QUANTIFICATION SYSTEM AND METHOD OF GAIT TEST TO EXTRACT FEATURES OF FREEZING OF GAIT SYSPTOM OF PARKINSON'S DISEASE

摘要

The present invention relates to a data quantification system and method for extracting a walking freezing symptom feature of Parkinson's disease, and a data quantification method for extracting a walking freezing symptom feature of Parkinson's disease according to the present invention comprises: Measuring and generating accelerometer data in a CSV file format; At the terminal, removing noise included in the generated accelerometer data; Correcting, at the terminal, an axis for fixing the y-axis among the three axes in the direction of gravity to correct the posture of the user and the tilt of the terminal with respect to the accelerometer data from which the noise is removed; Separating, at 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; In the terminal, a fast Fourier transform of the accelerometer data of the vertical component and the accelerometer data of the horizontal component is performed using the magnitude of the accelerometer data vector value of the separated vertical component and the magnitude of the accelerometer data vector value of the horizontal component. Calculating a maximum value of the accelerometer data of the component and the accelerometer data of the horizontal component; Calculating, at the terminal, an average value of accelerometer data of the vertical component and accelerometer data of the horizontal component using the accelerometer data vector value of the separated vertical component and the accelerometer data vector value of the separated horizontal component; In the quantification device, quantifying the accelerometer data using the resultant, calculated maximum and average of the fast Fourier transforms performed.