2020
DOI: 10.1097/jpo.0000000000000332
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The Feasibility and Validity of a Wearable Sensor System to Assess the Stability of High-Functioning Lower-Limb Prosthesis Users

Abstract: Introduction Lower-limb prosthesis users (LLPUs) experience increased fall risk due to gait and balance impairments. Clinical outcome measures are useful for measuring balance impairment and fall risk screening but experience limited resolution and ceiling effects. Recent advances in wearable sensors that can measure different components of gait stability may address these limitations. This study assessed feasibility and construct validity of a wearable sensor system (APDM Mobility Lab) to measure … Show more

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Cited by 3 publications
(1 citation statement)
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References 85 publications
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“…While not yet integrated into standard clinical practice, several studies have demonstrated that wearable sensors, machine learning, and artificial intelligence could potentially be used in clinical practice to improve prosthetic care (97)(98)(99)(100). However, many challenges still exist in integrating these technologies into clinical practice (e.g., privacy concerns with data collection and storage, maintaining software updates, data collection and storage, costeffectiveness, clinician scope of practice, health equity) (101-105).…”
Section: Consider Data Collection and Privacymentioning
confidence: 99%
“…While not yet integrated into standard clinical practice, several studies have demonstrated that wearable sensors, machine learning, and artificial intelligence could potentially be used in clinical practice to improve prosthetic care (97)(98)(99)(100). However, many challenges still exist in integrating these technologies into clinical practice (e.g., privacy concerns with data collection and storage, maintaining software updates, data collection and storage, costeffectiveness, clinician scope of practice, health equity) (101-105).…”
Section: Consider Data Collection and Privacymentioning
confidence: 99%