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Camera-based objective measures of Parkinson's disease gait features.
van Kersbergen, Jannis; Otte, Karen; de Vries, Nienke M; Bloem, Bastiaan R; Röhling, Hanna M; Mansow-Model, Sebastian; van der Kolk, Nicolien M; Overeem, Sebastiaan; Zinger, Svitlana; van Gilst, Merel M.
Afiliación
  • van Kersbergen J; Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Otte K; Motognosis GmbH, Schönhauser Allee 177, 10119, Berlin, Germany.
  • de Vries NM; NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
  • Bloem BR; Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Berlin, Germany.
  • Röhling HM; Department of Neurology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
  • Mansow-Model S; Department of Neurology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
  • van der Kolk NM; Motognosis GmbH, Schönhauser Allee 177, 10119, Berlin, Germany.
  • Overeem S; Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Berlin, Germany.
  • Zinger S; Motognosis GmbH, Schönhauser Allee 177, 10119, Berlin, Germany.
  • van Gilst MM; Department of Neurology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
BMC Res Notes ; 14(1): 329, 2021 Aug 26.
Article en En | MEDLINE | ID: mdl-34446098
OBJECTIVE: Parkinson's disease is a common, age-related, neurodegenerative disease, affecting gait and other motor functions. Technological developments in consumer imaging are starting to provide high-quality, affordable tools for home-based diagnosis and monitoring. This pilot study aims to investigate whether a consumer depth camera can capture changes in gait features of Parkinson's patients. The dataset consisted of 19 patients (tested in both a practically defined OFF phase and ON phase) and 8 controls, who performed the "Timed-Up-and-Go" test multiple times while being recorded with the Microsoft Kinect V2 sensor. Camera-derived features were step length, average walking speed and mediolateral sway. Motor signs were assessed clinically using the Movement Disorder Society Unified Parkinson's Disease Rating Scale. RESULTS: We found significant group differences between patients and controls for step length and average walking speed, showing the ability to detect Parkinson's features. However, there were no differences between the ON and OFF medication state, so further developments are needed to allow for detection of small intra-individual changes in symptom severity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Enfermedades Neurodegenerativas / Trastornos Neurológicos de la Marcha Tipo de estudio: Diagnostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: BMC Res Notes Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Enfermedades Neurodegenerativas / Trastornos Neurológicos de la Marcha Tipo de estudio: Diagnostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: BMC Res Notes Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido