31 results about "Pain assessment" patented technology

Systems, methods and devices are provided for assessing and/or treating pain, discomfort, and/or anxiety through the development of an algorithm based on a correlation between electroencephalography (EEG) signals received from a patient and the patient's self-assessed levels of pain. The pain detection algorithm is then applied to EEG signals obtained from any patient and used to assess the patient's level of pain without requiring other input from the patient. One or more devices in a system may be implemented to measure the EEG signals, apply the algorithm and display a level of pain in real-time to a patient or healthcare provider. The real-time pain assessment may be used to continuously monitor whether a patient is in pain and select one or more treatments to minimize the patient's perception of pain and avoid prescribing unnecessary medications.

Systems and methods for automatic pain monitoring and assessment are described herein. In one example, the system may include a wearable facial expression capturing system that is placed over a subject's face. The system may be embedded with a plurality of sensors configured to detect biosignals from facial muscles and may additionally include a sensor node that recognizes facial expressions based on the detected biosignals. Pain experienced by the subject is assessed based on the facial expressions in conjunction with physiological signals obtained by other wearable sensors.

A system and method for measuring an infant's pain intensity is presented. The method for assessing an infant's pain intensity based on facial expressions is comprised of three main stages: detection of an infant's face in video sequence followed by preprocessing operations including face alignment; expression segmentation; and expression recognition or classification. Also presented is a multimodal system for assessing an infant's pain intensity using the following classifiers: facial expression classifier; vital sign classifier; crying recognition classifier; body motion classifier and state of arousal classifier. Each classifier generates an individual score, all of which are normalized and weighed to generate a total pain score that indicates pain intensity.

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 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.

A computer-based system and method for generating a current pain assessment of a neonate using facial expressions along with crying sounds, body movement, and vital signs changes and for using the current pain objective assessment to predict future pain objective assessment and assign a future pain probability score by incorporation spatiotemporal data into the multimodal assessment.

The invention relates to a pain sensitivity evaluation system based on multi-dimensional measurement. The pain sensitivity evaluation system comprises an acquisition module, a control module, a collecting module, an electrical stimulation module, a processing module, a pain evaluation module and a pain evaluation integration module, wherein the acquisition module acquires user information and creates a user database for a user to input basic information; the control module integrates and controls the electrical stimulation module and the audio acquisition module, the electrical stimulation module gives pain stimulation to a user according to parameters such as current intensity and pulse width, and the acquisition module acquires electroencephalogram signals and audio signals; the processing module processes the collected electroencephalogram signals and audio signals to obtain a processing result; a stimulation-response model module carries out analysis on the obtained result and establishes a personalized stimulation-response model; and the pain evaluation integration module integrates questionnaire evaluation and stimulation-response model data and calculates individual pain sensitivity scores.

The invention discloses a pain recognition system based on confidence interval fusion threshold criteria. The pain recognition system comprises a monitoring data acquisition module, a threshold processing module, a pain recognition module, an output module and an alarm module, the monitoring data acquisition module is used for acquiring multi-dimensional monitoring data; the threshold value processing module is used for fusing a threshold value criterion to preprocess the pain monitoring data; the pain recognition module carries out function training on the monitoring data by utilizing a constructed pain monitoring data grading model and determines a pain detection data confidence interval, and the output module is used for displaying a pain grade range corresponding to each real-time monitoring data training and transmitting the pain grade range to a medical personnel computer; and the alarm module is used for judging whether the monitoring data is within an effective range or not, and sending alarm information to prompt medical staff to process if the monitoring data is invalid. According to the invention, the pain degree of the patient can be accurately monitored and identified in real time, so that effective pain assessment and treatment of the patient are realized.

The invention provides a pain degree assessment method and an assessment device. Specifically, the assessment method comprises the following steps: detecting discharge physiological signals of variousmuscles of spinal muscle groups of a plurality of experimental objects in a body bending process, so that the plurality of discharge physiological signals, which correspond to each muscle, are obtained; processing the plurality of discharge physiological signals corresponding to each muscle, so that a plurality of effective discharge parameter values, which correspond to each muscle, are obtained; conducting pearson relevancy analysis in accordance with the plurality of effective discharge parameter values corresponding to each muscle and a preset visual simulation rating scale, so that a pain-related coefficient of each muscle is obtained; and judging whether the pain-related coefficient of each muscle is within a preset related coefficient range so as to obtain relevancy degrees of theeffective discharge parameter values of the corresponding muscles to pain. The assessment method is simple in pain assessment operation, low in cost, free from influence of subjective factors and highin accuracy.

The invention provides a medical care management system and method. The system comprises an establishment module, a pain evaluation module and a consultation and guidance module, wherein the establishment module is used for establishing an interaction platform for interconnecting doctors and patients; the pain evaluation module is connected with the interaction platform and used for establishing apatient pain file in the interaction platform and recording a patient medical record in the patient pain file to generate a patient pain log; and the consultation and guidance module is used for sending consultation and inquiry information of the patient to the doctor through the interaction platform and sending illness state analysis guidance information fed back by the doctor according to the pain log and the consultation and inquiry information to the patient. According to the invention, the communication between the patients and the medical staff can be conveniently and effectively realized, so that whole course management can be conducted on the pain patient remotely, the pain control and re-diagnosis of the patient are facilitated, great convenience is brought to the patients and the medical staff, and the medical cost is effectively reduced at the same time.

The invention relates to a parturition pain assessment system and method. The system is provided with an NRS scale real object or a man-machine interaction device containing an NRS scale electronic image, and is further provided with a fetal heart monitor, a timer, a parturition pain management and judgment module, an abnormal uterine contraction pain judgment module, an alarm, a parturition painscore display module, an input device, a storage device and a display. The method comprises the following steps: collecting three parameters of a puerpera NRS score, a one-time uterine contraction duration time and a two-time uterine contraction interval time at intervals, and displaying the NRS score, the one-time uterine contraction duration time and the two-time uterine contraction interval time in a two-dimensional score representation method; judging the delivery pain level or degree according to the three parameters; and judging whether abnormal pain (pain caused by abnormal uterine contraction, such as uterine rupture, symphysis pubis separation and the like) exists or not according to the three parameters. According to the method, the parturient parturition pain degree can be reflected more simply, conveniently, quickly and accurately, and individual parturition period pain management and parturition period mother and infant safety are optimized.

The invention discloses a portable pain assessment system combining electrical stimulation with big data analysis. The system comprises an electrical stimulation device, a data acquisition device, a display assessment device, a data transmission device and a cloud data processing device, wherein the electrical stimulation device processes an input voltage value, outputs corresponding current and applies the output current to skin of a normal human body sensory function area through an electrode slice, so that a generated subjective pain score is input into the display assessment device. According to the portable pain assessment system combining electrical stimulation with big data analysis, the subjective pain score of a current patient is assessed in a mode of combining the subjective pain score with an objective pain score, so that corresponding pain assessment is obtained, and the disease severity degree of the patient and the pain self-scoring objective degree of the patient are further assessed.

The invention relates to a medical management technology, and discloses a joint part selection method and selection device for pain assessment. The method comprises the steps that a newly-added pain part selection interface displays a figure; a user clicks a mask layer block, and a selected pain part popup window is newly added on the figure; the user selects a joint part and a position by selecting the pain part pop-up window; confirmation is clicked, and selected pain part information is displayed in a temporary storage position; if more pain parts need to be added, steps 2-4 are repeated; and if no more pain part need to be selected, submitting is clicked, and the information in the temporary storage position is automatically input into a corresponding patient pain assessment list. The invention further discloses a selection device which comprises a display module, a storage module and a processing module. According to the method, the figure is divided into regions, joint parts displayed by clicking each layer are not too many, pain parts to be input can be visually, rapidly and accurately positioned, the working efficiency is improved, and the input uniformity is ensured.

The invention provides a multifunctional scale device for pain assessment, relates to the technical field of scale devices, and solves the problems that indication of a pointer cannot be achieved through grip strength through structural improvement, and vibration type pressure reduction of a patient cannot be achieved in the indication process. And the problems that the adjustable structure cannot adapt to patients with different gripping forces through structural improvement, and automatic locking cannot be realized in the prior art are solved. The invention discloses a multifunctional scale device for pain assessment. The multifunctional scale device comprises a driving structure; the driving structure comprises a seat body, and the seat body is of a rectangular block-shaped structure. The poke rod is welded on the top end surface of the sliding seat A, and the poke rod is of a rectangular block-shaped structure; the top end face of the poke rod makes contact with the bottom end face of the stress base, and the poke rod is aligned with the protrusion, so that on one hand, locking of the stress base and the sliding base A can be achieved through the protrusion and the poke rod, then locking of the pointer after a test is completed can be achieved, on the other hand, vibration of the sliding base A can be achieved, and vibration decompression of a patient is achieved.

The invention discloses a visual identification pain grading evaluation method, and belongs to the field of pain evaluation. The method comprises the following steps: acquiring image information of a patient; extracting posture information of the patient through a skeleton model based on the posture image, and extracting corresponding positions and relative distance information of five sense organs of the patient through a five sense organ model based on the face image; and inputting the extracted feature information into a trained convolutional neural network and long and short memory network model to obtain a patient pain grading evaluation result. According to the technical scheme provided by the invention, the pain assessment method based on the visual means is realized, wherein the extracted patient data features comprise the bone posture information of the patient and the information of the five sense organs of the human face.

The invention belongs to the technical field of medical care, and discloses a device for ligature of umbilical cords of newborns, used in the field of medical care. The device for ligature of the umbilical cords of newborns, used in the field of medical care comprise a video collecting module, a physiological data collecting module, a main control module, a disinfection module, a shearing module,a clamping module, a video enhancing module, a pain assessment module and a display module. According to the device for ligature of the umbilical cords of newborns, used in the field of medical care disclosed by the invention, through the video enhancing module, the problem of video frame infidelity caused by that the brightness of too-dark images is increased to be too high, or the brightness oftoo-bright images is reduced to be too low brought by directly using traditional methods including histogram equalization saturation degree enhancing and the like is solved, so that compared with a source video, the video obtained through the device is clearer in details; besides, through the pain assessment module, a deep study technique based on the convolution neural network is applied to the field of newborn pain facial expression recognition, so that the recognition rate and the robustness under complex situations that faces are sheltered, postures are sloped, and illumination is changedare improved; and through the adoption of the device for ligature of the umbilical cords of newborns, used in the field of medical care, the accurate assessment of pain of the newborns is greatly increased.

The invention discloses a tool for VAS scoring, and belongs to the technical field of pain assessment. The tool for VAS scoring comprises a lower plate, a VAS scoring table and an upper plate, the upper plate and the lower plate are arranged in parallel, the lower plate is provided with a rotating shaft, the upper plate is arranged on the rotating shaft and can rotate around the rotating shaft, the upper plate is provided with a slot hole, the lower plate is provided with measuring scales; a long line used for representing pain degree is drawn on the scoring table, when scoring is carried out,the upper plate coincides with the lower plate, the VAS scoring table is located on the lower plate, the long line on the scoring table is located in the slot hole of the upper plate. The position ofa patient in the VAS scoring table is directly measured by the scales on the lower plate, the measurement is convenient and accurate, and the measuring precision and efficiency are improved.