Advances in assessing myotonia: Can sensor-engineered glove have a role?

Simona Portaro, Margherita Russo, Antonino Naro, Alessia Bramanti, Placido Bramanti, Carmelo Rodolico, Rocco Salvatore Calabrò

Research output: Contribution to journalArticle

Abstract

Non-dystrophic (NDMs) and Dystrophic Myotonias (DMs) are diseases characterized by the presence of myotonia with or without muscle weakness. A standardized myotonia assessment is important to more objectively quantify the handgrip myotonia. We screened 10 patients affected by NDM and 10 patients with DM, using the sensor-engineered glove (SEG). The time required to perform a complete finger extension (grip myotonia time, GMT) at maximum velocity (MV) after maximum voluntary contraction (MVC) was evaluated through an ad hoc protocol including rest, exercise, and ice effects on handgrip myotonia. We observed a general trend to GMT increase when applying the ice block and a GMT decrease when repeating GM movements, at individual level in both NDM and DM patients. SEG is an automated, non-invasive, quick, and easy technique for evaluating handgrip myotonia in NDM and DM patients. SEG could, therefore, be considered a promising tool to evaluate myotonia and monitor treatment efficacy for clinical trials.

Original languageEnglish
Pages (from-to)3-7
Number of pages5
JournalJournal of the Neurological Sciences
Volume375
DOIs
Publication statusPublished - Apr 15 2017

Keywords

  • Adolescent
  • Adult
  • Biomedical Engineering
  • Diagnostic Techniques, Neurological
  • Equipment and Supplies
  • Female
  • Hand Strength
  • Humans
  • Male
  • Middle Aged
  • Muscle Contraction
  • Muscle, Skeletal
  • Myotonia
  • Young Adult
  • Journal Article

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