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Dataset Information

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.


ABSTRACT:

Background

Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validate DMOs estimated using real-world gait data from six different cohorts, focusing on gait sequence detection, foot initial contact detection (ICD), cadence (CAD) and stride length (SL) estimates.

Methods

Twenty healthy older adults, 20 people with Parkinson's disease, 20 with multiple sclerosis, 19 with proximal femoral fracture, 17 with chronic obstructive pulmonary disease and 12 with congestive heart failure were monitored for 2.5 h in the real-world, using a single wearable device worn on the lower back. A reference syste

SUBMITTER: Mico-Amigo ME 

PROVIDER: S-EPMC10265910 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature