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

Pilot studies (ehealth) (86) Wearable Devices and Sensors (655) mHealth for Data Collection and Research (673) Formative Evaluation of Digital Health Interventions (1475) New Methods (663) Machine Learning (1001)

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

Authors of this article:

Ahnjili Zhuparris 1 Author Orcid Image ;   Ghobad Maleki 1 Author Orcid Image ;   Ingrid Koopmans 1 Author Orcid Image ;   Robert J Doll 1 Author Orcid Image ;   Nicoline Voet 2 Author Orcid Image ;   Wessel Kraaij 3 Author Orcid Image ;   Adam Cohen 1 Author Orcid Image ;   Emilie van Brummelen 1 Author Orcid Image ;   Joris H De Maeyer 4 Author Orcid Image ;   Geert Jan Groeneveld 1 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics
Ahnjili Zhuparris 1 , MSc ;   Ghobad Maleki 1 , BSc, MD ;   Ingrid Koopmans 1 , MSc ;   Robert J Doll 1 , PhD ;   Nicoline Voet 2 , PhD ;   Wessel Kraaij 3 , PhD, Prof Dr ;   Adam Cohen 1 , MD, PhD, Prof Dr ;   Emilie van Brummelen 1 , PhD ;   Joris H De Maeyer 4 , PhD ;   Geert Jan Groeneveld 1 , MD, PhD, Prof Dr

1 Centre for Human Drug Research (CHDR) , Leiden , NL

2 Department of Rehabilitation , Rehabilitation Center Klimmendaal , Nijmegen , NL

3 Leiden Institute of Advanced Computer Science , Leiden University , Leiden , NL

4 Facio Therapies , Leiden , NL

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