This paper is in the following e-collection/theme issue:
Development and Evaluation of Research Methods, Instruments and Tools (511) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Research Instruments, Questionnaires, and Tools (589) mHealth for Data Collection and Research (981) mHealth for Rehabilitation (269) Wearable Devices and Sensors (903) Formative Evaluation of Digital Health Interventions (2491) Cognitive and Neurorehabilitation (267) Wearable Devices and Sensors (903) Wearable Devices and Sensors (26) Falls and Emergency Detection with Sensors and other Technologies (37) Digital Biomarkers and Digital Phenotyping (198)Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/60673, first published
.
Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study
Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study
Authors of this article:
Matthew Scaramozza1 ; Aurélie Ruet2, 3 ; Patrizia A Chiesa1 ; Laïtissia Ahamada4 ; Emmanuel Bartholomé1 ; Loïc Carment4 ; Julie Charre-Morin2 ; Gautier Cosne1 ; Léa Diouf4 ; Christine C Guo1 ; Adrien Juraver1 ; Christoph M Kanzler1 ; Angelos Karatsidis1 ; Claudia Mazzà1 ; Joaquin Penalver-Andres1 ; Marta Ruiz5 ; Aurore Saubusse2 ; Gabrielle Simoneau1 ; Alf Scotland1 ; Zhaonan Sun1 ; Minao Tang1 ; Johan van Beek1 ; Lauren Zajac1 ; Shibeshih Belachew1 ; Bruno Brochet3 ; Nolan Campbell1
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