2024
DOI: 10.1038/s41598-024-51766-5
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Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device

Cameron Kirk,
Arne Küderle,
M. Encarna Micó-Amigo
et al.

Abstract: This study aimed to validate a wearable device’s walking speed estimation pipeline, considering complexity, speed, and walking bout duration. The goal was to provide recommendations on the use of wearable devices for real-world mobility analysis. Participants with Parkinson’s Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Disease, Congestive Heart Failure, and healthy older adults (n = 97) were monitored in the laboratory and the real-world (2.5 h), using a lower back wea… Show more

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Cited by 9 publications
(1 citation statement)
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“…Regarding impaired locomotion (e.g., slow walking speed, asymmetrical gait, and movement smoothness), the center of mass has been widely utilized in research to assess movement performance and stability levels. For monitoring activities like walking and turning, consensus in the literature suggests using a single sensor positioned near the waist or lower back [67][68][69].…”
Section: Wearable Devices For Gait and Balance Assessment In Parkinso...mentioning
confidence: 99%
“…Regarding impaired locomotion (e.g., slow walking speed, asymmetrical gait, and movement smoothness), the center of mass has been widely utilized in research to assess movement performance and stability levels. For monitoring activities like walking and turning, consensus in the literature suggests using a single sensor positioned near the waist or lower back [67][68][69].…”
Section: Wearable Devices For Gait and Balance Assessment In Parkinso...mentioning
confidence: 99%