André Pierre Legrand1, Isabelle Rivals2, Aliénor Richard3, Emmanuelle Apartis4, Emmanuel Roze5, Marie Vidailhet5, Sabine Meunier3, Elodie Hainque5. 1. ESPCI Paris, PSL Research University, Paris, France. Electronic address: andre-pierre.legrand@espci.fr. 2. Equipe de Statistique Appliquée, ESPCI Paris, PSL Research University, UMRS 1158, Paris, France. 3. Inserm U 1127, CNRS UMR 7225, Université de la Sorbonne, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle Epinière, F-75013, Paris, France. 4. Inserm U 1127, CNRS UMR 7225, Université de la Sorbonne, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle Epinière, F-75013, Paris, France; Département de Physiologie, Hôpital Saint-Antoine, AP-HP, Paris, France. 5. Inserm U 1127, CNRS UMR 7225, Université de la Sorbonne, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle Epinière, F-75013, Paris, France; Département de Neurologie, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France.
Abstract
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.
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.
Authors: Daniel A Pupo; John W Kakareka; Jonathan Krynitsky; Lorenzo Leggio; Tom Pohida; Stephanie Studenski; Brandon K Harvey Journal: Front Aging Neurosci Date: 2018-09-24 Impact factor: 5.750