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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

Scatterplot of the estimated FSHD Clinical Scores and TUG times in relation to the actual FSHD Clinical Scores and TUG using the multi-task learning regression model. The lines represent the regression lines with a 95% CI band. FSHD: facioscapulohumeral muscular dystrophy; TUG: Timed Up and Go. Evaluating the performance of the single-task FSHD Clinical Score, TUG, and the multitask FSHD Clinical Score and TUG regression models trained on an incrementally increasing time window.

Ahnjili Zhuparris, Ghobad Maleki, Ingrid Koopmans, Robert J Doll, Nicoline Voet, Wessel Kraaij, Adam Cohen, Emilie van Brummelen, Joris H De Maeyer, Geert Jan Groeneveld

JMIR Form Res 2023;7:e41178

Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study

Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study

We investigated the feasibility of remotely monitoring multiple features such as step count, sleep, app use, and location tracking in patients with FSHD and non-FSHD controls. First, we evaluated the participants’ tolerability of these devices. We then characterized the patients with FSHD and non-FSHD controls in terms of composites of social, physical, and biometric activities.

Ghobad Maleki, Ahnjili Zhuparris, Ingrid Koopmans, Robert J Doll, Nicoline Voet, Adam Cohen, Emilie van Brummelen, Geert Jan Groeneveld, Joris De Maeyer

JMIR Form Res 2022;6(9):e31775