Analytical and clinical validation of step counting method in people living with amyotrophic lateral sclerosis.

ABSTRACT: Accelerometer-based digital measures offer a scalable and low-burden means of quantifying physical function, but existing processing algorithms may not quantify pathological gait correctly. In people living with amyotrophic lateral sclerosis (ALS), where gait patterns are slow, variable, and asymmetric, validated tools to quantify mobility are urgently needed. We proposed a step-counting algorithm designed for ankle-worn accelerometers that leverage wavelet-based decomposition to quantify heel strikes under heterogeneous gait patterns. We validated this method using five datasets comprising healthy individuals and those with ALS in controlled and semi-controlled activities, and we performed clinical validation in a free-living cohort of 305 people with ALS. We tested our method for accurac

SUBMITTER: Straczkiewicz M 

PROVIDER: S-EPMC12630758 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature