63 results about "Pain level" patented technology

Apparatus for relating pain and activity experienced by a patient comprises: pain transducing means for allowing a patient to select any one pain level from a predetermined number of pain levels and for producing a pain level signal indicative of the selected level; activity transducing means responsive to the pain level signal for measuring a level of a parameter of a physical activity of the patient near the time corresponding to the selection of the pain level and for producing an activity parameter level signal indicative of the measured level of the parameter; and relating means responsive to the pain level signal and the activity parameter level signal for characterizing the activity of the patient corresponding to the selected level of pain to be one activity level of a predetermined number of predefined activity levels and for producing a signal indicative of the characterized level of activity and the corresponding pain level.

The invention relates to monitoring of pain-related responses in a patient in order to detect the level of pain experienced by the patient. At least one first measurement signal is acquired from the patient and at least one of the signals is transformed into a normalized signal having a predetermined value range. Based on the at least one normalized signal obtained in this way, a threshold condition is set and a rate at which at least one second measurement signal fulfills the threshold condition is monitored, wherein each of the at least one second measurement signal is derivable from a corresponding normalized signal and indicative of pain-related activity in the patient. The level of pain experienced by the patient depends on the rate monitored.

The present invention includes systems and methods for medical fluid delivery. Such system may comprise a fluid flow path for communication between a fluid source and a patient. A flow valve is operatively associated with the path and movable between a first position, which allows fluid flow through the path, and a second position, which limits fluid flow through the path. A control module is operatively associated with the valve to move the valve between the first and second positions in response to a measured actual fluid flow rate in the path. Such method may comprise flowing a fluid through a fluid flow path between a portable fluid source and a patient; determining an actual fluid flow rate through the path; and changing the actual fluid flow rate in response to a difference between the actual fluid flow rate and a desired fluid flow rate. Such method may further include a plurality of settings for a desired flow rate according to a sensed pain level of the patient.

The invention discloses a neonatal pain expression classification method based on a CNN (convolutional neural network). The method comprises the following steps: firstly, neonatal pain expression images are acquired, the images are classified by professional medical staff according to calm, cry, slight pain and intense pain level by level, and a neonatal pain expression image library is established; secondly, the CNN containing one data layer, three convolutional layers, two full connection layers and one classification layer is constructed; then samples in the neonatal pain expression image library are taken as data input of the CNN, iterative training is performed on the CNN with a back propagation algorithm, and optimizing training is performed on global parameters, so that a network output loss function value is reduced and converged; finally, neonatal pain expression test samples are input and then recognized and classified with the CNN, expression recognition of neonatal infants in calm, cry, slight pain and intense pain states is realized, and one novel method and way is provided for evaluating neonatal pain degree.

An accident management service is presented. The service collects accident-related information for an accident person. Based on the collected information, the service generates a settlement value and supporting settlement forms and/or letters. In one embodiment, the service generates the settlement value by determining a settlement rating. Medical costs in the accident-related information are then multiplied by the settlement rating and non-medical damages are added to the product of the multiplication to generate the settlement value. In an alternative embodiment, a baseline value is determined for the accident person's medical conditions identified in the accident-related information. For each day of the medical conditions, the baseline value is added to a current total. Additionally, the current total is adjusted according to whether the pain for that day is above or below an average pain level.

Briefly, a system and method include the use of a patient operated pain recording device and a reception port to analyze current medical condition data, for example an experienced pain level. Current medical conditions can be analyzed with respect to previously stored medical condition data, other patients medical condition data, current actively, and the like.

The invention discloses a pain evaluation system based on magnetic resonance resting state functional imaging, and the pain evaluation system comprises a pain characteristic specimen library for storing history resting state functional imaging attributes of specimens of patients with different pain levels and pain causes and control normal persons; a functional imaging unit for obtaining resting state functional imaging data from brains of new individual patients suffering from chronic pain and transmitting to an attribute extraction unit; the attribute extraction unit for extracting resting state functional image attributes of new individuals from the resting state functional imaging data; and a pain evaluation unit for comparing the resting state functional image attributes of new individuals and the history resting state functional image attributes in the pain characteristic specimen library, and evaluating pain levels and/or pain causes of new individuals. Hereby, the pain evaluation system disclosed by the invention can objectively and accurately evaluate pain levels and/or pain causes through objective image data of human brains.

The invention discloses a flexible microneedle drug delivery patch containing a separable drug capsule suitable for transdermal delivery of multiple drugs. The microneedle drug delivery patch has the advantages that pain level is low, infection risk is low and application is convenient. The microneedle drug delivery patch comprises the separable and replaceable drug capsule, a drug carrying end integrating a microneedle array with a microfluid flow passage network, a drug delivering end integrating the microneedle array with the microfluid flow passage network, and a sticky patch body allowing the microneedle drug delivery patch to be attached to skin, wherein the sticky patch body is made from a flexible polymer and is high in curvature and skin bonding property. In use, the drug delivery patch is attached to a joint of a user, the drug carrying end and the drug capsule of the drug delivery patch deform under the squeezing and stretching actions of the bent joint on the flexible microneedle drug delivery patch, so that a syringe needle at the drug carrying end pierces into the drug capsule and drugs are distributed to the drug delivering end through the microfluid flow passage network, and then drugs flow into the body through a passage formed on skin by a microneedle at the drug delivering end to finish drug delivery.

The present invention relates to troches, patches, gels, or viscous liquids for topical treatment or prevention of mucosal surfaces containing as an active ingredient molecules of cobalamin for the treatment of inflammatory, ulcerative and painful conditions of mucosal surfaces such as mucositis, stomatitis, vestibulitis, aphthous ulcerations, and Behcet's syndrome. For reducing the incidence, duration, and pain levels of recurrent aphthous ulcers, bioactive cobalamin may delivered with adhering discs that stick to a tooth.

The invention provides a pain evaluation method, system, equipment and a storage medium. The method comprises the steps: acquiring physical sign parameters, face expression videos and limb action videos of users corresponding to different pain states; carrying out training based on a depth neural network by using the face expression videos and the limb action videos, so as to obtain a first pain identification model and a second pain identification model; calculating a physiological pain score by using physical sign parameters of a user to be tested, and correspondingly inputting a face expression video and limb actions of the user to be tested to the first pain identification model and the second pain identification model, so as to obtain a face pain score and a limb pain score; and calculating a weight sum of various pain scores in accordance with a preset weight coefficient, thereby obtaining an evaluation pain value of the user to be tested. The method is applicable to new-born infants or people without language performance, errors caused by artificial subjective pain degree judgment can be avoided, the efficiency and accuracy of pain evaluation are improved, and the method has the advantages of wide applicable range, high sensitivity and simplicity in evaluation.

The invention discloses a bedridden patient pain symptom real-time monitoring method and device based on expression recognition. The method comprises the following steps: 1, establishing a pain expression training data set; 2, establishing a neural network model for analyzing pain expressions, and performing training to obtain a pain grading model; and 3, acquiring three real-time images of a human face at a same moment, preprocessing the images, and inputting the preprocessed images into the neural network model to obtain probabilities corresponding to A pain levels, and selecting a pain level corresponding to the maximum probability as the pain level of the detection images at the current moment, and performing alarm processing on the pain level exceeding a threshold so as to realize real-time monitoring. According to the invention, pain can be accurately evaluated in real time and automatically, so that effective monitoring of a bedridden patient is realized.

The invention provides a pain assessment method combining heart rate variation features and facial expression features. According to the invention, the expression feature information and the heart rate variation feature information are merged into a pain fusion feature set, and input into a SVR regression classifier for training and learning, a facial expression image sequence and the heart rate data of a patient to-be-evaluated are collected to generate a pain fusion feature set to-be-tested, and sent to a trained SVR classifier for regression prediction to complete the assessment of pain level. The pain assessment method of the fusion heart rate variation feature and the facial expression feature of the present invention can not only quickly and accurately evaluate the pain level, but also eliminates interference of light, the facial features, the physiological response characteristics, the pain tolerance and other factors on pain expression recognition, and improves the accuracy androbustness of pain assessment.

The invention discloses an intelligent self-control analgesia system. The intelligent self-control analgesia system comprises wearable intelligent equipment, a cloud server and an electronic medicineinjection pump, wherein the wearable intelligent equipment is used for collecting the physiological information and pain evaluation result of a user, transmitting the physiological information and pain evaluation result to the cloud server, receiving an analgesia instruction of the user, and transmitting the analgesia instruction to the electronic medicine injection pump; the cloud server is usedfor receiving the physiological information and the pain evaluation result of the user, performing model training according to the physiological information and the pain evaluation result to obtain apain level prediction model, obtaining the pain level of the user according to the prediction model and the physiological information of the user, and sending the pain level to a doctor side APP; andthe electronic medicine injection pump is used for performing analgesic administration according to the received analgesic instruction. By means of the system, physiological information of a user canbe collected for a long time, the pain level is evaluated according to the physiological information, automatic control analgesia can be conducted through the wearable intelligent equipment, man-machine interaction is achieved, and the user experience is greatly improved.

The invention discloses a pain level evaluation method based on a facial pain expression video. The method is characterized by comprising a training stage and a recognition stage, wherein the trainingstage comprises the following steps: (1) extracting a human face pain expression video from a human face pain expression video library, and editing according to a set time period and different pain levels to obtain a plurality of levels of video clips with different pain levels; (2) preprocessing the video clips with different pain levels, and training and constructing a pain level evaluation network comprising a convolutional neural network and a long-short-term memory network; the recognition stage comprises the following steps: collecting a human face pain expression video clip of a patient in a set time period, taking the human face pain expression video clip as input of a pain level evaluation network, and evaluating and outputting a pain level value corresponding to the human face pain expression video clip by the pain level evaluation network. The pain level evaluation method based on the facial pain expression video is high in accuracy and robustness.

The invention discloses a pain information processing method and device, equipment and a storage medium. The pain information processing method includes the steps: obtaining pain expression video stream of a target user; obtaining an expression image frame corresponding to each sampling moment according to the video stream; extracting expression feature vectors corresponding to the expression image frames corresponding to the sampling moments; grouping the expression feature vectors corresponding to the sampling moments; obtaining a plurality of expression feature vector groups; and obtaininga pain level corresponding to the target user based on the plurality of expression feature vector groups, thereby fully fusing the influence of the time dimension on the pain expression into the expression features, and taking the time dimension as a calculation dimension for judging the pain degree, thereby effectively improving the accuracy of analyzing the pain degree of the user.

The invention relates to a quantitative evaluation method for the pain of a subject. The method comprises the steps of painting painful positions in predetermined colors on a preset three-dimensional human model to represent pain types and pain areas, wherein the predetermined colors are various different colors, each color is corresponding to one pain type and the number of pixels at the painted pain areas represents the pain degree; and showing a cross section drawing at a selected position of the three-dimensional human model and further marking the pain positions of the subject on the cross section drawing to reflect the pain depth of the subject.

A pain inferring device for designing a shape giving a subject as little pain as possible when the subject touches the shape. The pain inferring device includes an input unit, an output unit, a main control unit, a learning storage unit, and a neural network. The neural network learns the relationship between the input value of shape data and the output value of the data on the degree of pain when a subject touches a shape. By the learning, an input/output function (namely, the coefficient of coupling of neurons in layers) representing the relationship between the input and output values is defined and stored in the learning storage unit. When the shape data is inputted through the input unit, the neural network infers the degree of pain by using the function stored in the learning storage unit.

This pain measurement device (10) for measuring pain experienced by a subject (99) is provided with a determination unit (12) for determining a reference stimulation intensity corresponding to reference pain of the subject (99), on the basis of a relationship between pain levels reported by the subject (99) and stimulation intensities applied to the subject (99), and a measurement unit (13) which compares electroencephalographic data measured from the subject (99) and reference electroencephalographic data corresponding to the reference stimulation intensity to measure pain experienced by the subject (99) when the electroencephalographic data is measured.

The invention provides an assessment method and system for a massage effect of a patient with lumbar disc herniation. The method comprises the steps of preprocessing collected electroencephalogram data before and after massage of the patient with the lumbar disc herniation; extracting eigenvalues of the preprocessed electroencephalogram data; performing statistical analysis on the extracted eigenvalues; analyzing changes of electroencephalogram signals before and after the massage to find out different channels or rhythms; and analyzing correlation between the channels or the rhythms with remarkable difference before and after the massage and VAS pain levels. According to the assessment method and system for the massage effect of the patient with the lumbar disc herniation, provided by the invention, the collected electroencephalogram data is subjected to a series of data processing to obtain the eigenvalues, the statistical analysis is performed, the difference before and after the massage of the patient with the lumbar disc herniation is found out, and the massage effect is subjected to preliminary rehabilitation training assessment; and the assessment method and system has the advantages that noninvasiveness is achieved, measurement in any place is facilitated, a motion abnormality characteristic which cannot be reflected by imageology can be reflected, and objectivity and accuracy are achieved relatively.

The present invention provides a method for detecting patient pain for a mobile device and a system thereof, the mobile device operates the system including the detection method to output a standard pain level. The method comprises: S1 collecting a facial picture and the self-describing pain level; S2 adjusting the collected facial picture to a standardized picture; S3 extracting the feature operators of the predetermined number of features in the standardized picture, wherein the feature operator extracts the feature operator with high priority by taking the priority of the middle order in the pain level as the extraction order; S4 calculating the initial pain level by using a convolutional neural network algorithm according to the feature operator; S5 determining a difference value between the self-describing pain level and the initial pain level, and if the absolute value of the difference value is within a preset deviation range, outputting the initial pain level; If the absolute value of the difference value exceeds the preset deviation range, then returning to S3 to re-extract the feature operator of the predetermined number of features. The method enables a fast and efficient standardized method to detect pain.

Chromium-three cation in combination with Phyllanthus emblica extract and Shilajit is useful in treating symptoms associated with osteoarthritis including reduction of inflammation and pain in a mammal, particularly a human or an animal. The combination shows significant reduction in overall pain levels and other pain measures in a canine model, and in human studies. Thus the composition is an anti-arthritic formulation that decreases pain and inflammation.