Method for detecting patient pain for mobile device and system thereof

Abstract

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.

Description

technical field [0001] The invention relates to the field of medical detection, in particular to a patient pain detection method and system for mobile devices. Background technique [0002] Pain is an unpleasant subjective and emotional experience. The International Pain Society defines it as: an unpleasant emotional experience, with or without actual or potential tissue damage. Surveys show that pain is one of the most important symptoms that hospitalized patients need to address. Assessment is the first step in pain control, and correct assessment of pain is of great significance for effectively reducing pain. The same people have different perceptions of pain at different times and in different emotional states, and different people have great differences in pain perception under the same nature of physical injury and pain treatment. At present, the main method of pain detection is purely subjective judgment, that is, the pain is judged orally by the patient through th...

AI Technical Summary

Problems solved by technology

The main disadvantage of this instrument is that the price of the instrument is relatively expensive, and ordinary small and medium-sized medical institutions cannot afford and purchase it.

In addition, the operation evaluation method of this machine is complicated, and a person with specialized knowledge is required to operate it.

In addition, the work engineering of pain detection and evaluation is relatively cumbersome and cumbersome. It usually takes 1-2 days for an evaluation to obtain the evaluation results. The evaluation time is long and the evaluation efficiency is low.

[0010] To sum up, at present, there is a situation in pain detection that the patient cannot clearly express the pain, which leads to the doctor's misjudgment and the delay of the disease, and some existing detection methods are also difficult to detect accurate results because they are abstract and require the patient to have a certain level of education. If professional instruments are used for measurement, the price is high, the operation is cumbersome, and the efficiency is low

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