Automated Finger Chase (ballistic tracking) in the Assessment of Cerebellar Ataxia

Ha Tran, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David Szmulewicz

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

A hallmark of cerebellar disease is impaired accuracy of intended movement which is often summarized as ataxia or incoordination. The diagnosis and assessment of cerebellar ataxia (CA) is primarily based on the expert clinician's visual and auditory observations of the performance of these tasks, and as such, a significant level of subjectivity is implied. In order to address the limitations of this subjectivity we designed a novel automated system, utilizing the Microsoft Kinect device, to capture the finger chase task (in the assessment of upper limb ataxia) which is a part of the assessment of cerebellar upper limb function. Capturing the movements of the marker attached on the subject's finger when following the target point generated by the program that mimics the finger movement of the clinician, we were able to capture the disability and provide a novel objective measure of the CA affecting upper limb function. In our approach, we essentially quantified the difference between the intended and achieved trajectories using Dynamic Time Warping (DTW) technique. Further, signal delay times and directional changes of the velocity of the marker were considered in characterizing the disability associated with patient's finger movements. Finally, Principal Component Analysis (PCA) was employed to combine all the relevant features, reduce feature dimension while enhancing the robustness. This analysis demonstrates a significant separation between normal subjects and CA patients, highlighting this approach as a potential diagnostic aid in the objective assessment of Cerebellar ataxia.

Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
EditorsGregg Suaning, Olaf Dossel
Place of PublicationDanvers MA USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3521-3524
Number of pages4
ISBN (Electronic)9781538636466, 9781538636459
DOIs
Publication statusPublished - 26 Oct 2018
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2018 - Honolulu, United States of America
Duration: 17 Jul 201821 Jul 2018
Conference number: 40th
https://embc.embs.org/2018/
https://ieeexplore.ieee.org/xpl/conhome/8471725/proceeding (Proceedings)

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2018
Abbreviated titleEMBC 2018
CountryUnited States of America
CityHonolulu
Period17/07/1821/07/18
Internet address

Keywords

  • ataxia
  • ballistic tracking
  • Cerebellar
  • delay time
  • Dynamic Time Warping
  • finger chase
  • Microsoft Kinect
  • PCA

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