25 results about "Pain responses" patented technology

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 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.

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 relates to the technical field of signal analysis, in particular to an acute pain assessment method and system based on an EDA signal, and the method comprises the following steps: collecting a skin electrical activity EDA signal of a subject; calculating an individual time-varying sympathetic nerve activity TVSymp curve; the method comprises the following steps: constructing a priori knowledge base containing a standardized pain response sympathetic nerve SpainSymp template; inputting the EDA signal and the individual TVSymp curve into a PCVAE model, fusing features and decoupling the features into pain common features and individual specific features; carrying out pain intensity classification, and reconstructing and generating a standardized SpainSymp curve of which individual specific characteristics are removed; and outputting the pain intensity classification result and the dynamic change trend of the standardized SpainSymp curve in real time. By adopting the method, the pain-induced physiological reaction and individual baseline variation can be effectively decoupled and separated from the mixed EDA signal, the interference of individual difference is avoided, and the method has the characteristics of high accuracy and strong real-time performance.

The invention discloses a zebra fish pain response testing device for Chinese herbal medicine breeding, which comprises a plurality of branch water tanks, the plurality of branch water tanks are connected through a G selection pool to form a six-way water tank, and the plurality of branch water tanks are communicated with the G selection pool; the tail end of each branch water tank is an electric shock end for the zebra fish to receive electrical pain stimulation, the electric shock end is provided with an electrode plate for providing electrical stimulation for the zebra fish, an inlet of the electric shock end is provided with an infrared correlation trigger area for detecting whether the zebra fish passes through or not, and the electrode plate is connected with an electric shock module for providing voltage for the electrode plate. The technology has a multi-channel parallel test capability and an automatic electrical stimulation triggering function, can shorten an experimental period, reduces invalid stimulation, provides stable and reliable data support for pain mechanism research and drug screening, and improves research efficiency and scientificity.

This invention discloses a method and system for pain threshold determination based on multimodal automatic laser stimulation and animal behavior analysis. The method includes: using an RVC-Pose convolutional neural network model to detect key points on the animal's foot and outputting the foot's spatial coordinates in real time; positioning a laser spot on the foot and outputting continuously adjustable laser stimulation according to a preset gradient; extracting facial key points and micro-expression features using a Light-Face facial recognition algorithm, and / or reconstructing the animal's three-dimensional skeleton using a multi-view geometric reconstruction algorithm and extracting pain-related behavioral features; inputting the multimodal behavioral data into a multi-parameter fusion judgment model to automatically identify pain responses, adaptively adjusting the stimulation intensity under gradient stimulation mode, terminating stimulation and recording the pain threshold when an effective pain response is detected. This invention achieves fully automatic closed-loop control for pain threshold determination, solving the problems of inaccurate positioning, imprecise stimulation, and subjective judgment in existing technologies, significantly improving the objectivity and accuracy of pain assessment.

Provided is a virtual reality (VR) device, system and framework for generating VR continuum experience choreographed to a physical procedure incorporating at least one procedural action associated with a physical sensation and potentially inducing an anxiety or pain response. The VR continuum experience can modify perceptions of pain and anxiety associated with the procedure. The virtual reality device is configured to allow device control via a device user interface accessible to an operator other than the wearer (i.e. a medical practitioner), to allow the operator to control device calibration and virtual reality (VR) experience start while the apparatus is worn by the wearer, and to provide one or more VR experiences each associated with a physical procedure.

Provided is a virtual reality (VR) device, system and framework for generating VR continuum experience choreographed to a physical procedure incorporating at least one procedural action associated with a physical sensation and potentially inducing an anxiety or pain response. The VR continuum experience can modify perceptions of pain and anxiety associated with the procedure. The virtual reality device is configured to allow device control via a device user interface accessible to an operator other than the wearer (i.e. a medical practitioner), to allow the operator to control device calibration and virtual reality (VR) experience start while the apparatus is worn by the wearer, and to provide one or more VR experiences each associated with a physical procedure.

A method for producing a consumable alcoholic product comprises using one or more enzymes to reduce or eliminate an oral pain response that would otherwise be experienced upon consumption of the product. The method comprises combining at least one oxidase with a fermentate and, optionally, distilling the fermentate to produce a consumable alcoholic product, such as distilled alcohol. The method comprises combining at least one oxidase, including an aldehyde dehydrogenase.

The invention provides a method for obtaining a measure of user pain at home. The proposed concept is to measure the pain by utilizing sensor data obtained from force and / or motion sensors integrated in a personal care device, e.g. an oral care device, over the course of each of one or more personal care sessions of the user. Patterns in the sensor data, or changes in said patterns, can be used to infer pain information, such as an overall pain level, pain reaction events at certain points during the personal care session and / or at certain locations, or increased sensitivity at certain body areas. This provides a more objective and reliable estimation and monitoring of user oral pain that relying on patient (subjective) reporting of pain.

The application discloses a rehabilitation nursing intelligent monitoring method and system based on image acquisition, and belongs to the technical field of rehabilitation nursing intelligent monitoring. The method comprises the following steps: collecting image data of a patient's limbs and synchronous pain response values to generate a monitoring model; processing current image data based on the monitoring model to evaluate and output a pain risk value; analyzing fluctuation trends 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 the recovery state of the limbs, and outputting recovery feedback information to adjust the nursing scheme; and through the establishment of a quantitative correlation between visual features and pain response, the application realizes continuous evaluation of pain risk, generates a nursing scheme based on dynamic fluctuation trend analysis, forms a closed-loop management process through recovery feedback information, and improves the efficiency and safety of rehabilitation nursing.

The present application discloses a painless nerve growth factor-like peptide and its application. The amino acid sequence of the painless nerve growth factor-like peptide is shown in SEQ ID NO. 1-7. The painless nerve growth factor-like peptide has good biological activity, strong affinity for Trk A, good intracellular penetration, and dose-dependent cell growth promotion. In addition, the dosage for promoting cell growth is minimal. It does not cause pain hypersensitivity in animals and can overcome the pain reaction caused by NGF administration.

The application discloses a painless rib taking system and method based on a multi-layer separation and precise analgesic path, and belongs to the technical field of computer-aided path planning. A skin layering collection module acquires skin multi-layer structure data of a target region, and a pain sensitivity analysis module extracts pain response parameters of each skin layer; a multi-layer separation trajectory generation module generates a separation trajectory passing through each skin layer according to the skin layering data, and a precise analgesic path planning module generates an analgesic path with layer-specific release depth intervals according to the pain response parameters; a path adjustment decision module detects spatial conflicts between the separation trajectory and the analgesic path, and selects to adjust the interlayer transition point coordinates of the separation trajectory or the depth intervals of the analgesic release sites, so that the adjusted separation trajectory maintains a safe distance from all analgesic release sites. Through the layering perception and collaborative adjustment mechanism, the spatial coordination of the separation trajectory and the analgesic path is realized, and a reliable path control basis is provided for painless operation.

The invention belongs to the technical field of medical apparatuses and instruments, and particularly relates to a needle inserting auxiliary device suitable for arteriovenous puncture. The acupuncture needle device suitable for arteriovenous puncture comprises a puncture needle, a mounting tube body and a pop-up assembly, the puncture needle comprises a needle body, a sleeve, a fixed needle wing and a connecting tube; the mounting pipe body comprises a containing cylinder, a positioning part and a rear cover body; the pop-up assembly comprises a movable push rod, a limiting sleeve and an elastic limiting piece, and the puncture needle is detachably arranged at the end of the movable push rod. When the puncture needle is used, a medical worker obtains the puncture depth between the puncture needle and the central position of the relative vein or artery according to the color ultrasound conditions of the vein or artery of the puncture part of different patients, and then adjusts the position of the limiting sleeve on the movable push rod, so that the popping distance of the movable push rod can exactly pierce the relative vein or artery; the puncture needle can be quickly and accurately inserted into the relative vein or artery, pain response of a patient can be reduced, and the puncture success rate of medical staff is increased.

The invention discloses a multi-degree-of-freedom intelligent transfer device for patient transfer and a cooperative control method, and belongs to the technical field of medical instruments and rehabilitation robots. The device comprises a movable chassis, a lifting stand column, a multi-degree-of-freedom mechanical arm system, a multi-mode sensing system and a controller. The mechanical arm system comprises at least five six-degree-of-freedom mechanical arms, and bionic holding supporting plates are arranged at the tail ends of the six-degree-of-freedom mechanical arms. The multi-mode sensing system comprises a surface electromyographic electrode used for collecting electromyographic signals of a patient, a visual unit, a force sense unit and the like. The method comprises the steps of manual pre-fixing, initial recognition, self-adaptive holding, collaborative transfer, intelligent placement and physiological signal closed-loop feedback throughout the whole process, muscle tension and pain response of a patient are sensed in real time through electromyographic signals, and the motion strategy of the mechanical arm is dynamically adjusted accordingly. Meanwhile, the posture of the patient is kept absolutely stable in the moving process through a motion compensation algorithm, safe, comfortable and automatic patient transferring is achieved, and the nursing burden and risk are greatly reduced.

The electroencephalogram-based cross-subject pain classification method solves the problem of how to effectively improve the reliability of cross-subject pain classification and reduce the pressure of clinical data collection, and belongs to the field of electroencephalogram data evaluation. The present application comprises the following steps: identifying the resting EEG features highly correlated with the pain sensitivity of the target subject and the historical subjects in the historical data set, and screening out the historical subjects in the historical data set having similar pain response as the target subject to form a source subject set of the target subject; constructing pseudo-labels by using the source subject set, and optimizing the source subject set by considering cognitive and other experimental dynamic factors to obtain a source domain; performing adaptive transfer learning by using the source domain and the target domain, weighting and fusing the labels of the target domain obtained after learning all the source domains to obtain the predicted classification result of the target subject, and completing the classification.

The utility model belongs to but not limited to the technical field of animal experiment equipment, and discloses a three-degree-of-freedom mechanical arm automatic mouse von Frey pain detector which comprises an integrated experiment box, and a metal grid plate is arranged in the integrated experiment box and divides the integrated experiment box into an upper layer and a lower layer; the upper layer is a light-transmitting transparent experiment box, is separated by a hard opaque partition plate, is used for placing an experiment mouse and is provided with a visible light camera, and the lower layer is a light-proof camera obscura, and is provided with a three-degree-of-freedom mechanical arm and an infrared camera; a von Frey mechanical stimulation needle is arranged on the three-degree-of-freedom mechanical arm, and a high-precision pressure sensor is arranged at the von Frey mechanical stimulation needle. The utility model provides experimental equipment with high precision and high automation level, and by accurately controlling the mechanical pain stimulation to the experimental mouse, the accurate quantitative determination of the pain response threshold of the mouse or the rat is realized, so that objective, accurate and repeatable experimental data is provided.

The present invention relates to a virtual reality-based pain diagnosis system for neuropathic pain, and the purpose thereof is to accurately diagnose intractable neuropathic pain in which even if there is no direct skin contact or there is extremely slight skin contact, it is possible to feel severe pain or to cause a reflex pain response due to a psychological shadow. Namely, the present invention configures a pain diagnosis system for neuropathic pain on the basis of virtual reality, in which virtual pain is applied to a patient in a non-contact manner in a fully immersive state on the basis of augmented reality, and the response to the stimulation of the virtual pain is measured. Therefore, the present invention has an effect of accurately diagnosing intractable neuropathic pain in which a patient can feel severe pain even without direct skin contact or even with extremely slight skin contact, or a reflex pain reaction due to a psychological shadow occurs.

The present application relates to the field of medicinal chemistry and pharmacotherapy, in particular to a phenylpiperazine compound or a pharmaceutically acceptable salt thereof, a preparation method and use thereof in the preparation of analgesic drugs or drugs for treating pain, wherein the phenylpiperazine compound or the pharmaceutically acceptable salt thereof has the following structure: the phenylpiperazine compound has obvious inhibitory activity on TRPV1, can obviously inhibit the pain response, and has no side effect of body temperature rise.

The application relates to the technical field of signal analysis, in particular to an acute pain evaluation method and system based on EDA signals, which comprises the following steps: collecting electrodermal activity (EDA) signals of a subject; calculating an individual time-varying sympathetic nerve activity (TVSymp) curve; constructing a priori knowledge base containing a standardized pain response sympathetic nerve (SPainSymp) template; inputting the EDA signals and the individual TVSymp curve into a PCVAE model, fusing features and decoupling into pain common features and individual specific features; performing pain intensity classification, and reconstructing a standardized SPainSymp curve by removing individual specific features; and outputting the pain intensity classification result and the dynamic change trend of the standardized SPainSymp curve in real time. The method can effectively decouple and separate the physiological response induced by pain from the individual baseline variation from the mixed EDA signals, and is not interfered by individual differences, and has the characteristics of high accuracy and strong real-time performance.

The application discloses application of high gold line orchid extract in preparation of medicines or health products for treating or relieving pain, wherein the high gold line orchid extract is at least one of high gold line orchid alcohol extract, high gold line orchid polysaccharide or monomer compound of macfarlanea glycoside. Experimental results show that the high gold line orchid alcohol extract, the high gold line orchid polysaccharide and the monomer compound of macfarlanea glycoside all have good in-vivo analgesic activity, can significantly inhibit acute or chronic pain caused by chemical stimulation and thermal stimulation, can effectively reduce the writhing frequency of mice induced by intraperitoneal injection of acetic acid, prolong the pain reaction time of mice, and improve the pain threshold of mice in a hot tail-flick test. The above results show that the high gold line orchid extract can be used for clinical drug treatment of various pains, especially inflammatory pain, or be prepared into health products for relieving pain.

Methods of producing a consumable alcoholic product involve utilizing one or more enzymes to reduce or remove an oral pain response otherwise experienced upon consumption of the product. Methods involve admixing at least one oxidase with a fermentate and optionally distilling the fermentate to produce a consumable alcoholic product, such as a distilled alcohol. Methods involve admixing at least one oxidase comprising an aldehyde dehydrogenase.

The invention provides an application of a tobacco bean extract in preparation of an anti-inflammatory and analgesic external medicine, and in a chronic / acute inflammation model, the tobacco bean extract can effectively relieve mouse atopic dermatitis / ear inflammation symptoms induced by dinitrochlorobenzene (DNCB) / xylene; in the aspect of analgesic effect, the tobacco bean extract can relieve mouse pain response caused by hot plate stimulation and prolong the pain threshold latency period; mechanism research shows that the tobacco bean extract can significantly inhibit expression of various inflammation-related cytokines; therefore, the tobacco bean extract can obviously improve various acute and chronic inflammations, can relieve nerves, and has the potential of treating inflammations and inflammatory pain. Besides, the safety evaluation result shows that no obvious toxic reaction is caused in the experimental dose range, the toxicity burden caused by the inducer can be reduced in a disease model, and the safety and the application prospect are good.

The invention discloses a burn assessment method and system based on image recognition, relates to the technical field of burn assessment, and realizes automatic calculation and grading judgment of pain grades by constructing a fusion index and a joint pain response index psi and mapping the fusion index and the joint pain response index psi into a standardized scoring index Ps. The scoring mechanism not only has standard uniformity and cross-patient comparison ability, but also has self-learning and error suppression ability through a subsequent correction mechanism, so that the system is more stable and credible. According to the method, a dynamic backtracking analysis mechanism of the psychological state is specially set, abnormal scores caused by psychological fluctuations such as anxiety and nervous tension can be recognized, and the score result is corrected through an emotion regulation function. The mechanism solves the problem that an existing AI evaluation system cannot distinguish'real pain 'and'emotional response', effectively prevents excessive response or misjudgment intervention, and improves the clinical applicability of an evaluation result.

The invention relates to the technical field of oral cavity laser therapeutic instruments, and particularly discloses a medical oral ulcer treatment device which comprises an oral cavity laser therapeutic instrument body. The oral cavity laser therapeutic instrument comprises an oral cavity laser therapeutic instrument body and further comprises limb monitoring mechanisms, the limb monitoring mechanisms are arranged on the two sides of the oral cavity laser therapeutic instrument body, and the limb monitoring mechanisms are used for being bound to the hands of a patient and monitoring the limb shaking strength when the patient pains. Through cooperation of the vibration sensor and the noise sensor, when oral ulcer treatment is carried out on a patient, shaking of limbs of the patient caused by pain and mouth sound generated by monitoring the pain are carried out in a matched mode, if pain response signals generated when the patient is treated can be monitored in a double-matched mode, the pain response signals can be fed back to the intensity adjusting mechanism, and the patient can be treated more accurately. The method is used for self-adaptive adjustment of laser energy intensity in real time, so that stimulation to treatment of a patient can be effectively reduced.