13 results about "Pain experience" patented technology

A method for assessing pain experienced by a patient (3) comprises: receiving a sensor signal (8) which has been generated in a sequence of epochs (10) by a sensor (2) configured for measuring a physical activity of the patient (3), wherein each epoch (10) comprises a sequence of measurement periods (11), wherein the sensor signal (8) has been generated in each measurement period (11); determining a signal intensity value (12) for each measurement period (11) from the sensor signal (8); classifying the signal intensity values (12) of each epoch (10) with different physical activity classes (13a, 13b, 13c, 13d) to obtain a classification result (15) for the epoch (10); and determining a behavior assessment score (16) indicative of the pain experienced by the patient (3) from the classification results (15) of different epochs (10).

Systems and techniques to determine programming of an implantable electrical neurostimulation device, through chronic pain treatment modeling that evaluates pain experience states and transitions for a patient. In an example, a system to determine programming of a neurostimulation device performs operations to: determine possible pathways to traverse pain experience states of a chronic pain condition, as the possible pathways provide respective paths among the states from a starting state to one or more intermediate states to a goal state; determine transition costs between the states used in the possible pathways, with respective pain experience states being associated with different pain management characteristics of neurostimulation therapy; identify a path of the possible pathways to reach the goal state, based on the transition costs and patient characteristics; and select programming parameters for the neurostimulation device, to provide neurostimulation therapy based on the identified path to achieve the goal state.

Systems and techniques to determine programming of an implantable electrical neurostimulation device, through chronic pain treatment modeling that evaluates pain experience states and transitions for a patient. In an example, a system to determine programming of a neurostimulation device performs operations to: determine possible pathways to traverse pain experience states of a chronic pain condition, as the possible pathways provide respective paths among the states from a starting state to one or more intermediate states to a goal state; determine transition costs between the states used in the possible pathways, with respective pain experience states being associated with different pain management characteristics of neurostimulation therapy; identify a path of the possible pathways to reach the goal state, based on the transition costs and patient characteristics; and select programming parameters for the neurostimulation device, to provide neurostimulation therapy based on the identified path to achieve the goal state.

The invention discloses a pain assessment method under local anesthesia and related equipment. The method comprises the following steps: monitoring grip strength data of an intraoperative patient under local anesthesia to generate a grip strength change curve; monitoring skin conductivity data of an intraoperative patient under local anesthesia to generate a skin conductivity fluctuation curve; and based on the grip strength change curve and the skin conductivity fluctuation curve, evaluating the overall pain experience under local anesthesia through a peak-end law. The problem that an accurate, effective, easy-to-operate and effective solution for knowing the intraoperative pain of the local anesthesia patient does not exist at present can be solved.

The utility model provides a thoracic cavity closed drainage tube pain experience device which comprises an installation part capable of being fixed to the chest of an experiencer, a plurality of drainage tube connectors are arranged on the outer side of the installation part, and a plurality of pain experience modules which can make contact with the chest skin and correspond to the drainage tube connectors in a one-to-one mode are arranged on the inner side of the installation part. The pain experience modules are connected with the pulse host through wires, and when the drainage tube joints are operated, the corresponding pain experience modules can generate low-frequency current. The thoracic cavity closed drainage tube placing position can be adjusted by arranging a plurality of drainage tube connectors at different positions, meanwhile, the pain experience module is arranged in the installation piece, an experiencer can personally feel pain possibly generated in the drainage tube placing and drainage process, the approximate pain threshold value of a patient is known, and the pain experience effect is improved. Therefore, nursing diagnosis can be made better, and a plan of nursing measures can be made in advance. In addition, the scene can be simulated, and the patient can be better taught to nurse the thoracic closed drainage tube and protect the tube before the operation.

A method for determining an objective pain score for pain experienced by a patient includes placing adhesive bandages on a patient, each of which has multiplexed sensors and providing information from the sensors to a scoring agent that has been trained through contrastive learning to provide the objective pain score based on the information from the sensors.

Methods and systems are provided for diagnosing chronic spinal pain of a patient that include receiving and storing an image of the patient's back or neck. The image includes a first set of visual indicia corresponding to anatomical landmarks of the patient's back or neck as well as a second set of visual indica corresponding to locus of pain experienced by the patient. The image is processed to generate feature data representing spatial location and pain characteristics of point(s) corresponding to locus of pain experienced by the patient. The feature data is input to an expert system that generates first output data representing a predicted diagnosis of chronic pain of the patient and optional second output data representing a confidence level associated with the predicted diagnosis as indicated by the feature data input. A lookup table provides a treatment corresponding to the first output data and the optional second output data.

Methods and systems are provided for diagnosing chronic spinal pain that include receiving and storing an image of a patient's back or neck. The image includes a first set of visual indicia corresponding to anatomical landmarks of the patient's back or neck as well as a second set of visual indica corresponding to locus of pain experienced by the patient. The image is processed to generate feature data representing spatial location and pain characteristics of point(s) corresponding to locus of pain experienced by the patient. The feature data is input to an expert system that generates output data representing a predicted diagnosis of chronic pain of the patient and optional output data representing a confidence level associated with the predicted diagnosis as indicated by the feature data input. A lookup table provides a treatment corresponding to the output data.

The present invention relates to a medical device developed to reduce pain during local anesthesia and injection procedures. The device is equipped with circularly arranged vibration motors, a cold application surface, and a controlled pressure mechanism. The simultaneous application of vibration, pressure, and cold stimulation prevents or delays the transmission of pain signals to the brain, thereby reducing pain experienced by the patient during the injection.

Systems and techniques are disclosed to establish programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to determine pain treatment parameters for a human patient and identify a new device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to establish programming of the neurostimulation device performs operations that: obtain state data indicating a measured value that is correlated to pain experienced by the human subject; determine neurostimulation programming parameters, using a dynamic model, for pain treatment in the human subject, as the dynamic model is used to identify values of the neurostimulation programming parameters that predict an improvement to the measured value; and indicate a neurostimulation program for the neurostimulation device, that includes the neurostimulation programming parameters for the implantable electrical neurostimulation device.

This invention discloses a personalized biofeedback analgesia system in a virtual reality environment, relating to the technical field of pain regulation. It includes a personalized feedback scenario generation module, which collects the test subject's pain experience data to form a desired scenario video resource library; a personalized pain biomarker mining module, which collects multimodal bioelectrical signals and corresponding pain questionnaires from patients in different states to identify individual-specific pain biomarkers; an online pain monitoring module, which acquires the patient's current multimodal bioelectrical signals in real time, extracts pain biomarker response values, compares them with preset pain thresholds, and outputs a pain warning signal; and a pain intervention module, which, upon receiving the pain warning signal, matches and recommends personalized scenario videos generated based on the patient's characteristics from the desired scenario video resource library, and uses virtual reality to visually present the changes of corresponding regulatory elements in the recommended scenario videos in real time to alleviate pain. This invention has a more comprehensive data foundation, can meet the individual needs of patients, and reminds patients to take pain intervention measures when the pain signal is weak, achieving effective prevention and relief of pain.

The present invention provides a method for discriminating or classifying pain experienced by an estimated subject based on the subject's brain waves. The method comprises: a) stimulating the estimated subject with multiple levels of stimulation intensity; b) obtaining brain wave data or analysis data corresponding to the stimulation intensity; c) extracting brain wave features from the brain wave data or analysis data; and d) introducing the features into a sparse model analysis to approximate at least one of the quantitative and qualitative levels of pain, thereby estimating or discriminating the pain level. The present invention also provides a method for discriminating or evaluating pain, comprising the steps of comparing all or a portion of the brain wave data or analysis data for a period of 2000 milliseconds from the earliest time point among the evoked brain wave component, the initial event-related potential component, and 250 milliseconds after the subject is stimulated, with brain wave data or analysis data after the same time period has elapsed since the application of a reference stimulus.

Provided are a pain measuring device and a main measuring method. More particularly, the pain measuring device may control a temperature provided from a temperature stimulator, receive, from a user input portion, a user input for recording a level of stimulation according to the temperature, obtain, from a camera, image data representing a change in an external shape of a user according to the stimulation, obtain, from a sensor, biodata representing a biological change of the user according to the stimulation, and obtain information about a level of pain experienced by the user according to the stimulation based on data corresponding to the user input, the image data, and the biodata.