Pain classification and momentary-pain determination using sparse modeling

A sparse model, model technology, used in applications, medical science, inoculation and ovulation diagnosis, etc.

Pending Publication Date: 2020-05-19
OSAKA UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the intensity of pain is subjective and difficult to evaluate objectively
It is extremely unbearable pain or pain that can be tolerated to a certain extent. It cannot be expressed only by the subjective expression of "pain". Individual expressions are also diverse, so it is difficult to make an objective evaluation. However, after observing Pain classification is desirable in the context of treatment effects, however no such technique is provided

Method used

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  • Pain classification and momentary-pain determination using sparse modeling
  • Pain classification and momentary-pain determination using sparse modeling
  • Pain classification and momentary-pain determination using sparse modeling

Examples

Experimental program
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Embodiment approach

[0222] Preferred embodiments of the present invention will be described below. The embodiments provided below are provided for a better understanding of the present invention, and it should be understood that the scope of the present invention should not be limited to the following descriptions. Therefore, it is clear to those skilled in the art that appropriate changes can be made within the scope of the present invention with reference to the description in this specification. In addition, it should be understood that the following embodiments of the present invention may be used independently or in combination.

[0223] In addition, the embodiments described below are all inclusive or specific examples. Numerical values, shapes, materials, components, arrangement positions and connections of components, steps, order of steps, etc. shown in the following embodiments are just examples, and are not intended to limit the scope of the claims. In addition, among the constituent...

Embodiment 1

[0427] (Example 1: Sparse Model Analysis under Thermal Pain Stimulation)

[0428] In this example, sparse model analysis of thermal pain stimulus experimental data was performed.

[0429] (participant)

[0430] Forty healthy adults in their 20s to 70s participated in the experiment. Before the experiment, the participants signed a notice of informed consent. All participants self-reported no neurological and / or psychiatric illness, or experienced acute and / or chronic pain in the context of clinical medication. This study was carried out under the approval of the Ethics Committee of the Osaka University Hospital and the Declaration of Helsinki.

[0431] (step)

[0432] The inventors of the present invention used a thermal stimulus presentation paradigm. The paradigm was to use a thermal stimulus with a baseline temperature of 35°C and a temperature increase of 2°C in steps from 40°C at level 1 to 50°C at level 6. The trial block for each stimulus level consisted of 3 stim...

Embodiment 2

[0455] (Example 2: Utilization of a pre-generated regression model (discriminant model))

[0456] In this example, an example of an actual pain level judging device is shown.

[0457] In practice, it is hoped that if Figure 16 As shown, the discriminant model generation unit is connected to the pain discriminant / estimator or connected in advance in an accessible manner. Such a pain discrimination / estimation device can be provided using the discriminant model obtained in the present invention based on sparse modeling.

[0458] According to Example 1, a pain level discrimination / estimation method of an unknown target to be estimated is shown, realized by a pain discrimination / estimation model created in advance. The discriminant model created in advance in this way is stored in the pain discriminant / estimator, or is made accessible in advance. The subjects and the data analysis method were the same as in Example 1, but the data for model creation was produced by randomly exc...

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PUM

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Abstract

The present invention provides a method for making determinations on or classifying the pain of an estimation subject on the basis of the brainwaves of the estimation subject. This method includes: (a) a step for stimulating the estimation subject at a plurality of levels of stimulation intensity; (b) a step for acquiring brainwave data for the estimation subject that corresponds to the stimulation intensities or for acquiring analysis data for the brainwave data; (c) a step for extracting a brainwave feature quantity from the brainwave data or the analysis data; (d) and a step for plugging the feature quantity into a Sparse model analysis, making the feature quantity approach a quantitative level and / or a qualitative level for pain, and estimating or making a determination on a pain level. The present invention also provides a method for making determinations on or evaluating pain, the method incorporating a step for comparing all or a portion of brainwave data or analysis data for the brainwave data from the 2,000 msec following the earliest of an induced brainwave component, an initial-event-related voltage component, and 250 msec after a target stimulus has been applied with brainwave data or analysis data for the brainwave data from after the same amount of time after a reference stimulus has been applied.

Description

technical field [0001] The present invention relates to a technique for analyzing biological signals such as brain waves obtained from an estimated target by sparse modeling, and classifying the quality and quantity of pain with a small amount of information. More specifically, the present invention relates to objectively classifying or discriminating pain levels having individual differences (for example, weak pain, strong pain, etc.). [0002] The present invention also relates to a technique for discriminating instantaneous pain using brain waves. More specifically, it relates to a technique for judging whether or not instantaneous pain has occurred by judging a signal after a predetermined time has elapsed after stimulation. Background technique [0003] Pain is subjective in nature, but it is desirable to evaluate it objectively for treatment. It is not uncommon for patients to suffer disadvantage due to underestimation of pain. Therefore, a method of objectively est...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0484A61B10/00
CPCA61B10/00A61B5/383A61B5/4824A61B5/7264A61B5/316A61B5/377
Inventor 中江文成瀬康曽雌崇弘
Owner OSAKA UNIV
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