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QUANTIFICATION SYSTEM AND METHOD OF GAIT TEST TO EXTRACT FEATURES OF FREEZING OF GAIT SYSPTOM OF PARKINSON'S DISEASE
QUANTIFICATION SYSTEM AND METHOD OF GAIT TEST TO EXTRACT FEATURES OF FREEZING OF GAIT SYSPTOM OF PARKINSON'S DISEASE
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机译：步态测试的量化系统和方法，提取帕金森病步态冻结的特征
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摘要
The present invention relates to a system and a method of quantifying data for extracting features of symptoms of gait freezing in Parkinson′s disease. The method comprises the steps of: measuring, in a terminal, an acceleration of a user at a predetermined time period and generating accelerometer data in a CSV file form; removing, in the terminal, noise included in the generated accelerometer data; correcting, in the terminal, an axis for fixing an y axis in a gravity direction among three axes to correct a posture of the user and a slop of the terminal with respect to the accelerometer data from which noise is removed; separating, in the terminal, the accelerometer data whose axis is corrected into an accelerometer data vector value of a vertical component and an accelerometer data vector value of a horizontal component; performing, in the terminal, a fast Fourier transform of accelerometer data of a vertical component and accelerometer data of a horizontal component, and calculating a maximum value of the accelerometer data of a vertical component and the accelerometer data of a horizontal component, using a size of the separated accelerometer data vector value of a vertical component and a size of the accelerometer data vector value of a horizontal component; calculating, in the terminal, an average value of the accelerometer data vector value of a vertical component and the accelerometer data vector value of a horizontal component using the separated accelerometer data vector value of a vertical component and the separated accelerometer data vector value of a horizontal component; and quantifying, in a quantification device, the accelerometer data using a result value of the performed fast Fourier transform and the calculated maximum value and the average value.
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