ArticleFrontiers in digital health2025
Exploratory analysis of smartphone-based step counts as a digital biomarker for survival in ALS patients.
Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Comparison of Consumer Smartwatch and Research-Grade Accelerometer-Derived Step Counts in Amyotrophic Lateral Sclerosis.Muscle & nerve · 2026Observational
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10 authors.
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Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive and debilitating neurodegenerative disease. Digital biomarkers derived from smartphone data can enable scalable, low-cost, remote, unobtrusive, and quantitative measurement of physical activity (PA). These biomarkers offer opportunities for quasi-continuous assessment of PA levels, which may provide new methods for monitoring ALS disease progression in real time. In this exploratory study, we analyzed data from 31 individuals with ALS (including 16 deaths) with up to 9 years of follow-up (median 3 years) to assess the impact of incorporating smartphone-derived PA measures into survival prediction models. We examine whether the strength of the statistical association with survival differs when PA is summarized as (i) a simple metric, such as the mean daily step count, vs. (ii) distributional representations of PA. The exploratory results suggest that the addition of PA variables defined via distributional representations improves the performance of the model, as reflected by higher C-score values (
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