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

A technology of mutual approximate entropy and evaluation method, which is applied in the field of quantitative evaluation of tremor symptoms in Parkinson's patients, and can solve problems such as being unsuitable for Parkinson's patients.

Active Publication Date: 2015-03-11
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI +1
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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.

Method used

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

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Embodiment

[0139] Before the test begins, the professional physician communicates with the testers to let the testers understand the purpose of the test and the related matters that need to be paid attention to during the test, and demonstrates the static tremor movements and postural tremor movements that the testers need to do. Under the supervision of two professional physicians, after the tester is quiet, the professional doctor wears the inertial unit node for the tester, and uses the inertial unit node to collect the thumb tremor data and index finger tremor data of the tester under the static tremor action and postural tremor action Data, in the process of collecting tremor data, 2 professional physicians also used the Unified Parkinson's Disease Rating Scale UPDRS to score the testers' completion of resting tremor and postural tremor.

[0140] Based on the thumb tremor data and forefinger tremor data of the tester, at first utilize the Butterworth low-pass filter in the present in...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11
CPCA61B5/1101A61B5/1126
Inventor 程楠许胜强王训杨先军韩咏竹刘遥马祖长汪飞跃周旭孙怡宁
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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