A high accuracy information extracting device construction system includes: a feature quantity extraction expression list generating unit for generating a feature quantity extraction expression list; a feature quantity calculating unit for calculating feature quantities of teacher data by means of respective feature quantity extracting expressions; a teacher data supply unit for supplying teacher data; an evaluation value calculating unit for generating information extracting expressions by means of machine learning on the basis of the calculated feature quantities of teacher data and the teacher data, and calculating evaluation values for the respective feature quantity extracting expressions; and a synthesis unit for constructing a high accuracy information extracting device using T weak information extracting parts F(X)t output from the evaluation value calculating unit 15 and confidence levels Ct corresponding thereto.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

An ongoing pain detection system and method are provided. The method includes obtaining imaging data from patient using functional near-infrared spectroscopy from at least one cortical region of the brain of a non-responsive patient and observing power spectral density variations in the signal. The measured imaging data is compared with patient pain based on control data to recognize ongoing pain in the non-responsive patient.

A controller controls a temperature sensation provider that provides temperature sensations to an object contacting a contact surface of the temperature sensation provider. The controller includes a database including control information that associates values of a temperature of the contact surface with values of a controlled variable of the temperature sensation provider for each of the temperature sensations, and a temperature controller that controls the temperature sensation provider based on a measured temperature of the contact surface, a temperature sensation to be provided, and the control information.

The inventive concept relates to a stimulus providing device that provides training stimuli for improving pain of a pain patient, a perception training method, and a computer program. The stimulus providing device for providing a training stimulus for improving pain includes one or more mounting units mounted on body portions of a user, and one or more stimulus providing units disposed in the mounting units and which provides stimuli to the body portions, the stimulus providing units are controlled by a control unit included in the stimulus providing device or a control unit physically separated from the stimulus providing device to interwork with the stimulus providing device and included in a terminal of the user, and the control unit controls at least one of a location, a range, and an intensity of the stimuli.

Systems and methods for the diagnosis of chronic pain are disclosed. An algometer comprising a pressure sensor and electrode is disclosed. The algometer may be used to measure pressure applied by a clinician at a location on a patient's body, along with EMG signals emanating from the same location of the patient. Further, a pain trigger operable by the patient may be used in coordination with the algometer. Data from the algometer and pain trigger are transmitted to a computing device and display for rendering and analysis of patient data, leading to improved diagnosis.

The inventive concept refers to a system, a method, and a computer program for providing training for pain improvement. According to an exemplary embodiment, a training providing method for pain improvement includes requesting, by a computer, a temperature providing device to provide a first temperature to a first body point, requesting, by the computer, the temperature providing device to provide a second temperature to a second body point, requesting a user to select a temperature matched with a specific condition among the first temperature and the second temperature, and calculating a correct answer rate after performing a trial of distinguishing between the first temperature and the second temperature by a predetermined number.

The inventive concept refers to a system, a method, and a computer program for providing training for pain improvement. According to an exemplary embodiment, a training providing method for pain improvement includes requesting, by a computer, a temperature providing device to provide a first temperature to a first body point, requesting, by the computer, the temperature providing device to provide a second temperature to a second body point, requesting a user to select a temperature matched with a specific condition among the first temperature and the second temperature, and calculating a correct answer rate after performing a trial of distinguishing between the first temperature and the second temperature by a predetermined number.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

A method of detecting pain in a subject, comprises the steps of generating brain wave data based on brain wave activity of the subject and comparing the brain wave data to reference data to generate result data, the reference data corresponding to at least one of (i) population normative data indicative of brain wave activity of a first plurality of individuals in an absence of pain, (ii) population reference data indicative of brain wave activity of a second plurality of individuals generated in response to pain events inflicted on the second plurality of individuals, (iii) subjective population reference data indicative of brain wave activity of a third plurality of individuals reporting a sensation of pain, and (iv) population of reference data indicative of brain wave activity of a fourth population of individuals following an intervention which has changed a subjective report of pain in combination with determining a presence of pain experienced by the subject as a function of the result data.