ArticleCureus2026
Design of an Event-Driven, Low-Power Wearable Fall Detection Device for Hospital Use in Older Adults: A Proof-of-Concept.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As life expectancy increases, a growing proportion of hospitalized older adults require continuous medical supervision during inpatient care. Falls among hospitalized older adult inpatients are a major patient-safety challenge, associated with increased injury rates, prolonged hospital stays, and higher healthcare costs. Adoption of existing fall detection solutions has been limited by patient privacy concerns, high implementation costs, inconsistent detection performance, such as false alarms, limited battery life, and discomfort associated with intrusive wearable designs. This study presents a compact and lightweight wearable device for fall detection and alerting designed for hospital environments. Bluetooth Low Energy connectivity enables transmission of alerts to a paired mobile device or nurse station gateway used by healthcare staff, while an onboard audible buzzer provides immediate notification to nearby personnel within the patient room. The device is battery-powered and rechargeable, enabling extended operation without frequent recharging. The wearable fall detection device was successfully implemented as a compact, clip-on system integrating inertial sensing, local alerting, and Bluetooth Low Energy communication. An event-driven architecture enabled continuous motion monitoring with low average power consumption, resulting in an estimated battery life of approximately 1,800 hours under idle conditions and 100-200 hours under a defined worst-case continuous activity scenario, based on component datasheet current consumption and assumed duty cycles. The system supports both immediate audible alerts for nearby staff and remote notifications via Bluetooth, enabling timely intervention in hospital settings
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Registered trials
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