Title :
Quantification of Motor Impairment in Parkinson´s Disease Using an Instrumented Timed Up and Go Test
Author :
Palmerini, Luca ; Mellone, Sabato ; Avanzolini, Guido ; Valzania, Franco ; Chiari, Lorenzo
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng. “Guglielmo Marconi, Univ. of Bologna, Bologna, Italy
Abstract :
The Timed Up and Go (TUG) test is a clinical test to assess mobility in Parkinson´s disease (PD). It consists of rising from a chair, walking, turning, and sitting. Its total duration is the traditional clinical outcome. In this study an instrumented TUG (iTUG) was used to supplement the quantitative information about the TUG performance of PD subjects: a single accelerometer, worn at the lower back, was used to record the acceleration signals during the test and acceleration-derived measures were extracted from the recorded signals. The aim was to select reliable measures to identify and quantify the differences between the motor patterns of healthy and PD subjects; in order to do so, besides comparing each measure individually to find significant group differences, feature selection and classification were used to identify the distinctive motor pattern of PD subjects. A subset of three features (two from Turning, one from the Sit-to-Walk component), combined with an easily-interpretable classifier (Linear Discriminant Analysis), was found to have the best accuracy in discriminating between healthy and early-mild PD subjects. These results suggest that the proposed iTUG can characterize PD motor impairment and, hence, may be used for evaluation, and, prospectively, follow-up, and monitoring of disease progression.
Keywords :
accelerometers; biomedical equipment; diseases; feature extraction; gait analysis; medical signal detection; medical signal processing; signal classification; Parkinson disease; acceleration signal recording; acceleration-derived measures; accelerometer; feature classification; feature selection; instrumented TUG test; linear discriminant analysis; motor impairment quantification; motor pattern identification; motor pattern quantification; sit-to-walk component; timed up and go test; turning; Acceleration; Diseases; Harmonic analysis; Instruments; Reliability; Standards; Turning; Accelerometer; Parkinson´s disease; Timed Up and Go (TUG); classification; feature selection; Acceleration; Aged; Algorithms; Data Interpretation, Statistical; Disability Evaluation; Female; Gait Disorders, Neurologic; Humans; Locomotion; Male; Middle Aged; Movement; Parkinson Disease; Postural Balance; Reproducibility of Results; Walking;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2012.2236577