed electroencephalogram data; performing attention pooling processing on the node-level feature tensor, calculating a sedation depth index, and generating a pain interference factor according to a connection edge weight of the dynamic function connection graph; and when the pain interference factor exceeds a preset pain threshold value and the sedation depth index meets a preset condition, generating a sedation optimization instruction, and when the virtual pharmacokinetic node displays metabolic abnormality, generating an infusion rate adjustment instruction. According to the method, through a dynamic function connection diagram construction link, the time-varying intensity of the skin conductance reaction signal and the rugosa electromyographic signal is used as a dynamic weight, and accurate quantification of the pain-sedation coupling effect is achieved.

The invention discloses a rehabilitation nursing intelligent monitoring method and system based on image acquisition, and belongs to the technical field of rehabilitation nursing intelligent monitoring, and the method comprises the steps: collecting limb image data of a patient and a synchronous pain response value to generate a monitoring model; processing the current image data based on a monitoring model to evaluate and output a pain risk value; analyzing the fluctuation trend of a pain response curve formed based on the pain risk value to generate and output a nursing scheme; collecting subsequent image data in the process of executing the nursing scheme, monitoring a limb recovery state and outputting recovery feedback information to adjust the nursing scheme; according to the method, continuous assessment of pain risks is achieved by establishing quantitative association of visual features and pain responses, the nursing scheme is generated based on dynamic fluctuation trend analysis, a closed-loop management process is formed by recovering feedback information, and the efficiency and safety of rehabilitation nursing are improved.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

An exercise device is disclosed to enable a user to stretch the lower limbs, lower back, hamstrings, gluteal tendons and gluteal fasciae for pain relief. The stretching device includes a padded body rest having back and leg rest sections hingedly connected together and rotatable from an unfolded configuration to a compact folded configuration lying face-to-face. First and second pairs of leg lifting straps are connected to one another by respective cam jam buckles so as to extend between the body rest and cuffs that surround the user's ankles and feet. A pulling force applied to each leg lifting strap causes the user's legs to be raised off the body rest from a horizontal flat position to a vertical upstanding position. Force monitors are located between the pairs of the leg lifting straps and the user's legs to provide a visual indication of the pulling force.

The present invention relates to safety shoes worn on the feet of a wearer. In particular, the present invention relates to safety shoes in which space for the little toe to move is secured through the inner space of a protrusion portion, and which can thus prevent foot pain and injury and increase the comfort of a wearer.

The application discloses a kind of intelligent service systems of advanced cancer pain pain, including: analgesic device, massage piece, driving source and ice piece, ice piece is located inside the mounting seat side surface, ice piece is used to contact cooling massage ball;Push module is used to daily push the predetermined check quantization table to patient, check quantization table at least includes one or more of the following each item: diet condition, sleep condition, body pain condition, self cognitive ability and mental state;Evaluation module, evaluation module obtains patient state evaluation result according to the data of patient to check quantization table, and according to evaluation result, push management scheme to patient and adjust analgesic device analgesic scheme, the living condition of patient every day is obtained regularly by push module, and the individualized, centralized pain intervention scheme is formed by evaluation module, one aspect realizes the timely evaluation of patient life quality, while quantized mode is convenient for others to view specific change situation, to improve specific condition of patient in a targeted manner.

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.

Disclosed herein are compositions comprising an NSAID such as meloxicam and / or rizatriptan in combination with a cyclodextrin and / or a carbonate or a bicarbonate. These compositions may be orally administered, for example, to improve the bioavailability or pharmacokinetics of the NSAID for the treatment of pain such as migraine, arthritis, and other conditions. Also disclosed herein are methods of treating pain, such as migraine, comprising administering meloxicam and rizatriptan to a human being suffering from pain, such as migraine. For migraine, these methods may be particularly useful when the meloxicam and rizatriptan are administered while the human being is suffering from an acute attack of migraine pain or migraine aura. In some embodiments, the combination of meloxicam and rizatriptan may be administered in a manner that results in a Tmax of meloxicam of 3 hours or less.

The invention discloses a pet personalized physical rehabilitation method and system based on multi-modal data fusion. The method comprises the following steps: establishing a digital file of a target pet; according to the method, multi-modal data such as behavior characteristics and physiological indexes are fused, and the space-time correlation is mined by using a multi-head self-attention mechanism, so that the limitation of a single data source can be overcome, the pain level and the joint limitation degree of the pet can be accurately identified, and an objective basis is provided for scheme formulation; based on medical history and rehabilitation sensitivity base lines in a pet digital file, in combination with real-time environment and expression recognition, rehabilitation strength, frequency and aromatic therapy formula are dynamically adjusted, accurate rehabilitation of'one pet and one strategy 'is achieved, and secondary damage or stress to pets caused by a standardized process is avoided; and in combination with expert-algorithm closed-loop verification and concept drift detection, the system can automatically adapt to new cases and environment changes, and the accuracy of rehabilitation effect evaluation and the scientificity of scheme recommendation are continuously improved.

The invention relates to the technical field of medical technology, in particular to a method for evaluating and adjusting pain in maternal and child anesthesia, which comprises the following steps of: constructing a physiological signal acquisition subsystem, a pretreatment subsystem, a self-adaptive evaluation subsystem and a closed-loop analgesia control subsystem to realize continuous, objective and specific evaluation of pain states of maternal and child patients under anesthesia; and the analgesic medicine is accurately and automatically adjusted. The continuous, objective and specific pain assessment can be realized, the analgesic medicine can be accurately and automatically adjusted, and the safety and comfort of maternal and child anesthesia are improved.