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The purpose of this study is to evaluate the feasibility and efficacy of a smart airbag system that detects and mitigates fall-related impact in individuals with high fall risk.
Full description
The purpose of this study is to evaluate the feasibility and efficacy of a smart airbag system that detects and mitigates fall-related impact in individuals with high fall risk.
The specific aims of this study are:
The investigators hypothesize that a soft, smart airbag system that uses advanced machine learning algorithms can accurately detect and mitigate falls, deploying appropriately to reduce hip fractures due to falls. The investigators also expect that wearing this device will decrease fear of falling and thus increase community mobility and social interaction.
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Inclusion and exclusion criteria
INCLUSION AND EXCLUSION CRITERIA
All potential subjects will be evaluated by research staff in order to match them to the inclusion and exclusion criteria that has been established - see below:
Inclusion Criteria - Able bodied Subjects:
Exlusion Criteria - Able bodied Subjects:
Inclusion Criteria - Fall Risk Subjects:
Exclusion Criteria - Fall Risk Subjects
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Central trial contact
Kyle Embry, PhD; Olivia Botonis, BS
Data sourced from clinicaltrials.gov
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