New insight in spiral drawing analysis methods - Application to action tremor quantification
Autor: | Emmanuel Roze, André Pierre Legrand, Isabelle Rivals, Aliénor Richard, Marie Vidailhet, Elodie Hainque, Emmanuelle Apartis, Sabine Meunier |
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Přispěvatelé: | Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL), Neurophysiologie Respiratoire Expérimentale et Clinique (UMRS 1158), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Pitié-Salpêtrière [AP-HP], Sons, Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA ), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Centre d'investigation clinique Neurosciences [CHU Pitié Salpêtrière] (CIC Neurosciences), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU) |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Adult Male Handwriting Computer science Essential Tremor Hilbert–Huang transform 03 medical and health sciences Young Adult 0302 clinical medicine Physiology (medical) medicine Humans Diagnosis Computer-Assisted Spiral Analysis method Aged Signal processing Reproducibility Essential tremor business.industry Numerical analysis Reproducibility of Results Pattern recognition Middle Aged medicine.disease Action tremor Sensory Systems 030104 developmental biology Neurology Motor Skills Computers Handheld Female Neurology (clinical) Artificial intelligence business Spiral drawing analysis Essential tremor Unravelling Empirical mode decomposition 030217 neurology & neurosurgery [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] |
Zdroj: | Clinical Neurophysiology Clinical Neurophysiology, 2017, 128 (10), pp.1823-1834. ⟨10.1016/j.clinph.2017.07.002⟩ |
ISSN: | 1872-8952 1388-2457 |
DOI: | 10.1016/j.clinph.2017.07.002⟩ |
Popis: | International audience; Objective: Spiral drawing is one of the standard tests used to assess tremor severity for the clinical evaluation of medical treatments. Tremor severity is estimated through visual rating of the drawings by movement disorders experts. Different approaches based on the mathematical signal analysis of the recorded spiral drawings were proposed to replace this rater dependent estimate. The objective of the present study is to propose new numerical methods and to evaluate them in terms of agreement with visual rating and reproducibility. Methods: Series of spiral drawings of patients with essential tremor were visually rated by a board of experts. In addition to the usual velocity analysis, three new numerical methods were tested and compared, namely static and dynamic unraveling, and empirical mode decomposition. The reproducibility of both visual and numerical ratings was estimated, and their agreement was evaluated. Results: The statistical analysis demonstrated excellent agreement between visual and numerical ratings, and more reproducible results with numerical methods than with visual ratings. Conclusions: The velocity method and the new numerical methods are in good agreement. Among the latter, static and dynamic unravelling both display a smaller dispersion and are easier for automatic analysis. Significance: The reliable scores obtained through the proposed numerical methods allow considering that their implementation on a digitized tablet, be it connected with a computer or independent, provides an efficient automatic tool for tremor severity assessment. |
Databáze: | OpenAIRE |
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