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The proposed system receives a time series signal extracted from the gait. Some preprocessing of the signal is performed, and features are then extracted. These features are then fed to the classifier, which outputs the diagnosis, that is, if the signal belongs to a subject with Huntington's Disease or not.
Oct 21, 2019
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Oct 7, 2019 · This study proposes an automatic method for identifying Huntington's disease using features extracted from gait signals derived from ...
This study proposes an automatic method for identifying Huntington's disease using features extracted from gait signals derived from force-sensitive resistors.
Feb 11, 2020 · A machine learning framework for gait classification using inertial sensors: application to elderly, post-stroke and Huntington's disease patients.
In this paper, we propose an automatic method for diagnosing Huntington's Disease using gait dynamics information. Our approach is divided into a four-stage ...
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This study proposes an automatic method for identifying Huntington's disease using features extracted from gait signals derived from force-sensitive ...
Jul 27, 2021 · Disturbances of gait occur in all stages of Huntington's disease (HD) including the premanifest and prodromal stages.
Missing: Diagnosing | Show results with:Diagnosing
Jun 2, 2022 · classification of this disease. In this paper, we propose an automatic method for diagnosing Huntington's Disease using gait dynamics ...
Diagnosing Huntington's Disease Through Gait Dynamics. https://doi.org ... Daliri, M.R.: Automatic diagnosis of neuro-degenerative diseases using gait dynamics ...
Apr 9, 2024 · To examine the effect of deutetrabenazine on functional speech production and gait dynamics in individuals with Huntington's Disease (HD).
Missing: Diagnosing | Show results with:Diagnosing