Evidence map›Paper›PMID 38405623›Full record

ArticleForensic sciences research2023

Ground penetrating radar used to detect drowning victims under ice.

Gordon G Giesbrecht, Mitesh Patel, Rafid Javid, Scott Murray, Vrushil Patel, Noah Wiens, Darren Xie, Ian Jeffrey, Philip Ferguson

Open access · goldAbstract read
In one paragraph

Article in Forensic sciences research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Gordon G GiesbrechtFaculty of Kinesiology and Recreation Management, Departments of Emergency Medicine and Anesthesia, University of Manitoba, Winnipeg, Canada.
Mitesh PatelDepartment of Mechanical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Rafid JavidDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Scott MurrayDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Vrushil PatelDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Noah WiensDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Darren XieDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Ian JeffreyDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
Philip FergusonDepartment of Mechanical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada.
University of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year, people drown after falling through ice on rivers and lakes. In some cases, the body of the victim floats up to the underside of the ice, making detection and recovery difficult using traditional search methods with divers. A robust and contact-less sensing system is required to locate drowning victims that does not put rescue teams at risk of falling through the ice themselves. In this paper, we demonstrate the feasibility of a ground penetrating radar (GPR) for detecting deceased drowning victims that have floated up to the underside of the ice. We placed three euthanized pigs simulating drowning victims under ice ranging in thickness from 5 to 26 cm. We dragged a GPR at 500 MHz and 1 GHz across the ice to detect the simulated victims using an autocorrelation-based detection technique. Results showed that both frequencies were able to detect the rough shape of the simulated victims at ice thicknesses up to 42 cm, with the 1-GHz data showing slightly more resolution than the 500-MHz data. These results show promise and suggest future development of an autonomous drone-based GPR detection system. Key points: Floating bodies are successfully detected under both ice and snow using a commercial ground penetrating radar system with ice depths reaching up to 26 cm in a controlled environment.The differences between using radar systems operating at/around 500 MHz and 1 GHz were not pronounced from the point of view of detection.Future studies should investigate the capabilities for detecting bodies in more realistic settings.

Indexed as

cold water drowningground penetrating radarthrough-ice remote sensing

Identifiers

PMID38405623
PMCPMC10894067
OpenAlexW4389514625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.