A Validation Study of a Smartphone-Based Finger Tapping Application for Quantitative Assessment of Bradykinesia in Parkinson’s DiseaseReport as inadecuate




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Background

Most studies of smartphone-based assessments of motor symptoms in Parkinson’s disease PD focused on gait, tremor or speech. Studies evaluating bradykinesia using wearable sensors are limited by a small cohort size and study design. We developed an application named smartphone tapper SmT to determine its applicability for clinical purposes and compared SmT parameters to current standard methods in a larger cohort.

Methods

A total of 57 PD patients and 87 controls examined with motor UPDRS underwent timed tapping tests TT using SmT and mechanical tappers MeT according to CAPSIT-PD. Subjects were asked to alternately tap each side of two rectangles with an index finger at maximum speed for ten seconds. Kinematic measurements were compared between the two groups.

Results

The mean number of correct tapping MCoT, mean total distance of finger movement T-Dist, mean inter-tap distance, and mean inter-tap dwelling time IT-DwT were significantly different between PD patients and controls. MCoT, as assessed using SmT, significantly correlated with motor UPDRS scores, bradykinesia subscores and MCoT using MeT. Multivariate analysis using the SmT parameters, such as T-Dist or IT-DwT, as predictive variables and age and gender as covariates demonstrated that PD patients were discriminated from controls. ROC curve analysis of a regression model demonstrated that the AUC for T-Dist was 0.92 95% CI 0.88–0.96.

Conclusion

Our results suggest that a smartphone tapping application is comparable to conventional methods for the assessment of motor dysfunction in PD and may be useful in clinical practice.



Author: Chae Young Lee, Seong Jun Kang, Sang-Kyoon Hong, Hyeo-Il Ma , Unjoo Lee , Yun Joong Kim

Source: http://plos.srce.hr/



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