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Clustring decrement FT conf paper Zhibin Zhao EMBC2020_final.pdf (1.81 MB)

Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia

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conference contribution
posted on 2023-05-23, 14:47 authored by Zhao, Z, Fang, H, Williams, S, Relton, SD, Jane AltyJane Alty, Casson, AJ, Wong, DC
Parkinson’s disease is diagnosed based on expert clinical observation of movements. One important clinical feature is decrement, whereby the range of finger motion decreases over the course of the observation. This decrement has been assumed to be linear but has not been examined closely.We previously developed a method to extract a time series representation of a finger-tapping clinical test from 137 smart- phone video recordings. Here, we show how the signal can be processed to visualize archetypal progression of decrement. We use k-means with features derived from dynamic time warping to compare similarity of time series. To generate the archetypal time series corresponding to each cluster, we apply both a simple arithmetic mean, and dynamic time warping barycenter averaging to the time series belonging to each cluster.Visual inspection of the cluster-average time series showed two main trends. These corresponded well with participants with no bradykinesia and participants with severe bradykinesia. The visualizations support the concept that decrement tends to present as a linear decrease in range of motion over time.Clinical relevance— Our work visually presents the archetypal types of bradykinesia amplitude decrement, as seen in the Parkinson’s finger-tapping test. We found two main patterns, one corresponding to no bradykinesia, and the other showing linear decrement over time.


Publication title

42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)






Wicking Dementia Research Education Centre


Institute of Electrical and Electronics Engineers

Place of publication

Montreal, QC, Canada

Event title

42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Event Venue

Montreal, QC, Canada

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2020 IEEE

Repository Status

  • Open

Socio-economic Objectives

Clinical health not elsewhere classified

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