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Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72820, first published .
Elderly woman with gray hair using a smartphone with a fitness app

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

Journals

  1. Cano-de-la-Cuerda R, Estrada-Barranco C, Martín-Casas P, Marcos-Antón S, Ortiz-Gutiérrez R, Laguarta-Val S, Jiménez-Antona C. Speed Matters: Challenging the Notion of Velocity-Independent Rigidity Using Technological Devices in People with Parkinson’s Disease: A Systematic Review. Neurology International 2025;17(11):186 View
  2. Polvorinos-Fernández C, Sigcha L, Valero M, Grande M, de Arcas G, Pavón I. Machine Learning Assessment of Parkinson’s Disease Using a Novel Free-Living Egg-Beating Motor Task. Technologies 2026;14(6):345 View

Books/Policy Documents

  1. Yang F, Lin Z, Zhang W, Chen Y. Design, User Experience, and Usability. View
  2. Olugbemi O, Ajonijebu D, Ambali D. Evolution and Innovation in Parkinson's Disease Therapies in Under-Resourced Settings. View

Conference Proceedings

  1. Polvorinos-Fernández C, Sighca L, Borzì L, Olmo G, de Arcas G, Pavón I. 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC). Evaluation of Parkinson's Motor Symptoms in Clinical and Free-Living Conditions View