Medicine and Health

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders

A. Zadka, N. Rabin, et al.

Discover how researchers developed machine-learning models that accurately estimate step length using data from a single lower-back inertial measurement unit. Conducted by a talented team including Assaf Zadka, Neta Rabin, and Jeffrey M. Hausdorff, this study showcases incredible precision in measuring steps, even for participants with neurological disorders.

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Playback language: English

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