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Automatic Measurement of Postural Abnormalities With a Pose Estimation Algorithm in Parkinson’s Disease
Jung Hwan Shin, Kyung Ah Woo, Chan Young Lee, Seung Ho Jeon, Han-Joon Kim, Beomseok Jeon
J Mov Disord. 2022;15(2):140-145.   Published online January 19, 2022
DOI: https://doi.org/10.14802/jmd.21129
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  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary Material
Objective
This study aims to develop an automated and objective tool to evaluate postural abnormalities in Parkinson’s disease (PD) patients.
Methods
We applied a deep learning-based pose-estimation algorithm to lateral photos of prospectively enrolled PD patients (n = 28). We automatically measured the anterior flexion angle (AFA) and dropped head angle (DHA), which were validated with conventional manual labeling methods.
Results
The automatically measured DHA and AFA were in excellent agreement with manual labeling methods (intraclass correlation coefficient > 0.95) with mean bias equal to or less than 3 degrees.
Conclusion
The deep learning-based pose-estimation algorithm objectively measured postural abnormalities in PD patients.

Citations

Citations to this article as recorded by  
  • Three‐Dimensional Mesh Recovery from Common 2‐Dimensional Pictures for Automated Assessment of Body Posture in Camptocormia
    Robin Wolke, Olga Gavriliuc, Oliver Granert, Günther Deuschl, Nils G. Margraf
    Movement Disorders Clinical Practice.2023; 10(3): 472.     CrossRef
  • Assessment of Axial Postural Abnormalities in Parkinsonism: Automatic Picture Analysis Software
    Carlo Alberto Artusi, Christian Geroin, Gabriele Imbalzano, Serena Camozzi, Stefano Aldegheri, Leonardo Lopiano, Michele Tinazzi, Nicola Bombieri
    Movement Disorders Clinical Practice.2023; 10(4): 636.     CrossRef
  • Camera- and Viewpoint-Agnostic Evaluation of Axial Postural Abnormalities in People with Parkinson’s Disease through Augmented Human Pose Estimation
    Stefano Aldegheri, Carlo Alberto Artusi, Serena Camozzi, Roberto Di Marco, Christian Geroin, Gabriele Imbalzano, Leonardo Lopiano, Michele Tinazzi, Nicola Bombieri
    Sensors.2023; 23(6): 3193.     CrossRef

JMD : Journal of Movement Disorders