Validation of an open-source smartphone step counting algorithm in clinical and non-clinical settings.

ABSTRACT:

Background

Step counts are increasingly used in public health and clinical research to assess wellbeing, lifestyle, and health status. However, estimating step counts using commercial activity trackers has several limitations, including a lack of reproducibility, generalizability, and scalability. Smartphones are a potentially promising alternative, but their step-counting algorithms require robust validation that accounts for temporal sensor body location, individual gait characteristics, and heterogeneous health states.

Objective

Our goal was to evaluate an open-source step-counting method for smartphones under various measurement conditions against step counts estimated from data collected simultaneously from different body locations ("internal" validation), manually asce

SUBMITTER: Straczkiewicz M 

PROVIDER: S-EPMC10081434 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature