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This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (1070) mHealth for Data Collection and Research (1682) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2309) Wearable Devices and Sensors (1530) Fitness Trackers and Smart Pedometers/Accelerometers (778) mHealth for Rehabilitation (546) Innovations in Exercise Rehabilitation (350) Innovations and Technology for Physical Activity Education (1052) Pulmonology, COPD (230)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55452, first published .
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Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study

Authors of this article:

Debbie de Graaf1 Author Orcid Image ;   Nienke M de Vries1 Author Orcid Image ;   Tessa van de Zande1 Author Orcid Image ;   Janneke J P Schimmel1 Author Orcid Image ;   Sooyoon Shin2 Author Orcid Image ;   Nathan Kowahl2 Author Orcid Image ;   Poulami Barman2 Author Orcid Image ;   Ritu Kapur1, 2 Author Orcid Image ;   William J Marks Jr2 Author Orcid Image ;   Alex van 't Hul3 Author Orcid Image ;   Bastiaan R Bloem1 Author Orcid Image
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Journals

  1. Farina G, Fenili G, Paronetto M, Crescioli C. Synaptic Plasticity in Neurodegenerative Diseases: Impact of Exercise as Promising Therapeutic Tool. Cells 2026;15(2):197 View
  2. Ymeri G, Caramaschi S, Haton A, Olsson C, Wassenburg M, Svenningsson P, Salvi D. Association between wrist-worn actigraphy and the MDS-UPDRS Parkinson’s disease rating scale through machine learning: an exploratory study. Frontiers in Digital Health 2026;8 View