Evidence map›Paper›PMID 40942663›Full record

ArticleSensors (Basel, Switzerland)2025

Advancing Remote Life Sensing for Search and Rescue: A Novel Framework for Precise Vital Signs Detection via Airborne UWB Radar.

Yu Jing, Yili Yan, Zhao Li, Fugui Qi, Tao Lei, Jianqi Wang, Guohua Lu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yu JingDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Yili YanDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Zhao LiDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Fugui QiDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Tao LeiDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Jianqi WangDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.
Guohua LuDepartment of Military Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.ORCID 0000-0001-6421-0232

Funding

Chinese Comprehensive Research Foundation KJ2022A000308Interdisciplinary Research Fund of Fourth Military Medical University XJ2023000201
6 · The paper itself

Abstract

Non-contact vital signs detection of the survivors based on bio-radar to identify their life states is significant for field search and rescue. However, when transportation is interrupted, rescue workers and equipment are unable to arrive at the disaster area promptly. In this paper, we report a hovering airborne radar for non-contact vital signs detection to overcome this challenge. The airborne radar system supports a wireless data link, enabling remote control and communication over distances of up to 3 km. In addition, a novel framework based on blind source separation is proposed for vital signals extraction. First, range migration caused by the platform motion is compensated for by the envelope alignment. Then, the respiratory waveform of the human target is extracted by the joint approximative diagonalization of eigenmatrices algorithm. Finally, the heartbeat signal is recovered by respiratory harmonic suppression through a feedback notch filter. The field experiment results demonstrate that the proposed method is capable of precisely extracting vital signals with outstanding robustness and adaptation in more cluttered environments. The work provides a technical basis for remote high-resolution vital signs detection to meet the increasing demands of actual rescue applications.

Indexed as

RadarRemote Sensing TechnologyRescue WorkVital SignsAlgorithmsHeart RateHumansMonitoring, PhysiologicSignal Processing, Computer-Assistedairborne radarremote sensingsearch and rescuevital signs detection

Identifiers

PMID40942663
PMCPMC12431357

What OpenQuestion holds

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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.