Clinical fall risk assessments often involve questionnaires
or functional assessments of posture, gait, cognition,
and other fall risk factors [17]. These clinical
assessments can be subjective, qualitative [17,18], and
use threshold assessment scores to binarily categorize
people as fallers and non-fallers. This oversimplifies
geriatric fall risk, which is more accurately modeled
by a continuum of fall risk with fuzzy boundaries between
multiple risk categories, such as low, moderate,
and high fall risk. Sensors that measure whole body
motion [19], ground reaction forces [20], and electromyographic
signals [21] provide objective, quantitative
measures for fall risk assessment. However, the associated
equipment is typically located in a gait laboratory
and requires a time consuming setup that is
difficult to practically integrate into typical clinic
schedules. This limits the testing location and frequency.
A wearable system that can efficiently capture
and analyze quantitative mobility data could improve
fall risk assessment.
Clinical fall risk assessments often involve questionnaires
or functional assessments of posture, gait, cognition,
and other fall risk factors [17]. These clinical
assessments can be subjective, qualitative [17,18], and
use threshold assessment scores to binarily categorize
people as fallers and non-fallers. This oversimplifies
geriatric fall risk, which is more accurately modeled
by a continuum of fall risk with fuzzy boundaries between
multiple risk categories, such as low, moderate,
and high fall risk. Sensors that measure whole body
motion [19], ground reaction forces [20], and electromyographic
signals [21] provide objective, quantitative
measures for fall risk assessment. However, the associated
equipment is typically located in a gait laboratory
and requires a time consuming setup that is
difficult to practically integrate into typical clinic
schedules. This limits the testing location and frequency.
A wearable system that can efficiently capture
and analyze quantitative mobility data could improve
fall risk assessment.
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