Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41178, first published .
Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study

Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study

Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study

Journals

  1. Abeltino A, Riente A, Bianchetti G, Serantoni C, De Spirito M, Capezzone S, Esposito R, Maulucci G. Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art. Nutrition Reviews 2025;83(2):e574 View
  2. Kouno N, Takahashi S, Komatsu M, Sakaguchi Y, Ishiguro N, Takeda K, Fujioka K, Matsuoka A, Fujimori M, Hamamoto R. Introduction of AI Technology for Objective Physical Function Assessment. Bioengineering 2024;11(11):1154 View
  3. Jupe E, Purushothaman M, Wang B, Lushington G, Nair S, Nadipelli V, Rubin B, Munroe M, Crawley J, Nair S, Armstrong G, Sorathia A, Adelman B. Impact of a digital platform and flare risk blood biomarker index on lupus: A study protocol design for evaluating self efficacy and disease management. Contemporary Clinical Trials Communications 2025;45:101471 View

Conference Proceedings

  1. Fattahian R, Nikkar K. 2024 10th International Conference on Artificial Intelligence and Robotics (QICAR). Predicting Disease Severity in Patients with Impaired Muscle Control Using Voice Parameters and Linear Regression View