ArticleSensors (Basel, Switzerland)2022
A Smart Multi-Sensor Device to Detect Distress in Swimmers.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed, 28 citations in OpenAlex.
- Automated vision-language framework for kinematic profiling and performance diagnostics in competitive swimming.BMC sports science, medicine & rehabilitation · 2026Article
- MS-YOLO: A Lightweight and High-Precision YOLO Model for Drowning Detection.Sensors (Basel, Switzerland) · 2024Article
- Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection.Sensors (Basel, Switzerland) · 2024Review
- LoRaWAN Transmissions in Salt Water for Superficial Marine Sensor Networking: Laboratory and Field Tests.Sensors (Basel, Switzerland) · 2023Article
- Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition.Sensors (Basel, Switzerland) · 2022Article
- Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools.Sensors (Basel, Switzerland) · 2022Article
- Wearable Pulse Oximeter for Swimming Pool Safety.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drowning is considered amongst the top 10 causes of unintentional death, according to the World Health Organization (WHO). Therefore, anti-drowning systems that can save lives by preventing and detecting drowning are much needed. This paper proposes a robust and waterproof sensor-based device to detect distress in swimmers at varying depths and different types of water environments. The proposed device comprises four main components, including heart rate, blood oxygen level, movement, and depth sensors. Although these sensors were designed to work together to boost the system's capability as an anti-drowning device, each could operate independently. The sensors were able to determine the heart rate to an accuracy of 1 beat per minute (BPM), 1% SpO
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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.