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

NIH funded proposals with peer-review reports (USA) (112) mHealth for Data Collection and Research (1196) Neurology and Neurosciences (286) Falls and Emergency Detection with Sensors and other Technologies (57) Falls Prevention in the Elderly (101) Telehealth and Telemonitoring (2086) Wearable Devices and Sensors (1133) Digital Biomarkers and Digital Phenotyping (284) Dementia and Cognitive Decline (696)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71955, first published .
Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Authors of this article:

Audrey Hoyt1 Author Orcid Image ;   Casey Dorney1 Author Orcid Image ;   Peggy Auinger1 Author Orcid Image ;   Kathryn Murphy1 Author Orcid Image ;   Michelle Porto1 Author Orcid Image ;   Katrina Schmier1 Author Orcid Image ;   Renee Wilson1 Author Orcid Image ;   James C Beck2 Author Orcid Image ;   Stephanie Benvengo3 Author Orcid Image ;   Kevin Biglan1, 4 Author Orcid Image ;   E Ray Dorsey1 Author Orcid Image ;   Alberto J Espay5 Author Orcid Image ;   Eric A Macklin6 Author Orcid Image ;   Mariana HG Monje7 Author Orcid Image ;   Dan Novak2 Author Orcid Image ;   David Oakes1 Author Orcid Image ;   Larsson Omberg8 Author Orcid Image ;   Michael A Schwarzschild6 Author Orcid Image ;   Solveig K Sieberts9 Author Orcid Image ;   Tanya Simuni7 Author Orcid Image ;   Caroline M Tanner10 Author Orcid Image ;   Daniel Weintraub11 Author Orcid Image ;   Ruth B Schneider1 Author Orcid Image
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