Evidence map›Paper›PMID 40218670›Full record

ReviewSensors (Basel, Switzerland)2025

Motion Cancellation Technique of Vital Signal Detectors Based on Continuous-Wave Radar Technology.

Min-Seok Kwon, Yuna Park, Joo-Eun Park, Geon-Haeng Lee, Sang-Hoon Jeon, Jae-Hyun Lee, Joon-Hyuk Yoon, Jong-Ryul Yang

Abstract readReview
In one paragraph

Review 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Min-Seok KwonDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Yuna ParkDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Joo-Eun ParkDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Geon-Haeng LeeDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.ORCID 0000-0001-9705-2912
Sang-Hoon JeonDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Jae-Hyun LeeDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Joon-Hyuk YoonDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.ORCID 0000-0002-0323-1475
Jong-Ryul YangDepartment of Electrical and Electronics Engineering, Konkuk University, Seoul 05029, Republic of Korea.ORCID 0000-0003-4939-3274

Funding

Konkuk University 2024-A019-0305
6 · The paper itself

Abstract

Continuous-wave (CW) radar sensors can remotely measure respiration and heartbeat by detecting the periodic movements of internal organs. However, external disturbances, such as random body motion (RBM) or environmental interference, significantly degrade the signal-to-noise ratio (SNR) and reduce the accuracy of vital sign detection. The various motion cancellation techniques that have been proposed to enhance robustness against RBMs include improvements in radar architecture, advanced signal processing algorithms, and studies on electromagnetic propagation characteristics. This paper provides a comprehensive review of recent advancements in motion cancellation techniques for CW radar-based vital sign detectors and discusses future research directions to improve detection performance in dynamic environments.

Indexed as

continuous waveDoppler radarmodulated signalsmotion cancellationradar sensorsrandom body motionvital sign detectors

Identifiers

PMID40218670
PMCPMC11991636

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.