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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
INTRODUCTION: The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis is shifting to unsupervised monitoring in naturalistic and unconstrained settings. However,...
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