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Communication Dans Un Congrès Année : 2020

Shape tracing app for movement disorder detection

Résumé

Shape tracing tests for the detection and assessment of hand movement disorders are predominantly performed manually in the presence of a clinician. These procedures are therefore labour intensive, expensive, and subjective. Digital tests have been proposed to automate this assessment process, to answer the need of affordable healthcare for all. A straightforward automation solution is a conversion of the shape tracing tests from pen and paper to a mobile device. This study implemements realtime dynamic touch detection on a mid-range tablet for shape tracing. The tracing app developed was tested on 20 movement disorder patients and 10 control subjects. The results convey that the interface allows for successful self-administration of the tests. For all subjects, the accuracy was successfully preserved in the real-time dynamic acquisition of the tracing process.
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Dates et versions

hal-03192420 , version 1 (12-04-2021)

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Citer

Vered Aharonson, Sarah Ward, David Anderson, David Milton Rubin, Michiel Postema. Shape tracing app for movement disorder detection. 2020 International SAUPEC/RobMech/PRASA Conference, Jan 2020, Cape Town, South Africa. pp.1-4, ⟨10.1109/SAUPEC/RobMech/PRASA48453.2020.9041051⟩. ⟨hal-03192420⟩
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