Quantitative Assessment of Finger Movement Profile in a Visual-Motor Task Based on a Tablet Computer: The Application in Parkinson's Disease

J Parkinsons Dis. 2019;9(4):811-819. doi: 10.3233/JPD-191695.

Abstract

Background/objective: Easily applicable, quantitative assessment of movement is widely needed in various clinical settings, especially in the evaluation of Parkinson's disease (PD).

Methods: We developed a highly repeatable tablet computer-based finger movement assessment system (FMAS) to record finger movement profile in a visual-motor task both in PD (n = 217) and healthy participants (n = 221).

Results: We found age-related declines in finger movement performance among the healthy participants but not in PD patients with the FMAS. Significant differences in movement time (MT) and latency/MT ratio but not in latency were observed in PD patients as compared with healthy subjects (P < 0.000). Meanwhile, we identified the latency/MT ratio as the optimal parameter to differentiate PD from age-matched healthy subjects in an age-independent manner (cut-off 1.08 with corresponding AUC = 0.861). In addition, a significant correlation was found between finger movement parameters and the Hoehn and Yahr scale (H-Y scale), UPDRS III score and the duration of the disease in PD patients (P < 0.01).

Conclusion: It was suggested that the tablet computer-based evaluation of finger movement provided an easily applicable quantitative method to assess the conditions of PD patients.

Keywords: Parkinson’s disease; finger movement profile; hypokinesia; quantitative assessment; visual motor task.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Computers, Handheld
  • Female
  • Fingers / physiopathology*
  • Humans
  • Male
  • Middle Aged
  • Monitoring, Ambulatory / instrumentation
  • Monitoring, Ambulatory / methods*
  • Movement*
  • Parkinson Disease / diagnosis*
  • Parkinson Disease / physiopathology
  • Psychomotor Performance*
  • Sensitivity and Specificity
  • User-Computer Interface