Evidence map›Paper›PMID 31261726›Full record

ArticleSensors (Basel, Switzerland)2019

Review-Microwave Radar Sensing Systems for Search and Rescue Purposes.

Nguyen Thi Phuoc Van, Liqiong Tang, Veysel Demir, Syed Faraz Hasan, Nguyen Duc Minh, Subhas Mukhopadhyay

Open access · goldAbstract read
In one paragraph

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 78 citations in OpenAlex.

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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

6 authors at 5 institutions in 4 countries.

Nguyen Thi Phuoc VanDepartment of Mechanical and Electrical Engineering, SFAT., Massey University, Manawatu Private Bag 11 222, Palmerston North 4442, New Zealand. V.Nguyen@massey.ac.nz.ORCID 0000-0002-1702-0230
Liqiong TangDepartment of Mechanical and Electrical Engineering, SFAT., Massey University, Manawatu Private Bag 11 222, Palmerston North 4442, New Zealand.
Veysel DemirElectrical Engineering Department, College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL 60115-2854, USA.
Syed Faraz HasanDepartment of Mechanical and Electrical Engineering, SFAT., Massey University, Manawatu Private Bag 11 222, Palmerston North 4442, New Zealand.
Nguyen Duc MinhSchool of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi 100000, Vietnam.
Subhas MukhopadhyaySchool of Engineering, MQ Centre for Smart Green Cities, Macquarie University, New South Wales, NSW 2109, Australia.
Massey University · NZHanoi University of Industry · VNHanoi University of Science and Technology · VNMacquarie University · AUNorthern Illinois University · US

Funding

Faculty for the future programme- Schlumberger Foundation granted 2017-2020New Zealand Aid Programme Granted 2016-2019
6 · The paper itself

Abstract

This paper presents a survey of recent developments using Doppler radar sensor in searching and locating an alive person under debris or behind a wall. Locating a human and detecting the vital signs such as breathing rate and heartbeat using a microwave sensor is a non-invasive technique. Recently, many hardware structures, signal processing approaches, and integrated systems have been introduced by researchers in this field. The purpose is to enhance the accuracy of vital signs' detection and location detection and reduce energy consumption. This work concentrates on the representative research on sensing systems that can find alive people under rubble when an earthquake or other disasters occur. In this paper, various operating principles and system architectures for finding survivors using the microwave radar sensors are reviewed. A comparison between these systems is also discussed.

Indexed as

Biosensing TechniquesDisastersAlgorithmsHeart RateHumansRadarRespiratory RateSignal Processing, Computer-Assistedbreathing signaldetection probabilityDoppler radarfinding survivorsheartbeatvital signals

Identifiers

PMID31261726
PMCPMC6650952
OpenAlexW2954807982

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.