» Articles » PMID: 17601199

On the Use of Low-cost Computer Peripherals for the Assessment of Motor Dysfunction in Parkinson's Disease--quantification of Bradykinesia Using Target Tracking Tasks

Overview
Publisher IEEE
Date 2007 Jul 3
PMID 17601199
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

The potential of computer games peripherals to measure the motor dysfunction in Parkinson's diseases is assessed. Of particular interest is the quantification of bradykinesia. Previous studies used modified or custom haptic interfaces, here an unmodified force feedback joystick and steering wheel are used with a laptop. During testing an on screen cursor moves in response to movements of the peripheral, the user has to track a continuously moving target (pursuit tracking), or move to a predetermined target (step tracking). All tasks use movement in the horizontal axis, allowing use of joystick or steering wheel. Two pursuit tracking tasks are evaluated, pseudo random movement, and a swept frequency task. Two step tracking tasks are evaluated, movement between two or between two of five fixed targets. Thirteen patients and five controls took part on a weekly basis. Patients were assessed for bradykinesia at each session using standard clinical measures. A range of quantitative measures was developed to allow comparison between and within patients and controls using analysis of variance (ANOVA). Both peripherals are capable of discriminating between controls and patients, and between patients with different levels of bradykinesia. Recommendations for test procedures and peripherals are given.

Citing Articles

Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms.

Chandrabhatla A, Pomeraniec I, Ksendzovsky A NPJ Digit Med. 2022; 5(1):32.

PMID: 35304579 PMC: 8933519. DOI: 10.1038/s41746-022-00568-y.


An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson's Disease.

Albani G, Ferraris C, Nerino R, Chimienti A, Pettiti G, Parisi F Sensors (Basel). 2019; 19(21).

PMID: 31684020 PMC: 6864792. DOI: 10.3390/s19214764.


Quantitative Measurement of Akinesia in Parkinson's Disease.

Lalvay L, Lara M, Mora A, Alarcon F, Fraga M, Pancorbo J Mov Disord Clin Pract. 2018; 4(3):316-322.

PMID: 30363442 PMC: 6174408. DOI: 10.1002/mdc3.12410.


Perceptual control models of pursuit manual tracking demonstrate individual specificity and parameter consistency.

Parker M, Tyson S, Weightman A, Abbott B, Emsley R, Mansell W Atten Percept Psychophys. 2017; 79(8):2523-2537.

PMID: 28842869 PMC: 5662710. DOI: 10.3758/s13414-017-1398-2.


Technologies Assessing Limb Bradykinesia in Parkinson's Disease.

Hasan H, Athauda D, Foltynie T, Noyce A J Parkinsons Dis. 2017; 7(1):65-77.

PMID: 28222539 PMC: 5302048. DOI: 10.3233/JPD-160878.