Method for quantitatively evaluating symptoms of tremor of patient with Parkinson's disease according to approximate entropy and cross approximate entropy

Abstract

The invention provides a method for quantitatively evaluating the symptoms of tremor of a patient with Parkinson's disease according to the approximate entropy and the cross approximate entropy, belonging to the fields of health care and pattern recognition. The method is characterized by comprising the following steps of: collecting the data of specified tremor of the thumb, collecting the data of specified tremor of the index finger, and grading the specified tremor of the thumb and the specified tremor of the index finger according to a UPDRS (unified Parkinson's disease rating scale); preprocessing the data of tremor; separating a sample training set from a sample testing sample; calculating the approximate entropy and the cross approximate entropy of the data of tremor; constructing the model of a classifier, and verifying the effectiveness of a method. The regularity and the synchronization of the tremor of the patient with Parkinson's disease are disclosed effectively according to the approximate entropy and the cross approximate entropy, and the symptoms of tremor can be accurately and quantitatively classified according to the tremor amplitude, the tremor frequency and other characteristics of the patient. The method is used for objectively evaluating the symptoms of tremor of the patient with Parkinson's disease, and can be applied to the fields of treatment and rehabilitation assessment of the patient with Parkinson's disease and the like.

Description

technical field [0001] The invention relates to the fields of sensing technology, medical care and sanitation, pattern recognition, etc., and in particular to a quantitative evaluation method for tremor symptoms of Parkinson's patients based on approximate entropy and mutual approximate entropy. Background technique [0002] Parkinson's disease, also known as Parkinson's paralysis, is one of the most common neurodegenerative diseases. The main clinical symptoms of Parkinson's patients are: bradykinesia, muscle rigidity, tremor, posture and gait disturbance. The onset is insidious in 50% to 80% of patients, and the first symptom is usually a 4 Hz to 8 Hz static "twist ball" tremor in one hand. This tremor is most pronounced when the limbs are at rest, weakens when the limbs perform activities, and disappears during sleep; emotional stress or fatigue can aggravate the tremor. Usually the tremor is most noticeable in the hands, arms, and legs. According to the latest epidemi...

AI Technical Summary

Problems solved by technology

Microelectrode-guided multi-target lesion itself is a technology with a relatively high safety factor, but unreasonable use of microelectrode-guided technology will cause serious consequences

In addition, the use of microelectrode technology has extremely high requirements on the operator, and it is generally not suitable for the study of tremor in Parkinson's patients.

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