A pain level assessment method and a pain level assessment device using the same

Abstract

The invention discloses a pain level assessment method. Optimization and decomposition processing is conducted on surface electromyogram signals, and corresponding signal characteristic values are extracted from a low frequency part which contains main characteristic information, interference with the signal characteristic values by noises of a high frequency part is prevented, so that the correlation between the signal characteristic values and objective pain levels is closer and more accurate, the accuracy and sensitivity of obtaining the objective pain levels through the surface electromyogram signals can be effectively improved, the work efficiency of medical staff is improved, and the purchasing cost of hardware when a hospital implements a pain level assessment is reduced, meanwhile the device which adopts the pain level assessment method has the same advantages.

Description

technical field [0001] The invention relates to the technical field of medical analysis, in particular to a pain level assessment method and a pain level assessment device using the same. Background technique [0002] Pain is the most common and important symptom in diseases. As a subjective symptom, the degree of pain is generally evaluated based on the patient's own feelings. Therefore, the level of pain is difficult to quantify, and how to objectively evaluate pain intensity has always been a research problem for scholars. In hospitals and rehabilitation institutions, it is necessary to formulate different treatment plans according to the different pain intensities of patients. Due to individual differences in the degree of fear of pain and the degree of pain tolerance of each person, the method of using scales to evaluate pain levels is somewhat subjective, and the scale evaluation cannot reflect the patient's muscle activity status and injury. Therefore, the subjectiv...

AI Technical Summary

Problems solved by technology

Among the above two more objective pain level assessment methods, the former has too high requirements on equipment and operation, and it is difficult and costly to implement in general medical institutions.

The latter is affected by the additional interference signal in the EMG signal, and in terms of the generation mechanism, the EMG signal has non-stationary time-varying characteristics, and is a time-frequency domain signal. The pure time domain extraction method has instability and randomness. It is difficult to accurately describe the internal characteristics of the EMG signal, so the relationship between the peak value of the EMG signal and the pain level is not close, and the pain level estimated by it has a large error, which is difficult to apply to the patient's condition. Reference and treatment plan under development

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