ArticleSensors (Basel, Switzerland)2019
An Advanced First Aid System Based on an Unmanned Aerial Vehicles and a Wireless Body Area Sensor Network for Elderly Persons in Outdoor Environments.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unmanned aerial vehicles in prehospital emergency care: current evidence, technological advances, and future perspectives.Frontiers in public health · 2025Pooled it
- Development of an embedded system-based automatic timing reminder device for improving autoclave cooling period management.PloS one · 2025Article
- Risks of Drone Use in Light of Literature Studies.Sensors (Basel, Switzerland) · 2024Review
- Unmanned aerial vehicles and pre-hospital emergency medicine.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024Review
- Survey on Path Planning for UAVs in Healthcare Missions.Journal of medical systems · 2023Review
- 5G and IoT Based Reporting and Accident Detection (RAD) System to Deliver First Aid Box Using Unmanned Aerial Vehicle.Sensors (Basel, Switzerland) · 2021Article
- Special Issue "Body Sensors Networks for E-Health Applications".Sensors (Basel, Switzerland) · 2020Article
- Internet of Unmanned Aerial Vehicles-A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management.Sensors (Basel, Switzerland) · 2019Article
- Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer.Sensors (Basel, Switzerland) · 2019Article
- Distributed Joint Cooperative Self-Localization and Target Tracking Algorithm for Mobile Networks.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For elderly persons, a fall can cause serious injuries such as a hip fracture or head injury. Here, an advanced first aid system is proposed for monitoring elderly patients with heart conditions that puts them at risk of falling and for providing first aid supplies using an unmanned aerial vehicle. A hybridized fall detection algorithm (FDB-HRT) is proposed based on a combination of acceleration and a heart rate threshold. Five volunteers were invited to evaluate the performance of the heartbeat sensor relative to a benchmark device, and the extracted data was validated using statistical analysis. In addition, the accuracy of fall detections and the recorded locations of fall incidents were validated. The proposed FDB-HRT algorithm was 99.16% and 99.2% accurate with regard to heart rate measurement and fall detection, respectively. In addition, the geolocation error of patient fall incidents based on a GPS module was evaluated by mean absolute error analysis for 17 different locations in three cities in Iraq. Mean absolute error was 1.08 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.