2561 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.

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.

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.

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 an intelligent rehabilitation treatment management system and method based on big data, and relates to the technical field of intelligent management. During operation of the system, rehabilitation-related data of an orthopedic patient is collected, real-time data is obtained through intelligent wearable equipment and a sensor, the pain and fatigue state of the patient is monitored, preprocessing is carried out, and the patient is subjected to rehabilitation treatment; the method comprises the following steps: analyzing collected data, monitoring the rehabilitation progress of a patient in real time, calculating to obtain a comprehensive rehabilitation progress evaluation index Etotal, comparing the comprehensive rehabilitation progress evaluation index Etotal with a preset state threshold value M and a second preset state threshold value N to generate a personalized rehabilitation scheme, and remotely monitoring rehabilitation data of the patient by a doctor so as to obtain a personalized rehabilitation scheme. According to the method, the rehabilitation plan and the training progress of a patient can be checked through a mobile phone APP, the rehabilitation plan, the training progress and real-time feedback are fed back, intelligent reminding is obtained, and through rehabilitation video or voice guidance, the patient can share experience, exchange rehabilitation experience and obtain psychological support and encouragement.

For foot pain sufferers, especially those with peripheral neuropathy, this invention introduces a breakthrough device. Its key feature is a novel self-aligning applicator that simultaneously treats the entire foot and eliminates adjustments and sizing. A large enough and powerful enough treatment zone is possible by utilizing a segmented solenoid and by placing the foot directly into its coherent core flux. Dosages to the entire foot of 2,500 ΣΔBT can be achieved within an hour. Extremely low voltages are used and very little heat is produced, making the device suitable for in-home use.

The invention discloses a patient pain prediction method and device based on wearable equipment. The method comprises the steps that historical physiological data and activity data of a patient are collected through the wearable equipment; acquiring a pain assessment report of the patient through an electronic medical record system, wherein the pain assessment report comprises a pain intensity score, the frequency and duration of pain attack and a treatment and intervention scheme; establishing a pain multi-modal evaluation model according to the physiological data and the pain evaluation report; wherein the pain multi-modal evaluation model comprises a learning identification module, a 1-all strategy module, a time sequence prediction module and a multi-modal fusion evaluation module; inputting the current physiological data into the pain multi-mode evaluation model, and predicting the pain intensity and the pain mode of the patient. Through the model comprising rule learning, the 1-all strategy, time sequence prediction and multi-mode fusion evaluation, the prediction precision of the pain intensity and the pain mode of the patient is improved, and the diagnosis and treatment effect of the patient, especially the chronic pain patient, can be remarkably improved.

The invention relates to the technical field of pain assessment, in particular to a paediatric pain assessment system which comprises a muscle group rhythm recognition module, a behavior linkage screening module, a periodic fluctuation extraction module, a behavior physiological difference module and a pain grading judgment module. According to the method, a linkage offset identification path is constructed through an angle relation between facial muscle groups and a starting time sequence, multi-muscle cooperative imbalance performance is identified, a region-level dynamic behavior judgment basis is formed, and a behavior cooperative judgment mechanism is established by utilizing response overlapping conditions of multiple behavior characteristics in the same time period; path signals which do not form effective cooperation are eliminated, the effectiveness of behavior characteristics is enhanced, a continuous trend structure of peak time in rhythm change is introduced, a periodic response sudden change monitoring channel is constructed, the recognition sensitivity of a short-time fluctuation concentration section is improved, and a response mismatch section is extracted based on a trigger time dislocation state between behavior and physiological response, so that the recognition sensitivity of the short-time fluctuation concentration section is improved. And a pain judgment key point is positioned in the time sequence overlapping region.

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.

An angled intraosseous access system includes a guide assembly including a guide block and a guide plate. The system can include a driver and a needle assembly rotatably coupled thereto. The guide assembly is configured to align the needle at a predetermined angle relative to the medullary cavity. Advantageously, the angled needle of the intraosseous access system can mitigate pain during infusion and mitigate backwalling.

The invention relates to the field of medical instruments, and discloses an anesthesia injury monitoring evaluation and management system for pain monitoring and rehabilitation acceleration. Comprising a sensor module configured to collect acupuncture point skin temperature data in a percutaneous acupuncture point electrical stimulation process, current parameter data output by an electrical stimulation device and skin impedance change data in real time; the control module is used for inputting the temperature data, the current parameter data and the skin impedance data which are acquired in real time into a multi-parameter risk assessment model, calculating a real-time risk value and generating a parameter change curve containing a time sequence; when the real-time risk value exceeds a preset safety threshold value, or any single parameter in the parameter change curve reaches a temperature change rate threshold value, an accumulated electrical stimulation energy threshold value or a skin impedance abnormal fluctuation threshold value, triggering a multi-stage early warning signal; according to the early warning level of the early warning module, the output power, the pulse frequency or the action time of the electrical stimulation device is automatically adjusted, or electrical stimulation is forcibly terminated when early warning is performed at the highest level.

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 provides a temporomandibular joint health state monitoring system and method based on joint vibration information, the system comprises a pasting touch type sound sensor, a microcontroller and an interactive display terminal, the pasting touch type sound sensor is used for pasting on a temporomandibular joint, obtaining a three-dimensional joint vibration analog signal, and sending the three-dimensional joint vibration analog signal to the microcontroller; the microcontroller carries out signal amplification, filtering processing and noise elimination, converts the signals into digital signals which can be identified and stored by the display terminal, and sends the digital signals to the interactive display terminal; the interactive display terminal is used for realizing real-time visual output of a three-dimensional joint vibration oscillogram and realizing an interaction function, and judging the health state of the temporomandibular joint based on an input maximum mandibular movement range, existence or absence of pain and joint noise parameters; on the basis of more comprehensive joint vibration information, real-time quantitative monitoring of the health state of the temporomandibular joint can be more accurately achieved, and a doctor can effectively and preliminarily screen the health state of the joint and a user can conduct self-monitoring at home conveniently.

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.

The invention relates to the technical field of biological adhesives, in particular to a pH response type chitosan medical biological adhesive and a preparation and application method thereof.The preparation method includes the steps that phenylboronic acid modified chitosan, polyphenol compounds, cross-linking agents with different functional groups and polyethylene glycol with different molecular weights are evenly mixed in a PBS buffer solution with the pH equal to 7-8; and adjusting the pH value of the system to 7.5-8 by using a KOH aqueous solution, and standing at room temperature until the pH-responsive chitosan medical biological adhesive is formed. The chitosan biological adhesive disclosed by the invention still keeps excellent adhesive power in a moist environment, is rapid in adhesion, is non-toxic and biodegradable in material, has good biocompatibility, and effectively avoids secondary stitch removal pain caused by non-degradable materials. Due to the charge characteristic of the chitosan, the chitosan has good affinity with human tissues, is suitable for adhesion of various tissues, and has wide clinical application potential.

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.

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.

The invention relates to the field of medical data analysis, in particular to an interventional therapy patient perioperative period pain data analysis method and system. An interventional therapy patient perioperative period pain data analysis system comprises a data acquisition module, a weight acquisition module, a pain prediction module and a pain monitoring module. According to the method, a standardized multi-source data coding system is established, pre-operative static characteristics and intra-operative dynamic time sequence signals are subjected to nonlinear weight calculation based on mutual information coefficients, complex threshold correlation and interaction effects among parameters are captured, and then a parallel architecture of an LSTM network and a static weighting layer is adopted; deep correlation information of a time sequence dependence mode generated by intraoperative operation and basic background parameters is extracted, the recognition ability of the model for high-risk patients is improved, and high-precision prediction of the pain intensity and type in the perioperative period is achieved.

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

The invention discloses an individualized pain prediction method and system based on a mixing effect. The method comprises the following steps: acquiring pain scores and corresponding central nervous system data when a plurality of healthy individuals receive pain stimulation; performing data processing on the obtained central nervous system data to obtain central nervous system physiological signals of pain stimulation received by corresponding individuals; combining the obtained physiological signals of the central nervous system and the corresponding pain scores to construct a mixed effect model; predicting the pain state of the individual by using the constructed mixed effect model; the system comprises a pain stimulation device, a central nervous detection system, a data acquisition module, a data analysis module, a prediction model construction module and a pain recognition module. The constructed mixed effect model gives consideration to the characteristics of an individualized model and a group model, not only can new individuals be migrated, but also individual differences are considered, the hierarchical characteristics of data are fully utilized, and the pain score prediction effectiveness can be effectively improved.

The invention discloses a cancer pain treatment pain assessment method and system based on intelligent data processing, and relates to the field of treatment assessment, and the method comprises the steps: 1, obtaining basic pathological data, medication records and real-time vital signs of a patient in real time through a hospital information system, extracting symptom features, and carrying out the calculation of the symptom features; identifying the self-contained pain text of the patient, extracting the pain event characteristics, and matching the symptom with the pain event characteristics to form a pain correlation factor matrix; 2, constructing a pain prediction model based on a time sequence convolutional network, and generating a multi-dimensional data acquisition trigger instruction; a mode of combining a time sequence convolutional network and a multi-head self-attention mechanism is adopted, a high-sensitivity acquisition window of a pain event is automatically identified, discontinuous event interference is inhibited through a time decay factor, and a high-weight time period is reserved by utilizing sparsification, so that a data acquisition time period with a high contribution value is automatically obtained; and the recognition precision of the key pain time period is remarkably 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.

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.